Podcasts about Google Analytics

Data is the new competitive edge.Neil sits down with Courtney from Nimble Gravity to break down how AI, privacy changes, and Google Analytics 4 are redefining how brands track, measure, and grow online.They discuss what every e-commerce business needs to know to stay profitable in a world where targeting is fading, automation is rising, and smarter analytics now drive the biggest wins.In This Episode, We Cover:✅ How GA4 changes data tracking for every online business✅ The truth about AI-driven analytics and automated insights✅ Why clean data matters more than ever in 2025✅ How to identify your most profitable customers using web data✅ The death of hyper-targeting and what's replacing it✅ The rise of modeled data and how it impacts marketing accuracy✅ What globalization means for digital teams and collaboration

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss effective reporting and creating reports that tell a story and drive action using user stories and frameworks. You will understand why data dumping onto a stakeholder’s desk fails and how to gather precise reporting requirements immediately. You will discover powerful frameworks, including the SAINT model, that help you move from basic analysis to crucial, actionable decisions. You will gain strategies for anticipating executive questions and delivering a clear, consistent narrative throughout your entire report. You will explore innovative ways to use artificial intelligence as a thought partner to refine your analysis and structure perfect reports. Stop wasting time and start creating reports that generate real business results. Watch now! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-how-to-create-effective-reporting.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, it’s almost redundant at this point to say it’s reporting season, but as we hit quarterly ends, yearly ends, things like that, people become reflective and say, “Hey, let’s do some reports.” One of the problems that we see the most with reporting—and I was guilty of this for the majority of my career, particularly the first half—is when you’re not confident about your reporting skills, what do you do? You back the truck up and you pour data all over somebody’s desk and you hope that it overwhelms them so that they don’t ask you any questions, which is the worst possible way to do reporting. So, Katie, as a senior executive, as a leader, when someone delivers reporting to you, what do you get and what do you want to get? Katie Robbert – 00:51 Well, I would start to say reports, like the ones that you were generating, hate to see me coming. Because guess what I do, Chris, I ask a bazillion questions, starting with so what? And I think that’s really the key. As the CEO of Trust Insights, I need a report that tells me exactly what the insights and actions are so that I can do those things. And that is a user story. A user story is a simple three-part sentence: As a Persona, I want so that. If someone is giving me a report and they haven’t asked me for a user story, that’s probably step one. So, Chris, if I say, “All right, if you can pull the monthly metrics, Chris, and put it into a report, I would appreciate it.” Katie Robbert – 01:47 If I haven’t given you a user story, you need to ask me what it is, because that’s the “so what?” Why are we doing this in the first place? We have no shortage of data points. We have no shortage of information about what happened, maybe even why it happened. And that’s a problem because it doesn’t tell a story. What happens is, if you just give me all of that data back, I don’t know what to do with it. And that’s on me, and that’s on you. And so, together, one of us needs to make sure there is a user story. Ideally, I would be providing it, but if I don’t provide it, your first step is to ask for it. That is Step zero. What is the user story? Why am I pulling this report in the first place? Katie Robbert – 02:33 What is it that you, the stakeholder, expect to get out of this report? What is it you need to do with this information? That is Step zero, before you even start looking at data. Christopher S. Penn – 02:44 I love user stories, and I love them, A, for the simplicity, but B, because of that warm and comforting feeling of having covered your ass. Because if I ask you for a user story and you give me one, I build a report for that. Then you come back and say, “But this is this.” Katie Robbert – 03:03 This. Christopher S. Penn – 03:03 I’m like, “You signed off on the user. You gave me the user story, you signed off on the user story. And what you’re asking for is not in the user story.” So I think we need to recalibrate and have you give me maybe some new user stories so you can get what you want. I’m not going to tell you to go F off—not my face. But I’m also going to push back and say, “This wasn’t in the user story.” Because the reason I love user stories is because they’re the simplest but most effective form of requirements gathering. Katie Robbert – 03:36 I would agree with that. When I was a product manager, user stories saved my sanity because my job was to get all of my stakeholders aligned on a single idea. And I’ve told this before, I’d literally go to their office and camp out and get a physical signature on a piece of paper saying, “Yes, this is exactly what you’re agreeing to.” Then, when we would sit in the meeting and the development team or the design team would present the thing, the second somebody would be like, “Well, wait,” I would just hold up the piece of paper and point to their signature. It’s such an effective way to get things done. Katie Robbert – 04:23 Because what happens if you don’t have a user story to start, or any kind of requirements to start, when you’re doing reporting is exactly what you’re talking about. You end up with spreadsheets of data that doesn’t really mean anything. You end up with 60-slide PowerPoint reports with all of these visuals, and every single slide has at least four or five charts on it and some kind of a label. But there’s no story. There’s no, “Why am I looking at this?” When I think about reporting, the very first thing I want to see is—and I would say even go ahead and do this, this is sort of the pro tip— Katie Robbert – 05:00 Whatever the user story was that I gave you, put that right at the top of the report so that when I look at it, I go, “Oh, that’s what I was looking for. Great.” Because chances are, the second you walk away, I’ve already forgotten the conversation—not because it’s not important, but because a million other things have crept up. Now, when you come back to me and say, “This is what I’m delivering,” this is what I need to be reminded of. A lot of stakeholders, people in general, we’re all forgetful. Over-communicate what it is that we’re doing here in the first place. And no one’s going to be mad at that. It’s like, “Oh, now I don’t have to ask questions.” The second thing I look for is sort of that big “So what?” Katie Robbert – 05:45 We call it an executive summary. You can call it the big takeaway, whatever it is. At the very top of the report, I personally look for, “What is the big thing I need to know?” Is everything great? That’s all I need to know. Is everything terrible? I definitely need to know that. Do I need to take six big actions? Great, let me know that. Or, it’s all business as usual. Just give me the 30-second, “Here are the three bullet points that you need to know.” If you have no other time to read this report, that should be the summary at the top. I am going to, even if it’s not right then, dig into the rest of the report. But I may only in that moment be able to look at the summary. Katie Robbert – 06:33 When I see these big slide decks that people present to their executive team or to their board or to whoever they report to, it’s such a missed opportunity to not have the key takeaways right there up front. If you’re asking someone to scroll, scroll, get through it—it’s all the way at the end—they’re not going to do it, and they’re going to start picking apart everything. Even if you’ve done the work to say, “But I already summarized all of that,” it’s not right there in front of them. Do yourself a favor. Whatever it is the person you’re presenting this to needs to know, put it right in front of their face immediately. Christopher S. Penn – 07:13 Back in the day, we came up with a framework called the SAINT framework, which stands for Summary, Analysis, Insights, Next Steps, Timeline. Where I’ve seen that go wrong is people try to do too much in the summary. From Analysis, Insights, Next Steps, and Timelines, there should be one to three bullets from each that become the summary. Katie Robbert – 07:34 And that’s it? Christopher S. Penn – 07:35 Yeah, that’s it. In terms of percentages, what we generally recommend to people is that Analysis should be 10% to 15% of the report. What happened? Data Insights should be 10% to 15% of the report. Why did those things happen? We did this, and this is what happened. Or this external factor occurred, and this has happened. The remaining 50% to 60% of the report should be equally split between Next Steps—what are you going to do about it?—and Timeline—when are you going to do it? Those next steps and timeline become the decisions that you need the stakeholder to make and when they need to do it so that you get done what you need to get done. Christopher S. Penn – 08:23 That’s the part we call the three “What’s”: What happened? So what? Now what? As you progress through any measurement framework, any reporting framework, the more time you spend on “Now what,” the better a stakeholder is likely to like the report. You should absolutely, if the stakeholder wants it, provide the appendix of the data itself if they want to pour through it. But at the highest level, it should be, “Hey Katie, our website traffic was down 15% last month. The reason for it was because it was a shorter month, a lot of holidays. What we need to do is we need to spin up a small paid campaign, $500 for the next month, to boost traffic back to our key pages. I need a decision from you by October 31st. Go, no go.” Christopher S. Penn – 09:18 And that would be the short summary because that fulfills your user story of, “As a CEO, I need to know what’s going on in marketing so that I can forecast and plan for the future.” Katie Robbert – 09:31 Yep. I would say the other thing that people get wrong is trying to do too much in one report. We talk about this when we talk about dashboard development or any kind of storytelling with data. If I give you three user stories, for example, what I don’t want to see is you trying to cram everything into one report to fulfill every single user story. That’s confusing. There is nothing wrong with—because you already have all the data anyway—just giving me three different stories that fulfill the question that I’m asking. You might be like, “Well, I’m only supposed to do one monthly report. Now you’re asking me to do three monthly reports.” No, I’m not. I’m asking you to take a look at the data and answer each individual question, which you should be doing anyway. Katie Robbert – 10:29 This is the thing that drives me nuts: the lack of consistency from top to bottom. If you think of where a report starts and where it ends, I’m the person who looks at the ending and goes back through and says, “Was there a consistent thread? Am I still looking at the same information at the end that I started with at the beginning?” If you’re telling me actions about my email marketing, but you started with data about my web traffic, my eyebrows are up and I’m like, “I don’t get how we got from A to B.” That’s a big thing that I personally look for—that consistent thread throughout the entire report. If you’re giving me data on web traffic, I then expect the next steps to be about web traffic, not about a different channel. Katie Robbert – 11:20 If you have things you need to tell me about the email marketing data, start with that, because I’m going to be looking for, “Why are we talking about email marketing when our social media was where you started?” That drives me nuts to no end because then it actually puts more work on me and you: “Okay, let’s backtrack, let’s do this over again. Let’s figure out the big thing.” What I was always taught as the person executing the reports is: anticipate the questions, get to know your stakeholder. Anyone who works for me knows me, they know I’m going to ask a million questions. So one of the expectations I have of someone doing a task that I’ve delegated is know that I’m going to ask a million questions about it. Katie Robbert – 12:21 I really want you to examine and think through, “What questions would Katie ask? How do I get her off my back? How do I get her to stop being a pain in the butt and ask me a million questions?” And you’re laughing, Chris, but it’s an effective way to think through a full, well-rounded approach to any kind of a deliverable. This is what we talk about when we talk about gathering business requirements. Have you thought of what happens if we don’t do it? Have you thought of the risks? Having that full set of requirements and questions answered saves you so much time in the execution. It’s very much the same thing. Katie Robbert – 13:01 If I’m delivering something to you, Chris, the way that I’m thinking about it is, “What’s the first question Chris is going to ask me about this? Okay, can I answer that? Great. What’s the second question Chris is going to ask me about this?” And I keep going until I’m out of questions. It occurs to me that you can use generative AI to do this exercise. One of the things, Chris, that you teach in prompt engineering is the magic trick is to have the system ask you one question at a time until it has everything it needs. If you have the time and the luxury to build a synthetic version of your stakeholder, you can do that same thing. Katie Robbert – 13:48 Put together your report, give it the user story, and say, “Ask me one question at a time until there are no questions left to ask.” Christopher S. Penn – 13:57 Exactly. And if you want a scratch way to do that, one of the fastest ways is for you to take past emails or past conference call or Zoom meeting transcripts or your stakeholder’s LinkedIn profile, put that all into a single system—a GPT, a GEM, a Claude project, whatever you want to do—and say, “Behave as the stakeholder, understand what’s important to them, and then ask me one question at a time about my report until there are no questions left.” It’s super valuable, very easy way to do it. I want to go back to the thing about dashboarding and reporting because I wanted to show this. For those who are just listening, this is the cockpit of the Airbus A220, which is a popular aircraft. Christopher S. Penn – 14:42 One of the things you’ll notice: at first it looks very overwhelming, but one of the things you’ll notice is that every screen here serves one function. The altitude and course screen on the far left serves just to tell the pilot where they’re going and where the plane is right now. The navigation screen shows you where the plane is and what’s nearby. Even the controls—when you look at the controls, every lever is a different shape so that you can feel what lever your hand is on. A lot of thought has gone into this to put only the essential things that a pilot needs to get their job done. There is nothing extraneous, there is nothing wasted. Christopher S. Penn – 15:30 Because any amount of waste, any amount of confusion in a very high-stakes situation, can literally result in everyone dying. From this, we could take lessons for our reporting to say, “Does this report serve a single user story and does it do that well? Is it focused on that?” Going back to what you’re saying earlier, if there are multiple user stories, there should be multiple reports, because you can’t make everything be everything to everyone. You could not put every function on this plane in one screen. You will die! You’ll fly straight into a mountain because you’re like, “Where’s my position? What’s my GPS? Where’s the nearby? Holy crap.” By the time you figure out what’s on the screen, you’ve run into a mountain. Christopher S. Penn – 16:13 That design lesson—it really is information architecture—and design is the heart and soul of good reporting. Now, here’s the question: Why don’t we teach that? Katie Robbert – 16:27 Well, you and I teach that, but. Christopher S. Penn – 16:29 Well, yes, Trust Insights. I mean, for people who are, when you look at, for example, courses taught in business school, things we’ve both been through, that we’ve both enjoyed the lovely experience of going through a business program, a master’s degree. Katie Robbert – 16:44 Program, our own projects, all the good stuff. Christopher S. Penn – 16:47 Yeah, none of that was ever taught. Katie Robbert – 16:49 I’m speculating, but honestly, what I was about to speculate is contradictory, so that’s not helpful. No, because I was going to say, because it’s taught from the perspective of the user, the person executing it, but that would argue that, okay, that’s what they should be teaching is how to put together that kind of reporting. I actually don’t remember any kind of course or any kind of discussion about putting together some kind of data storytelling, because that’s really what we’re talking about—telling a story with the data. In business school, you get a lot of, “Here are 12 case studies about global companies and why they either succeeded or failed.” But there’s nothing about the day-to-day in terms of how they actually got to where they are. Katie Robbert – 17:54 It’s, “Henry Ford was this guy who made decisions,” or “Here’s how Wells Fargo,” or “Here’s how an international clothing company, Zara, made all their money.” That’s all really helpful to know from a big picture standpoint. I feel like a lot of what’s taught in business school is big picture unless you take stats. But stats also doesn’t teach you how to do data storytelling; it just teaches you how to analyze the data. So I actually think that it’s just a big missing component because we don’t really think about it. We think that, “Oh, it’s just a marketing function.” And even in marketing classes, you don’t really get to the data storytelling part. You get to more case studies on Facebook or “Here’s how to set up something in Google Ads.” Katie Robbert – 18:46 But then it doesn’t really tell you what to do with the data afterwards. So it’s a huge missed opportunity. I think it’s just not taught in general. I could be mistaken. It’s been a hot second since I was in business school, but my assumption is that it’s not seen as an essential part of the degree. And yet, when you get into the real world, if you can’t tell a story with the data, then you’re at a disadvantage. If you’re asking me personally as a CEO, I am open to thoughts, I’m open to ideas, I’m open to opinions. I am not open to you winging it. I’m not open to vibes. I’m not open to, “Let me just experiment in a production environment.” I’m not open to any of that. Katie Robbert – 19:36 I am open to something where you’ve done the research and you said, “I had this thought, here’s the data that backs it up, and here’s the plan moving forward.” You can use the SAINT framework for a proposal for a new idea. You can use a SAINT framework for a business plan or a business case to say, “I think we should do something different.” I’m always going to look for the data that supports your opinions. Christopher S. Penn – 20:05 Reporting is kind of a horizontal function in that it spans every department. Finance has to do reporting, and sometimes they have regulatory reasons that reporting must be in this format to be compliant with the law. HR, sales, operations—everybody has reporting. I think it’s one of those cases, like the tragedy of the commons. I don’t know if that’s the right analogy or not, but because everybody has to do it, nobody teaches it. Everybody assumes, “Oh well, that’s somebody else’s job to do that.” As a result, you end up with hot salad when it comes to the quality of reports you get. Christopher S. Penn – 20:45 When we worked at the PR agency together, the teams would put together 84-page slide decks of “Here’s what we did,” and it was never connected to results; it was never connected to stakeholders’ user stories. To your point, the simplest thing that you could do as a business professional today is to take that user story from your stakeholder and put it into generative AI with your raw data. Use Google Colab—that would be a great choice—and say, “Here’s my stakeholder’s user story of all this data. Help me understand what data is directly connected to my user story, what data is not, what data is missing that I should have, and what data is unnecessary that I can just ignore.” Christopher S. Penn – 21:34 Then, help me plan out a dashboard of the top three things that I need my stakeholder to pay attention to. That’s where you use SAINT, putting the SAINT framework as a literal knowledge block that you drop right into the chat and say, “Help me write a SAINT framework report based on this data and my user’s user story.” I guarantee if you do that, you will take your stakeholder from mildly happy to deliriously happy in one report because they’ll look at it and go, “You understand what I need to do my job.” Katie Robbert – 22:12 I would say you don’t even have to use Google Colab for something like that, especially if you’re not even really sure where to start. Chris, you’re talking about a thorough understanding of what all of the data means. If you want to even take a step back and say, “This is my stakeholder’s user story. These are the platforms that I have to work with. Can I satisfy this user story with the data that I think I have access to? What should I use? What metrics would answer this question? What am I missing?” You can do the same exercise but just keep it a little bit more high level and be like, “I have Google Analytics 4, I have HubSpot, I have Mautic. Can I answer the question being asked?” And the answer might be no. Katie Robbert – 23:03 If the generative AI says no, you can’t answer the question being asked, make sure it tells you what you need to answer that question so that you can go back to your stakeholder. Be like, “This was your user story. This is what you wanted to know. I don’t have that information. Can you get it for me? Can you help me get it? What do we need to do? Or can you adjust your expectations?” Which is probably not the way to say it to a stakeholder because they never really enjoy that. We always like to think that we know best and we know everything and that we’re never wrong, which is true 99% of the time. Christopher S. Penn – 23:41 So, to recap, use user stories, please, to get validation of your reporting requirements first. Then use any good data storytelling framework, including the SAINT framework, including the 5 Ps—use whatever you’ve got for frameworks—and use generative AI as a thought partner to say, “Can I understand what’s good, what’s bad, what’s missing, and what’s unnecessary from my data to tell the story to my stakeholder?” If you got some thoughts about how you do reporting or how you could be doing reporting better, pop by our free Slack Group. Go to Trust Insights.AI/analyticsformarketers, where you and over 4,500 marketers are asking and answering each other’s questions every single day. Wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to Trust Insights.AI/TIPodcast. Christopher S. Penn – 24:26 You can find us at all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Katie Robbert – 24:38 Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology (MarTech) selection and implementation, and high-level strategic consulting. Katie Robbert – 25:42 This includes emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, Dall E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members, such as a CMO or Data Scientist, to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In Ear Insights podcast, the Inbox Insights newsletter, the So What Live Stream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights is adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at exploring and explaining complex concepts clearly through compelling narratives and visualizations. Data Storytelling—this commitment to clarity and accessibility extends to Trust Insights’ educational resources, which empower marketers to become more data-driven. Katie Robbert – 26:48 Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Today I'm joined by Ivette Dominguez Drawe, Dealer/Owner of Alpine Automotive Group. We unpack her incredible journey from the sales floor to building a thriving dealership empire — leading one of Colorado's top-performing teams and driving a group that now sells one in every three GM vehicles in the state. This episode is brought to you by: 1. Lotlinx - What if ChatGPT actually spoke dealer? Meet LotGPT — the first AI chatbot built just for car dealers. Fluent in your market, your dealership, and your inventory, LotGPT delivers instant insights to help you merchandise smarter, move inventory faster, and maximize profit. It pulls from your live inventory, CRM, and Google Analytics to give VIN-specific recommendations, helping dealers price vehicles accurately, spot wasted spend, and uncover the hottest opportunities — all in seconds. LotGPT is free for dealers, but invite-only. Join the waitlist now @ http://www.Lotlinx.com/LotGPT 2. vAuto - As the industry's premier provider of end-to-end inventory management solutions, vAuto gives every dealer—from a single point store to the largest groups—the data, insights and tools they need to maximize returns from the new and used vehicle inventory investments. Known for its game-changing inventory management innovations, vAuto provides AI-powered predictive data science to help dealers see their future and consistently make the right, ROI-minded decisions with every vehicle they appraise, acquire, price and retail. Visit @ https://www.vauto.com⁠ 3. Nomad Content Studio - Most dealers still fumble social—posting dry inventory pics or handing it off without a plan. Meanwhile, the store down the street is racking up millions of views and selling / buying cars using video. That's where Nomad Content Studio comes in. We train your own videographer, direct what to shoot, and handle strategy, to posting, to feedback. Want in with the team behind George Saliba, EV Auto, and top auto groups? Book a call at http://www.trynomad.co Check out Car Dealership Guy's stuff: For dealers: Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dealership recruiting ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgrecruiting.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Fix your dealership's social media ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.trynomad.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ For industry vendors: Advertise with Car Dealership Guy ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgpartner.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Topics: 00:07 Why start a dealership in 2005? 01:56 Key to a successful husband-wife team? 05:44 Secret to 20 years in business? 09:10 How does community involvement drive success? 14:49 Most creative marketing strategy used? 23:14 How to choose digital retailing partners? 27:19 What does a Retention Manager do? 30:07 Benefits of launching mobile service? 39:45 Why diversify into new business ventures? Car Dealership Guy Socials: X ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠x.com/GuyDealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠instagram.com/cardealershipguy/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tiktok.com/@guydealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/company/cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠threads.net/@cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Everything else ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

This episode is sponsored by SearchMaster, the leader in AI Search Optimization and traditional paid search keyword optimization. Future-proof your SEO strategy. Sign up now for free!   Watch this episode on YouTube!   On this episode of the Marketing x Analytics Podcast, host Alex Sofronas talks with Joshua Lauer, CEO of Lauer Creations, about marketing intelligence consulting. Joshua discusses consolidating various marketing data sources into a data warehouse, automating reporting with tools like Google Analytics, BigQuery, and Looker Data Studio, and ensuring accurate tracking. He also covers metrics that businesses should focus on, potential pitfalls in marketing data and attribution, and the benefits of both internal and external data management resources. He concludes by offering a deep dive audit for interested listeners. Follow Marketing x Analytics! X          |          LinkedIn Click Here for Transcribed Episodes of Marketing x Analytics All view are our own.

Javan Van Gronigen is the Co-Founder of Donately, a leading fundraising platform that has processed over $180M in donations for 1,400+ nonprofits. With 15+ years in digital marketing and social impact, he helped create accessible, transparent fundraising technology after his work on the global Kony 2012 campaign. Key Takeaways:Nonprofits thrive when they align marketing, storytelling, and data into a unified approach that strengthens both mission and message, especially when working with small teams and limited resources.Tools like Donately, Google Analytics, and AI empower nonprofits to personalize donor experiences, track engagement, and make informed decisions that drive sustainable growth.Establishing a steady rhythm—such as quarterly roadmaps—helps organizations stay consistent while leaving room to explore new ideas, platforms, and emerging technologies.Nonprofits that take risks, communicate openly, and lead with authenticity build stronger trust, greater visibility, and lasting donor relationships. “Act like for-profit businesses, take those risks. You will be rewarded for that if you're more bold and you go after being unique in that space.”“With AI...you just have the ability to audit and look through mounds of information far better than you used to. Understanding who your audience is, what's working, what's not, that's really critical.”“If you don't know where your donors are coming from, you don't know where to put your money.”   - Javan Van Gronigen Reach out to Javan Van Gronigen at:Website: http://www.donately.com/LinkedIn: https://www.linkedin.com/in/javanvangronigen/Facebook: https://www.facebook.com/wearedonatelyInstagram: https://www.instagram.com/donately_org/X: https://x.com/donately   Let's Work Together to Amplify Your Leadership + Influence1. Group Coaching for Nonprofit LeadersWant to lead with more clarity, confidence, and influence? My group coaching program is designed for nonprofit leaders who are ready to communicate more powerfully, navigate challenges with ease, and move their organizations forward. 2. Team Coaching + TrainingI work hands-on with nonprofit teams to strengthen leadership, improve communication, and align around a shared vision. Whether you're growing fast or feeling stuck, we'll create more clarity, collaboration, and momentum—together. 3. Board Retreats + TrainingsYour board has big potential. I'll help you unlock it. My engaging, no-fluff retreats and trainings are built to energize your board, refocus on what matters, and generate real results.Get your free starter kit today at www.theinfluentialnonprofit.comConnect with Maryanne about her coaching programs:https://www.courageouscommunication.com/connect Book Maryanne to speak at your conference:https://www.courageouscommunication.com/nonprofit-keynote-speaker

Marketing doesn't have to be complicated, expensive, or exhausting. Thanks to today's tools, even a solopreneur can build consistent visibility, grow an audience, and connect withclients—all without a big team or big budget.In this episode of Divas, Diamonds & Dollars, we're tackling one of the most overwhelming areas for multipreneurs: marketing. Too often, business owners burn themselves out trying to “do all the things,” when the real key is consistency, visibility, and connection. Technology makes that possible—without draining your wallet or your energy.Consistency Rules: The truth is, showing up regularly isoften harder than the actual marketing work. Solopreneurs especially struggle to keep up. But consistency doesn't have to mean “more.” It's about showing up smarter. That's where scheduling, automation, and repurposing come in. Tools like Later, Buffer, or Hootsuite can automate your posts, while email platforms like Mailchimp or ConvertKit keep you connected with your audience. And one piece of content can become many—a blog becomes a newsletter, a LinkedIn post, even a Reel.Visibility Without the Overwhelm: You don't have to be everywhere, all the time. Instead, focus on becoming “a little bit famous” in your area of expertise. Branding tools like Canva Pro make it easy to stay on brand across platforms. Video editing apps like OpusClips, CapCut, or InShot help youtransform long-form content into short, high-impact clips. And with SEO helpers like Ubersuggest or Keywords Everywhere, you can ensure your posts and blogs are optimized with the words your audience is actually searching for.From Interest to Connection: Ultimately, marketing isn't just about being seen—it's about building relationships that last. That's where community-building tools come in. Use landing page builders like ConvertKit, Leadpages, or Carrd to capture leads. Explore CRMs like HubSpot or Zoho to nurture those leads with email follow-up and automations. And don't forget to measure your impact—analytics tools like Google Analytics or IG Insights help you double down on what's actually working.Summary: Marketing is only as complicated as we make it. Focus on three goals: consistency, visibility, and connection. Choose tools that simplify your process, amplify your voice, and help you build authentic relationships. You don't need a 10-person team—you just need the right tools, used well.Your Action Item: This week, choose one area of your marketing—social posts, email, or community-building—and test one tech tool that can simplify it. Track the results, refine your process, and celebrate the extra time you buy back.

I retried Podman to replace a production service and did not wanted to re-installed Docker, mainly for security reasons. The fact that podman runs containers on the user-level and completely isolated from the system is a great alternative to the Docker deamon.I'm trying something new for this episode, I'll try and get audio clips from people to add more dynamism to the episodes, if you can join the Slack channel and also I've started a Patreon if you want to chip in and help me keep the mic on.Links:My new course Zero to Gopher (50% off for listeners)Blog post to view commands and the back storyBuild SaaS apps in GoBuild a Google Analytics in GoPlease talk about the podcast, share the episode, join the slack channel. Purchasing my courses and Patron are great way to monetary support the show.

Are you struggling to make sense of your marketing data? GA4 could be the cause, but it doesn't have to be this difficult. In this episode of Sharkpreneur, Seth Greene interviews Joshua Lauer, Founder of Lauer Creations Inc., who shares his journey from musician to data guru and explains how he helps businesses simplify their data for more effective marketing. With a focus on fixing common GA4 headaches, Joshua reveals the steps every business should take to ensure their data is driving the right insights. Whether you're a seasoned marketer or just starting, this episode is packed with actionable tips for overcoming the complexities of Google Analytics and making your data work for you. Key Takeaways: → What is GA4, and why is it so different from its predecessor, Universal Analytics? → Common mistakes businesses make when setting up Google Analytics. → How to identify the real goal of your website and ensure your data aligns with it. → The key reports that every business should automate for better decision-making. → The step-by-step process for fixing GA4 setup issues and ensuring accurate reporting. Joshua Lauer is a seasoned marketing intelligence professional and the founder of Lauer Creations Inc., where he's helped over 100 businesses turn marketing confusion into data-driven clarity. With over 12 years of experience, he specializes in GA4 troubleshooting, digital analytics, and building strategic data warehouses for $20M+ revenue companies. In just two years, he's generated over $500K in consulting revenue by helping brands shift from scattered reporting to actionable insights. Joshua is known for making complex data simple—translating technical noise into powerful growth strategies. Connect With Joshua Lauer: LinkedIn https://www.linkedin.com/in/lauerjoshua/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Google is everywhere in our lives. It's reach into our data extends just as far.After investigating how much data Facebook had collected about him in his nearly 20 years with the platform, Lock and Code host David Ruiz had similar questions about the other Big Tech platforms in his life, and this time, he turned his attention to Google.Google dominates much of the modern web. It has a search engine that handles billions of requests a day. Its tracking and metrics service, Google Analytics, is embedded into reportedly 10s of millions of websites. Its Maps feature not only serves up directions around the world, it also tracks traffic patterns across countless streets, highways, and more. Its online services for email (Gmail), cloud storage (Google Drive), and office software (Google Docs, Sheets, and Slides) are household names. And it also runs the most popular web browser in the world, Google Chrome, and the most popular operating system in the world, Android.Today, on the Lock and Code podcast, Ruiz explains how he requested his data from Google and what he learned not only about the company, but about himself, in the process. That includes the 142,729 items in his Gmail inbox right now, along with the 8,079 searches he made, 3,050 related websites he visited, and 4,610 YouTube videos he watched in just the past 18 months. It also includes his late-night searches for worrying medical symptoms, his movements across the US as his IP address was recorded when logging into Google Maps, his emails, his photos, his notes, his old freelance work as a journalist, his outdated cover letters when he was unemployed, his teenage-year Google Chrome bookmarks, his flight and hotel searches, and even the searches he made within his own Gmail inbox and his Google Drive.After digging into the data for long enough, Ruiz came to a frightening conclusion: Google knows whatever the hell it wants about him, it just has to look.But Ruiz wasn't happy to let the company's access continue. So he has a plan.”I am taking steps to change that [access] so that the next time I ask, “What does Google know about me?” I can hopefully answer: A little bit less.”Tune in today.You can also find us on Apple Podcasts, Spotify, and whatever preferred podcast platform you use.For all our cybersecurity coverage, visit Malwarebytes Labs at malwarebytes.com/blog.Show notes and credits:Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 Licensehttp://creativecommons.org/licenses/by/4.0/Outro Music: “Good God” by Wowa (unminus.com)Listen up—Malwarebytes doesn't just talk cybersecurity, we provide it.Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes Premium for Lock and Code listeners.

Hate refreshing your Amazon rank only to feel stuck? We walk through a saner, smarter way to measure progress—one that puts you back in control of your author career. Instead of chasing daily sales blips, we focus on the data you can influence: podcast bookings, media hits, website traffic spikes, newsletter clicks, and the kind of social engagement that signals real interest. Along the way, we share how to build a simple marketing journal that captures what you did, when you did it, and what happened next, so you can repeat what works and ditch what doesn't.We also get honest about the myths that drain energy. Amazon rankings are noisy; follower counts can be hollow; daily review checks erode morale. The better path is tracking visibility and engagement that compounds: comments and shares over likes, replies and click‑throughs over opens alone, and local wins that build trust fast. We dive into practical ways to use Google Analytics to spot post‑placement traffic, test subject lines that drive action, and turn lead magnets and bonus content into measurable signals. Plus, Goodreads strategies and why targeted communities often outperform broad blasts.If you've ever asked, “Am I doing the right things?” this conversation offers a roadmap. Sales will come—on their schedule—not because of one big splash, but because your visibility stacked up over time. Want to shape future topics or get tailored advice? Text the word podcast to 888-402-8940 to subscribe and send your questions. If this helped, follow the show, share it with an author friend, and leave an honest review—we're pushing for 100 and cheering you on.Send us your feedback!

In this episode, Martha Dorris sits down with Marina Fox, former lead of GSA's Digital Analytics Program (DAP) and one of the 2025 Service to the Citizen® Award winners, to explore how data and persistence transformed how government understands, and improves, digital services.From her early career in data analytics to launching analytics.usa.gov, Marina shares how she built one of the most impactful digital initiatives in government, helping agencies use real-time data to design faster, simpler, and more transparent online experiences.Highlights from the episode:Building the foundation: How DAP unified fragmented web analytics and gave agencies consistent, actionable insights for the first time.Scaling impact: With limited resources, Marina's team brought Google Analytics to 6,000 federal websites, creating the largest GA account in the world.Driving transparency: The launch of analytics.usa.gov gave the public access to real-time government web traffic, turning data into a model for open government.Insights that matter: From USPS tracking to NASA's data portals, DAP revealed what citizens value most and helped agencies prioritize improvements.A new chapter: As Director of Digital Solutions at TechSur Solutions, Marina continues helping agencies harness data, AI, and cloud to deliver better digital experiences.Why it matters:Marina's story is a masterclass in leading digital transformation through collaboration, community-building, and data-driven design. Her work reminds us that when government embraces analytics, it doesn't just measure success, it creates it.Thank you for listening to this episode of The CX Tipping Point Podcast! If you enjoyed it, please consider subscribing, rating, and leaving a review on your favorite podcast platform. Your support helps us reach more listeners! Stay Connected: Follow us on social media: LinkedIn: @DorrisConsultingInternational Twitter: @DorrisConsultng Facebook: @DCInternational Resources Mentioned: Citizen Services Newsletter 2024 Service to the Citizen Awards Nomination Form

Welcome to another episode of MOJO: The Meaning of Life and Business! In today's conversation, host Jennifer Glass dives into the fast-evolving world of marketing with special guest Jeff Greenfield, an entrepreneur, advisor, and disruptor with over three decades of experience in strategy, growth, and marketing leadership. As the co-founder and CEO of Provalytics, Jeff is at the forefront of AI-driven, cookie-less attribution and measurement solutions. Together, Jennifer and Jeff unpack the challenges marketers and small business owners face as privacy changes, like Apple's iOS updates, disrupt traditional tracking and analytics.Tune in to learn why it's so difficult to know which half of your marketing budget is truly working, how the fundamentals of measuring marketing success haven't changed as much as you think, and what practical steps you can take—no matter your business size—to make smarter decisions about where to invest your marketing dollars. Whether you're just starting out or looking to get more from your existing campaigns, this episode is packed with real-world advice on tracking impressions, understanding the pitfalls of relying solely on clicks, and building marketing strategies that stand the test of time. Get ready to take notes and gain fresh insights into the ever-changing world of business marketing!About my guest: Jeff Greenfield is an entrepreneur, advisor, and disrupter with three decades of strategy, growth and marketing leadership. Jeff is currently building the next generation of AI-Driven Attribution as the co-founder and CEO of Provalytics which is a 'cookie-less' attribution & measurement solution which enables marketers to prove the impact from upper funnel channels like CTV and grow their budgets.Connect with Jeff on Facebook, LinkedIn, and on the web at https://provalytics.comKeywords: marketing attribution, cookie-less measurement, third-party cookies, data privacy, Google Analytics, marketing fundamentals, digital advertising, media impressions, ad tracking, conversion tracking, marketing data analysis, marketing ROI, upper funnel channels, CTV advertising, small business marketing, AI-driven attribution, offline marketing, marketing budget, marketing metrics, cost per click, cost per lead, cost per sale, Facebook advertising, Instagram advertising, Meta ads, Google ads, impression tracking, customer journey, marketing measurement tools, advertising effectiveness, marketing strategy

Want help building a brand strategy that keeps clients coming back? Work with Deirdre to craft your uncopyable brand, offers, messaging, and experiences that make your growth inevitable.—--How to Use Google Analytics to Find Your Best Clients with Matt LubaroffGoogle Analytics can feel like walking into a data jungle with no map.But what if it could show you exactly who your best clients are, where they're coming from, and how to get more of them?In this episode of The Master Your Business Podcast, I sit down with marketing strategist and analytics pro Matt Lubaroff to demystify the numbers. We talk about how service providers (yes, even the non-techie ones) can use free tools to track what's working in their marketing and stop wasting energy on what's not.Whether you're a coach, consultant, or creative service business aiming to grow to six or seven figures, this is a must-listen. Because smart marketing doesn't start with a guess, it starts with the data.We cover:✔️ What marketing metrics actually matter (and which to ignore)✔️ The easiest way to track which channels bring in real clients✔️ Why “more traffic” isn't always better traffic✔️ How to plug the holes in a leaky marketing funnel✔️ The one Google Analytics number Matt checks above all else✔️ How to make peace with the platform, even if you're “not a numbers person”✔️ Tools that make Google data easier to read, even if dashboards make your brain melt

Today, the legal profession is undergoing a fundamental transformation as artificial intelligence (AI) accelerates workflows and redefines practice. Specialized tools, such as those within Westlaw Advantage, are streamlining legal research and accelerating litigation strategy grounded in trusted content, positioning AI as a mandatory tool for modern legal departments. This rapid adoption, however, is generating profound ethical and legal crises; attorneys face severe reprimands for citing cases that generative AI models have fabricated or "hallucinated". Moreover, the technology itself exhibits fundamental limitations in complex hierarchical legal reasoning, achieving low accuracy rates on integrated analysis tasks. This friction extends to intellectual property, where tech giants are confronting lawsuits over using copyrighted news and music to train large language models (LLMs), raising pivotal questions about fair use globally. While law firms must adapt client acquisition methods to new AI platforms like ChatGPT and embrace human-centered Design Thinking for integration, they simultaneously face a patchwork of state regulations, criticized as a "regulatory frenzy" by some, and strict new privacy mandates, such as California's Opt Me Out Act, underscoring that success depends on moving beyond simple experimentation to robust, trustworthy integration.Law firms need to be thinking about ChatGPT2025-10-13 | JD SupraLegal Technology Career?2025-10-13 | The Student RoomMaryland judges rebuke attorney over AI-generated citations: ‘A serious problem'2025-10-13 | The Baltimore BannerSpeed up litigation prep by using AI for legal research2025-10-13 | Legal.ThomsonReuters.comRead the article : Stanford Lawyer Magazine | A Passion for Data, a Vision for Law2025-10-13 | Stanford Law SchoolAI Czar Sacks Says State Laws Will Create ‘Woke AI' Patchwork – MeriTalk2025-10-13 | EUROPE SAYSBluesky enforces age checks in Ohio under new law; many adult sites don't comply2025-10-13 | Fox8AI in Practice: Using Design Thinking to build a culture of innovation for the AI era - Thomson Reuters Institute2025-10-13 | Thomson ReutersRegulators Probe Tech Giant After Media Firms Allege AI Copyright Violations2025-10-13 | ParameterHaving been accused of stream-ripping by the majors, Suno and Udio intervene in high profile stream-ripper case2025-10-13 | Complete Music UpdateDeepfake America: Navigating the New Legal Minefield of AI Illusions2025-10-13 | Lawyer Monthly5 Key Takeaways | Issues Concerning AI that Legal Professionals Need to Know2025-10-13 | JD SupraThe first AI 'law firm' in the UK2025-10-13 | Mark CarriganHow to Track AI Search Traffic in Google Analytics 4: A Step-by-Step Guide for Law Firms2025-10-13 | JD SupraÉcija: AI, external capital and expansion in Latin America2025-10-13 | EUROPE SAYSThinking Longer, Not Always Smarter: Evaluating LLM Capabilities in Hierarchical Legal Reasoning2025-10-13 | arXiv.org30 Years In Legal Tech Competition – Vote for your winner here!2025-10-13 | Legal IT InsiderTechnical Measures for GDPR Compliance: What Exactly Needs to Be Done?2025-10-13 | Legal IT groupVis-a-Vis and London Law Expo – The highlights and insights2025-10-13 | Legal IT InsiderThe AI Culture Clash: AI Integration Lags Behind the Hype2025-10-13 | Artificial LawyerNew USPTO Director Immediately Wades into the 101 Subject Matter Eligibility Mess2025-10-13 | Dinsmore & ShohlThe California Opt Me Out Act: What it Means for Businesses Subject to the California Consumer Privacy Act2025-10-13 | Clark HillFederal Judge Tosses Drake's Defamation Lawsuit Against Universal Over Kendrick Lamar Diss Track2025-10-11 | Black EnterpriseBigLaw Firms Turn to Law Students for Recruiting: A New Era in Legal Talent Outreach2025-10-11 | JDJournalYour 2025 Legal Resume Refresh Guide2025-10-11 | JDJournal

AI nie jest już „nowym trendem”. To zmiana, która właśnie trwa - a większość firm wciąż nawet nie wie, że już je dotknęła.W tym odcinku rozmawiam z Marcinem Kamińskim, który jako jeden z pierwszych w Polsce mówi o ruchu agentowym - nowym źródle odwiedzin w e-Commerce, którego… nie widzisz w Google Analytics.Mówimy o tym:➡️ jak AI i ChatGPT zmieniają sposób wyszukiwania i zakupów online,➡️ dlaczego Twoją stronę coraz częściej odwiedzają boty, a nie ludzie,➡️ jak przygotować się na zakupy bezpośrednio z ChatGPT,➡️ i czemu przyszłość e-commerce to nie SEO, tylko SEO dla agentów AI.To rozmowa o tym, co wydarzy się szybciej, niż myślisz – i dlaczego teraz jest moment, żeby się przygotować.

GEO vs SEO : Le guide complet Dans ce 135 ème épisode, je vous partage mes recherches sur le GEO. L'intelligence artificielle générative transforme la façon dont les utilisateurs recherchent et consomment l'information en ligne. Alors que le SEO (Search Engine Optimization) reste essentiel pour la visibilité sur Google, une nouvelle discipline émerge : le GEO ou Generative Engine Optimization.Avec l'adoption massive de ChatGPT, Claude, Gemini et Perplexity, les entreprises doivent repenser leur stratégie de visibilité digitale. Cet article explore en profondeur ce qu'est le GEO, ses différences avec le SEO, et comment mesurer efficacement vos performances tout en maintenant une approche éthique.Qu'est-ce que le GEO (Generative Engine Optimization) ?Définition du GEOLe GEO (Generative Engine Optimization) désigne l'ensemble des techniques visant à optimiser la visibilité et la présence d'une marque, d'un produit ou d'un contenu dans les réponses générées par les modèles de langage et les moteurs de recherche génératifs.Contrairement aux moteurs de recherche traditionnels qui affichent une liste de liens, les moteurs génératifs synthétisent l'information et fournissent des réponses directes, structurées et conversationnelles.L'émergence des moteurs génératifsLes principaux acteurs du marché incluent :ChatGPT (OpenAI) avec ses fonctionnalités de recherche webClaude (Anthropic) et ses capacités d'analyse approfondieGemini (Google) intégré progressivement à l'écosystème GooglePerplexity AI spécialisé dans la recherche conversationnelleBing Chat (Microsoft) propulsé par GPT-4Ces plateformes représentent des millions de requêtes quotidiennes, créant un nouveau canal de visibilité que les entreprises ne peuvent ignorer.GEO vs SEO : Les différences Le SEO : Une logique de destinationEn SEO traditionnel, l'objectif est clair : apparaître dans les premiers résultats de Google pour générer du trafic vers votre site web. Les utilisateurs cliquent sur votre lien et arrivent sur votre propriété digitale.Les piliers du SEO classique :Optimisation technique (vitesse, mobile-friendly, structure)Contenu de qualité ciblant des mots-clésNetlinking et autorité de domaineExpérience utilisateur (UX)Le GEO : Une logique de présenceLe GEO fonctionne différemment. Votre contenu peut être paraphrasé, synthétisé ou cité par une IA sans que l'utilisateur ne visite jamais votre site.Les piliers du GEO :Autorité informationnelle et expertise démontréeContenu structuré et facilement interprétablePrésence sur des sources d'autorité citées par les LLMCohérence et exactitude de l'informationFraîcheur et mise à jour régulière du contenuPourquoi les deux disciplines sont complémentairesLe GEO ne remplace pas le SEO, il le complète. Voici pourquoi :Google intègre l'IA : Les SGE (Search Generative Experience) combinent recherche classique et réponses générativesParcours utilisateur hybride : Les utilisateurs alternent entre recherche traditionnelle et requêtes conversationnellesSynergies techniques : Un bon contenu SEO est souvent bien positionné pour le GEOAutorité transversale : L'autorité construite en SEO bénéficie au GEO et vice-versaPourquoi le GEO est à étudier ?L'évolution des comportements de rechercheLes données récentes montrent une adoption massive des IA génératives :Des millions d'utilisateurs actifs mensuels sur ChatGPTUne croissance exponentielle des requêtes sur Perplexity AIL'intégration progressive de l'IA dans Google SearchLe nouveau parcours utilisateur :Question posée à une IA conversationnelleRéponse synthétisée avec quelques sources citéesDécision prise sans nécessairement visiter plusieurs sitesSi votre entreprise n'apparaît pas dans ces réponses, vous perdez en visibilité auprès d'une audience croissante.Les enjeux business du GEOPour la notoriété de marque :Être cité comme référence dans votre domaineConstruire une autorité perçue par des millions d'utilisateursInfluencer la perception de votre marque via les recommandations IAPour la génération de leads :Être recommandé dans les comparatifs de solutionsApparaître dans les listes de prestataires suggérésCapter l'attention avant même la phase de recherche activePour le e-commerce :Être mentionné dans les recommandations produitsInfluencer les décisions d'achat assistées par IAOptimiser la présence dans les requêtes "meilleurs produits pour..."Les risques de ne pas investir dans le GEOL'absence de stratégie GEO expose votre entreprise à plusieurs risques :Invisibilité générationnelle : La génération Z et les millennials adoptent massivement les IAPerte de parts de voix : Vos concurrents occupent l'espace que vous laissez vacantDésinformation : Sans contenu structuré, les IA peuvent véhiculer des informations erronées sur votre marqueObsolescence progressive : Le fossé se creuse entre leaders et retardatairesLes dérives potentielles à éviterComme toute nouvelle discipline marketing, le GEO peut donner lieu à des pratiques contestables :Le spam informationnel :Création massive de contenu de faible qualité uniquement pour être indexéMultiplication artificielle de sources citant votre marqueFermes de contenu déguiséesLa manipulation des sources :Création de faux sites d'autoritéFausses études ou statistiquesAstroturfing (faux avis, fausses communautés)L'exploitation de failles :Prompt injection pour forcer la mention de votre marqueGaming des algorithmes de citationManipulation des données d'entraînementLes principes d'un GEO responsable1. Authenticité avant toutCréez du contenu véritablement utile qui répond aux questions de votre audience. Les LLM sont entraînés à détecter la qualité et la pertinence. Un contenu authentique et expert sera naturellement mieux positionné.2. Transparence dans les relationsSi vous travaillez avec des partenaires, influenceurs ou plateformes pour améliorer votre visibilité GEO, soyez transparent sur ces collaborations. Les pratiques opaques finissent toujours par être exposées.3. Respect de l'utilisateur finalRappelez-vous que l'objectif des IA génératives est d'aider les utilisateurs à obtenir des informations de qualité. Votre optimisation doit servir cet objectif, pas le saboter avec de la désinformation ou du contenu trompeur.4. Qualité plutôt que quantitéIl vaut mieux être cité une fois de manière pertinente et dans un contexte positif que mentionné dix fois de façon inappropriée ou dans des comparaisons défavorables.5. Respect de la propriété intellectuelleLe GEO soulève des questions complexes de propriété intellectuelle. Assurez-vous que votre contenu respecte les droits d'auteur, et réfléchissez à la façon dont vous souhaitez que votre propre contenu soit utilisé par les IA.Le cadre légal émergentLa législation autour de l'IA évolue rapidement :AI Act européen : Régulation des systèmes d'IA et de leurs impactsLois sur le copyright : Débats sur l'utilisation des contenus pour l'entraînement des modèlesTransparence algorithmique : Obligations croissantes de disclosureUne approche éthique du GEO vous prépare aux évolutions réglementaires à venir et protège votre réputation à long terme.Comment mesurer les performances du GEO : KPIs et métriquesLe défi de la mesure en GEOContrairement au SEO où des outils établis existent (Google Search Console, Analytics, SEMrush, Ahrefs), le GEO présente un défi majeur : les LLM sont des boîtes noires.Vous ne pouvez pas facilement savoir :Combien de fois votre contenu a été utilisé dans les réponsesDans quels contextes vous êtes mentionnéQuelle est votre part de voix vs vos concurrentsQuelles requêtes génèrent des mentions de votre marqueTraquer les demandes sur les LLM 1. Les tests manuels systématiquesCréez un référentiel de 20 à 50 requêtes pertinentes pour votre activité et testez-les régulièrement sur différents LLM.Exemples de requêtes types :"Quels sont les meilleurs [type de produit] pour [cas d'usage] ?""Comment choisir un [votre catégorie de service] ?""Comparaison entre [votre marque] et [concurrent]""[Problème client] solutions"Fréquence recommandée : Mensuelle pour un suivi de tendance2. Les outils de Brand Mention Tracking pour IADe nouveaux outils émergent sur le marché :GEO-specific tools : Plateformes spécialisées dans le tracking des mentions dans les LLMAPI-based monitoring : Solutions utilisant les API des LLM pour tests automatisésCompetitive intelligence platforms : Outils comparant votre présence à celle de vos concurrents3. Études qualitatives utilisateursInterrogez votre audience :"Utilisez-vous des IA conversationnelles pour rechercher des informations ?""Avez-vous déjà obtenu des recommandations concernant notre secteur via une IA ?""Pouvez-vous partager des exemples de requêtes que vous posez aux IA ?"4. Analyse des tendances de rechercheMême sans accès direct aux données des LLM, vous pouvez :Analyser les questions posées sur les forums et réseaux sociauxSuivre les discussions sur Reddit, Quora concernant votre secteurMonitorer les hashtags et conversations mentionnant l'utilisation d'IALes KPIs du GEOKPIs de niveau 1 : PrésenceTaux de mention : Pourcentage de requêtes test où votre marque apparaîtObjectif initial : 20-30% sur vos requêtes coreObjectif mature : 50%+ sur vos requêtes prioritairesNombre de plateformes : Sur combien de LLM différents êtes-vous mentionné ?ChatGPT, Claude, Gemini, Perplexity, Bing ChatObjectif : Présence sur au moins 3 plateformes majeuresVolume de contenu indexable : Quantité de contenu de qualité publiéArticles de fond, études, livres blancs, recherchesObjectif : Publication régulière (au moins 4 contenus majeurs/mois)KPIs de niveau 2 : Qualité et contextePosition dans la réponse : Êtes-vous mentionné en premier, en milieu, en fin de réponse ?Premier tiers : ExcellentMilieu : BonDernier tiers : À améliorerContexte de mention :Positif (recommandation, expertise reconnue)Neutre (simple mention factuelle)Négatif (critique, comparaison défavorable)Objectif : 80%+ de mentions positives ou neutresPrécision des informations : Les informations données sur vous sont-elles exactes ?Scoring de 0 à 10 par requête testObjectif : Moyenne > 8/10Citations vs paraphrases : Êtes-vous cité comme source ou simplement paraphrasé ?Citation explicite avec mention : IdéalParaphrase sans attribution : À améliorerKPIs de niveau 3 : Impact businessBrand searches : Évolution des recherches de votre marque sur GoogleAugmentation = notoriété accrue potentiellement liée au GEOTracking via Google Trends et Search ConsoleTrafic qualifié : Visiteurs arrivant avec une connaissance préalable de votre offreTemps sur site plus élevéTaux de rebond plus faibleMeilleur taux de conversionQuestions clients : Analyse du service clientLes prospects mentionnent-ils avoir entendu parler de vous via une IA ?Questions reflétant les informations données par les LLMSocial listening : Mentions sur les réseaux sociauxDiscussions mentionnant votre marque ET une IAScreenshots de recommandations IA incluant votre marquePart de voix sectorielle : Comparaison avec vos concurrentsPourcentage de mentions vs vos 3-5 concurrents principauxObjectif : Leader ou top 3 de votre catégorieMéthodologie de mesure : Le framework en 3 étapesÉtape 1 : Établir votre baseline (1-2 mois)Définissez 30 requêtes test couvrant :Requêtes de marque (10)Requêtes catégorielles (10)Requêtes problème/solution (10)Testez sur 4-5 LLM principauxDocumentez :Taux de mention actuelContexte de mentionConcurrents citésQualité des informationsÉtape 2 : Optimisation et tracking (3-6 mois)Implémentez vos actions GEO :Publication de contenu optimiséAmélioration de la structure d'informationDéveloppement de l'autoritéTesting mensuel sur votre panel de requêtesAjustements basés sur les résultatsÉtape 3 : Analyse d'impact (à 6 mois)Corrélations avec les KPIs businessROI du GEO :Coût des actions GEO vs impact notoriétéValeur estimée de la présence dans les LLMComparaison avec autres canaux d'acquisitionOptimisation continueOutils recommandés pour mesurer le GEOPour les tests manuels :Tableur structuré avec historiqueScreenshots horodatés des réponsesGrille de scoring standardiséePour l'automatisation :Scripts utilisant les API des LLMOutils de monitoring émergents (à évaluer selon disponibilité)Plateformes de competitive intelligencePour l'analyse d'impact :Google Analytics 4 (segments personnalisés)Google Search Console (brand queries)Outils de social listening (Mention, Brandwatch)CRM pour tracking de la source de leadsLes limites éthiques de la mesureÉvitez le spam de requêtesInterroger massivement les LLM pour tester votre présence peut :Violer les conditions d'utilisation des plateformesGénérer des coûts importants (pour les API payantes)Être considéré comme un abus de serviceRecommandation : Limitez-vous à des tests raisonnables (30-50 requêtes/mois maximum par plateforme)Ne manipulez pas vos testsCertaines pratiques à éviter :Créer de faux signaux pour améliorer artificiellement vos métriquesUtiliser des techniques de prompt injection pour forcer votre mentionEntraîner localement des modèles biaisés pour gonfler vos scoresL'obsession des chiffresComme en SEO, focaliser uniquement sur les KPIs peut vous faire perdre de vue l'essentiel : créer de la valeur réelle pour vos utilisateurs.Un bon GEO résulte d'un excellent contenu et d'une expertise réelle, pas de manipulation de métriques.Des stratégies concrètes pour optimiser votre GEO1. Créez du contenu d'autoritéLes formats privilégiés :Études originales avec données propriétairesLivres blancs approfondisGuides complets (5000+ mots)Rapports annuels sectorielsCas d'usage détaillésPourquoi ça fonctionne : Les LLM privilégient les sources faisant autorité et offrant des informations approfondies et vérifiables.2. Structurez votre informationUtilisez un balisage sémantique fort :Schema.org markupHiérarchie claire (H1, H2, H3)Listes et tableaux structurésDéfinitions claires des conceptsPourquoi ça fonctionne : Les LLM comprennent mieux et citent plus facilement le contenu bien structuré.3. Développez votre présence sur les sources d'autoritéObjectif : Être mentionné sur les sites que les LLM considèrent comme fiables.Actions concrètes :Publications dans des médias sectoriels reconnusContributions à Wikipédia (si pertinent et factuel)Interviews et citations d'expertsPartenariats avec institutions académiquesPrésence dans des annuaires professionnels de qualité4. Optimisez pour la recherche conversationnellePensez questions-réponses :Identifiez les questions fréquentes de votre audienceCréez des FAQ détailléesRépondez de manière directe et complèteUtilisez un langage naturel, pas du jargon SEOExemple :❌ "Solutions CRM entreprises PME"✅ "Quel CRM choisir pour une PME de 50 salariés ?"5. Maintenez la cohérence de votre informationPrincipe de base : Les LLM valorisent les informations cohérentes à travers les sources.Actions :NAP consistency (Name, Address, Phone) sur toutes les plateformesDonnées produits identiques partoutMessages clés uniformesMise à jour régulière des informations obsolètes6. Encouragez les citations de qualitéStratégie de netlinking GEO :Créez du contenu tellement bon qu'il devient une référenceOffrez des données uniques que d'autres citerontDéveloppez des relations avec les créateurs de contenu d'autoritéParticipez à des podcasts, webinaires, conférencesIntégrer le GEO dans votre stratégie marketing GEO et Content MarketingLe content marketing devient le pilier central d'une stratégie GEO efficace.Alignement des objectifs :Content marketing : Créer de la valeur, éduquer, engagerGEO : Être la source d'information privilégiée des IASynergies naturelles :Le contenu de qualité sert les deux objectifsL'investissement en content marketing bénéficie directement au GEOLes insights GEO enrichissent votre stratégie de contenuGEO et SEO : La stratégie hybrideContenus gagnant-gagnant :Articles piliers (pillar content) : Excellent pour SEO et GEOÉtudes de cas détaillées : Génèrent des backlinks (SEO) et des citations (GEO)Glossaires et définitions : Bien référencés ET souvent cités par les IAWorkflow intégré :Recherche de mots-clés SEOIdentification des questions conversationnelles (GEO)Création de contenu répondant aux deux besoinsOptimisation technique SEOStructuration pour faciliter l'extraction par les LLMPromotion pour autorité (bénéfique aux deux)GEO et Réputation en ligneLe GEO devient un enjeu majeur de gestion de la réputation.Risques à gérer :Informations erronées propagées par les IAMentions négatives amplifiéesConcurrents mieux positionnés dans les recommandationsActions de protection :Monitoring actif de ce qui est dit sur vousCorrection proactive des informations erronéesPublication régulière de contenu à jourGestion de crise spécifique GEOCas d'usage par secteurE-commerce et RetailEnjeux :Apparaître dans les recommandations produitsÊtre cité dans les comparatifsStratégies spécifiques :Fiches produits ultra-détaillées avec specs complètesGuides d'achat par cas d'usageComparatifs honnêtes (oui, même avec vos concurrents)Reviews et témoignages structurésB2B et Services ProfessionnelsEnjeux :Établir l'autorité et l'expertiseÊtre recommandé comme solutionStratégies spécifiques :Thought leadership (articles d'experts)Études de cas chiffréesLivres blancs techniquesParticipation à des publications sectoriellesSanté et Bien-êtreEnjeux :Informations médicales correctes et responsablesConformité réglementaire stricteStratégies spécifiques :Contenu validé par des professionnels certifiésCitations de sources médicales reconnuesDisclaimers appropriésApproche ultra-éthique (enjeux de santé publique)Tourisme et HôtellerieEnjeux :Recommandations de destinations et établissementsInformations pratiques et à jourStratégies spécifiques :Guides détaillés de destinationsInformations pratiques constamment mises à jourExpériences client authentiquesPartenariats avec influenceurs voyageL'avenir du GEO L'intégration IA-Search continueGoogle SGE, Bing Chat et d'autres acteurs fusionnent recherche traditionnelle et génération de réponses. Le GEO et le SEO convergeront progressivement.Implication : Une stratégie unifiée devient nécessaire.La personnalisation des réponses IALes LLM apprendront des préférences individuelles et donneront des réponses de plus en plus personnalisées.Implication : Le GEO devra s'adapter à différents profils d'utilisateurs.La transparence des sourcesPression croissante pour que les IA révèlent leurs sources et leur raisonnement.Implication : Les marques avec contenu de qualité et traçabilité seront favorisées.L'émergence de standards GEOComme le SEO a ses guidelines (Google, Bing), des standards GEO émergeront.Implication : Early adopters bénéficieront d'un avantage compétitif.La régulation croissanteLégislations sur l'IA, le copyright, la transparence algorithmique se multiplieront.Implication : Les approches éthiques seront non seulement recommandées mais obligatoires.Conclusion Le GEO n'est pas une mode passagère, c'est une évolution structurelle de l'écosystème digital. Les entreprises qui investissent dès maintenant dans cette discipline construiront un avantage compétitif durable.Les principes clés à retenir :Complémentarité : Le GEO complète le SEO, il ne le remplace pasÉthique : Seules les approches responsables sont durablesQualité : L'expertise réelle prime sur l'optimisation techniqueMesure : Des métriques imparfaites valent mieux que l'absence de suiviAdaptation : Le GEO évoluera rapidement, restez agilesPar où commencer ?Auditez votre présence actuelle dans les LLM (30 requêtes test)Identifiez les gaps et opportunitésCréez du contenu d'autorité répondant aux questions de votre audienceStructurez votre information pour faciliter l'extraction par les IAMesurez régulièrement votre évolutionAjustez votre stratégie en fonction des résultatsLe GEO représente un nouveau terrain de jeu marketing où l'authenticité, l'expertise et la qualité sont récompensées. C'est une excellente nouvelle pour les marques qui ont véritablement quelque chose de valable à apporter à leur audience.L'avenir de la visibilité digitale se joue maintenant. Êtes-vous prêts ?Soutenez le podcast :✅ Abonnez-vous à DigitalFeeling sur LinkedIn✅ Rejoignez ma newsletter : substack.com/@elodiechenol✅ Laissez 5 ⭐ sur Apple Podcasts ou Spotify

#622 From military spouse to marketing maven, Selena Conmackie turned an unexpected opportunity into a thriving agency! In this episode, host Brien Gearin sits down with Selena, founder of Hauoli-Socially Inspired, to dive into the real-world journey of building a marketing agency from the ground up. Selena shares how she went from 20 years in the restaurant industry to running a successful business helping entrepreneurs create websites and marketing systems that actually work together. From “falling into” marketing as a military spouse to scaling with referrals, testing ads, and managing clients across industries, she reveals the tools, lessons, and mindset shifts that made it all possible! What we discuss with Selena: + Transition from restaurants to marketing + Accidental start in social media management + Building a business as a military spouse + Learning through “YouTube University” and Facebook groups + First clients from referrals and networking + Scaling with websites, ads, and analytics + Balancing a small, family-based remote team + Importance of Google Analytics and data + Differences between Google vs. Facebook ads + Honest client relationships and sustainable growth Thank you, Selena! Check out Hauoli-Socially Inspired at TheHauoli.com. Follow Selena on Instagram and LinkedIn. To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. And follow us on: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tik Tok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Want to hear from more incredible entrepreneurs? Check out all of our interviews ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Learn more about your ad choices. Visit megaphone.fm/adchoices

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In the episode, we sat down with ClickHouse Co-Founder Yury Izrailevsky to unpack how one of the fastest open-source databases in the world became the analytics engine of choice for 2,000 customers including Harvey, Canva, HP, and Supabase. From its Yandex origins to powering AI observability, Yury shares how ClickHouse balances open-source roots, cloud innovation, and a remote-first culture moving at breakneck speed.ClickHouse's Series C valued the company at $6.35B earlier this year, and just yesterday they announced an extension to that round, just months after it was raised. In this episode, we dig into:Origins & Founding StoryClickHouse began as an internal project at Yandex to power a Google Analytics–style platform, focused on performance and scale.Open-sourced in 2016 - rapid global adoption laid the foundation for ClickHouse the company. Yury first discovered ClickHouse while at Google; impressed by its speed, he later co-founded the company in 2021 alongside Aaron Katz (ex-Elastic) and the original creator Alexey Milovidov.Why ClickHouse Stands OutColumn-oriented, open source OLAP database designed for massive-scale analytical processing.Excels in performance, efficiency, and cost - ideal for large data volumes and real-time analytics (and now AI workloads). Architectural choices:Columnar storage = better compression and faster execution.Separation of compute and storage enables elasticity, scalability, and resilience in the cloud.Open Source vs. CloudOpen-source version offers freedom and flexibility.Cloud product delivers much lower total cost of ownership and fully managed experience.Architectural parity between the two ensuring no vendor lock-in for customers. Customers can run the same queries on both; most stay with cloud due to simplicity and cost efficiency.Use Cases & Ecosystem4 main use cases:Real-time analyticsData WarehousingObservability AI / ML WorkloadsCompany Building & CultureFully remote from day one.Prioritized experienced, self-sufficient engineers over early-career hires.Built and launched GA version in less than a year - insane pace of innovation.Innovation & CommunityMonthly release cadence.Hundreds of integrations and connectors.Strong open-source and commercial communityAdvice for FoundersFocus on what matters most Hire mature, independent thinkers.Move fast but maintain quality; ClickHouse Cloud achieved production-grade quality in record time.

In this episode of Grow a Small Business, host Troy Trewin interviews Paige Wiese, founder of Tree Ring Digital, shares her journey from freelancing after the GFC to building a 16-person digital marketing team. She reveals how the company doubled during COVID, overcame recent dips, and stayed resilient through challenges. Paige explains the importance of prioritization, transparency, and smart financial management in scaling a business. She highlights why being industry-agnostic has given Tree Ring Digital a competitive edge. Her story is a blend of perseverance, adaptability, and strategic growth every small business owner can learn from. Why would you wait any longer to start living the lifestyle you signed up for? Balance your health, wealth, relationships and business growth. And focus your time and energy and make the most of this year. Let's get into it by clicking here. Troy delves into our guest's startup journey, their perception of success, industry reconsideration, and the pivotal stress point during business expansion. They discuss the joys of small business growth, vital entrepreneurial habits, and strategies for team building, encompassing wins, blunders, and invaluable advice. And a snapshot of the final five Grow A Small Business Questions: What do you think is the hardest thing in growing a small business? Paige Wiese said the hardest thing in growing a small business is having the confidence and resilience to stick with it through the ups and downs. She emphasized that challenges and setbacks are inevitable, but staying committed and pushing forward makes all the difference. What's your favorite business book that has helped you the most? Paige Wiese shared that one of her favorite business books is “Do Less”, which helped her understand the importance of not saying yes to everything and focusing on what truly matters by getting unnecessary tasks off her plate. Are there any great podcasts or online learning resources you'd recommend to help grow a small business? Paige Wiese emphasizes learning through mentors, self-teaching, and real conversations over traditional study. She's been featured on Mission Matters (digital asset control), Building the Business (slowing down to speed up growth), and Grow My Accounting Practice (scaling with marketing). Paige highlights the value of extracting small, actionable insights from books, podcasts, and networking. She also recommends shows like Masters of Scale for growth strategies and Manager Tools for leadership and team development. What tool or resource would you recommend to grow a small business? Paige Wiese recommends using practical tools and systems to support business growth, starting with digital asset management to secure domains, websites, and brand accounts. She highlights the value of QuickBooks for financial tracking and project management tools like Asana or Trello to streamline workflows. To grow smarter, she suggests leveraging Google Analytics and Search Console for data-driven decisions, while also emphasizing the importance of continuous learning, mentorship, and checklists to stay resilient and adaptable. What advice would you give yourself on day one of starting out in business? Paige Wiese said the advice she would give herself on day one of starting out is: “You can do it. It's going to come with some challenges, but you've got this.” Book a 20-minute Growth Chat with Troy Trewin to see if you qualify for our upcoming course. Don't miss out on this opportunity to take your small business to new heights! Enjoyed the podcast? Please leave a review on iTunes or your preferred platform. Your feedback helps more small business owners discover our podcast and embark on their business growth journey.     Quotable quotes from our special Grow A Small Business podcast guest: Prioritization is the key to delivering real value, not just checking off tasks – Paige Wiese Know your numbers—without metrics, you can't measure true growth – Paige Wiese Success is producing quality work while building long-term relationships – Paige Wiese  

In dieser Themenfolge spricht Heiko Gossen mit Philipp Roth (Ignite Video) über datenschutzfreundliche Alternativen zu bekannten Website-Tools – diesmal mit Fokus auf Analytics, Tracking und Schriftarten. Nach Teil 1 (Video-Hosting, Formulare & Karten) geht es in Teil 2 um folgende Fragen: Warum können dynamisch geladene Google Fonts ein Datenschutzrisiko darstellen – und wie funktioniert lokales Hosting als einfacher „Quick Win“? Welche Alternativen gibt es zu extern eingebundenen Formularen von CRM-Systemen wie HubSpot oder Salesforce? Wie lässt sich Web-Analytics ohne Google oder Adobe betreiben – etwa mit Plausible, Simple Analytics oder Matomo? Wo liegen die Grenzen consentfreier Tracking-Lösungen – insbesondere bei Pixel-Tracking von Meta, Google Ads oder LinkedIn-Kampagnen? Philipp Roth erklärt, wie Unternehmen mit überschaubarem Aufwand eine messbare, aber DSGVO-konforme Webanalyse umsetzen können – und warum viele Marketing-Teams unnötig viele Daten sammeln, ohne sie wirklich auszuwerten. Die Folge zeigt praxisnah, - wie man Cookies und Banner reduziert, - wie sich Kampagnen trotzdem manuell optimieren lassen, - und wo Einwilligungen technisch unvermeidbar bleiben. Ein Muss für alle, die ihre Website tracking-reduziert, userfreundlich und rechtssicher betreiben wollen. Themen im Überblick - Datenschutzprobleme bei Google Fonts und einfache lokale Alternativen - Formulare datenschutzfreundlich hosten statt extern einbetten - Strategischer Umgang mit Web-Analytics: was wirklich gemessen werden sollte - Consentfreie Analyse-Tools: Plausible, Simple Analytics, Matomo - Grenzen von Proxy-Lösungen bei Google Analytics - Tracking-Pixel und Kampagnen-Optimierung ohne Einwilligung – geht das? - Praktische Tipps für Quick Wins und rechtssichere UX Linkliste zu den erwähnten Tools & Diensten: - Simple Analytics (datenschutzfreundliche Tracking) – https://www.simpleanalytics.com/de - Plausible (datenschutzfreundliche Tracking) – https://plausible.io/ - Matomo (selbst hostbare Webanalyse) – https://matomo.org Die Folge gibt es als Video hier: https://www.youtube.com/watch?v=xtnUtKvonhw Teil 1 findet ihr hier: https://youtu.be/HsLn3x78mCk Weitere Informationen, Blog und Newsletter finden Sie unter: https://migosens.de/newsroom/ Twitter: https://x.com/DS_Talk Übersicht aller Themenfolgen: https://migosens.de/datenschutz-podcast-themenfolgen/ (als eigener Feed: https://migosens.de/show/tf/feed/ddt/) Instagram: https://www.instagram.com/datenschutztalk_podcast/ Folge hier kommentieren: https://migosens.de/datenschutzfreundliche-webseitentools-teil-2-philipp-roth-im-datenschutz-talk-podcast/ #TeamDatenschutz #Podcast #Datenschutz #Online-Tools #Cookie-Banner #Nutzererfahrung #DSGVO #Formulare #GoogleAnalytics #AdobeAnalytics #alternativenews 00:00:15.126 Intro & Begrüßung, Rückblick auf Teil 1 00:01:13.466 Themenüberblick: Schriftarten, Tracking & Analytics 00:03:22.360 Lizenzen & Besonderheiten: Google vs. Adobe Fonts 00:05:02.063 Formulare auf Webseiten 00:07:04.093 Tracking-Risiken durch Formular-Embeds 00:09:02.326 Datensparsamkeit: Pflichtfelder & Anrede (EuGH/Franz. Bahn) 00:09:56.406 Messen & Analytics – Unternehmensbedarf klären 00:12:56.865 Alternativen zu Google/Adobe Analytics 00:15:50.794 Praxis: Zwei-Gleis-Strategie (Großlösung + schlankes Tool) 00:18:55.765 Google Analytics via Proxy: Einordnung & Aufwand 00:20:04.865 Google Ads: Conversion-Messung ohne GA? 00:21:43.405 Eigene Events & First-Party-Tracking (z.B. Video-/Formular-Events) 00:23:47.058 Kampagnenbezug & Datenrückfluss 00:25:51.853 Grenzen & Performance-Einbußen ohne Pixel 00:30:41.986 Werbealgorithmen & KI – warum Rückkanal zählt 00:31:08.666 Fazit: Einwilligung teils unvermeidbar, Banner reduzieren wo möglich 00:32:06.119 Call for Feedback an die Hörerschaft 00:32:48.379 Verabschiedung

Not everything that drives growth shows up in Google Analytics. IIn this week's episode of Growth Talks, Matt Bahr, Co-Founder of Fairing, joins host Krystina Rubino how survey data is reshaping attribution, helping brands uncover what truly influences customer decisions in today's complex media landscape. Drawing on 15 years of experience from leading global e-commerce at Master & Dynamic to building Fairing, Matt shares why PR might matter more in an AI-driven world, how post-purchase surveys complement ad pixels, and the key strategies marketers need to move beyond the last click.  Find out how Fairing is helping leading brands turn real-time insights into smarter strategies and long-term growth.

Send us a textStop chasing vanity metrics for your branded podcast. In this episode of Clipped, I break down three key KPIs that actually show if your branded content is working: lead quality, engagement, and trust. Forget empty downloads and likes—this is about tracking what really drives business impact.Sponsor Alert:Try Riverside.fm's new Multi-Track Editor — get 20% off any individual plan with code CLIPPED at riverside.fmHere's what you'll learn in this episode:Lead Quality — How to track if the right prospects are reaching out after listeningEngagement — Metrics beyond downloads: listen-through rates, comments, shares, reviewsTrust — Why branded podcasts build credibility and humanize your companyTools and tactics: Google Analytics, tracking pixels, Apple Podcast Connect, surveys, and testimonialsHow to shift focus from “vanity” stats to meaningful signals of growthWhether you're running a podcast for a law firm, SaaS brand, or consumer product, these three KPIs give you a clear framework to measure success and make sure your show is creating real value.The Podcast Haven Resources:Follow me on YouTube: @podcasthaven - The page is growing!More tips, tools, and resources: The Podcast HavenPlan, Name, and Equip Your Show — All in One Place

In this episode of The Devin and Shay Show, Shay interviews Pinterest and SEO consultant Julia Bocchese about how photographers can use Pinterest to consistently generate inquiries. Julia shares why Pinterest should be treated like a search engine, the importance of keyword-rich pins and optimized boards, and how to use Pinterest Trends and Google Analytics for content planning. She also dives into website best practices to make sure Pinterest traffic actually converts, and when it makes sense to hire out Pinterest management. This episode is packed with actionable strategies for photographers who want leads without relying on Instagram.SHOWNOTES: https://www.devinandshay.com/blog/why-pinterest-still-works-for-photographers-and-how-to-fix-yoursPhotographers—you're sitting on a goldmine you haven't tapped yet. Adding simple video upsells to your packages can completely change your income without booking a single extra client. That's why we put together the Video Upsell Starter Kit—a free resource that walks you through the exact steps to start offering video, book it confidently, and deliver it in a way that feels aligned with your photography style.Grab your free starter kit here → devinandshay.com/starter-kit We're now accepting waitlist signups for our ultra-intimate, in-person events—think just 3 to 5 fellow creatives, an elevated styled-shoot day, retreat-style connection, super personalized business coaching, and mastermind-level collaboration—all wrapped in a stunning location with next-level details. These spots are seriously limited.Join the waitlist now at: devinandshay.com/in-person-eventsThanks for listening to the Hey, Thriver Podcast!! Don't forget to rate and review on your fave podcast platform -- it helps us get amazing guests and climb in the charts!

In this episode, I walk you through four proven strategies that have significantly increased my passive income WITHOUT doing "more" things. These simple tweaks help you earn more from the traffic and audience you already have!

Meet Rob Hoffmann, the founder of the AI SEO LLM marketing tool "Mentions." Our conversation focuses on the evolving landscape of search engine optimization (SEO) due to the rise of Large Language Models (LLMs) like ChatGPT, Claude, Grok, DeepSeek, and Perplexity etc,, which are becoming alternatives to traditional Google search. Rob Hoffmann discusses his journey into entrepreneurship, which started with an SEO agency called Contact, and how the need to track and improve brand visibility on these new AI platforms led to the creation of Mentions, which helps brands appear in LLM recommendations.Throughout our interview, Rob Hoffmann emphasizes the importance of reverse engineering consumer behavior, the need for excellent customer service (even providing his direct phone number to customers), and the affordability of mentions compared to competitors. Our discussion concludes with practical advice for businesses on determining if investing in LLM visibility is worthwhile based on their customer's buying journey.FAQs1. What is Mentions, and why was it founded?Mentions is a tool that assists brands and SEO agencies in navigating the evolving search landscape dominated by Artificial Intelligence (AI) and Large Language Models (LLMs).Founding Rationale:• Mentions was born out of Rob Hoffmann's SEO agency, Contact.• The shift was necessitated by the recognition that SEO had "changed a lot" recently in response to AI, with search trends moving away from Google and "towards platforms like ChatGPT" (along with Perplexity, Gemini, Claude, etc.).• The founding goal was to be "the SEO agency of the future".• The tool was specifically created to solve two problems: providing a way of measuring brands visibility on LLM platforms, and helping brands get more visibility on platforms like ChatGPT.2. Why are LLMs becoming preferred search alternatives, and how does this affect marketing?People are increasingly turning to LLMs because consumer trust in traditional Google search results (the SERP's top 10 links) has declined, as many users feel these results have been "gamed" by marketers.• Trust in ChatGPT: Conversely, trust in ChatGPT is "through the roof". This is because the chat-based interface makes interaction feel like a conversation with a friend or even a therapist, providing personalized responses from an "all-knowing AI entity".• Customer Acquisition Channel: Because ChatGPT is becoming a frequently used search engine alternative, showing up in its responses when a user searches for a product (e.g., "what is the best organic sulfite free shampoo") is seen as a "great customer acquisition channel".3. How does the mention tool conceptualize LLM visibility (GEO)?Mentions is built on the understanding of how modern LLMs generate answers: LLM + search operator = the result.• The Process: When a user inputs a query (e.g., "what is the best shampoo for dry scalps"): 1. The LLM searches the internet (like Bing or Google). 2. It scrapes the top 10 to 20 results that show up on those search engines. 3. It digests, summarizes, and serves that information to the user.• The Strategy: For a brand to achieve visibility in LLMs (GEO), they must first show up in those underlying search results (traditional SEO). Mentions helps brands reverse engineer the process by figuring out how platforms like ChatGPT get their data and, critically, what sources they are citing to provide responses, thereby guiding the brand to become a cited source.4. What are the key features of the mentions platform?Mentions helps users understand and optimize their content strategy based on LLM data.• Prompts Section (Favorite Feature): This allows users to track specific searches or prompts. When tracking a prompt, mentions shows examples of conversations and, most usefully, lists the pages that are most being cited by ChatGPT. This list provides an "easy road map" for the brand to know whether they should create new content or reach out to those listed publishers to get mentioned.• Analytics Feature: This feature pulls data from Google Analytics 4 (J4) into an easy-to-use dashboard. It helps users see which pages on their website people are visiting most often from LLMs (such as ChatGPT or Perplexity), along with geographical data and device usage (mobile vs. desktop). The founder notes that seeing this traffic is often a "magical experience" for users.• Tracking Cadence (24-Hour Clock): Mentions inputs tracked prompts into all supported LLMs (ChatGPT, Perplexity, Claude, Deepseek, etc.) every 24 hours. This is essential because LLM responses are not identical on every search (the overlap is about 70%), so regular, repeated testing ensures the collection of a large data set, which increases the accuracy of the insights provided.5. Who should invest in mentions or GEO (LLM visibility)?The decision to use mentions depends entirely on the company's buyer journey.• Yes, Use Mentions If: If the company's buyer journey involves the ideal customer having a problem and then searching for an answer in Google or Chat GBT to inform their buying decision, then investing in SEO and GEO (LLM visibility) is recommended. If the end customer uses ChatGPT to inform their buying decision, then mentions is advisable.• No, Don't Use Mentions If: If the product is an impulse buy (e.g., a consumer package goods product seen on TikTok or Instagram that prompts an immediate purchase), then search engines like Google or ChatGPT are not part of the buyer journey, and SEO/GEO is likely not the best investment of marketing resources.6. How does mentions handle customer service and support?Customer service is a highly emphasized competitive advantage and value proposition for mentions.• Direct Access: Rob Hoffmann, the CEO and co-founder, gives his personal phone number, WhatsApp, email, and allows customers to contact him on social media (X/Twitter). This is done to avoid the frustration associated with generic AI chatbots, calling hotlines, or being put on hold.• Personalized Onboarding: He finds it helpful to get on calls with users (or a co-founder) to provide a live demo, walk them through the platform, suggest useful features, and look at their specific site.• Commitment to Resolution: Hoffmann promises that if a user has a question, he will answer it; if they encounter a bug, he will fix it (or ping a technical co-founder); and if they request a new feature, "we will ship that for you". Customers can literally pick up the phone and call him directly if they run into an issue.7. How can people start using mentions?To get started, users should go to the website mentions.so and create an account.After creating an account, they will receive an email that allows them to book a call directly with Rob Hoffmann. He also welcomes connections via LinkedIn or X (search for Rob Hoffman), or email rob@contactststudios.com to connect with Rob today!Next Steps for Digital Marketing + SEO Services:>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need SEO Services? Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Need more information? Visit our Work and PLAY Entertainment website to learn about our digital marketing services.>> Visit our Official website for the best digital marketing, SEO, and AI strategies today!Digital Marketing SEO Resources:>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need SEO Services? 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In this powerful episode, Cinthia sits down with Davina Frederick, attorney, business strategist, and founder of Wealthy Woman Lawyer®, to explore what it really takes to grow a law firm beyond yourself and into a sustainable, million-dollar business. Davina shares her journey from burnt-out solo lawyer to thriving CEO and coach to hundreds of women law firm owners. Together, they unpack: Why most women lawyers struggle to hire — and how to shift your mindset The stages of growth in a law firm (and what to prioritize at each one) How to let go of perfectionism and build a team you actually trust The difference between doing client work vs. leading a business What your real job is as a law firm owner (hint: it's not just “being a lawyer”) How to choose marketing strategies that align with your strengths and stage of business Why Davina wrote her book The Wealthy Woman Lawyer's Guide to Law Firm Marketing in the Virtual Age — and how to get it for free If you're a woman growing a service-based business — especially in law — this episode is packed with honest insight, practical tools, and permission to do things your own way.    

I had such a great time joining the From Zero to N podcast

For many marketers, managing data across different platforms is a constant headache. From pulling campaign metrics into Airtable to building reports that actually make sense, the process often eats up hours that could be better spent on strategy. Andy Cloke, founder of Data Fetcher, joins the podcast to explore how no-code integrations can transform the way marketers work with data. Andy shares how Data Fetcher makes it simple to connect Airtable with your popular platforms, automatically update dashboards, and streamline reporting. He also discusses the growing importance of APIs in marketing, why integrations are becoming non-negotiable, and how even non-technical professionals can harness these tools to work smarter.   About Data Fetcher Data Fetcher is an Airtable extension that lets non-technical teams connect to any API without writing code. Launched in 2020 as one of the first extensions on the Airtable marketplace, it now serves hundreds of customers who pull data from over 5,000 different APIs. The tool offers pre-built integrations for popular services like Google Analytics, Stripe, and OpenAI, plus the flexibility to connect to any REST or GraphQL API. Users can schedule automated syncs, transform incoming data, and build powerful workflows directly within their Airtable bases. As a bootstrapped and profitable company, Data Fetcher focuses on sustainable growth rather than chasing venture capital metrics. The extension has been featured by both Airtable and G2.   About Andy Cloke Andy Cloke is the founder of Data Fetcher, a bootstrapped SaaS that helps teams connect APIs to Airtable. After teaching himself to code and working as a freelance developer, he built and sold his first startup before launching Data Fetcher on the Airtable marketplace. As a solo founder, Andy uses Twitter to share his experiments, failures, and wins openly to help other bootstrappers. He focuses on leveraging platform ecosystems to find underserved niches and advocates for staying focused on one project rather than chasing shiny objects. Time Stamps 00:00:17 - Guest Introduction: Andy Cloke 00:01:49 - Previous MarTech Venture: TikTok Influencer Platform 00:02:39 - Introduction to Data Fetcher 00:05:10 - Ease of Use and Integration with Airtable 00:07:26 - Challenges Marketers Face with Data Tools 00:11:46 - No-Code Movement and Its Impact on Marketing 00:13:18 - Marketplace Insights for Software Vendors 00:19:27 - Leveraging AI in Marketing Workflows 00:20:25 - Best Marketing Advice Received by Andy 00:21:31 - Advice for New Marketers Quotes "Data Fetcher basically lets people have an escape patch, like a really flexible tool that lets them connect to anything, pulling the data from other places." Andy Cloke, Founder of Data Fetcher.   "An API is just a way of them saying, here's how you can get data out of this tool or write data into it in a kind of predictable, robust way." Andy Cloke, Founder of Data Fetcher.   "If SEO and YouTube are working, just focus on those, just double down and just nailing one or two channels is much more effective than trying to be everywhere and to everyone." Andy Cloke, Founder of Data Fetcher. Follow Andy: Andy Cloke on LinkedIn: https://www.linkedin.com/in/andycloke/ Data Fetcher's website: https://datafetcher.com/ Data Fetcher on LinkedIn: https://www.linkedin.com/company/datafetcher/   Follow Mike: Mike Maynard on LinkedIn: https://www.linkedin.com/in/mikemaynard/ Napier website: https://www.napierb2b.com/ Napier LinkedIn: https://www.linkedin.com/company/napier-partnership-limited/   If you enjoyed this episode, be sure to subscribe to our podcast for more discussions about the latest in Marketing B2B Tech and connect with us on social media to stay updated on upcoming episodes. We'd also appreciate it if you could leave us a review on your favourite podcast platform. Want more? Check out Napier's other podcast - The Marketing Automation Moment: https://podcasts.apple.com/ua/podcast/the-marketing-automation-moment-podcast/id1659211547

What's the Best Effective SEO Strategy for Beginners? Marketing Essentials with Favour Obasi-Ike (Glossary)| Get exclusive SEO newsletters in your inbox.This discussion offers an in-depth exploration of Search Engine Optimization (SEO) strategies, primarily for beginners and small business owners emphasizing the importance of audience targeting, answering user questions, and consistent content creation (such as blogs and podcasts) to improve online visibility.Key technical SEO aspects are highlighted, including securing a website with HTTPS, creating and submitting a sitemap (XML file) for search engine readability, and focusing on long-tail keywords for better conversion rates. The conversation also touches on the effective use of various platforms like Clubhouse, Google Analytics, and Google Search Console for data intelligence and content distribution, ultimately aiming to protect, earn, and scale a business's online presence.Next Steps for Digital Marketing + SEO Services:>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need SEO Services? Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Need more information? Visit our Work and PLAY Entertainment website to learn about our digital marketing services.FAQs1. What is the fundamental principle of effective SEO for beginners?The best SEO strategy for beginners starts with understanding and targeting your audience by asking questions. SEO is fundamentally about providing answers to the questions people are asking. This approach not only helps you create relevant content but also aligns your efforts with how search engines (like Google, ChatGPT, Pinterest, YouTube, and Amazon) operate. By consistently answering these questions, you build authority and credibility, which are crucial for visibility and growth. Tools like Answerthepublic.com, Answerocrates.com, SparkToro.com, and Ubersuggest.com can help you identify these questions and understand audience intent.2. Why is audience understanding crucial for SEO and content creation?Understanding your audience is paramount because it allows you to create content that directly addresses their needs and queries. When you create content with the user's questions in mind, you're not just optimizing for algorithms; you're building a connection with your potential audience. This "three-way connection" between you, your audience, and the algorithm ensures that your content resonates with those actively searching for solutions. It helps bypass the algorithm by matching user intent with your offerings, leading to higher engagement and a stronger brand.3. What are the essential technical SEO elements for a beginner's website?For a beginner, ensuring strong technical SEO involves several fundamental steps:HTTPS Security Connection (SSL): Always secure your website with an HTTPS connection. This creates a privacy area for users, builds trust (indicated by a padlock in the browser), and is a crucial ranking factor for search engines. Websites without this are often flagged as "not secure," leading to immediate user abandonment.Sitemap (XML File): A sitemap is like a brain or a map for your website, allowing algorithms to read and understand its structure and content. While humans read HTML (hypertext markup language), algorithms read XML (expandable markup language). Platforms like WordPress (with plugins like Yoast, RankMath), Squarespace, Shopify, and Wix automatically generate sitemaps, but they must be connected to tools like Google Search Console and Google Analytics to be fully activated and effective.No Broken or Duplicated Links: Regularly check for and fix broken links and avoid duplicating content, as these issues can confuse search engines and negatively impact your ranking.4. How important are blogs and consistent content creation for SEO?Blogs (or articles, sources) are essential because they tell the world you have something valuable to say. Websites like Wikipedia, Reddit, Shopify, and Canva all leverage blogs to provide information. A consistent blogging strategy feeds your website with good, indexable information that can be submitted to various search engines (Google, Yahoo, Microsoft) and AI platforms (ChatGPT). This consistency helps you earn credibility, which in turn leads to broader distribution across different platforms, strengthening your online presence. For new businesses, publishing content 1-2 times a week can show significant results within 3-6 months.Glossary of Episode Key Terms: SEO for BeginnersAAlgorithm: A set of rules or instructions that a search engine uses to rank websites and determine the relevance of content to a user's query.AnswerThePublic.com / Answerocrates.com/ SparkToro.com / Ubersuggest.com: Website tools used for keyword research and understanding audience questions and interests.Article: A piece of written content on a website, essential for SEO and establishing expertise.Audience Targeting/Marketing: Focusing marketing efforts on a specific group of consumers who are most likely to be interested in a product or service.Access Links: See Backlinks.BBacklinks/Referral Links/Access Links/Image Links: Different types of links pointing back to a website, which are crucial for SEO authority.Binary Code: A computer language that uses only two symbols, typically 0 and 1, to represent information.Blog: A section of a website featuring regularly updated written content.Bootstrapping: Starting a business with little or no outside capital, relying on personal finances or operating revenues.Bottom of Funnel: The stage in the customer journey where users are ready to convert; content here targets these users.Broken Links: Hyperlinks that point to non-existent or moved pages, negatively affecting user experience and SEO.CChatGPT/Perplexity/Pinterest/YouTube/Amazon: Examples of platforms where users search for information, and SEO strategies can be applied to increase visibility.Clubhouse Plus: A paid feature on the Clubhouse app, offering tools to enhance user experience and business growth.Content Distribution: The process of publishing and promoting content across various platforms and channels.Content Reproduction/Publish/Distribute: The process of creating, making available, and spreading content across various channels.Conversion Opportunities/Lifts/Engagement: Metrics indicating how often users take a desired action (e.g., signing up, purchasing), how much those actions increase, and how users interact with content.Credibility: The quality of being trusted and believed in, built through consistent and valuable content.DData Intelligence/Market Intelligence: Gathering and analyzing information to understand market trends, customer behavior, and competitive landscapes.Duplicated Links: Multiple links pointing to the same content, which can confuse search engines and dilute link equity.FFAQs (Frequently Asked Questions): A section of a website that provides answers to common customer questions, useful for both users and algorithms.GGoogle Analytics: A free web analytics service that tracks and reports website traffic, providing insights into user behavior.Google Business Profile (formerly Google My Business): A free tool from Google that helps businesses manage their online presence across Google, including Search and Maps.Google Developers: A platform for developers to learn about and use Google technologies.Google Search Central (formerly Google Webmasters): A resource provided by Google for website owners to improve their site's visibility in Google Search.Google Search Console: A free web service by Google that helps website owners monitor their site's performance in Google Search results and troubleshoot issues.HHigh Volume Searches: Refers to keywords that are searched for a large number of times by users.HTML (HyperText Markup Language): The standard markup language for documents designed to be displayed in a web browser, forming the readable text and links on a webpage.HTTPS (Hypertext Transfer Protocol Secure): A secure version of HTTP, the protocol over which data is sent between your browser and the website. Indicated by a padlock icon in the browser.IIndexable Content: Content that search engines can discover, read, and add to their index.International Business: A classification of a business based on its geographic operational scope being global.KKeyword Research: The process of finding and analyzing actual search terms that people use to find information.Keywords (for LinkedIn Newsletter): Important words or phrases in the title that help the newsletter rank in search results.LLLM Refs: A platform mentioned for AI-related search insights, particularly with Search Console and analytics.Local Business: A classification of a business based on its geographic operational scope being a specific town or city.Long-tail Keywords: Specific, longer keyword phrases that typically have lower search volume but higher conversion rates.Low Volume Searches: Refers to keywords that are searched for a small number of times by users.MMeta Tag/Meta Data: Hidden elements in a webpage's HTML that provide search engines with information about the page.Metadata (for video): Information about a video file, such as title, description, tags, and timestamps, that helps search engines understand and rank it.Mindset/Toolset/Skillset: Three crucial "sets" for business success, emphasizing mental approach, available resources, and learned abilities.Mobile-first Design: Designing websites primarily for mobile devices, given that a large percentage of web traffic comes from smartphones and tablets.MP4 File Name Convention: The naming structure of a video file, which can impact its discoverability if not optimized with keywords.NNational Business: A classification of a business based on its geographic operational scope being an entire country.PPixels (Meta, Pinterest, Google, TikTok): Small pieces of code placed on a website to track user behavior, conversions, and build audience lists for advertising.Podcast Distribution: The process of making a podcast available on various platforms (Apple, Spotify, iHeart, Pandora).Post-purchase: Refers to the stage of a customer's journey after they have made a purchase.Pre-purchase: Refers to the stage of a customer's journey before they make a purchase, influencing the type of content they seek.Protect, Earn, Scale (PES): A three-piece business model emphasizing security, credibility, and growth.QQuota on Google: A limit on the number of links (e.g., 10 per 24 hours) that can be submitted to Google for indexing.RRegional Business: A classification of a business based on its geographic operational scope being a specific area or state.Rookie Mistake: A common error made by beginners.RSS (Really Simple Syndication): A web feed format used to publish frequently updated works—such as blog entries, news headlines, audio, and video—in a standardized format.SSEO (Search Engine Optimization): The process of optimizing a website to rank higher in search engine results, thereby increasing organic (unpaid) traffic.Sitemap (XML file): A file where you provide information about the pages, videos, and other files on your site. Search engines read this file to crawl your site more efficiently.Source: The origin of information or content.SSL (Secure Sockets Layer): A standard security technology for establishing an encrypted link between a web server and a browser, ensuring data remains private. (Often referred to interchangeably with HTTPS).TTechnical SEO: Optimizing the technical aspects of a website (e.g., speed, mobile-friendliness, crawlability) to improve its search engine rankings.Top of Funnel: The stage in the customer journey where content aims for broad awareness.Topical Pillars/Clusters: A content strategy where a broad "pillar" topic is supported by multiple "cluster" content pieces that delve into specific subtopics.UURL (Uniform Resource Locator): The address of a resource on the internet, such as a webpage.UTM Parameters (Urchin Tracking Module): Tags added to a URL to track the effectiveness of online marketing campaigns.WWeb Page: A single document on the internet, typically in HTML format.Web Link: The address (URL) that points to a specific web page or resource.Website: A collection of interconnected web pages under a single domain name.XXML (eXtensible Markup Language): A markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable, commonly used for sitemaps.YYoast/RankMath/All-in-One SEO: Popular WordPress plugins that assist with SEO tasks, including sitemap generation.Digital Marketing SEO Resources:>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need SEO Services? Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brands We Love and SupportDiscover Vegan-based Luxury Experiences | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Loving Me Beauty Beauty ProductsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, I walk through the different areas of your business you can use Google Analytics data to make decisions in your business. More information about SEO Retainers: https://digitalbloomiq.com/seoretainers   Website Links: Full episode shownotes for this episode: https://digitalbloomiq.com/podcast/ Get email updates on all podcast episodes (+ SEO tips, behind the scenes, and early bird offers) : here: https://digitalbloomiq.com/email   90 Day SEO Plan: Your Dream Clients Booking You Overnight! Free webinar training here: https://digitalbloomiq.com/90dayseoplan More information about the podcast and Digital Bloom IQ: https://digitalbloomiq.com/podcast https://www.instagram.com/digitalbloomiq/ https://twitter.com/digitalbloomiq https://facebook.com/digitalbloomiq https://www.linkedin.com/in/cinthia-pacheco/ Voice Over, Mixing and Mastering Credits: L. Connor Voice - LConnorvoice@gmail.com Lconnorvoice.com Music Credits:  Music: Kawaii! - Bad Snacks Support by RFM - NCM: https://bit.ly/3f1GFyN  

Hey there, Manana No Mas! fans! We recently had a blast chatting with Derek Ashauer, a WordPress wizard with over two decades of web-building magic under his belt. In our latest podcast episode, Derek spilled the beans on his game-changing plugin, Conversion Bridge, and shared some golden nuggets about thriving in the WordPress ecosystem. Buckle up for the highlights! Derek's brainchild, Conversion Bridge, is like a Swiss Army knife for analytics and ad tracking. Supporting 16 analytics platforms, 8 ad platforms, and a whopping 58 plugins (with more on the way!), It's a one-stop shop for agencies juggling diverse client needs. Whether it's Google Analytics, Fathom, or Reddit ads, this plugin simplifies conversion tracking for e-commerce, forms, and memberships, saving you from the headache of piecing together multiple tools. Derek's mission? To make your life easier by replacing a tangle of pricey plugins with one sleek solution. The convo got real when Derek dished on the struggles of GA4's confusing dashboards and the rise of privacy-focused analytics platforms. He explained how Conversion Bridge empowers agencies to track what *really* matters—form submissions, purchases, and button clicks—without drowning in data. Plus, it's a game-changer for agencies looking to prove their worth with hard numbers, like “Hey, our redesign boosted conversions by 27%!” Talk about a portfolio glow-up! We also dove into the WordPress community, where Derek's a relative newbie but already reaping the rewards of connection. From meeting industry bigwigs to swapping ideas with fellow developers, he's found a supportive network that's helped him grow his products and dodge the “one-man show” blues. So, whether you're an agency owner wrestling with analytics or just curious about leveling up your WordPress game, Derek's insights are pure gold. Want to connect? Find him on X @DerekAshauer Check out his products at WPSunshine.com, including ConversionBridgeWP.com and SunshinePhotoCart.com.

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss whether blogs and websites still matter in the age of generative AI. You’ll learn why traditional content and SEO remain essential for your online presence, even with the rise of AI. You’ll discover how to effectively adapt your content strategy so that AI models can easily find and use your information. You’ll understand why focusing on answering your customer’s questions will benefit both human and AI search. You’ll gain practical tips for optimizing your content for “Search Everywhere” to maximize your visibility across all platforms. Tune in now to ensure your content strategy is future-proof! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-do-websites-matter-in-the-age-of-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, one of the biggest questions that people have, and there’s a lot of debate on places like LinkedIn about this, is whether blogs and websites and things even matter in the age of generative AI. There are two different positions on this. The first is saying, no, it doesn’t matter. You just need to be everywhere. You need to be doing podcasts and YouTube and stuff like that, as we are now. The second is the classic, don’t build on rented land. They have a place that you can call your own and things. So I have opinions on this, but Katie, I want to hear your opinions on this. Katie Robbert – 00:37 I think we are in some ways overestimating people’s reliance on using AI for fact-finding missions. I think that a lot of people are turning to generative AI for, tell me the best agency in Boston or tell me the top five list versus the way that it was working previous to that, which is they would go to a search bar and do that instead. I think we’re overestimating the amount of people who actually do that. Katie Robbert – 01:06 Given, when we talk to people, a lot of them are still using generative AI for the basics—to write a blog post or something like that. I think personally, I could be mistaken, but I feel pretty confident in my opinion that people are still looking for websites. Katie Robbert – 01:33 People are still looking for thought leadership in the form of a blog post or a LinkedIn post that’s been repurposed from a blog post. People are still looking for that original content. I feel like it does go hand in hand with AI because if you allow the models to scrape your assets, it will show up in those searches. So I guess I think you still need it. I think people are still going to look at those sources. You also want it to be available for the models to be searching. Christopher S. Penn – 02:09 And this is where folks who know the systems generally land. When you look at a ChatGPT or a Gemini or a Claude or a Deep Seat, what’s the first thing that happens when a model is uncertain? It fires up a web search. That web search is traditional old school SEO. I love the content saying, SEO doesn’t matter anymore. Well, no, it still matters quite a bit because the web search tools are relying on the, what, 30 years of website catalog data that we have to find truthful answers. Christopher S. Penn – 02:51 Because AI companies have realized people actually do want some level of accuracy when they ask AI a question. Weird, huh? It really is. So with these tools, we have to. It is almost like you said, you have to do both. You do have to be everywhere. Christopher S. Penn – 03:07 You do have to have content on YouTube, you do have to post on LinkedIn, but you also do have to have a place where people can actually buy something. Because if you don’t, well. Katie Robbert – 03:18 And it’s interesting because if we say it in those terms, nothing’s changed. AI has not changed anything about our content dissemination strategy, about how we are getting ourselves out there. If anything, it’s just created a new channel for you to show up in. But all of the other channels still matter and you still have to start at the beginning of creating the content because you’re not. People like to think that, well, I have the idea in my head, so AI must know about it. It doesn’t work that way. Katie Robbert – 03:52 You still have to take the time to create it and put it somewhere. You are not feeding it at this time directly into OpenAI’s model. You’re not logging into OpenAI saying, here’s all the information about me. Katie Robbert – 04:10 So that when somebody asks, this is what you serve it up. No, it’s going to your website, it’s going to your blog post, it’s going to your social profiles, it’s going to wherever it is on the Internet that it chooses to pull information from. So your best bet is to keep doing what you’re doing in terms of your content marketing strategy, and AI is going to pick it up from there. Christopher S. Penn – 04:33 Mm. A lot of folks are talking, understandably, about how agentic AI functions and how agentic buying will be a thing. And that is true. It will be at some point. It is not today. One thing you said, which I think has an asterisk around it, is, yes, our strategy at Trust Insights hasn’t really changed because we’ve been doing the “be everywhere” thing for a very long time. Christopher S. Penn – 05:03 Since the inception of the company, we’ve had a podcast and a YouTube channel and a newsletter and this and that. I can see for legacy companies that were still practicing, 2010 SEO—just build it and they will come, build it and Google will send people your way—yeah, you do need an update. Katie Robbert – 05:26 But AI isn’t the reason. AI is—you can use AI as a reason, but it’s not the reason that your strategy needs to be updated. So I think it’s worth at least acknowledging this whole conversation about SEO versus AEO versus Giao Odo. Whatever it is, at the end of the day, you’re still doing, quote unquote, traditional SEO and the models are just picking up whatever you’re putting out there. So you can optimize it for AI, but you still have to optimize it for the humans. Christopher S. Penn – 06:09 Yep. My favorite expression is from Ashley Liddell at Deviate, who’s an SEO shop. She said SEO now just stands for Search Everywhere Optimization. Everything has a search. TikTok has a search. Pinterest has a search. You have to be everywhere and then you have to optimize for it. I think that’s the smartest way to think about this, to say, yeah, where is your customer and are you optimizing for? Christopher S. Penn – 06:44 One of the things that we do a lot, and this is from the heyday of our web analytics era, before the AI era, go into your Google Analytics, go into referring source sites, referring URLs, and look where you’re getting traffic from, particularly look where you’re getting traffic from for places that you’re not trying particularly hard. Christopher S. Penn – 07:00 So one place, for example, that I occasionally see in my own personal website that I have, to my knowledge, not done anything on, for quite some time, like decades or years, is Pinterest. Every now and again I get some rando from Pinterest coming. So look at those referring URLs and say, where else are we getting traffic from? Maybe there’s a there. If we’re getting traffic from and we’re not trying at all, maybe there’s a there for us to try something out there. Katie Robbert – 07:33 I think that’s a really good pro tip because it seems like what’s been happening is companies have been so focused on how do we show up in AI that they’re forgetting that all of these other things have not gone away and the people who haven’t forgotten about them are going to capitalize on it and take that digital footprint and take that market share. While you were over here worried about how am I going to show up as the first agency in Boston in the OpenAI search, you still have—so I guess to your question, where you originally asked, is, do we still need to think about websites and blogs and that kind of content dissemination? Absolutely. If we’re really thinking about it, we need to consider it even more. Katie Robbert – 08:30 We need to think about longer-form content. We need to think about content that is really impactful and what is it? The three E’s—to entertain, educate, and engage. Even more so now because if you are creating one or two sentence blurbs and putting that up on your website, that’s what these models are going to pick up and that’s it. So if you’re like, why is there not a more expansive explanation as to who I am? That’s because you didn’t put it out there. Christopher S. Penn – 09:10 Exactly. We were just doing a project for a client and were analyzing content on their website and I kid you not, one page had 12 words on it. So no AI tool is going to synthesize about you. It’s just going to say, wow, this sucks and not bother referring to you. Katie Robbert – 09:37 Is it fair to say that AI is a bit of a distraction when it comes to a content marketing strategy? Maybe this is just me, but the way that I would approach it is I would take AI out of the conversation altogether just for the time being. In terms of what content do we want to create? Who do we want to reach? Then I would insert AI back in when we’re talking about what channels do we want to appear on? Because I’m really thinking about AI search. For a lack of a better term, it’s just another channel. Katie Robbert – 10:14 So if I think of my attribution modeling and if I think of what that looks like, I would expect maybe AI shows up as a first touch. Katie Robbert – 10:31 Maybe somebody was doing some research and it’s part of my first touch attribution. But then they’re like, oh, that’s interesting. I want to go learn more. Let me go find their social profiles. That’s going to be a second touch. That’s going to be sort of the middle. Then they’re like, okay, now I’m ready. So they’re going to go to the website. That’s going to be a last touch. I would just expect AI to be a channel and not necessarily the end-all, be-all of how I’m creating my content. Am I thinking about that the right way? Christopher S. Penn – 11:02 You are. Think about it in terms of the classic customer training—awareness, consideration, evaluation, purchase and so on and so forth. Awareness you may not be able to measure anymore, because someone’s having a conversation in ChatGPT saying, gosh, I really want to take a course on AI strategy for leaders and I’m not really sure where I would go. It’s good. And ChatGPT will say, well, hey, let’s talk about this. It may fire off some web searches back and forth and things, and come back and give you an answer. Christopher S. Penn – 11:41 You might say, take Katie Robbert’s Trust Insights AI strategy course at Trust Insights AI/AI strategy course. You might not click on that, or there might not even be a link there. What might happen is you might go, I’ll Google that. Christopher S. Penn – 11:48 I’ll Google who Katie Robbert is. So the first touch is out of your control. But to your point, that’s nothing new. You may see a post from Katie on LinkedIn and go, huh, I should Google that? And then you do. Does LinkedIn get the credit for that? No, because nothing was clicked on. There’s no clickstream. And so thinking about it as just another channel that is probably invisible is no different than word of mouth. If you and I or Katie are at the coffee shop and having a cup of coffee and you tell me about this great new device for the garden, I might Google it. Or I might just go straight to Amazon and search for it. Katie Robbert – 12:29 Right. Christopher S. Penn – 12:31 But there’s no record of that. And the only way you get to that is through really good qualitative market research to survey people to say, how often do you ask ChatGPT for advice about your marketing strategy? Katie Robbert – 12:47 And so, again, to go back to the original question of do we still need to be writing blogs? Do we still need to have websites? The answer is yes, even more so. Now, take AI out of the conversation in terms of, as you’re planning, but think about it in terms of a channel. With that, you can be thinking about the optimized version. We’ve covered that in previous podcasts and live streams. There’s text that you can add to the end of each of your posts or, there’s the AI version of a press release. Katie Robbert – 13:28 There are things that you can do specifically for the machines, but the machine is the last stop. Katie Robbert – 13:37 You still have to put it out on the wire, or you still have to create the content and put it up on YouTube so that you have a place for the machine to read the thing that you put up there. So you’re really not replacing your content marketing strategy with what are we doing for AI? You’re just adding it into the fold as another channel that you have to consider. Christopher S. Penn – 14:02 Exactly. If you do a really good job with the creation of not just the content, but things like metadata and anticipating the questions people are going to ask, you will do better with AI. So a real simple example. I was actually doing this not too long ago for Trust Insights. We got a pricing increase notice from our VPS provider. I was like, wow, that’s a pretty big jump. Went from like 40 bucks a month, it’s going to go like 90 bucks a month, which, granted, is not gigantic, but that’s still 50 bucks a month more that I would prefer not to spend if I don’t have to. Christopher S. Penn – 14:40 So I set up a deep research prompt in Gemini and said, here’s what I care about. Christopher S. Penn – 14:49 I want this much CPU and this much memory and stuff like that. Make me a short list by features and price. It came back with a report and we switched providers. We actually found a provider that provided four times the amount of service for half the cost. I was like, yes. All the providers that have “call us for a demo” or “request a quote” didn’t make the cut because Gemini’s like, weird. I can’t find a price on your website. Move along. And they no longer are in consideration. Christopher S. Penn – 15:23 So one of the things that everyone should be doing on your website is using your ideal customer profile to say, what are the questions that someone would ask about this service? As part of the new AI strategy course, we. Christopher S. Penn – 15:37 One of the things we did was we said, what are the frequently asked questions people are going to ask? Like, do I get the recordings, what’s included in the course, who should take this course, who should not take this course, and things like that. It’s not just having more content for the sake of content. It is having content that answers the questions that people are going to ask AI. Katie Robbert – 15:57 It’s funny, this kind of sounds familiar. It almost kind of sounds like the way that Google would prioritize content in its search algorithm. Christopher S. Penn – 16:09 It really does. Interestingly enough, if you were to go into it, because this came up recently in an SEO forum that I’m a part of, if you go into the source code of a ChatGPT web chat, you can actually see ChatGPT’s internal ranking for how it ranks search results. Weirdly enough, it does almost exactly what Google does. Which is to say, like, okay, let’s check the authority, let’s check the expertise, let’s check the trustworthiness, the EEAT we’ve been talking about for literally 10 years now. Christopher S. Penn – 16:51 So if you’ve been good at anticipating what a Googler would want from your website, your strategy doesn’t need to change a whole lot compared to what you would get out of a generative AI tool. Katie Robbert – 17:03 I feel like if people are freaking out about having the right kind of content for generative AI to pick up, Chris, correct me if I’m wrong, but a good place to start might be with inside of your SEO tools and looking at the questions people ask that bring them to your website or bring them to your content and using that keyword strategy, those long-form keywords of “how do I” and “what do I” and “when do I”—taking a look at those specifically, because that’s how people ask questions in the generative AI models. Katie Robbert – 17:42 It’s very similar to how when these search engines included the ability to just yell at them, so they included like the voice feature and you would say, hey, search engine, how do I do the following five things? Katie Robbert – 18:03 And it changed the way we started looking at keyword research because it was no longer enough to just say, I’m going to optimize for the keyword protein shake. Now I have to optimize for the keyword how do I make the best protein shake? Or how do I make a fast protein shake? Or how do I make a vegan protein shake? Or, how do I make a savory protein shake? So, if it changed the way we thought about creating content, AI is just another version of that. Katie Robbert – 18:41 So the way you should be optimizing your content is the way people are asking questions. That’s not a new strategy. We’ve been doing that. If you’ve been doing that already, then just keep doing it. Katie Robbert – 18:56 That’s when you think about creating the content on your blog, on your website, on your LinkedIn, on your Substack newsletter, on your Tumblr, on your whatever—you should still be creating content that way, because that’s what generative AI is picking up. It’s no different, big asterisks. It’s no different than the way that the traditional search engines are picking up content. Christopher S. Penn – 19:23 Exactly. Spend time on stuff like metadata and schema, because as we’ve talked about in previous podcasts and live streams, generative AI models are language models. They understand languages. The more structured the language it is, the easier it is for a model to understand. If you have, for example, JSON, LD or schema.org markup on your site, well, guess what? That makes the HTML much more interpretable for a language model when it processes the data, when it goes to the page, when it sends a little agent to the page that says, what is this page about? And ingests the HTML. It says, oh look, there’s a phone number here that’s been declared. This is the phone number. Oh look, this is the address. Oh look, this is the product name. Christopher S. Penn – 20:09 If you spend the time to either build that or use good plugins and stuff—this week on the Trust Insights live stream, we’re going to be talking about using WordPress plugins with generative AI. All these things are things that you need to think about with your content. As a bonus, you can have generative AI tools look at a page and audit it from their perspective. You can say, hey ChatGPT, check out this landing page here and tell me if this landing page has enough information for you to guide a user about whether or not they should—if they ask you about this course, whether you have all the answers. Think about the questions someone would ask. Think about, is that in the content of the page and you can do. Christopher S. Penn – 20:58 Now granted, doing it one page at a time is somewhat tedious. You should probably automate that. But if it’s a super high-value landing page, it’s worth your time to say, okay, ChatGPT, how would you help us increase sales of this thing? Here’s who a likely customer is, or even better if you have conference call transcripts, CRM notes, emails, past data from other customers who bought similar things. Say to your favorite AI tool: Here’s who our customers actually are. Can you help me build a customer profile and then say from that, can you optimize, help me optimize this page on my website to answer the questions this customer will have when they ask you about it? Katie Robbert – 21:49 Yeah, that really is the way to go in terms of using generative AI. I think the other thing is, everyone’s learning about the features of deep research that a lot of the models have built in now. Where do you think the data comes from that the deep research goes and gets? And I say that somewhat sarcastically, but not. Katie Robbert – 22:20 So I guess again, sort of the PSA to the organizations that think that blog posts and thought leadership and white papers and website content no longer matter because AI’s got it handled—where do you think that data comes from? Christopher S. Penn – 22:40 Mm. So does your website matter? Sure, it does a lot. As long as it has content that would be useful for a machine to process. So you need to have it there. I just have curiosity. I just typed in “can you see any structured data on this page?” And I gave it the URL of the course and immediately ChatGPT in the little thinking—when it says “I’m looking for JSON, LD and meta tags”—and saying “here’s what I do and don’t see.” I’m like, oh well that’s super nice that it knows what those things are. And it’s like, okay, well I guess you as a content creator need to do this stuff. And here’s the nice thing. Christopher S. Penn – 23:28 If you do a really good job of tuning a page for a generative AI model, you will also tune it really well for a search engine and you will also tune it really well for an actual human being customer because all these tools are converging on trying to deliver value to the user who is still human for the most part and helping them buy things. So yes, you need a website and yes, you need to optimize it and yes, you can’t just go posting on social networks and hope that things work out for the best. Katie Robbert – 24:01 I guess the bottom line, especially as we’re nearing the end of Q3, getting into Q4, and a lot of organizations are starting their annual planning and thinking about where does AI fit in and how do we get AI as part of our strategy. And we want to use AI. Obviously, yes, take the AI Ready Strategist course at TrustInsights AIstrategy course, but don’t freak out about it. That is a very polite way of saying you’re overemphasizing the importance of AI when it comes to things like your content strategy, when it comes to things like your dissemination plan, when it comes to things like how am I reaching my audience. You are overemphasizing the importance because what’s old is new. Katie Robbert – 24:55 Again, basic best practices around how to create good content and optimize it are still relevant and still important and then you will show up in AI. Christopher S. Penn – 25:07 It’s weird. It’s like new technology doesn’t solve old problems. Katie Robbert – 25:11 I’ve heard that somewhere. I might get that printed on a T-shirt. But I mean that’s the thing. And so I’m concerned about the companies going to go through multiple days of planning meetings and the focus is going to be solely on how do we show up in AI results. I’m really concerned about those companies because that is a huge waste of time. Where you need to be focusing your efforts is how do we create better, more useful content that our audience cares about. And AI is a benefit of that. AI is just another channel. Christopher S. Penn – 25:48 Mm. And clearly and cleanly and with lots of relevant detail. Tell people and machines how to buy from you. Katie Robbert – 25:59 Yeah, that’s a biggie. Christopher S. Penn – 26:02 Make it easy to say like, this is how you buy from Trust Insights. Katie Robbert – 26:06 Again, it sounds familiar. It’s almost like if there were a framework for creating content. Something like a Hero Hub help framework. Christopher S. Penn – 26:17 Yeah, from 12 years ago now, a dozen years ago now, if you had that stuff. But yeah, please folks, just make it obvious. Give it useful answers to questions that you know your buyers have. Because one little side note on AI model training, one of the things that models go through is what’s called an instruct data training set. Instruct data means question-answer pairs. A lot of the time model makers have to synthesize this. Christopher S. Penn – 26:50 Well, guess what? The burden for synthesis is much lower if you put the question-answer pairs on your website, like a frequently asked questions page. So how do I buy from Trust Insights? Well, here are the things that are for sale. We have this on a bunch of our pages. We have it on the landing pages, we have in our newsletters. Christopher S. Penn – 27:10 We tell humans and machines, here’s what is for sale. Here’s what you can buy from us. It’s in our ebooks and things you can. Here’s how you can buy things from us. That helps when models go to train to understand. Oh, when someone asks, how do I buy consulting services from Trust Insights? And it has three paragraphs of how to buy things from us, that teaches the model more easily and more fluently than a model maker having to synthesize the data. It’s already there. Christopher S. Penn – 27:44 So my last tactical tip was make sure you’ve got good structured question-answer data on your website so that model makers can train on it. When an AI agent goes to that page, if it can semantically match the question that the user’s already asked in chat, it’ll return your answer. Christopher S. Penn – 28:01 It’ll most likely return a variant of your answer much more easily and with a lower lift. Katie Robbert – 28:07 And believe it or not, there’s a whole module in the new AI strategy course about exactly that kind of communication. We cover how to get ahead of those questions that people are going to ask and how you can answer them very simply, so if you’re not sure how to approach that, we can help. That’s all to say, buy the new course—I think it’s really fantastic. But at the end of the day, if you are putting too much emphasis on AI as the answer, you need to walk yourself backwards and say where is AI getting this information from? That’s probably where we need to start. Christopher S. Penn – 28:52 Exactly. And you will get side benefits from doing that as well. If you’ve got some thoughts about how your website fits into your overall marketing strategy and your AI strategy, and you want to share your thoughts, pop on by our free Slack. Go to trustinsights.ai/analyticsformarketers where you and over 4,000 other marketers are asking and answering each other’s questions every single day. Christopher S. Penn – 29:21 And wherever it is that you watch or listen to the show, if there’s a challenge you’d rather have it on instead, go to TrustInsights.ai/tipodcast. We can find us at all the places fine podcasts are served. Thanks for tuning in and we’ll talk to you all on the next one. Katie Robbert – 29:31 Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth and acumen and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Katie Robbert – 30:04 Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Katie Robbert – 30:24 Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic, Claude Dall-E, Midjourney Stock, Stable Diffusion and Metalama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights podcast, the Inbox Insights newsletter, the So What Livestream webinars and keynote speaking. Katie Robbert – 31:14 What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Katie Robbert – 31:29 Data storytelling—this commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

SEO Marketing Successful Strategies for Q4 2025: Tracking, Sorting, and Mapping Data Intelligence with Favour Obasi-Ike | Get exclusive SEO newsletters in your inbox.This episode explains a three-step TSM marketing approach—Track, Sort, and Map—designed to create successful marketing strategies, particularly for Q4 2025. The tracking phase emphasizes the importance of a website for gaining organic and paid impressions, highlighting metrics like organic, paid, and earned traffic. Next, the sorting phase focuses on organizing business analytics by purchasing power, location, and pre/post-purchase intent to better understand customer needs.Finally, the mapping phase involves strategically distributing content across various platforms, using tools like pixels and analytics, to ensure the right audience finds the right products or services. The speaker also offers free SEO services and calls to help businesses implement these strategies.FAQs about this SEO Marketing Successful Strategies for Q4 2025: Tracking, Sorting, and Mapping Data Intelligence episode:1. What is the core three-step marketing strategy discussed for Q4 2025?The core strategy for marketing success in Q4 2025, and beyond, is the "TSM approach," which stands for Track, Sort, and Map. This methodology emphasizes understanding how your business is set up, collecting and organizing data, and then strategically guiding your audience from initial interest to conversion.2. Why is "tracking" considered the most important step in this strategy?Tracking is paramount because it provides the foundational metrics needed to understand your marketing efforts. Just like a runner on a track needs clear lines, businesses need to track metrics like impressions, leads, clicks, and website visitors. This involves monitoring organic, paid, and earned traffic. Without a website, which serves as the primary hub for collecting this data (including domain, hosting, and email communication), effective tracking is impossible. The speaker stresses, "When you track, you're able to attract," highlighting that data-driven insights allow you to effectively attract your target audience.3. How does the concept of "attention as a new currency" relate to successful marketing strategies?Favour introduces "attention as a new currency" and "retention as a new balance," emphasizing that in today's crowded digital landscape, consistently capturing and maintaining audience attention is crucial. This is achieved through consistent, valuable content across various platforms like blogs, podcasts, and social media. By tracking engagement and understanding what resonates with your niche audience, you can create a search-based campaign that puts your content at the top of search results, making you "first seen" and "first remembered," which directly translates to gaining valuable attention.4. What are the key considerations for "sorting" marketing data effectively?Sorting involves organizing your traffic and business analytics in a way that provides deeper insights into your audience. Key sorting parameters include purchasing power, location, pre-purchase intent, and post-purchase intent. By understanding where your audience is coming from, what they need, and why they need it, you can tailor your offerings more effectively. An example given is adapting workshop formats (morning/evening, virtual/in-person) and content (lead generation, AI visibility) based on audience feedback, rather than offering generic courses. Email marketing and audience segmentation are highlighted as crucial tools for this in-depth sorting.5. How does the speaker recommend optimizing paid advertising, specifically Google Ads, in conjunction with organic efforts?Favour suggests a cautious approach to Google Ads, advising against running them if you're not already showing up organically on Google search. Organic presence leads to a lower cost per acquisition, result, and click. While Google Ads can be effective with manual structures, exact and phrase matching, and granular control, the ultimate goal should be to shift towards a higher percentage of organic traffic (e.g., 62% organic vs. 38% paid). This is because organic traffic "earns" results and builds long-term authority, saving money over time compared to continuously paying for traffic. Platforms like Pinterest are also highlighted for their detailed targeting capabilities at a potentially lower cost per click compared to Google Ads, especially when leveraging tracked audience interests.6. What role does a website play in the overall TSM marketing strategy?A website is presented as the absolute foundational element. Without a website, none of the tracking, sorting, or mapping can effectively occur. It's the hub for organic impressions, a platform for content creation (blogs, podcasts), and a critical tool for understanding where your audience comes from (e.g., new vs. returning visitors). The website allows for the installation of tracking pixels (Facebook, LinkedIn, Pinterest, TikTok) and integration with tools like Google Analytics and Google Search Console, which are essential for gathering the data necessary for the TSM approach.7. What is the purpose of "mapping" in the TSM strategy, and how is it achieved?Mapping is about guiding your audience to the right destination based on their needs and your sorted data. It's about building a clear connection from point A (customer need) to point B (your solution/product). This involves understanding what people are searching for and ensuring your content and offerings directly address those searches. Mapping is achieved by strategically distributing content across various platforms (Google search, AI search results, social media, podcast distribution channels like RSS feeds) and ensuring your website has the necessary tags and pixels to track conversions. The goal is to be found when and where your target audience is looking, ensuring they take the desired action, much like finding the correct aisle in a grocery store.8. How can businesses leverage their intellectual property (IP) and improve their domain authority for long-term marketing success?Businesses should view their content and offerings as intellectual property (IP) and constantly assess its return. Consistent content production (blogs, podcasts) that remains relevant over time contributes significantly to sustained engagement, even without constant new releases. Improving domain authority is a long-term play, likened to building credit, with an average of about seven points per year if actively managed. Higher domain authority, especially with the integration of AI for top search and citation perspectives, leads to greater organic visibility and trust. 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Ready to take your law firm to the next level? This high-energy episode with Charley Mann, founder of Law Firm Alchemy, reveals the marketing and mindset shifts that separate thriving firms from struggling ones.From mastering referral marketing and crafting irresistible social media ads to avoiding SEO pitfalls and adopting a true CEO mindset, Sam Mollaei and Charley deliver strategies you can implement immediately. This isn't just inspiration—it's your roadmap to building a firm that thrives on trust, innovation, and unparalleled client service.Your next level is waiting. Tune in, take notes, and get ready to lead your law firm to success. Let's dive in!Key Takeaways from Sam and Charley:1. Referral Marketing as a Cornerstone for Law FirmsReferral marketing remains the most reliable strategy for law firms, especially in consumer-focused areas.It requires consistent relationship-building through personalized outreach, making a well-maintained contact list indispensable.2. Effectiveness of Social Media AdsSocial media ads on platforms like Meta, TikTok, and YouTube yield high ROI with precise targeting and clear messaging.Rigorous testing of lead forms and ad copy ensures better lead quality and optimized results.3. Pitfalls in SEO and Digital MarketingSEO often provides poor ROI compared to strategies like increasing client reviews or running ads.Law firms must own their digital assets, such as Google Analytics and websites, to retain control and ensure transparency.4. Consistency and Specialization in MarketingFocused efforts, like weekly emails and newsletters, build trust and keep firms top of mind.Mastering one platform or strategy before expanding helps maximize results and prevents inefficiency.5. Mindset for Success in Law Firm GrowthAn entrepreneurial mindset built on openness and adaptability is key to growth.By embracing challenges and staying consistent, successful law firm owners unlock both traditional and innovative opportunities. "When you go through the motion and start sharing [your ideas and knowledge] with the world, you enjoy it. You enjoy the process. Also, you level up when it comes to those fields, and it acts as a daily affirmation [and keeps you top of mind for your audience]." — Sam Mollaei"There is no actual gatekeeper. It is entirely incumbent on you to say, 'I'm allowed to control my future...to communicate with people...to market myself...to provide a level of quality in my services [that seems of an absurd degree of value].' You get to make all those choices." — Charley MannGet in touch with Charley Mann:Website: https://www.lawfirmalchemy.com/LinkedIn: https://www.linkedin.com/in/charleymann/

Navigating the Future of Nonprofits: AI, Analytics, and Philanthropy Shifts In this episode of Nonprofit Newsfeed the hosts dive into several key topics impacting the nonprofit sector. After a brief hiatus, the duo returns with insights from a compelling interview with Avinash Kaushik, a leading figure in the analytics world, known as the "godfather of Google Analytics." Key Highlights: Answer Engine Optimization (AEO): The conversation with Avinash emphasizes the transition from traditional SEO to AEO, where nonprofits must adapt to question-and-answer interactions driven by LLMs (Large Language Models). Avinash predicts a potential decline in nonprofit web traffic by 16% to 64% and paid search traffic by 5% to 30% as AI changes how audiences find information. The key takeaway is for nonprofits to focus on creating content with novelty, depth, and authenticity to stand out. Nonprofit Wellness Index: George and Nick introduce the Nonprofit Wellness Index, a metric tracking nonprofit sector health through digital ad spend, job listings, and volunteer opportunities. July's data indicated a slight downturn, which could suggest a seasonal trend or a broader economic slowdown. This index aims to offer insights into the sector's macro trends. Gates Foundation's Strategic Shift: The episode discusses the Gates Foundation's decision to end new grants to Arabella Advisors, a major player in progressive philanthropy. This move, potentially influenced by political pressures, reflects a broader trend of risk aversion in high-tier philanthropy, which could impact progressive causes. Feel-Good Spotlight: Health in the Hood, a nonprofit tackling food insecurity in Miami, is highlighted for its efforts in distributing 15,000 pounds of food monthly through urban gardens and large-scale distribution. This initiative addresses food deserts and supermarket redlining, providing essential nutrition to underserved communities. Insights and Recommendations: Nonprofits should leverage human creativity alongside AI tools, ensuring their content remains unique and engaging to maintain visibility and relevance in an AI-driven landscape. The Nonprofit Wellness Index serves as a valuable tool for organizations to track and respond to sector trends, helping them navigate economic fluctuations. Philanthropic organizations need to be aware of the political and economic environments influencing their strategies and partnerships.

Think your tech stack is working for you? Think again.  After analyzing 100 stacks from the CMO Huddles community, Ryan Koonce of Growth Bench exposes what's broken, what's bloated, and what to do instead. From misfiring attribution models to misused tools like Google Analytics and Salesforce, this episode offers a fast, practical reset for any CMO serious about smarter growth.  What You'll Learn:  Why Salesforce isn't always the answer  The fatal flaw in Google Analytics you can't ignore  The real reason attribution is still a mess  What “great” data access looks like for marketing teams  For the rest of the conversation, visit our YouTube channel (CMO Huddles Hub) or click here: [https://youtu.be/wRWHIrzsD68]. Get more insights like these by joining our free Starter program at cmohuddles.com.  For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

Your funnel metrics are probably wrong. Not slightly off, but completely wrong. You're using Google Analytics for everything, your visitor counts include people logging into existing accounts, and you have no idea what your real conversion rates look like. In this segment from our data workshop, Claudiu from Inner Trends walks through the technical infrastructure needed to track each stage of your go-to-market funnel correctly - from accurate visitor counts to defining trackable events for your first strike moment. Key Highlights: 01:32: Why most teams don't own activation (and who should) 04:47: The 3 stages of visitor tracking - from Google Analytics to first-party data 08:09: Why your product database beats all third-party tools for signup tracking 09:14: The minimum requirements rule for setup completion 12:37: How to technically define your first strike event 17:46 Benchmarks every SaaS company should track Stop guessing at your data setup. Use this technical framework to build accurate tracking that actually reveals where your funnel breaks down. Resources:

Nonprofits, your “10 blue links” era is over. In this episode, Avinash Kaushik (Human-Made Machine; Occam's Razor) breaks down Answer Engine Optimization—why LLMs now decide who gets seen, why third-party chatter outweighs your own site, and what to do about it. We get tactical: build AI-resistant content (genuine novelty + depth), go multimodal (text, video, audio), and stamp everything with real attribution so bots can't regurgitate you into sludge. We also cover measurement that isn't delusional—group your AEO referrals, expect fewer visits but higher intent, and stop worshiping last-click and vanity metrics. Avinash updates the 10/90 rule for the AI age (invest in people, plus “synthetic interns”), and torpedoes linear funnels in favor of See-Think-Do-Care anchored in intent. If you want a blunt, practical playbook for staying visible—and actually converting—when answers beat searches, this is it. About Avinash Avinash Kaushik is a leading voice in marketing analytics—the author of Web Analytics: An Hour a Day and Web Analytics 2.0, publisher of the Marketing Analytics Intersect newsletter, and longtime writer of the Occam's Razor blog. He leads strategy at Human Made Machine, advises Tapestry on brand strategy/marketing transformation, and previously served as Google's Digital Marketing Evangelist. Uniquely, he donates 100% of his book royalties and paid newsletter revenue to charity (civil rights, early childhood education, UN OCHA; previously Smile Train and Doctors Without Borders). He also co-founded Market Motive. Resource Links Avinash Kaushik — Occam's Razor (site/home) Occam's Razor by Avinash Kaushik Marketing Analytics Intersect (newsletter sign-up) Occam's Razor by Avinash Kaushik AEO series starter: “AI Age Marketing: Bye SEO, Hello AEO!” Occam's Razor by Avinash Kaushik See-Think-Do-Care (framework explainer) Occam's Razor by Avinash Kaushik Books: Web Analytics: An Hour a Day | Web Analytics 2.0 (author pages) Occam's Razor by Avinash Kaushik+1 Human Made Machine (creative pre-testing) — Home | About | Products humanmademachine.com+2humanmademachine.com+2 Tapestry (Coach, Kate Spade) (company site) Tapestry Tools mentioned (AEO measurement): Trakkr (AI visibility / prompts / sentiment) Trakkr Evertune (AI Brand Index & monitoring) evertune.ai GA4 how-tos (for your AEO channel + attribution): Custom Channel Groups (create an “AEO” channel) Google Help Attribution Paths report (multi-touch view) Google Help Nonprofit vetting (Avinash's donation diligence): Charity Navigator (ratings) Charity Navigator Google for Nonprofits — Gemini & NotebookLM (AI access) Announcement / overview | Workspace AI for nonprofits blog.googleGoogle Help Example NGO Avinash supports: EMERGENCY (Italy) EMERGENCY Transcript Avinash Kaushik: [00:00:00] So traffic's gonna go down. So if you're a business, you're a nonprofit, how. Do you deal with the fact that you're gonna lose a lot of traffic that you get from a search engine? Today, when all of humanity moves to the answer Engine W world, only about two or 3% of the people are doing it. It's growing very rapidly. Um, and so the art of answer engine optimization is making sure that we are building for these LMS and not getting stuck with only solving for Google with the old SEO techniques. Some of them still work, but you need to learn a lot of new stuff because on average, organic traffic will drop between 16 to 64% negative and paid search traffic will drop between five to 30% negative. And that is a huge challenge. And the reason you should start with AEO now ​ George Weiner: [00:01:00] This week's guest, Avinash Kaushik is an absolute hero of mine because of his amazing, uh, work in the field of web analytics. And also, more importantly, I'd say education. Avinash Kaushik, , digital marketing evangelist at Google for Google Analytics. He spent 16 years there. He basically is. In the room where it happened, when the underlying ability to understand what's going on on our websites was was created. More importantly, I think for me, you know, he joined us on episode 45 back in 2016, and he still is, I believe, on the cutting edge of what's about to happen with AEO and the death of SEO. I wanna unpack that 'cause we kind of fly through terms [00:02:00] before we get into this podcast interview AEO. Answer engine optimization. It's this world of saying, alright, how do we create content that can't just be, , regurgitated by bots, , wholesale taken. And it's a big shift from SEO search engine optimization. This classic work of creating content for Google to give us 10 blue links for people to click on that behavior is changing. And when. We go through a period of change. I always wanna look at primary sources. The people that, , are likely to know the most and do the most. And he operates in the for-profit world. But make no mistake, he cares deeply about nonprofits. His expertise, , has frankly been tested, proven and reproven. So I pay attention when he says things like, SEO is going away, and AEO is here to stay. So I give you Avan Kashic. I'm beyond excited that he has come back. He was on our 45th episode and now we are well over our 450th episode. So, , who knows what'll happen next time we talk to him. [00:03:00] This week on the podcast, we have Avinash Kaushik. He is currently the chief strategy officer at Human Made Machine, but actually returning guest after many, many years, and I know him because he basically introduced me to Google Analytics, wrote the literal book on it, and also helped, by the way. No big deal. Literally birth Google Analytics for everyone. During his time at Google, I could spend the entire podcast talking about, uh, the amazing amounts that you have contributed to, uh, marketing and analytics. But I'd rather just real quick, uh, how are you doing and how would you describe your, uh, your role right now? Avinash Kaushik: Oh, thank you. So it's very excited to be back. Um, look forward to the discussion today. I do, I do several things concurrently, of course. I, I, I am an author and I write this weekly newsletter on marketing and analytics. Um, I am the Chief Strategy Officer at Human Made Machine, a company [00:04:00] that obsesses about helping brands win before they spend by doing creative pretesting. And then I also do, uh, uh, consulting at Tapestry, which owns Coach and Kate Spades. And my work focuses on brand strategy and marketing transformation globally. George Weiner: , Amazing. And of course, Occam's Razor. The, the, yes, the blog, which is incredible. I happen to be a, uh, a subscriber. You know, I often think of you in the nonprofit landscape, even though you operate, um, across many different brands, because personally, you also actually donate all of your proceeds from your books, from your blog, from your subscription. You are donating all of that, um, because that's just who you are and what you do. So I also look at you as like team nonprofit, though. Avinash Kaushik: You're very kind. No, no, I, I, yeah. All the proceeds from both of my books and now my newsletter, premium newsletter. It's about $200,000 a year, uh, donated to nonprofits, and a hundred [00:05:00] percent of the revenue is donated nonprofit, uh, nonprofits. And, and for me, it, it's been ai. Then I have to figure out. Which ones, and so I research nonprofits and I look up their cha charity navigators, and I follow up with the people and I check in on the works while, while don't work at a nonprofit, but as a customer of nonprofits, if you will. I, I keep sort of very close tabs on the amazing work that these charities do around the world. So feel very close to the people that you work with very closely. George Weiner: So recently I got an all caps subject line from you. Well, not from you talking about this new acronym that was coming to destroy the world, I think is what you, no, AEO. Can you help us understand what answer engine optimization is? Avinash Kaushik: Yes, of course. Of course. We all are very excited about ai. Obviously you, you, you would've to live in. Some backwaters not to be excited about it. And we know [00:06:00] that, um, at the very edge, lots of people are using large language models, chat, GPT, Claude, Gemini, et cetera, et cetera, in the world. And, and increasingly over the last year, what you have begun to notice is that instead of using a traditional search engine like Google or using the old Google interface with the 10 blue links, et cetera. People are beginning to use these lms. They just go to chat, GPT to get the answer that they want. And the one big difference in this, this behavior is I actually have on September 8th, I have a keynote here in New York and I have to be in Shanghai the next day. That is physically impossible because it, it just, the time it takes to travel. But that's my thing. So today, if I wanted to figure out what is the fastest way. On September 8th, I can leave New York and get to Shanghai. I would go to Google flights. I would put in the destinations. It will come back with a crap load of data. Then I poke and prod and sort and filter, and I have to figure out which flight is right for that. For this need I have. [00:07:00] So that is the old search engine world. I'm doing all the work, hunting and pecking, drilling down, visiting websites, et cetera, et cetera. Instead, actually what I did is I went to charge GBT 'cause I, I have a plus I, I'm a paying member of charge GBT and I said to charge GBTI have to do a keynote between four and five o'clock on September 8th in New York and I have to be in Shanghai as fast as I possibly can be After my keynote, can you find me the best flight? And I just typed in those two sentences. He came back and said, this Korean airline website flight is the best one for you. You will not get to your destination on time until, unless you take a private jet flight for $300,000. There is your best option. They're gonna get to Shanghai on, uh, September 10th at 10 o'clock in the morning if you follow these steps. And so what happened there? I didn't have to hunt and pack and dig and go to 15 websites to find the answer I wanted. The engine found the [00:08:00] answer I wanted at the end and did all the work for me that you are seeing from searching, clicking, clicking, clicking, clicking, clicking to just having somebody get you. The final answer is what I call the, the, the underlying change in consumer behavior that makes answer engine so exciting. Obviously, it creates a challenge for us because what happened between those two things, George is. I didn't have to visit many websites. So traffic is going down, obviously, and these interfaces at the moment don't have paid search links for now. They will come, they will come, but they don't at the moment. So traffic's gonna go down. So if you're a business, you're a nonprofit, how. Do you deal with the fact that you're gonna lose a lot of traffic that you get from a search engine? Today, when all of humanity moves to the answer Engine W world, only about two or 3% of the people are doing it. It's growing very rapidly. Um, and so the art of answer engine optimization [00:09:00] is making sure that we are building for these LMS and not getting stuck with only solving for Google with the old SEO techniques. Some of them still work, but you need to learn a lot of new stuff because on average, organic traffic will drop between 16 to 64% negative and paid search traffic will drop between five to 30% negative. And that is a huge challenge. And the reason you should start with AEO now George Weiner: that you know. Is a window large enough to drive a metaphorical data bus through? And I think talk to your data doctor results may vary. You are absolutely right. We have been seeing this with our nonprofit clients, with our own traffic that yes, basically staying even is the new growth. Yeah. But I want to sort of talk about the secondary implications of an AI that has ripped and gripped [00:10:00] my website's content. Then added whatever, whatever other flavors of my brand and information out there, and is then advising somebody or talking about my brand. Can you maybe unwrap that a little bit more? What are the secondary impacts of frankly, uh, an AI answering what is the best international aid organization I should donate to? Yes. As you just said, you do Avinash Kaushik: exactly. No, no, no. This such a, such a wonderful question. It gets to the crux. What used to influence Google, by the way, Google also has an answer engine called Gemini. So I just, when I say Google, I'm referring to the current Google that most people use with four paid links and 10 SEO links. So when I say Google, I'm referring to that one. But Google also has an answer engine. I, I don't want anybody saying Google does is not getting into the answer engine business. It is. So Google is very much influenced by content George that you create. I call it one P content, [00:11:00] first party content. Your website, your mobile app, your YouTube channel, your Facebook page, your, your, your, your, and it sprinkles on some amount of third party content. Some websites might have reviews about you like Yelp, some websites might have PR releases about you light some third party content. Between search engine and engines. Answer Engines seem to overvalue third party content. My for one p content, my website, my mobile app, my YouTube channel. My, my, my, everything actually is going down in influence while on Google it's pretty high. So as here you do SEO, you're, you're good, good ranking traffic. But these LLMs are using many, many, many, literally tens of thousands more sources. To understand who you are, who you are as a nonprofit, and it's [00:12:00] using everybody's videos, everybody's Reddit posts, everybody's Facebook things, and tens of thousands of more people who write blogs and all kinds of stuff in order to understand who you are as a nonprofit, what services you offer, how good you are, where you're falling short, all those negative reviews or positive reviews, it's all creepy influence. Has gone through the roof, P has come down, which is why it has become very, very important for us to build a new content strategy to figure out how we can influence these LMS about who we are. Because the scary thing is at this early stage in answer engines, someone else is telling the LLMs who you are instead of you. A more, and that's, it feels a little scary. It feels as scary as a as as a brand. It feels very scary as I'm a chief strategy officer, human made machine. It feels scary for HMM. It feels scary for coach. [00:13:00] It's scary for everybody, uh, which is why you really urgently need to get a handle on your content strategy. George Weiner: Yeah, I mean, what you just described, if it doesn't give you like anxiety, just stop right now. Just replay what we just did. And that is the second order effects. And you know, one of my concerns, you mentioned it early on, is that sort of traditional SEO, we've been playing the 10 Blue Link game for so long, and I'm worried that. Because of the changes right now, roughly what 20% of a, uh, search is AI overview, that number's not gonna go down. You're mentioning third party stuff. All of Instagram back to 2020, just quietly got tossed into the soup of your AI brand footprint, as we call it. Talk to me about. There's a nonprofit listening to this right now, and then probably if they're smart, other organizations, what is coming in the next year? They're sitting down to write the same style of, you know, [00:14:00] ai, SEO, optimized content, right? They have their content calendar. If you could have like that, I'm sitting, you're sitting in the room with them. What are you telling that classic content strategy team right now that's about to embark on 2026? Avinash Kaushik: Yes. So actually I, I published this newsletter just last night, and this is like the, the fourth in my AEO series, uh, newsletter, talks about how to create your content portfolio strategy. Because in the past we were like, we've got a product pages, you know, the equivalent of our, our product pages. We've got some, some, uh, charitable stories on our website and uh, so on and so forth. And that's good. That's basic. You need to do the basics. The interesting thing is you need to do so much more both on first party. So for example, one of the first things to appreciate is LMS or answer engines are far more influenced by multimodal content. So what does that mean? Text plus [00:15:00] video plus audio. Video and audio were also helpful in Google. And remember when I say Google, I'm referring to the old linky linking Google, not Gemini. But now video has ton more influence. So if you're creating a content strategy for next year, you should say many. Actually, lemme do one at a time. Text. You have to figure out more types of things. Authoritative Q and as. Very educational deep content around your charity's efforts. Lots of text. Third. Any seasonality, trends and patterns that happen in your charity that make a difference? I support a school in, in Nepal and, and during the winter they have very different kind of needs than they do during the summer. And so I bumped into this because I was searching about something seasonality related. This particular school for Tibetan children popped up in Nepal, and it's that content they wrote around winter and winter struggles and coats and all this stuff. I'm like. [00:16:00] It popped up in the answer engine and I'm like, okay. I research a bit more. They have good stories about it, and I'm supporting them q and a. Very, very important. Testimonials. Very, very important interviews. Very, very important. Super, super duper important with both the givers and the recipients, supporters of your nonprofit, but also the recipient recipients of very few nonprofits actually interview the people who support them. George Weiner: Like, why not like donors or be like, Hey, why did you support us? What was the, were the two things that moved you from Aware to care? Avinash Kaushik: Like for, for the i I Support Emergency, which is a Italian nonprofit like Ms. Frontiers and I would go on their website and speak a fiercely about why I absolutely love the work they do. Content, yeah. So first is text, then video. You gotta figure out how to use video a lot more. And most nonprofits are not agile in being able to use video. And the third [00:17:00] thing that I think will be a little bit of a struggle is to figure out how to use audio. 'cause audio also plays a very influential role. So for as you are planning your uh, uh, content calendar for the next year. Have the word multimodal. I'm sorry, it's profoundly unsexy, but put multimodal at the top, underneath it, say text, then say video, then audio, and start to fill those holes in. And if those people need ideas and example of how to use audio, they should just call you George. You are the king of podcasting and you can absolutely give them better advice than I could around how nonprofits could use audio. But the one big thing you have to think about is multimodality for next year George Weiner: that you know, is incredibly powerful. Underlying that, there's this nuance that I really want to make sure that we understand, which is the fact that the type of content is uniquely different. It's not like there's a hunger organization listening right now. It's not 10 facts about hunger during the winter. [00:18:00] Uh, days of being able to be an information resource that would then bring people in and then bring them down your, you know, your path. It's game over. If not now, soon. Absolutely. So how you are creating things that AI can't create and that's why you, according to whom, is what I like to think about. Like, you're gonna say something, you're gonna write something according to whom? Is it the CEO? Is it the stakeholder? Is it the donor? And if you can put a attribution there, suddenly the AI can't just lift and shift it. It has to take that as a block and be like, no, it was attributed here. This is the organization. Is that about right? Or like first, first party data, right? Avinash Kaushik: I'll, I'll add one more, one more. Uh, I'll give a proper definition. So, the fir i I made 11 recommendations last night in the newsletter. The very first one is focus on creating AI resistant content. So what, what does that mean? AI resistant means, uh, any one of us from nonprofits could [00:19:00] open chat, GPT type in a few queries and chat. GD PT can write our next nonprofit newsletter. It could write the next page for our donation. It could create the damn page for our donation, right? Remember, AI can create way more content than you can, but if you can use AI to create content, 67 million other nonprofits are doing the same thing. So what you have to do is figure out how to build AI resistant content, and my definition is very simple. George, what is AI resistance? It's content of genuine novelty. So to tie back to your recommendation, your CEO of a nonprofit that you just recommended, the attribution to George. Your CEO has a unique voice, a unique experience. The AI hasn't learned what makes your CEO your frontline staff solving problems. You are a person who went and gave a speech at the United Nations on behalf of your nonprofit. Whatever you are [00:20:00] doing is very special, and what you have to figure out is how to get out of the AI slop. You have to get out of all the things that AI can automatically type. Figure out if your content meets this very simple, standard, genuine novelty and depth 'cause it's the one thing AI isn't good at. That's how you rank higher. And not only will will it, will it rank you, but to make another point you made, George, it's gonna just lift, blanc it out there and attribute credit to you. Boom. But if you're not genuine, novelty and depth. Thousand other nonprofits are using AI to generate text and video. Could George Weiner: you just, could you just quit whatever you're doing and start a school instead? I seriously can't say it enough that your point about AI slop is terrifying me because I see it. We've built an AI tool and the subtle lesson here is that think about how quickly this AI was able to output that newsletter. Generic old school blog post and if this tool can do it, which [00:21:00] by the way is built on your local data set, we have the rag, which doesn't pause for a second and realize if this AI can make it, some other AI is going to be able to reproduce it. So how are you bringing the human back into this? And it's a style of writing and a style of strategic thinking that please just start a school and like help every single college kid leaving that just GPT their way through a degree. Didn't freaking get, Avinash Kaushik: so it's very, very important to make sure. Content is of genuine novelty and depth because it cannot be replicated by the ai. And by the way, this, by the way, George, it sounds really high, but honestly to, to use your point, if you're a CEO of a nonprofit, you are in it for something that speaks to you. You're in it. Because ai, I mean nonprofit is not your path to becoming the next Bill Gates, you're doing it because you just have this hair. Whoa, spoiler alert. No, I'm sorry. [00:22:00] Maybe, maybe that is. I, I didn't, I didn't mean any negative emotion there, but No, I love it. It's all, it's like a, it's like a sense of passion you are bringing. There's something that speaks to you. Just put that on paper, put that on video, put that on audio, because that is what makes you unique. And the collection of those stories of genuine depth and novelty will make your nonprofit unique and stand out when people are looking for answers. George Weiner: So I have to point to the next elephant in the room here, which is measurement. Yes. Yes. Right now, somebody is talking about human made machine. Someone's talking about whole whale. Someone's talking about your nonprofit having a discussion in an answer engine somewhere. Yes. And I have no idea. How do I go about understanding measurement in this new game? Avinash Kaushik: I have. I have two recommendations. For nonprofits, I would recommend a tool called Tracker ai, TRA, KKR [00:23:00] ai, and it has a free version, that's why I'm recommending it. Some of the many of these tools are paid tools, but with Tracker, do ai. It allows you to identify your website, URL, et cetera, et cetera, and it'll give you some really wonderful and fantastic, helpful report It. Tracker helps you understand prompt tracking, which is what are other people writing about you when they're seeking? You? Think of this, George, as your old webmaster tools. What keywords are people using to search? Except you can get the prompts that people are using to get a more robust understanding. It also monitors your brand's visibility. How often are you showing up and how often is your competitor showing up, et cetera, et cetera. And then he does that across multiple search engines. So you can say, oh, I'm actually pretty strong in OpenAI for some reason, and I'm not that strong in Gemini. Or, you know what, I have like the highest rating in cloud, but I don't have it in OpenAI. And this begins to help you understand where your current content strategy is working and where it is not [00:24:00] working. So that's your brand visibility. And the third thing that you get from Tracker is active sentiment tracking. This is the scary part because remember, you and I were both worried about what other people saying about us. So this, this are very helpful that we can go out and see what it is. What is the sentiment around our nonprofit that is coming across in, um, in these lms? So Tracker ai, it have a free and a paid version. So I would, I would recommend using it for these three purposes. If, if you have funding to invest in a tool. Then there's a tool called Ever Tool, E-V-E-R-T-U-N-E Ever. Tune is a paid tool. It's extremely sophisticated and robust, and they do brand monitoring, site audit, content strategy, consumer preference report, ai, brand index, just the. Step and breadth of metrics that they provide is quite extensive, but, but it is a paid tool. It does cost money. It's not actually crazy expensive, but uh, I know I have worked with them before, so full disclosure [00:25:00] and having evaluated lots of different tools, I have sort of settled on those two. If it's a enterprise type client I'm working with, then I'll use Evert Tune if I am working with a nonprofit or some of my personal stuff. I'll use Tracker AI because it's good enough for a person that is, uh, smaller in size and revenue, et cetera. So those two tools, so we have new metrics coming, uh, from these tools. They help us understand the kind of things we use webmaster tools for in the past. Then your other thing you will want to track very, very closely is using Google Analytics or some other tool on your website. You are able to currently track your, uh, organic traffic and if you're taking advantage of paid ads, uh, through a grant program on Google, which, uh, provides free paid search credits to nonprofits. Then you're tracking your page search traffic to continue to track that track trends, patterns over time. But now you will begin to see in your referrals report, in your referrals report, you're gonna begin to seeing open [00:26:00] ai. You're gonna begin to see these new answer engines. And while you don't know the keywords that are sending this traffic and so on and so forth, it is important to keep track of the traffic because of two important reasons. One, one, you want to know how to highly prioritize. AEO. That's one reason. But the other reason I found George is syn is so freaking hard to rank in an answer engine. When people do come to my websites from Answer engine, the businesses I work with that is very high intent person, they tend to be very, very valuable because they gave the answer engine a very complex question to answer the answers. Engine said you. The right answer for it. So when I show up, I'm ready to buy, I'm ready to donate. I'm ready to do the action that I was looking for. So the percent of people who are coming from answer engines to your nonprofit carry significantly higher intention, and coming from Google, who also carry [00:27:00] intent. But this man, you stood out in an answer engine, you're a gift from God. Person coming thinks you're very important and is likely to engage in some sort of business with you. So I, even if it's like a hundred people, I care a lot about those a hundred people, even if it's not 10,000 at the moment. Does that make sense George? George Weiner: It does, and I think, I'm glad you pointed to, you know, the, the good old Google Analytics. I'm like, it has to be a way, and I, I think. I gave maximum effort to this problem inside of Google Analytics, and I'm still frustrated that search console is not showing me, and it's just blending it all together into one big soup. But. I want you to poke a hole in this thinking or say yes or no. You can create an AI channel, an AEO channel cluster together, and we have a guide on that cluster together. All of those types of referral traffic, as you mentioned, right from there. I actually know thanks to CloudFlare, the ratios of the amount of scrapes versus the actual clicks sent [00:28:00] for roughly 20, 30% of. Traffic globally. So is it fair to say I could assume like a 2% clickthrough or a 1% clickthrough, or even worse in some cases based on that referral and then reverse engineer, basically divide those clicks by the clickthrough rate and essentially get a rough share of voice metric on that platform? Yeah. Avinash Kaushik: So, so for, um, kind of, kind of at the moment, the problem is that unlike Google giving us some decent amount of data through webmaster tools. None of these LLMs are giving us any data. As a business owner, none of them are giving us any data. So we're relying on third parties like Tracker. We're relying on third parties like Evert Tune. You understand? How often are we showing up so we could get a damn click through, right? Right. We don't quite have that for now. So the AI Brand Index in Evert Tune comes the closest. Giving you some information we could use in the, so your thinking is absolutely right. Your recommendation is ly, right? Even if you can just get the number of clicks, even if you're tracking them very [00:29:00] carefully, it's very important. Please do exactly what you said. Make the channel, it's really important. But don't, don't read too much into the click-through rate bits, because we're missing the. We're missing a very important piece of information. Now remember when Google first came out, we didn't have tons of data. Um, and that's okay. These LLMs Pro probably will realize over time if they get into the advertising business that it's nice to give data out to other people, and so we might get more data. Until then, we are relying on these third parties that are hacking these tools to find us some data. So we can use it to understand, uh, some of the things we readily understand about keywords and things today related to Google. So we, we sadly don't have as much visibility today as we would like to have. George Weiner: Yeah. We really don't. Alright. I have, have a segment that I just invented. Just for you called Avanade's War Corner. And in Avanade's War Corner, I noticed that you go to war on various concepts, which I love because it brings energy and attention to [00:30:00] frankly data and finding answers in there. So if you'll humor me in our war corner, I wanna to go through some, some classic, classic avan. Um, all right, so can you talk to me a little bit about vanity metrics, because I think they are in play. Every day. Avinash Kaushik: Absolutely. No, no, no. Across the board, I think in whatever we do. So, so actually I'll, I'll, I'll do three. You know, so there's vanity metrics, activity metrics and outcome metrics. So basically everything goes into these three buckets essentially. So vanity metrics are, are the ones that are very easy to find, but them moving up and down has nothing to do with the number of donations you're gonna get as a nonprofit. They're just there to ease our ego. So, for example. Let's say we are a nonprofit and we run some display ads, so measure the number of impressions that were delivered for our display ad. That's a vanity metric. It doesn't tell you anything. You could have billions of impressions. You could have 10 impressions, doesn't matter, but it is easily [00:31:00] available. The count is easily available, so we report it. Now, what matters? What matters are, did anybody engage with the ad? What were the percent of people who hovered on the ad? What were the number of people who clicked on the ad activity metrics? Activity metrics are a little more useful than vanity metrics, but what does it matter for you as a non nonprofit? The number of donations you received in the last 24 hours. That's an outcome metric. Vanity activity outcome. Focus on activity to diagnose how well our campaigns or efforts are doing in marketing. Focus on outcomes to understand if we're gonna stay in business or not. Sorry, dramatic. The vanity metrics. Chasing is just like good for ego. Number of likes is a very famous one. The number of followers on a social paia, a very famous one. Number of emails sent is another favorite one. There's like a whole host of vanity metrics that are very easy to get. I cannot emphasize this enough, but when you unpack and or do meta-analysis of [00:32:00] relationship between vanity metrics and outcomes, there's a relationship between them. So we always advise people that. Start by looking at activity metrics to help you understand the user's behavior, and then move to understanding outcome metrics because they are the reason you'll thrive. You will get more donations or you will figure out what are the things that drive more donations. Otherwise, what you end up doing is saying. If I post provocative stuff on Facebook, I get more likes. Is that what you really wanna be doing? But if your nonprofit says, get me more likes, pretty soon, there's like a naked person on Facebook that gets a lot of likes, but it's corrupting. Yeah. So I would go with cute George Weiner: cat, I would say, you know, you, you get the generic cute cat. But yeah, same idea. The Internet's built on cats Avinash Kaushik: and yes, so, so that's why I, I actively recommend people stay away from vanity metrics. George Weiner: Yeah. Next up in War Corner, the last click [00:33:00] fallacy, right? The overweighting of this last moment of purchase, or as you'd maybe say in the do column of the See, think, do care. Avinash Kaushik: Yes. George Weiner: Yes. Avinash Kaushik: So when the, when the, when we all started to get Google Analytics, we got Adobe Analytics web trends, remember them, we all wanted to know like what drove the conversion. Mm-hmm. I got this donation for a hundred dollars. I got a donation for a hundred thousand dollars. What drove the conversion. And so what lo logically people would just say is, oh, where did this person come from? And I say, oh, the person came from Google. Google drove this conversion. Yeah, his last click analysis just before the conversion. Where did the person come from? Let's give them credit. But the reality is it turns out that if you look at consumer behavior, you look at days to donation, visits to donation. Those are two metrics available in Google. It turns out that people visit multiple times before [00:34:00] they make a donation. They may have come through email, their interest might have been triggered through your email. Then they suddenly remembered, oh yeah, yeah, I wanted to go to the nonprofit and donate something. This is Google, you. And then Google helps them find you and they come through. Now, who do you give credit Email or the Google, right? And what if you came 5, 7, 8, 10 times? So the last click fallacy is that it doesn't allow you to see the full consumer journey. It gives credit to whoever was the last person who sent you this, who introduced this person to your website. And so very soon we move to looking at what we call MTI, Multi-Touch Attribution, which is a free solution built into Google. So you just go to your multichannel funnel reports and it will help you understand that. One, uh, 150 people came from email. Then they came from Google. Then there was a gap of nine days, and they came back from Facebook and then they [00:35:00] converted. And what is happening is you're beginning to understand the consumer journey. If you understand the consumer journey better, we can come with better marketing. Otherwise, you would've said, oh, close shop. We don't need as many marketing people. We'll just buy ads on Google. We'll just do SEO. We're done. Oh, now you realize there's a more complex behavior happening in the consumer. They need to solve for email. You solve for Google, you need to solve Facebook. In my hypothetical example, so I, I'm very actively recommend people look at the built-in free MTA reports inside the Google nalytics. Understand the path flow that is happening to drive donations and then undertake activities that are showing up more often in the path, and do fewer of those things that are showing up less in the path. George Weiner: Bring these up because they have been waiting on my mind in the land of AEO. And by the way, we're not done with war. The war corner segment. There's more war there's, but there's more, more than time. But with both of these metrics where AEO, if I'm putting these glasses back on, comes [00:36:00] into play, is. Look, we're saying goodbye to frankly, what was probably somewhat of a vanity metric with regard to organic traffic coming in on that 10 facts about cube cats. You know, like, was that really how we were like hanging our hat at night, being like. Job done. I think there's very much that in play. And then I'm a little concerned that we just told everyone to go create an AEO channel on their Google Analytics and they're gonna come in here. Avinash told me that those people are buyers. They're immediately gonna come and buy, and why aren't they converting? What is going on here? Can you actually maybe couch that last click with the AI channel inbound? Like should I expect that to be like 10 x the amount of conversions? Avinash Kaushik: All we can say is it's, it's going to be people with high intention. And so with the businesses that I'm working with, what we are finding is that the conversion rates are higher. Mm. This game is too early to establish any kind of sense of if anybody has standards for AEO, they're smoking crack. Like the [00:37:00] game is simply too early. So what we I'm noticing is that in some cases, if the average conversion rate is two point half percent, the AEO traffic is converting at three, three point half. In two or three cases, it's converting at six, seven and a half. But there is not enough stability in the data. All of this is new. There's not enough stability in the data to say, Hey, definitely you can expect it to be double or 10% more or 50% more. We, we have no idea this early stage of the game, but, but George, if we were doing this again in a year, year and a half, I think we'll have a lot more data and we'll be able to come up with some kind of standards for, for now, what's important to understand is, first thing is you're not gonna rank in an answer engine. You just won't. If you do rank in an answer engine, you fought really hard for it. The person decided, oh my God, I really like this. Just just think of the user behavior and say, this person is really high intent because somehow [00:38:00] you showed up and somehow they found you and came to you. Chances are they're caring. Very high intent. George Weiner: Yeah. They just left a conversation with a super intelligent like entity to come to your freaking 2001 website, HTML CSS rendered silliness. Avinash Kaushik: Whatever it is, it could be the iffiest thing in the world, but they, they found me and they came to you and they decided that in the answer engine, they like you as the answer the most. And, and it took that to get there. And so all, all, all is I'm finding in the data is that they carry higher intent and that that higher intent converts into higher conversion rates, higher donations, as to is it gonna be five 10 x higher? It's unclear at the moment, but remember, the other reason you should care about it is. Every single day. As more people move away from Google search engines to answer engines, you're losing a ton of traffic. If somebody new showing up, treat them with, respect them with love. Treat them with [00:39:00] care because they're very precious. Just lost a hundred. Check the landing George Weiner: pages. 'cause you may be surprised where your front door is when complexity is bringing them to you, and it's not where you spent all of your design effort on the homepage. Spoiler. That's exactly Avinash Kaushik: right. No. Exactly. In fact, uh, the doping deeper into your websites is becoming even more prevalent with answer engines. Mm-hmm. Um, uh, than it used to be with search engines. The search always tried to get you the, the top things. There's still a lot of diversity. Your homepage likely is still only 30% of your traffic. Everybody else is landing on other homepage or as you call them, landing pages. So it's really, really important to look beyond your homepage. I mean, it was true yesterday. It's even truer today. George Weiner: Yeah, my hunch and what I'm starting to see in our data is that it is also much higher on the assisted conversion like it is. Yes. Yes, it is. Like if you have come to us from there, we are going to be seeing you again. That's right. That's right. More likely than others. It over indexes consistently for us there. Avinash Kaushik: [00:40:00] Yes. Again, it ties back to the person has higher intent, so if they didn't convert in that lab first session, their higher intent is gonna bring them back to you. So you are absolutely right about the data that you're seeing. George Weiner: Um, alright. War corner, the 10 90 rule. Can you unpack this and then maybe apply it to somebody who thinks that their like AI strategy is done? 'cause they spend $20 or $200 a month on some tool and then like, call it a day. 'cause they did ai. Avinash Kaushik: Yes, yes. No, it's, it's good. I, I developed it in context of analytics. When I was at my, uh, job at Intuit, I used to, I was at Intuit, senior director for research and analytics. And one of the things I found is people would consistently spend lots of money on tools in that time, web analytics tools, research tools, et cetera. And, uh, so they're spending a contract of a few hundred thousand dollars or hundreds of thousands of dollars, and then they give it to a fresh graduate to find insights. [00:41:00] I was like, wait, wait, wait. So you took this $300,000 thing and gave it to somebody. You're paying $45,000 a year. Who is young in their career, young in their career, and expecting them to make you tons of money using this tool? It's not the tool, it's the human. And so that's why I developed the the 10 90 rule, which is that if you have a, if you have a hundred dollars to invest in making smarter decisions, invest $10 in the tool, $90 in the human. We all have access to so much data, so much complexity. The world is changing so fast that it is the human that is going to figure out how to make sense of these insights rather than the tool magically spewing and understanding your business enough to tell you exactly what to do. So that, that's sort of where the 10 90 rule came from. Now, sort of we are in this, in this, um, this is very good for nonprofits by the way. So we're in this era. Where On the 90 side? No. So the 10, look, don't spend insane money on tools that is just silly. So don't do that. Now the 90, let's talk about the [00:42:00] 90. Up until two years ago, I had to spell all of the 90 on what I now call organic humans. You George Weiner: glasses wearing humans, huh? Avinash Kaushik: The development of LLM means that every single nonprofit in the world has access to roughly a third year bachelor's degree student. Like a really smart intern. For free. For free. In fact, in some instances, for some nonprofits, let's say I I just reading about this nonprofit that is cleaning up plastics in the ocean for this particular nonprofit, they have access to a p HT level environmentalist using the latest Chad GP PT 4.5, like PhD level. So the little caveat I'm beginning to put in the 10 90 rule is on the 90. You give the 90 to the human and for free. Get the human, a very smart Bachelor's student by using LLMs in some instances. Get [00:43:00] for free a very smart TH using the LLMs. So the LLMs have now to be incorporated into your research, into your analysis, into building a next dashboard, into building a next website, into building your next mobile game into whatever the hell you're doing for free. You can get that so you have your organic human. Less the synthetic human for free. Both of those are in the 90 and, and for nonprofit, so, so in my work at at Coach and Kate Spade. I have access now to a couple of interns who do free work for me, well for 20 minor $20 a month because I have to pay for the plus version of G bt. So the intern costs $20 a month, but I have access to this syn synthetic human who can do a whole lot of work for me for $20 a month in my case, but it could also do it for free for you. Don't forget synthetic humans. You no longer have to rely only on the organic humans to do the 90 part. You would be stunned. Upload [00:44:00] your latest, actually take last year's worth of donations, where they came from and all this data from you. Have a spreadsheet lying around. Dump it into chat. GPT, I'll ask it to analyze it. Help you find where most donations came from, and visualize trends to present to board of directors. It will blow your mind how good it is at do it with Gemini. I'm not biased, I'm just seeing chat. GPD 'cause everybody knows it so much Better try it with mistrial a, a small LLM from France. So I, I wanna emphasize that what has changed over the last year is the ability for us to compliment our organic humans with these synthetic entities. Sometimes I say synthetic humans, but you get the point. George Weiner: Yeah. I think, you know, definitely dump that spreadsheet in. Pull out the PII real quick, just, you know, make me feel better as, you know, the, the person who's gonna be promoting this to everybody, but also, you know, sort of. With that. I want to make it clear too, that like actually inside of Gemini, like Google for nonprofits has opened up access to Gemini for free is not a per user, per whatever. You have that [00:45:00] you have notebook, LLM, and these. Are sitting in their backyards for free every day and it's like a user to lose it. 'cause you have a certain amount of intelligence tokens a day. Can you, I just like wanna climb like the tallest tree out here and just start yelling from a high building about this. Make the case of why a nonprofit should be leveraging this free like PhD student that is sitting with their hands underneath their butts, doing nothing for them right now. Avinash Kaushik: No, it is such a shame. By the way, I cannot add to your recommendation in using your Gemini Pro account if it's free, on top of, uh, all the benefits you can get. Gemini Pro also comes with restrictions around their ability to use your data. They won't, uh, their ability to put your data anywhere. Gemini free versus Gemini Pro is a very protected environment. Enterprise version. So more, more security, more privacy, et cetera. That's a great benefit. And by the way, as you said, George, they can get it for free. So, um, the, the, the, the posture you should adopt is what big companies are doing, [00:46:00] which is anytime there is a job to be done, the first question you, you should ask is, can I make the, can an AI do the job? You don't say, oh, let me send it to George. Let me email Simon, let me email Sarah. No, no, no. The first thing that should hit your head is. I do the job because most of the time for, again, remember, third year bachelor's degree, student type, type experience and intelligence, um, AI can do it better than any human. So your instincts to be, let me outsource that kind of work so I can free up George's cycles for the harder problems that the AI cannot solve. And by the way, you can do many things. For example, you got a grant and now Meta allows you to run X number of ads for free. Your first thing, single it. What kind of ad should I create? Go type in your nonprofit, tell it the kind of things you're doing. Tell it. Tell it the donations you want, tell it the size, donation, want. Let it create the first 10 ads for you for free. And then you pick the one you like. And even if you have an internal [00:47:00] designer who makes ads, they'll start with ideas rather than from scratch. It's just one small example. Or you wanna figure out. You know, my email program is stuck. I'm not getting yield rates for donations. The thing I want click the button that called that is called deep research or thinking in the LL. Click one of those two buttons and then say, I'm really struggling. I'm at wits end. I've tried all these things. Write all the detail. Write all the detail about what you've tried and now working. Can you please give me three new ideas that have worked for nonprofits who are working in water conservation? Hmm. This would've taken a human like a few days to do. You'll have an answer in under 90 seconds. I just give two simple use cases where we can use these synthetic entities to send us, do the work for us. So the default posture in nonprofits should be, look, we're resource scrapped anyway. Why not use a free bachelor's degree student, or in some case a free PhD student to do the job, or at least get us started on a job. So just spending 10 [00:48:00] hours on it. We only spend the last two hours. The entity entity does the first date, and that is super attractive. I use it every single day in, in one of my browsers. I have three traps open permanently. I've got Claude, I've got Mistrial, I've got Charge GPT. They are doing jobs for me all day long. Like all day long. They're working for me. $20 each. George Weiner: Yeah, it's an, it, it, it's truly, it's an embarrassment of riches, but also getting back to the, uh, the 10 90 is, it's still sitting there. If you haven't brought that capacity building to the person on how to prompt how to play that game of linguistic tennis with these tools, right. They're still just a hammer on a. Avinash Kaushik: That's exactly right. That's exactly right. Or, or in your case, you, you have access to Gemini for nonprofits. It's a fantastic tool. It's like a really nice card that could take you different places you insist on cycling everywhere. It's, it's okay cycle once in a while for health reasons. Otherwise, just take the car, it's free. George Weiner: Ha, you've [00:49:00] been so generous with your time. Uh, I do have one more quick war. If you, if you have, have a minute, uh, your war on funnels, and maybe this is not. Fully fair. And I am like, I hear you yelling at me every time I'm showing our marketing funnel. And I'm like, yeah, but I also have have a circle over here. Can you, can you unpack your war on funnels and maybe bring us through, see, think, do, care and in the land of ai? Avinash Kaushik: Yeah. Okay. So the marketing funnel is very old. It's been around for a very long time, and once I, I sort of started working at Google, access to lots more consumer research, lots more consumer behavior. Like 20 years ago, I began to understand that there's no such thing as funnel. So what does the funnel say? The funnel says there's a group of people running around the world, they're not aware of your brand. Find them, scream at them, spray and pray advertising at them, make them aware, and then somehow magically find the exact same people again and shut them down the fricking funnel and make them consider your product.[00:50:00] And now that they're considering, find them again, exactly the same people, and then shove them one more time. Move their purchase index and then drag them to your website. The thing is this linearity that there's no evidence in the universe that this linearity exists. For example, uh, I'm going on a, I like long bike rides, um, and I just got thirsty. I picked up the first brand. I could see a water. No awareness, no consideration, no purchase in debt. I just need water. A lot of people will buy your brand because you happen to be the cheapest. I don't give a crap about anything else, right? So, um, uh, uh, the other thing to understand is, uh, one of the brands I adore and have lots of is the brand. Patagonia. I love Patagonia. I, I don't use the word love for I think any other brand. I love Patagonia, right? For Patagonia. I'm always in the awareness stage because I always want these incredible stories that brand ambassadors tell about how they're helping the environment. [00:51:00] I have more Patagonia products than I should have. I'm already customer. I'm always open to new considerations of Patagonia products, new innovations they're bringing, and then once in a while, I'm always in need to buy a Patagonia product. I'm evaluating them. So this idea that the human is in one of these stages and your job is to shove them down, the funnel is just fatally flawed, no evidence for it. Instead, what you want to do is what is Ash's intent at the moment? He would like environmental stories about how we're improving planet earth. Patagonia will say, I wanna make him aware of my environmental stories, but if they only thought of marketing and selling, they wouldn't put me in the awareness because I'm already a customer who buys lots of stuff from already, right? Or sometimes I'm like, oh, I'm, I'm heading over to London next week. Um, I need a thing, jacket. So yeah, consideration show up even though I'm your customer. So this seating do care is a framework that [00:52:00] says, rather than shoving people down things that don't exist and wasting your money, your marketing should be able to discern any human's intent and then be able to respond with a piece of content. Sometimes that piece of content in an is an ad. Sometimes it's a webpage, sometimes it's an email. Sometimes it's a video. Sometimes it's a podcast. This idea of understanding intent is the bedrock on which seat do care is built about, and it creates fully customer-centric marketing. It is harder to do because intent is harder to infer, but if you wanna build a competitive advantage for yourself. Intent is the magic. George Weiner: Well, I think that's a, a great point to, to end on. And again, so generous with, uh, you know, all the work you do and also supporting nonprofits in the many ways that you do. And I'm, uh, always, always watching and seeing what I'm missing when, um, when a new, uh, AKA's Razor and Newsletter come out. So any final sign off [00:53:00] here on how do people find you? How do people help you? Let's hear it. Avinash Kaushik: You can just Google or answer Engine Me. It's, I'm not hard. I hard to find, but if you're a nonprofit, you can sign up for my newsletter, TMAI marketing analytics newsletter. Um, there's a free one and a paid one, so you can just sign up for the free one. It's a newsletter that comes out every five weeks. It's completely free, no strings or anything. And that way I'll be happy to share my stories around better marketing and analytics using the free newsletter for you so you can sign up for that. George Weiner: Brilliant. Well, thank you so much, Avan. And maybe, maybe we'll have to take you up on that offer to talk sometime next year and see, uh, if maybe we're, we're all just sort of, uh, hanging out with synthetic humans nonstop. Thank you so much. It was fun, George. [00:54:00]

In this episode, I'm diving deep into one of the most important topics for veterinary practice owners and managers as we head into 2025: how to build a predictable, measurable, and scalable client acquisition system. If you've been feeling the pressure from economic uncertainty, changing pet owner behaviors, and the ever-growing competition from corporate groups, you're not alone. I know firsthand how stressful it can be when your appointment book is packed one week and then unexpectedly quiet the next. The days of “if you build it, they will come” are long gone, and it's time to get proactive about filling your schedule with the right clients. In this episode, I break down the three pillars that every modern veterinary practice needs to thrive: targeting, tracking, and scalability. I'll walk you through how to identify and attract your ideal clients—those who truly value your services and fit your practice culture — using data from your PIMS and advanced targeting tools. We'll talk about how to make your marketing efforts measurable, so you know exactly which campaigns are driving results (and which ones aren't), using tools like call tracking, UTM parameters, and Google Analytics. And most importantly, I'll share strategies for scaling your client acquisition so you can grow your practice predictably, avoid the feast-or-famine cycle, and respond quickly to slow periods with confidence. Whether you're just starting to build your marketing system or looking to refine what you already have, I'll also cover common pitfalls to avoid — like overcomplicating your campaigns, relying on gut feelings instead of data, and missing out on key tracking opportunities. By the end of this episode, you'll have actionable steps to audit and improve your client acquisition process, plus expert recommendations to help you future-proof your practice. So grab a notebook, tune in, and let's get your veterinary practice set up for measurable, sustainable growth in 2025 and beyond!

Welcome to the Success With Jewelry podcast, hosted by Laryssa Wirstiuk and Liz Kantner, two experts passionate about helping independent jewelry artists thrive. In Episode #138, we're diving into a powerful (but sometimes intimidating!) marketing tool: Google Analytics. Whether you've set it up or not, we're breaking it down in a super accessible way—no tech jargon required. You'll learn how to start making smarter, data-informed decisions about your marketing efforts.

The podcast excerpt focuses on strategic email marketing for local businesses, aiming to boost revenue by enhancing online visibility. It highlights the importance of understanding search competitors, utilizing Google Search Console and Google Business Profile for SEO, and consistently engaging with audiences through valuable, non-sales-focused content. The discussion also touches on the synergy between AI tools like ChatGPT and traditional search engines, emphasizing that contextual relevance in communication is key to driving both audience engagement and financial growth. Favour offers practical advice, such as using QR codes at physical locations to convert foot traffic into online leads and segmenting email lists to cater to specific audience needs.

In this episode of Five Minute Friday, we're continuing our Know Your Numbers series by highlighting one of the most powerful tools in your retail business: conversion rate. Your conversion rate isn't just a performance stat—it's your daily truth teller. When you track it consistently, it helps you identify whether you need more traffic or better in-store or online performance to grow your sales.

88% of potential donors ABANDON donation forms mid-click! If you are driving traffic to your donation page only to watch donors disappear, you may have a conversion problem. But don't worry - I'll help you close the “conversion gap” and reimagine the donor experience.In this episode, I'll walk you through 4 strategic donation page formats, when to use each, and how to analyze your Google Analytics data to diagnose mobile drop-offs, funnel performance, and campaign effectiveness. Whether you're sending paid traffic to a Giving Tuesday campaign or trying to capture a donor mid-blog post, these tips and tricks will help you match the format to the moment, reduce friction, and finally fix the page that's costing you the most.Resources & LinksCheck out iDonate's blog, The 4 Types of Online Donation Experiences (and How to Use Them to Convert More Donors). This show is brought to you by iDonate. Your donation page is leaking donors, and iDonate's new pop-up donation form is here to fix that. See it in action. Launch the interactive demo here and experience how a well-timed form captures donors in the moment they care most. Let's Connect! Send a DM on Instagram or LinkedIn and let us know what you think of the show! My book, The Monthly Giving Mastermind, is here! Grab a copy here and learn my framework to build, grow, and sustain subscriptions for good. Want to book Dana as a speaker for your event? Click here!

Before you kick off your next website project, take a beat—because there's a lot you can do ahead of time to make the process smoother, more strategic, and ultimately more successful. To wrap up Season 4 of The Shortlist, Wendy Simmons is joined by Kyle Davis and Lauren Jane Peterson to break down the things you should tackle before your website project officially begins.They walk through practical steps like confirming your Google Analytics setup, gathering project descriptions and photos, and doing a little web-stalking of sites you admire. Plus, they emphasize the importance of aligning your brand messaging and having up-to-date photography, bios, and team headshots on hand before you dive into the actual website build.Whether you're just dreaming about a new website or have your kick-off on the schedule, these tips will help you plan more effectively, streamline content collection, and get stakeholder buy-in. Trust us, your future self will thank you for the prep work.CPSM CEU Credits: 0.5 | Domain: 2

 Phillipa Games, has spent more than 25 years swimming in the deep end of digital strategy and analytics. With experience across nearly 500 clients and websites that have brought in hundreds of millions of dollars, Phillipa has seen it all from the good, to the bad, and the wildly overlooked. In this conversation, we peeled back the curtain on website analytics, not the overwhelming, chart-filled dashboard version, but the real, human-centered data that tells the story of what your customers are doing (and not doing) on your site. If you  who would rather schedule a root canal than log into Google Analytics, this episode is your guide to looking at just the data that matters and learning to use it to make smarter decisions.   Key Discussion Points: Why most business owners avoid their analytics dashboards (and why that's a mistake) What to track first — hint: it's not bounce rate The real value in knowing if anyone actually sees your call-to-action Why long, scrolling pages might be quietly killing your conversions How your internal site search can reveal new service and product opportunities Actionable Takeaways: Start with your business goals, not your metrics. Analytics are only helpful if you know what you're trying to achieve. Define what success looks like before diving into data. Every page needs a call to action. Don't leave visitors guessing. Tell them what the next step is — and test different formats and placements to see what works. Don't bury your offer Long pages may look modern, but if your CTA is stuck at the bottom, many visitors will never see it. Move it up the page, and repeat it on the bottom.  Use internal search as market research. The words people type into your site's search box can reveal what they expect you to offer — and what you might consider offering next. Watch where they drop off. If your audience isn't finishing your videos or podcast episodes, take a hard look at how you open. You may be losing them in the first 15 seconds. 

If you think your “pretty” website alone is enough to bring patients through your doors, think again. Dental marketing today is more complex—and more critical—than ever. From SEO secrets and Google Ads strategy to why your website might be quietly sabotaging your practice growth, this episode is your blueprint for smarter marketing decisions. Dentists, this is one you can't afford to miss. On today's episode of the Raving Patients Podcast, I'm diving deep into the world of dental marketing with two incredible guests from Gargle—Brandie Lamprou, VP of Corporate and Sales Development, and Cassidy Turley, Partnerships and Lead Generation Manager. If you've ever wondered: ✅ Is my website really helping me rank and convert patients—or just sitting there looking pretty? ✅ Why is SEO a must-have and how do I stand out when the dentist down the street is doing it too? ✅ Are Google Ads worth the investment for general new patients—or should I be targeting high-value procedures? ✅ What's the real deal with Google Analytics and why should you demand access to your own data? ✅ When should a practice consider running ads, and when should you hold off? …then you're in the right place. — Key Takeaways 00:44 Introduction and Event Announcement 01:50 Meet the Guests: Brandy and Cassidy from Gargle 03:48 Understanding Gargle's Role in Dental Marketing 05:52 The Importance of a Strong Website 07:52 SEO: The Key to Online Visibility 15:00 The Role of Google Ads in Dental Marketing 18:20 Determining the Right Marketing Budget 20:39 When to Start Using Ads 23:40 The Importance of a Solid Foundation 25:41 Secrets to Ranking Higher on Google Maps 27:00 Updating Your Website: Best Practices 29:18 User Experience: The Digital Waiting Room 30:45 The All-in-One Marketing Approach of Gargle 32:15 Lightning Round Q&A 36:15 Conclusion and Free Marketing Assessment Offer —  Connect with Gargle Phone: 888‑842‑7453 Email: info@gargle.com Website: www.gargle.com — Learn proven dental marketing strategies and online reputation management techniques at DrLenTau.com. This podcast is sponsored by Dental Intelligence. Learn more here. This podcast is sponsored by CallRail, call tracking & lead conversion software for dentists. Find out more here. Raving Patients Podcast is your go-to place for the latest and best dental marketing strategies that will help you skyrocket your practice. Follow us for more!  

In this high-velocity, truth-telling episode, Erin and Ken sit down with data scientist, author, and newsletter legend Christopher Penn to cut through the noise and the slop around AI and go-to-market. Chris breaks down how today's AI isn't solely about scale or speed it's about whether your thinking actually changes how people lead. From RAGs and reporting frameworks to the future of SaaS, software, and your own job, this conversation pulls zero punches.

In Episode 85 of the Digital Velocity Podcast, Erik Martinez sits down with Pat Barry, President of demystifAI and a seasoned data scientist, to tackle one of the thorniest challenges in modern marketing: how to measure and forecast performance in a world full of fragmented data. From McDonald's digital tracking systems to direct-to-consumer (DTC) marketing attribution puzzles, Pat shares his cross-industry experiences using AI and synthetic data to fill in gaps, build more accurate forecasts, and drive smarter decision-making. They unpack the often-misunderstood limitations of Google Analytics, the data blind spots caused by Safari, cookies, and ad blockers, and the growing role of generative AI in turning incomplete data into actionable intelligence. Whether you're a CMO building next year's budget or a performance marketer struggling with conflicting reports, this episode offers deep insights into: • Why most digital data is not as accurate as you think—and how to manage it • How synthetic data can simulate realistic scenarios for forecasting and strategy • Ways to test AI-generated forecasts for precision using statistical models • What every DTC brand must know about attribution, consent loss, and multi-device journeys Tune in to learn how to use AI as your data 'time machine'—not just for insights, but for impact. Contact Pat: demystifAI - Company Website LinkedIn - demystifAI LinkedIn - personal

In episode 708, Megan chats to Hanelore Dumitrache and Mariska Ramondino about using artificial intelligence to streamline workflows, understand your audience, and create a more impactful blogging business. Hanelore Dumitrache Hanelore Dumitrache is a food blogger, tech entrepreneur, AI educator and author. Her work tries to bridge the gap between technology and the blogging world. As the founder of Whimzi AI, she's currently developing AI-driven tools for food bloggers and content creators. Her food blog SugarYums focuses on East Asian street food and desserts.  Mariska Ramondino Mariska Ramondino is an international fiscal tax lawyer turned business consultant and now a food blogger with a consulting business on the side. Through her blog, she shares her passion for nutritious home-cooked meals and a more balanced lifestyle. She also offers writing and consulting services for fellow bloggers. Additionally, Mariska is a partner and co-founder of Whimzi AI, a tech-driven company providing custom AI solutions and AI-powered analytics for food bloggers. In this episode, you'll learn how to harness the power of AI to save time, make data-driven decisions, and deliver better user experiences on your blog. Hanelore and Mariska share their favorite strategies, tools, and mindset shifts to help you move past fear and use AI to grow a smarter, more efficient blogging business. Key points discussed include: - AI isn't a threat—it's an opportunity: Embracing AI can help food bloggers develop more well-rounded businesses and better serve their audiences. - Start by identifying what you don't love doing: Use AI to take over repetitive or tedious tasks like writing pin descriptions, social captions, or analyzing data. - Analyze your data with ease: ChatGPT can interpret your Google Analytics and ad reports to surface trends, content gaps, and monetization opportunities. - Build authority through topic clusters: Use AI to identify your strongest-performing content and build strategic clusters to boost topical authority and improve EEAT. - Use reader questions to fuel content ideas: Input comments and questions from your blog or social media into ChatGPT to identify missing content or new recipe opportunities. - Incorporate AI into your workflow as a virtual team: Assign AI roles like content strategist, SEO assistant, or copywriter to streamline weekly blog tasks. - Set and stick to your goals with AI support: Use AI to map out your time, reset your mindset, and stay accountable to your personal and business goals. Connect with Hanelore Dumitrache Website | Instagram Connect with Mariska Ramondino Website | Instagram