Podcasts about pmax

Sponsored by Nice Girls Win https://www.amazon.com/Nice-Girls-Win-Create-Deserve/dp/B0H8S2H7JC/ref=sr_1_1?crid=387LHIK1YA7IK&dib=eyJ2IjoiMSJ9.KDuAsqdk0_19R2v77dhuxr_rh7pkQCpECBzXVfjaGYXGjHj071QN20LucGBJIEps.B_m5YYlgSmBmUFGniJ8Z9ZHwjq-xN-4_TMbHeyPhX0k&dib_tag=se&keywords=nice+girls+win+kelly+ehlers&qid=1784841714&sprefix=nice+girls+win%2Caps%2C168&sr=8-1  Interview with Terra Harvell Terra Harvell is the Founder and CEO of Harper Ellis Hair Co., an 8-figure beauty brand built on helping stylists create profitable, sustainable careers through premium hair extensions, education, and business strategy. After starting her career behind the chair as a young adult,, she became passionate about closing the gap between technical talent and long-term financial success. Today, through Harper Ellis Hair Co., Strata Salon Systems, and her advocacy for cosmetology education reform, Harvell is working to help salon owners and stylists build stronger businesses, develop leadership skills, and create lasting wealth. Links: https://www.harperellishair.com/?https://www.harperellishair.com/?utm_source=Google&utm_medium=cpc&utm_campaign=HEHCPmax&utm_id=PaidSearch&utm_term=Pmax&utm_content=Pmax&tw_source=google&tw_adid=&tw_campaign=21023658122&tw_kwdid=&utm_term=&utm_campaign=Performance+Max:+Shopping&utm_source=adwords&utm_medium=ppc&hsa_acc=3408780491&hsa_cam=21023658122&hsa_grp=&hsa_ad=&hsa_src=x&hsa_tgt=&hsa_kw=&hsa_mt=&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=21016827504&gbraid=0AAAAAqmVu2iVelH2XLXRDDwqL26k676lc&gclid=CjwKCAjwhZDUBhBGEiwAbi5bji0chrh2eqzcA-0BTX2aIWBINhvKt55zdxaOUzp8hawxzxjEn2sScBoCTMcQAvD_BwE https://www.instagram.com/theterraharvell/?hl=en https://terraharvell.com/  News from TheTease.com: https://www.thetease.com/marissa-machado-gave-each-jonas-brother-a-signature-look-for-the-camp-rock-3-world-premiere/ Obsessed or Over It? Sterling Point Textured Hair Inspo Tumble Hair Alabama Rush More from TheTease.com   Instagram: https://www.instagram.com/readthetease/ (readthetease) Instagram: https://www.instagram.com/volumeupbythetease/ (volumeupbythetease) Instagram: https://www.instagram.com/kellyehlers/ / (KellyEhlers) Instagram: https://www.instagram.com/eljeffreycraig/ (eljeffreycraig) Web: https://www.thetease.com (TheTease.com) Email: VolumeUp@TheTease.com   Credits: Volume Up is a Tease Media production. This episode was produced by Monica Hickey and Madeline Hickey. James Arbaje is our editor and audio engineer. Thank you to our creative team for putting together the graphics for this episode.   Thank you to the team who helped create our theme song. Show them some love and check out their other work! •Josh Landowski https://www.instagram.com/josh_landowski/

Sheldon Poon, Founder of Drive Marketing, helps established brands go from Wholesale to D2C through performance-driven advertising grounded in data, technology, and human expertise. He is driven to build a company that reflects his values—one where people enjoy their work, have flexibility and autonomy, and continuously learn from and teach one another. In this conversation, Sheldon introduces The A.I.D.A. Framework—Attention, Interest, Desire, and Action. He explains how businesses can eliminate friction across the customer journey, use clean data to improve AI-powered campaigns, and balance automation with human strategy. Sheldon also discusses why genuine relationships are driving B2B growth, how AI is reshaping internships and early-career development, and how Drive Marketing helps successful wholesale brands build direct customer relationships without jeopardizing their valuable retail partnerships — Go from Wholesale to D2C with Sheldon Poon  Good day, listeners. Today, I have Sheldon Poon as our guest. He’s the Founder of Drive Marketing, a Montreal-based paid ad agency specializing in performance-driven marketing with a heavy emphasis on using data to make informed strategic decisions. Founded in 2013, Drive Marketing positions themselves as a technical-first partner that bridges the gap between business goals and technical execution. So they’re not a creative agency. They are a technical agency improving your ads. Sheldon, welcome to the show.  Yeah, thanks for having me, Steve. I’m happy to be here. Yeah. Great to have you here. And my first question is, what is your personal why, and how are you manifesting it in the business? How are you contributing to human flourishing?  That’s a very big question for a small ad agency.  It is.  Yeah. So when I first started the company, I kind of, like a lot of entrepreneurs, right, it came from me kind of looking at my life and where I was in my career and kind of getting frustrated at what I was seeing with my day-to-day job. So I was in a very, very privileged position. I was able to take a bit of a sabbatical from my day job where they held my position, which was great, because if everything went downhill, I could always just jump back to my job.  And I was like, “You know what? Like, I have an opportunity here. I’ve always wanted to start a business.” But because I had been working for somebody else for almost, at that point, I think like a decade and a half, I had a lot of experience, and I saw a lot of things that I was like, “This is what I don’t want.” So when I started my company, my internal mission and vision was to build the company that I would want to work at, to build the company that is kind of true to myself and my values, and something that I would enjoy going into day to day.Share on X And then what does all that mean? So the company that I wanted to work at, as I started working and hiring people, what I found was I wanted to have flexibility in my schedule. We treat everybody on the team as an adult. Everybody’s responsible for their workload. And as long as they meet their deadlines, I don’t care when you’re clocking in, clocking out. I’m a night owl. I like working till like midnight, 1:00 a.m. I don’t like doing mornings, so I’m often coming into the office late.  A lot of my team are doing the same thing. Some of them are early risers, and they like to leave early to have their afternoon free. So as long as everybody’s more or less—everybody’s on top of their tasks and more or less working during the day so that we can have our interactions and meetings, that’s perfectly fine. Another thing I think that's core to what I wanted to build was that I've always been very passionate about learning and teaching. In another life, I was teaching high school.Share on X  And when I started building the company, one of the things that we made very clear when we’re hiring is that everybody on the team learns because they’re passionate about what we’re doing. And everybody on the team teaches. Even if you’re just an intern coming in, we need to know your perspective because you’ll have a different perspective than me, who’s been doing this for like two decades, where I’m kind of blind to maybe some of the newer stuff that’s happening or some of the stuff that’s like on the ground.  And I want to know when I talk to our interns, when I talk to our juniors, like, “Hey, guys, what are you seeing?” Like, you guys are—you guys are like 20 years younger than me in some cases. Like, I want to know what’s going on with the kids. My personal, like, kind of like personal why of this is that it’s not so much about the end goal. I want to make sure that I enjoy my day-to-day, I enjoy what we do, and I’m not going to pull my hair out going into the office. So, like, I think we built something where everybody on the team is excited to work on stuff because they’re doing the work that they would want to be working on.  They’re learning the stuff that they would want to be learning, and then they get to implement it in a way that is impactful for the company, for the client, for what we’re doing. And my challenge as a leader is to figure out, okay, how do we take that exciting stuff and make it so that it generates money for the company so that we can all continue doing this? Yeah, this is very inspirational. I love it. You’re tapping into people’s curiosity, desire. I like the learning organization idea as well. So do you have a framework for this? Because this podcast is all about frameworks.  Yes.  How can someone create something like that? What are the steps to create it?  So it’s not one framework. Like I said, I’m very passionate about a lot of different topics, and one of the things that’s a personal interest of mine is just business. So, like, looking at business case studies, and from that you start seeing what works and what doesn’t. It’s a lot of different frameworks kind of layered on top of each other for various reasons. For the practical ad side, what we do for our clients strategically, there's a framework there that we like to use called AIDA. So attention, interest, desire, action.Share on X  Very standard funnel. The idea is that the reason we like using this is because when you break down the customer journey, this process is just logical. It’s been proven time and time again. If you’re going into Marketing or Business 101, this is one of the first things that you’re going to learn about. Like, what is a funnel? A funnel is, you know, the client’s never heard of you before, and you do something to grab their attention.  Now they’ve heard of you, but that’s not enough. You have to have many touch points, and you have to build interest. So, like, once they’ve heard about you, you got to make sure that it’s a good fit and they’re interested in the pain point or the thing that you’re fixing for them in their lives. And then if you hit them up with that interest message often enough, they’ll start imagining how their life is better with your product or service, and that creates desire. And then once you continue hitting them up at desire, as long as you don’t have any friction between the desire piece and the final call to action, then you’ll get that action at the bottom.  And the thing that people talk about, like, there’s a lot of people that talk about this framework, but I don’t think they’ve studied it properly. Because when you actually look at the history of it, this framework was first introduced in 1898 in a magazine that was talking about ads. This framework arguably predates the term marketing. And when you think about how that framework looks in modern day, it’s changed a lot, right?  When you were running ads in the early 1900s, you could get away with saying whatever the heck you wanted and making whatever wild promises just to get people’s attention. The way that you did it was you maybe had, like, some sort of print or some sort of, like, literally talking to people, getting them to show up to a convention or an expo back in the day, and having those interactions with their audience.  Fast-forward over 100 years, and it looks very different how you grab attention today. Paid ads. People talk about SEO. People talk about viral content. It’s very much changed. What hasn’t changed is the framework. So what that tells us is that human behavior, right? So the framework is based on human psychology: attention, interest, desire. These are all things that are, like, within the human experience. That has not changed. What’s changed is the other end. The technology has changed, so how you implement that.  So the strategy is still the AIDA that we use, right? But our tactics are constantly changing. Now we’re looking at AI. The new thing about ads is that Google just announced that they’ve added an extra option next to PMax, which is the AI option, so that you can actually start showing up in Gemini. So now this has changed our tactics. But our strategy is still based on this human psychology. That's the framework over on kind of the front end.Share on X And then, like I said, we have a bunch of other frameworks. I don’t know how much you want me to get into it, but for hiring, for internal processes, for all sorts of things.  Yeah. No, no, no. I love it. I love the AIDA. It’s been a long time I heard about it, and I love the simplicity of it, and I think it still works. So you mentioned something that really interests me. You said that you grab the attention, interest, building the desire, and as long as there’s no friction in the desire, then you’re going to get—the call to action is going to work. So what do you mean friction, and give me some examples of what it could look like.  So when you’re talking about AIDA and you’re talking about funnels, especially when you’re talking about online, it’s all very, very quick, right? So there’s a couple of terms here. So when you’re at top of funnel, your main thing is—it’s called a funnel because at the top it’s very, very wide in terms of the audience you want to hit up, and you want to try to get out to as many people as possible. So a lot of people, when they’re thinking of marketing, they’re thinking of the top of funnel, whether they realize it or not.  Further down is you’re trying to get a more complex message across. So the practical way to think about it is at the top you’re trying to run ads that’s just very flashy and getting people to stop the scroll. So if they’re on Instagram or something, you literally want them to stop, and you want them to read a quick thing that gets them to click. Once they’ve clicked on it, they’re ending up on a landing page, and that landing page has information that hopefully connects to the audience in a meaningful way, and they’re interested in reading more.  An example of friction would be if you click on an ad that’s purple, and then you end up on a landing page that’s black and white or red. That difference in color, that difference in style creates a friction point that psychologically, it makes the person pause and go, “Wait, did I just end up on the wrong page?” So when you have, like, a very close alignment between each of those levels, it reduces the friction and increases the chances that people will go down.  So the most important friction point that people need to be aware of is, like I just talked about the top of funnel, the opposite end, the bottom of funnel, is where there's the highest intent.Share on X So you can imagine at the top of funnel, because people have never heard of you before, their intention to buy from you is probably very low or very limited because they don’t know you yet. But once you’ve done all that work to get to know them and create a relationship with the brand, you’re at the bottom of funnel, and that point is critical.  You need to make sure that by the time you’ve warmed them up and everything’s ready to go and the target person is very interested in taking that final step, that somebody else doesn’t come and grab them. For example, like, the very real-world example. If you think about some of the biggest marketing companies in the world, so let’s take McDonald’s and Burger King as examples, right? Because everybody knows those brands. If McDonald’s has taken so much effort to be on billboards and be in front of you, and you’ve seen the brand and you know it, and you’re walking down the street and you’re hungry, and then at that moment of intent, as you’re walking around downtown, you’re like, “I could go for a quick burger right now,” and you know that you’re looking for a McDonald’s, but as you’re walking, you come across a Burger King, you’re like, “Yeah, that’s close enough.”  And then you’re going to walk into the Burger King and do the transaction there. Online, what that looks like is when somebody is doing that final search. So let’s say Summit OS is selling T-shirts, and you’ve done a bunch of work and people love the brand and they’re looking for a specific type of T-shirt that you sell, but they can’t remember quite exactly what it is. They’re like, “Oh, I think it was Summit OS something T-shirt.” And then when they type that in, somebody else’s sponsored ad comes up.  Well, now they probably grabbed that traffic that you took all that time to warm up. If you end up on the landing page, when you scroll down to the bottom, okay, I want to buy this T-shirt. I’m happy with everything that I’ve seen, but now you’re asking for an email, you’re asking for, like, a bunch of things. You click on a button, it doesn’t work. Those are extra friction points that prevent a person from taking action. When you’re looking at the entire funnel, you got to make sure that from a technical standpoint, from a user experience standpoint, from a getting-in-front-of-them-in-the-right-moment standpoint, everything hits, especially in this digital economy where everything’s very, very fast.  So anything that goes wrong, anything that creates a question, anything that creates a frustration point or any opportunity for somebody else to come in and grab that traffic at that moment of intent, those are friction points that you want to address and you want to track and you want to find. And you can imagine how there’s a lot of complexity in that. There’s a lot of testing, there’s a lot of work to make sure that that doesn’t happen.  That’s fascinating. Do you have a process for how you do this, how to eliminate frictions?  Yeah. We have a team that does QA and walks through the entire thing and has to do constant testing because what we’ve seen is a lot of other agencies are using AI tools and shortcuts. And lo and behold, a lot of these tools don’t work and they give back false positives, false negatives, and it’s not as good as just taking the time to go through the funnel yourself and make sure everything’s working properly. And it sucks because it’s a lot of work, but that’s how you get the best results, is just by having someone double-check it.  And it’s not to say that we don’t use automation. Like, we use a ton of automation, we use a lot of tools. But the final QA is a lot of the time us and the client going through, like, “Okay, everybody, before we hit go, let’s just all go through this before we spend, like, you know, 10K on this and just make sure that everything’s working properly.”  Yeah. Love it. Love it. So you’re building this ad agency, a technical agency, so you focus on making the flawless experience. What drives growth in your business?  That’s a good question. That’s something that, honestly, we’re struggling with a little bit. So if anybody’s following me on social media, I’ve been doing a short series. I’m probably going to finish it off soon, but it’s called Watch Sheldon Struggle to Grow His Agency. And it’s literally how I’ve been trying to figure out how to crack lead generation for ourselves and our journey through, like, where we were maybe about a year ago to where we are today.  And we’re still trying to answer that question for ourselves in terms of, how do we get more leads and more clients in a very difficult economy, in a very difficult time? And we’re trying to figure that out. And people can look up our case studies. I think we’re quite proud of the work that we’ve been able to do, and having that technical know-how has given us a huge advantage in terms of performance numbers. And that alone, in the past, through my network, was enough to keep us busy because people would just seek me out whenever they had a problem with their technical stack or their ads.  I’d say in the last maybe 18 months or so, like a lot of other agencies, the word-of-mouth stuff has kind of dried up, where people are kind of, like, holding back their spend. We’ve had a bunch of contracts that were put on hold because of the economic situation around the world. Nobody knows what’s going on. Everybody wants to hold back spend. Everybody wants to sit and wait. So even though people are still contacting me, the flow of projects has slowed down because people are more hesitant to pull the trigger and go. It’s also taking longer for us to have these conversations. Because that organic piece kind of slowed down, we’ve been trying to find inorganic pieces.  I’ve been doing more networking. I’ve been trying to figure out building out our own funnel, which we should’ve done years ago. The thing that’s driving growth for us right now is probably the things that are not scalable, right? In the age of AI, when you’re working with a business, you want to be working with a person. Like, nobody wants a partner who’s just a machine. So doing the things that are not scalable means really doing the things that are human, having human interactions, having human conversations, going out for coffee with people, meeting people at conventions and workshops and, you know, like, literally just getting our name out there in a way that is more human and just having real conversations.  And despite all the other testing that we’ve done with the cold emails, with the ads, with this, that, and the other thing, like, that seems to be the thing that’s working the most, is just kind of putting my name out there and saying to people, like, “Hey, if you have a problem, come talk to me. We’re not necessarily going to have a contract together, but hopefully we can have a quick coffee and I can at least get you past a technical hurdle.  I can give you some insight into what you’re struggling with and give you a hand.” And that kind of goodwill has led to more conversations and more contracts and new contracts than anything else that we’ve done. For our clients, because our clients are more direct-to-consumer, so they’re usually bigger brands that are selling a quick product, quick service to the general public. They’re not B2B, they’re B2C. On that front, it’s literally what we just talked about, following the AIDA playbook, making sure the funnel’s good, making sure the ads are firing, making sure the data’s there, and then that’s how we get our crazy numbers, like 12X return on ad spend, you know, 14X return on ad spend.  That’s just following the system and doing the work. So for our clients, we have it under control for their growth. For our own growth, for the B2B side, that’s where I’m realizing that, like, we need to step away from all this AI noise, and people are trying to do these AI BDRs and all these things, and it just doesn’t work because people want to have a real human conversation.  Yeah. No, I totally see the same thing. The easier the automation, the more it just becomes noise.  Exactly. It’s democratized automation, which means that, like, it’s no longer the thing that stands out. You have to do something different.  Yeah. And people are becoming resistant, and they recognize if something is AI-created, and they just tune it out, right?  Yeah, exactly. Exactly.  Yeah. It’s fascinating. How much of your time is actually spent on networking and doing the human things as opposed to running your business?  I’m very fortunate that my team mostly runs the day-to-day at this point, so I’m spending most of my time doing all the other stuff. So, like, trying to do the networking, trying to get our name out there, and then everything else is just admin and paperwork. So in terms of actually running the day-to-day of the company, our head of operations, Brent, does a fantastic job of running the team.  Jack, our head of marketing strategy, does an amazing job of making sure the ads are firing properly. Whenever I get involved in the day-to-day, they get annoyed at me because I’m like, I’m coming in, I don’t know what’s going on, and my hair’s on fire. I’m trying to do X, Y, Z, and then I jump out and I just create chaos. So most of the time they’re telling me, like, “Yeah, listen, go out and talk to people. We don’t want you at the office. We don’t want you doing the work.”  So how fast is your product evolving?  Oh, constantly. I mean, the way that I explain it to people, right? A lot of people right now, especially running ads, right? Because that’s our core product, that’s our core service, is running ads and making sure that we maintain that competitive advantage for our clients. Because of the advent of AI, everything’s constantly changing. Already it was a very technical space because a lot of people seem to think that whether or not your ads do well, they think it’s a creative exercise, and I think it was up until about eight months ago.  But today, I would argue that it’s skewed, and it’s more of a technical exercise. Because these ad platforms are running AI algorithms, the quality of the data that you feed into it now is more important than ever. And like I said, there’s been a lot of changes in the last few months to the point where now it’s no longer about how good your content is. It’s about how good your targeting is, how good the data you’re feeding it is, how good your audience is kind of reacting to it, and then making intelligent tweaks to your content based on the feedback that you’re getting back from the AI.  So these are things that are constantly evolving. Like I said, even though the strategy doesn’t change, the tactics and the technology is a constant change. So the AI thing that I was talking about where Google just released or just opened up the option to do advertising with AI responses, that’s less than, I think, three months old. So that’s the new thing that we’re now testing with our clients to see how is this working, how is this working.  The other thing too is that the way I describe it, a lot of people now—the new thing that we just noticed within the last few months—is that people are saying, like, “Oh, I can just use an AI agent to set up my ads.” But these AI agents are based on large language models, right, the LLMs. And the way that large language models work is that they’re trying to give you a statistically accurate response, which is great for certain things, not so great for other things. So the way I tell people is that if you were to take an LLM, again, which is what most of these agents are based on, you were to graph all the possible responses for accuracy, what you would end up with is a bell curve, right?  And on the bell curve, you have on one end, you have these are all the answers that are definitely wrong. And on the other hand, these are also answers that are, like, they’re novel, but we don’t know how accurate they are. And then in the middle, at the top of the bell curve, right in the middle is the statistical most accurate response that it thinks it can give you. So it’s always going for that statistical middle with these LLMs. So when it’s setting up ads and it’s doing strategy, it’s going for what is most likely the safe result, right?  The least interesting.  It’s the least interesting.  Yeah.  Now, when you’re running ads, right, it’s a race. My background is in software and computer science, so when I’m doing coding and I’m using Claude Code, I want statistical middle. I don’t want it trying new things with my code. I don’t want it to be a bad programmer like a junior, but I don’t want it to be doing stuff that’s so advanced and novel that it’s not tested, it’s going to break. I just want the middle, right?  Engineering middle. But when we’re running ads, it’s a race. And if you’re in the middle of the pack in a race, you’ve lost. So one of our big advantages is that we’re using a lot of AI for automation. We’re using a lot of automation tools to do our day-to-day. But when we’re coming up with a strategy and building out the ads, it’s a human that’s doing that because we want to be at this far end that’s going to be ahead of everybody else. We don’t want to be middle of the pack.  So from that sense, it’s constantly changing to keep on top of these things to figure out what’s new, what’s going on. The ad platforms are changing constantly because, you know, the way that we interact with the internet is changing constantly. So, like, yeah, it’s constant, it’s a constant race.  So, but doesn’t that also bring you back to the creative part?  It does.  How to be creative, maybe not design-wise, but some other way?  It does, but in a way that I think a lot of creative agencies don’t understand. Because a creative agency will focus on the story, and they will focus on, you know, telling a good story, and they are thinking, if I can put it this way, they’re thinking very linearly. So one of the big mistakes that we see, like I talk to a lot of other agency owners, and every once in a while I help consult on the side, just to give them some advice in what they’re doing, what’s working and what’s not.  And one of the things that I see a lot is that a lot of these agencies have not understood how the new PMax campaigns and how the new Advantage+ campaigns work, so they’re working against the AI algorithm. So a lot of these other agencies, they’re more content than they are technical. So what they’re doing is they’re trying to tell a good story from the content, and then what they’re trying to do is they’re trying to find the demographic that they think will match with the content. So they’re content first, right?  So what they’re trying to do is, if they’re putting together a story for a product, they then in their heads think, “Okay. Well, I think I need to go for, you know, women living in suburbs that are between this age and this age and this income range and are interested in XYZ thing, and that’s how I’m going to set up the system, and then they’re going to see my ad, and then there should be a connection there.” That’s not how it works anymore. So in that setup, I can see how it’s super important to understand the story and get all that done.  The modern way that we’re doing things that’s different is that when we’re building out our content, we work with the content agency or we work with the marketing team to say, “What is your interest piece that’s going to get people to stop scrolling? What’s the interest piece that’s going to get people to want to read more? How do we build that desire for them? And then give me those in different assets, different pictures, different videos, different texts, different descriptions, different headers.”  What we then do is we take all of that content, and we put it into an asset library on PMax. So what we do is instead of telling PMax to look for XYZ demographic, we don’t tell it to do any of that. We let it go broad, and it does the opposite. What it does is, and of course, this is after the caveat. We’ve already set up the landing pages. We’re collecting all the data. We’ve tested all that. The data modeling is solid, so the entire funnel, all the micro actions, everything, we know that is being fed cleanly into the system, because that’s important. What the system’s then going to do is it’s going to, like, not just A/B test, but it’s going to take every combination that it can think of with all the different assets, with the videos, the text, the this and that and the other thing, and it’s going to start testing all the different combinations quickly.  And mixed in there is all the interest, attention, desire, everything. The algorithm is then going to figure out, based on all the data points that it has on us, it has, like, 57,000 data points, I think, Meta has on us. When a user has this pattern of data, they seem to resonate with this combination of assets. This pattern resonates with this combination. So bit by bit, what it does is it will start creating audiences for you that resonate with different kind of, like, asset packages. And then lo and behold, what we see is that emergent is the attention content all gets grouped together, and now we have an audience that’s ready for attention.  The interest piece, this is all the content that we had flagged for interest. Here’s our interest audience. And then the AI is basically working to figure out for you, not based on anything other than random data points and patterns, what is the audience for you? And then it’ll be able to then say, “Okay, now that we have a pattern to look for, we have, like, another 100,000 people that match this pattern and we can start advertising to them. And that’s the proper way to do it. But the thing that people are uncomfortable with is that it’s a black box. We don’t know what their demographic is. We don’t know where they live on the internet. We don’t know what their interests are. We don’t know any of that. It’s just random data points and math that has created this audience for us. And if you were to extract those people and put two or three of them next to each other, you’d go, like, “I don’t understand why these people have anything in common.”  But somewhere in the data, the data is signaling that they are going to resonate with your content. So this is what I mean. Like, the content is still important, but I think it’s skewed, like, a little bit. I’d say, like, now it’s, like, 60% data and math and 40% content, whereas before, it was much more heavy on the content side.  Very interesting. And this is how your platforms will find the lookalike audience based on your sample audience?  Exactly. Exactly.  Yeah. That’s fascinating. So other than the lead generation, what’s one thing that you’re actively trying to figure out in your business?  Other than that, we’re just having a lot of fun with all these new AI tools. I’m getting a few members of my team working with Claude. A few of us are working with ChatGPT. We’re trying to see, like, what these platforms can do, what are the things it can automate. I think one of the really cool things is now something that used to take, like, weeks to create code around, it can be done in an afternoon.  So it’s like, as soon as we identify a business problem, something that my team has to do, like, you know, three or four times a week that slows us down, now I can tell my devs, like, “Hey, guys, like, this is a business problem that we have. Can you guys just come up with a quick tool to do?” And we can build it, and we can just have it. So we’re trying to experiment more and more with how we can kind of speed up our development process.  And because we’ve been developing for so long, there’s a few things that are kind of like the—a few of the standard ways to run a development team that are now starting to be questioned because these LLMs are getting better and better at taking over some of these mundane tasks, that we’re starting to revisit what is our QA strategy when we’re actually coding. Like, what’s a more important skill set? One of the things I think that we’re trying to navigate right now is what is our hiring process for interns going forward?  So in the past, when we were looking for juniors and interns, the skills that we were looking for was like, what is your ability to figure out the answer to this question, right? Given a complex question, given a complex task, how are you going to be able to figure out how to solve this? Because of the rise of LLMs, finding the answer is no longer as important as asking the smart question. And the challenge that we’re facing right now is that asking a smart question requires critical thinking. A lot of critical thinking requires experience. The best critical thinkers have decades of experience behind them. How do you get that from an 18-year-old who’s coming from school?  They literally have no experience. That’s why they’re coming to us as interns. So we’re trying to figure out, like, okay, how do we square that? And we’re very proud of the internship work that we do. It’s a way for us to give back to the community. We work with a lot of the colleges and universities in town. Like I said, I myself came from having taught high school, and I’m very passionate about education, so I want to do good by that industry, by those students.  But we’re having a bit of a hard time because we don’t want to necessarily disadvantage them, but we’re also trying to figure out how do you find a good critical thinker among kids with no experience. So that’s probably the thing that we’re trying to figure out right now.  Yeah. That is fascinating. And that is a big issue for young people coming up, how to get those internships. Internships are harder to get, and probably this is the main reason for it, because people use technology to replace the inexperienced people.  The bar has definitely gone much higher. And again, we’ve experienced this as well, where, like, we’ll have a task, and we can ask an intern to do it, and they’ll kind of, you know, grudgingly figure it out and do it. But if it’s a critical task that needs to be done, that same exact task can be handed off to an LLM, and it’ll just get it done. Yeah. It won’t be amazing quality the way that, you know, a senior developer will do it, but it’ll be good enough, and it’ll be probably better than what the intern can do.  So if you’re only looking at the task from a purely productive lens, well, I’ll get a better result from the LLM, so then the intern has no purpose. We’re having to reshape the way we think about this, where if we are truly building an internship program, at that point, it’s not about the productivity, it’s about the learning that the intern gets out of it. So it becomes a teaching thing. So we have to be okay with handing off this task to the intern, knowing that an LLM could probably do a better job.  But they need to learn how to do it first so that they can rise above it. And I think what we’re seeing right now is that companies are not mandated to teach. They don’t care about the learning of the intern. They care about the production of the thing. And in the past, it was cheaper to get the intern to do it because there was no other option. But I think companies are realizing, like, well, we can just have the LLM do it, and it’ll be better and faster. Why do we need the interns? And that’s why these opening early positions are not being handed out anymore. The problem with that is that you don’t get senior-level people without training them up as juniors, and we’re giving all of that learning opportunity to machines.  Yeah.  So what does our future look like with that gap? What does the future look like for these kids coming out of school? Like, these are all obviously much bigger questions than my company can ever answer. This is a bigger societal question, but this is what we’re seeing kind of on the front lines, having a very strong internship program. We’re struggling with this idea, like, where is this next generation coming from?  That’s scary. That’s very scary. So who are the ideal clients that, if they listen to this podcast, you want them to contact you? Yeah. So basically, our biggest successes are with brands that are very strong on the wholesale side and are already in retail stores. So a lot of times what happens is you have a company that does an amazing product. They’re already in Walmart, they’re already in Costco, they’re already at Winners, and they have built up a very successful wholesale B2B business. They then launch a Shopify store, and they want to start getting the brands and start building a relationship directly with their consumers.  And then they’re realizing, like, “Oh, this is a different game, and we’re struggling.” And then at that point, it’s easy for us to come in and help because they have a strong offering already. They have a wholesale side that can drive their growth. And our job is to make sure that we start help building out that direct-to-consumer side by making sure that all of the data is mapped out properly. We like working with companies like that because they already have a very good idea of their marketing, why their product is successful.  They know which products are successful and not, so we can skip a lot of the learning part, and we’re just putting a megaphone on their existing brand and their existing offering in the most efficient way possible to make sure that, you know, right away out of the gate, that their D2C business is going to be just as strong as their wholesale business.  Yeah. Oh, that’s fascinating. So essentially, you pick those companies that have a good product already because it’s tested in wholesale channels and the Costcos and Walmarts and the Amazons of the world, and you help them tap directly the consumers through very targeted advertising.  Exactly, exactly. And then once we have that basic foundation set up, then we start doing interesting things like, how do we get the newsletters out? How do we help them get their marketing team to have more of a direct relationship with their end customer? Because when you go to a Costco or you go to a Walmart and you pick up a product, what happens is that the retailer holds the relationship, right?  It’s a way to help them offset that. And it’s kind of a tightrope that we have to walk because we recognize that the relationship with the wholesaler is still key. So whatever we do, we have to be conscious that we’re not going to upset that balance.  Yeah.  And that everybody’s winning, everybody’s making money, everybody’s growing, nobody’s getting upset with one side or the other. So because we’ve had experience working with national brands, we are positioned to understand what that relationship looks like. We know from our client side what it’s like when they’re talking to the Costco rep, what it’s like when they’re talking to the Walmart rep, what those subtle differences are in culture, and what we need to be aware of because, you know, we want to make sure that nothing that we do on our side jeopardizes that relationship.  Yeah. And then the big companies—what they want is they want to commoditize you, and they want to control the relationship, the brand. They want their white-label brand on top of your product. Yeah.  Which is their right. I mean, they’re the retailers. They’re the big guys.  Yeah. If you don’t build your own brand, then you’re going to slip into the white label because you have no leverage over the big, big stores. But if you have a strong brand, you have leverage, and then the whole relationship works better. So it’s very interesting. Okay.  So if people would like to learn about how they can do that, how they can go from wholesale to D2C, and would like to learn about how you can help them, where should they go and how can they contact you?  Yeah, so there’s a lot of information on our website, so drivemarketing.ca, so the Canadian extension. Yeah. And then I think I’m the only Sheldon Poon that’s really active on LinkedIn. I think there’s one other one that’s maybe in Hong Kong somewhere, but that’s not me. He’s, I think, an older guy. So if people look me up on LinkedIn under Sheldon Poon and just message me, I’m pretty active there and I try to answer everybody.  And what I love is helping people out. Even if people have no intention of hiring us, I’m like, “That’s totally fine.” Send me your questions because I like to be able to help and answer and know what people are struggling with because it helps our work. It just gives me an opportunity to have conversations with people.  Awesome. So if you run a brand that has already cracked the wholesale channels, but you want to build your direct-to-consumer, you know, hit up Sheldon on LinkedIn, Sheldon Poon, and have a chat with him. As you can see, he’s a great person to chat with. And if you enjoyed this show, then stay tuned because every week we have a couple of entrepreneurs who are building great companies who come and share their frameworks with you. So Sheldon, thanks for coming and sharing your wisdom, and thanks for listening.  Yeah. Thank you. This was great. It was my pleasure. Thank you so much for having me on.  Important Links: Sheldon's LinkedIn Sheldon's  website

In dieser Folge vom OMT-Podcast spricht Mario Jung (OMT GmbH) mit Juliane Schürer (eMinded GmbH), die zeigt, dass die KI Google Ads übernimmt – aber nur für diejenigen, die ihre Daten, Produktstruktur und strategischen Ziele im Griff haben. Für Dich bedeutet das: weniger operative Klickarbeit und deutlich mehr strategische Verantwortung. Viele operative Aufgaben – Gebote, Budgetverteilung, Netzwerkentscheidungen, Anzeigenerstellung – übernimmt die Plattform inzwischen selbstständig und in Echtzeit. Das bedeutet, dass weniger manuelle Detailarbeit, aber gleichzeitig eine deutlich höhere strategische Verantwortung herrscht. Die Qualität Deiner Daten, die Struktur Deiner Produktfeeds und die Definition Deiner Geschäftsziele entscheiden darüber, wie gut die KI performt. Fehlerhafte Tracking-Setups oder unklare Zielvorgaben führen dazu, dass Google auf einer falschen Realität optimiert – mit teuren Konsequenzen. Besonders im eCommerce wird deutlich, dass Performance Max (PMax) zwar der Motor vieler Accounts ist, aber nicht allein stehen darf. Klassische Search-, Brand- und Standard-Shopping-Kampagnen behalten ihre Berechtigung, weil sie Kontrolle, Transparenz und Lernfähigkeit sichern. PMax ist effizient, aber oft eine Blackbox. Deshalb brauchst Du ergänzende Kampagnen, um Brand-Traffic sauber auszusteuern, saisonale Peaks gezielt zu aktivieren und Lower-Funnel-Anfragen präzise abzufangen. Gleichzeitig verändern sich Suchanfragen durch KI: Nutzer:innen formulieren problemorientierter und dialogischer. Mit neuen Search-Features wie Max wird Google breiter ausspielen – und Du musst stärker mit negativen Keywords, Feed-Optimierung und klaren Segmentierungen gegensteuern. Der größte Hebel bleibt die Datenqualität. Sauberes eCommerce-Tracking, korrekte Umsätze, Warenkorbwerte, Produktkosten, Margencluster, Neukundenlisten und hochwertige Creatives bilden die Grundlage für wirtschaftlich sinnvolle Optimierung. Die Rolle von Google-Ads-Expert:innen wandelt sich: weg von operativer Klickarbeit, hin zu datengetriebener Strategie, Funnel-Architektur und Feed-Exzellenz. Wer jetzt investiert, stellt seinen Account zukunftssicher auf – denn KI wird die Suche, die Kampagnenlogik und die Customer Journey weiter verändern. Unternehmen, die früh testen und ihre Daten sauber halten, werden langfristig profitieren.

Everyone selling in Europe has heard the pitch: use a third-party CSS and get a "20% discount" on your Google Shopping bids. Mike Ryan and Chris finally settle what that number actually means — and it's not a discount at all. They break down the real math behind Google Shopping Europe's mandatory margin, whether a multi-CSS strategy still makes sense in 2026 (spoiler: it doesn't), and why the fear of "bidding against yourself" across multiple CSS partners is a myth Google has gone out of its way to debunk.Then: a lesson for every advertiser, EU or not. If bid is the only real differentiator between a PMax shopping ad and a Standard Shopping ad serving the identical product, what happens when you run both at once? Mike shares fresh CPC data across shopping-only, hybrid, and PMax-only accounts suggesting the answer is: your account gets hotter. Whether or not you technically "bid against yourself," running overlapping campaign types may be quietly inflating your CPCs — and Google's new Channel Diagnostics report might be a tacit admission of exactly that.In this episode:• Myth #1: the "20% discount" claim — it's purchasing power, not a discount• The real math: how Google Shopping Europe's mandatory margin actually hits your bid• Do you still need a third-party CSS in 2026? (Yes — here's why)• Myth #2: does a multi-CSS strategy still make sense, or is it a "last-mover penalty"?• Myth #3: are you bidding against yourself with multiple CSS partners?• The bigger lesson: what happens when bid is the only ad rank differentiator?• Fresh CPC data: shopping-only vs. hybrid vs. PMax-only accounts• Google's new Channel Diagnostics report for PMax — a tacit admission?• The verdict: hybrid PMax + Shopping setups can work, but only with a real strategyGrowing Ecommerce is brought to you by smec (Smarter Ecommerce). Learn more: https://www.smarter-ecommerce.com

Fourteen years ago, Angus Growney realised he could game his own attribution model. He's spent every year since chasing numbers he can actually trust.That hunt is what brought Angus Growney to Bared, the podiatrist-founded Melbourne footwear brand where he leads performance marketing across a business that now does roughly 70% of its trade online and is expanding into the US and New Zealand. Alongside him is Zach Rego, Chief Revenue Officer at Triple Whale, who joined in 2022 as it launched the first-party pixel built to stitch conflicting platform numbers into one customer journey. Zach now calls Triple Whale the AI operating system for ecommerce, with more than 60,000 brands on it. Nathan recently onboarded Triple Whale for a client himself, so he brings his own reactions to the platform along the way. This isn't a story about finally cracking attribution. It's about what happens once you trust your data, when the work shifts from understanding the numbers, to making the decisions, to letting AI take the action.Today, we're discussing:Why trusting the data is harder than building the report, and the three months Bared spent in the warehouse before switching Triple Whale on.How Angus runs Australia, the US and New Zealand off one collated view, and the numbers he makes decisions on each week.What Triple Whale's first-party pixel and Moby actually do, explained plainly by Zach Rego. Inside True Classic running its entire Meta budget through Moby with no human in the loop, guided by a ten-page rules file.The PMax debate an AI settled, and why taking the opinion out of the room led to the right call.Where to draw the line on AI autonomy: Copilot, Autopilot and guardrails, and what to automate versus keep human.Connect with Zach Rego | Angus Growney | Explore Triple Whale | Bared Subscribe to the Add To Cart newsletter  SMS us to Suggest a Guest Connect with Nathan Bush Join the Add To Cart Community 

In this consolidated recording from LL LIVE podcast episode 204, Dr. Paley talks about the PRECICE Max nail and what patients need to know directly from the surgeon who helped design the nail.Topics include:• What PRECICE Max / PMAX is• How it compares to predecessor PRECICE 2.2 nail• Why PMAX nail strength and size matter• Weight bearing, mobility, and rehab expectations• Potential benefits for femur, tibia and quadrilateral • Patients should still be cautious about including PT• Timing, availability, cost, and safety questions• Brief LIVE Q&A from the limb lengthening community

Sommerpause? In der Google-Welt eher nicht. Diesen Monat kommt einiges zusammen – AI Max, eine neue Briefing-Funktion, eine verschobene DSA-Umstellung, eine lang vermisste Gebotsstrategie im Shopping, automatisch generierte PMax-Videos und eine Änderung an den Gebotsstrategien zum 17. August. So unterschiedlich die Punkte wirken: Sie zeigen in dieselbe Richtung. Google übernimmt mehr Entscheidungen und gleicht dabei immer weniger aus, was in deinem Konto nicht sauber aufgesetzt ist. Wer ein gutes Setup hat, profitiert. Wer eins mit Lücken hat, sieht die Lücken jetzt schneller in den Zahlen. ---- AI Max: hilfreich, aber kein Reparaturwerkzeug • In einigen Konten bringt AI Max inzwischen wirklich sinnvolle zusätzliche Suchbegriffe und Conversions. • Manchmal liegen die Begriffe aber weit weg vom Angebot – der Blick in den Suchbegriffe-Bericht bleibt Pflicht. • Google kündigt eine Briefing-Funktion an: Markenstimme, Regeln, ideale Zielgruppe und Ausschlüsse lassen sich künftig mitgeben. • Wichtig: Schwächen im Setup skalieren mit. KI heilt keine schlechte Kampagne, sie verstärkt sie. ---- DSA: eine Verschnaufpause • Die Zwangsumstellung dynamischer Suchanzeigen auf AI Max ist verschoben. • Neue DSA sind bis Februar 2027 möglich, die Abschaltung beziehungsweise das automatische Upgrade folgt einige Monate später. ---- Shopping und PMax: zwei Updates, die zusammengehören • Standard-Shopping-Kampagnen haben endlich die Gebotsstrategie „Conversion-Wert maximieren" – ab Tag 1 nutzbar, später jederzeit auf Ziel-ROAS umstellbar. • Das ist zugleich ein Signal: Standard Shopping wird so schnell nicht abgeschaltet. • PMax „Feed Only" gibt es faktisch nicht mehr: Google holt sich Bilder aus dem Merchant Center und baut daraus automatisiert Videos. • Prüfen kannst du das in der PMax-Kampagne unter Statistiken und Berichte, dann Kanalleistung – dort siehst du die Verteilung auf Suche, YouTube und die übrigen Netzwerke. ---- Der 17. August: aus dem Richtwert wird ein hartes Ziel Bild aus dem Alltag: Du gibst Vollgas, fährst aber im ersten Gang – und ziehst dabei die Handbremse. Genau so sehen viele Setups aus. • Beispiel: 50 Euro Tagesbudget, 200 Prozent Ziel-ROAS eingestellt, tatsächlich erreicht Google 300 Prozent. • Bisher hat Google das erkannt und den ROAS faktisch verbessert, statt das Ziel wörtlich zu nehmen. • Ab dem 17. August wird das eingestellte Ziel als hartes Ziel verwendet – im ungünstigen Fall werden dieselben 50 Euro mit deutlich höheren Klickpreisen ausgegeben. • Das betrifft Ziel-ROAS und Ziel-CPA gleichermaßen. Eine pauschale Empfehlung gibt es nicht, das hängt am Setup, an der Conversion-Art, -Anzahl und den Werten. ---- Neues Asset: Haftungsausschlüsse • Für Suchanzeigen gibt es jetzt Texthaftungsausschlüsse als Asset, maximal 90 Zeichen. • Sie erscheinen in der ersten verfügbaren Textzeile und überschreiben dort angepinnte Assets. Kompatibel mit AI Max. ---- Alle Updates laufen auf dieselbe Frage hinaus: Ist dein Setup sauber genug, dass mehr Automatisierung für dich arbeitet statt gegen dich? • Suchbegriffe-Bericht regelmäßig prüfen, wenn AI Max aktiv ist. • Bei PMax in die Kanalleistung schauen – läuft dort längst Video, wo du keins geplant hattest? • Vor dem 17. August durch die Kampagnen gehen: Passen Tagesbudget und Zielwert zusammen? Ist dein Zielwert durchgerechnet, gib so viel Budget wie möglich frei. War er nur eine Hilfsgröße zum Anlaufen, entscheide dich: Budget hoch oder Zielwert strenger. Beim Ziel-ROAS heißt strenger: Wert hoch. Beim Ziel-CPA: Wert runter. Links: - https://blog.google/products/ads-commerce/ai-max-new-features/ - https://blog.google/products/ads-commerce/dsa-upgrade-to-ai-max-2026/ - https://support.google.com/google-ads/answer/17061251?hl=de - https://support.google.com/google-ads/answer/17028951

Meta ve Google reklam panellerinde "Kampanya Oluştur" yeşil butonuna basmayı herkes biliyor. Hangi tuşun ne işe yaradığını, Advantage+ veya PMax kampanyalarının nasıl kurgulanacağını YouTube'daki on dakikalık ücretsiz bir videoyla bile öğrenebilirsiniz. Panel kullanmak kolaydır; çünkü panel günün sonunda kodlanmış basit bir arayüzdür. Peki, sektördeki e-ticaret markalarının %90'ı neden hala reklam bütçesini çöpe atıyor, neden ROAS ekranlarında sahte illüzyonlarla avunup ay sonunda banka hesabında gerçek bir kârlılık göremiyor?Bu sorunun cevabını, geçtiğimiz günlerde yayınları sıkı takip eden değerli dinleyicimiz Mustafa Altay'dan gelen çok samimi bir itirafla masaya yatırıyoruz. Mustafa'nın sorduğu, aslında bugün milyonlarca lira bütçe yöneten ajansların ve pazarlama direktörlerinin en büyük kanayan yarası: "Abi her şeyi anladım, psikolojiyi ve reklamı anladım ama şu müşteriyi araştırması kısmını, pazardaki müşteriyi anlayıp ona göre reklam çıkma matematiğini bir türlü oturtamıyorum."Filtresiz Dijital'in 97. bölümünde, reklam panelinden önceki o konuşulmayan "Karanlık Bölgeye" dalıyoruz. Altınızdaki araba bir Ferrari bile olsa, navigasyona yanlış adresi girerseniz sadece yanlış yere çok daha hızlı gidersiniz. Bu Bölümde Hangi Ödünsüz Gerçekleri Deşifre Ediyoruz?• Demografik Çöplük ve "Gece 3 Sancısı": Ajansların Excel tablolarına yazdığı "25-45 yaş arası, büyükşehirde yaşayan, yoga yapan kadınlar" gibi içi boş personaların neden birer çöplük olduğunu yüzleşerek konuşuyoruz. İnsanlar yaşlarına veya oturdukları semte göre değil, amigdalalarını tetikleyen acılara göre satın alır. Müşterinizin gece saat 3'te yatağında tavana bakarken hangi problemi yüzünden uyuyamadığını (Gece 3 Sancısı) bulmanın ve ona ürünün özelliğini değil, acısız bir akşamı satmanın formülünü veriyorum.• Dijital İstihbarat ve Rakip Yorumlarını Hacklemek (Review Mining): Masa başında kahve içerek "bence bizim müşteri şunu sever" deme devri bitti. Pazarın lideri olan en dişli 3 rakibinizin Amazon, Trendyol ve Hepsiburada'daki 1 ve 2 yıldızlı yorumlarını nasıl birer istihbarat madenine dönüştüreceğinizi anlatıyorum. Rakiplerinizin lojistik, kumaş veya müşteri hizmetleri zaaflarını alıp, kendi reklam kampanyalarınızda müşteriyi ensesinden yakalayan o yenilmez kancalara (Hook) nasıl çevireceğinizi adım adım gösteriyorum.• Sosyal Dinleme (Social Listening) ile "BS Detector"ü Kapatmak: Anket verilerinin neden her zaman yalan söylediğini, rasyonel ön lob ile duygusal satın alma beyni arasındaki farkı inceliyoruz. Ekşi Sözlük, Reddit ve Kadınlar Kulübü gibi insanların maskelerini çıkardığı platformlara sızarak kitlenin sokak jargonunu nasıl kopyalayacağınızı anlatıyorum. Sizin o plaza dilinizi değil, kendi kelimelerini reklam metninde gören müşterinin zihnindeki "yalan savar" (BS Detector) kalkanını nasıl indireceğinizi deşifre ediyoruz.• Yapay Zekayı Davranışsal Ekonomi Uzmanına Dönüştürmek: ChatGPT veya Claude'u sadece "Instagram metni yaz" diyerek hesap makinesi gibi kullanmayı bırakın. Yüzlerce filtresiz müşteri şikayetini yapay zekaya besleyerek; kitlenin en derin 3 korkusunu, duygusal satın alma tetikleyicilerini ve savunmaya geçtiği kelimeleri saniyeler içinde çıkaran o 2026 model özel "Nöropazarlama Analisti" komutumu (prompt) sizlerle paylaşıyorum.Siz de bu yayını dinledikten sonra e-ticaret sitenizi ve reklam kurgularınızı birer deneme yanılma tahtası olmaktan çıkarıp, salt bir insan psikolojisi ve veri madenciliği matematiğine dönüştürmek istiyorsanız, masadaki parayı rakiplerinize bırakmamak için şu an bu kanalı hemen takip edin ve bildirimleri açın.Bu işin sadece panel boyutunu değil, tüketici psikolojisini ve yapay zeka ile pazar araştırması mimarisini bir meslek olarak en ince detayına kadar öğrenmek istiyorsanız Joy Akademi eğitimlerimize katılın. "Faruk, benim operasyonum var, bu derin psikolojik kurguyu ve reklam matematiğini markam için doğrudan siz kurun ve ciromu büyütün" diyorsanız, joykek.com üzerinden ajansımızla iletişime geçin.

We turned Google Ads into a World Cup bracket. Three head-to-head rounds, two hosts, no referee — just the campaign types and bid strategies advertisers argue about most.In this episode of Growing Ecommerce, Mike Ryan and Chris go feature vs. feature:

LL LIVE Ep. 204: PRECICE Max is one of the latest breakthrough developments in internal limb lengthening technology, and this podcast livestream is to give patients clarity on the expectations, safety, mobility, weight bearing, recovery, femurs, tibias, and surgical planning.Topics include:• What PRECICE Max / PMAX is• How it compares to predecessor PRECICE 2.2 nail• Why PMAX nail strength and size matter• Weight bearing, mobility, and rehab expectations• Potential benefits for femur, tibia and quadrilateral • What patients should still be cautious about including PT• Timing, availability, cost, and safety questions• Brief LIVE Q&A from the limb lengthening communityContact info for Dr. PaleyWebsite: https://limblengthening.org/Email: inquiry@limblengthening.org_____________________Timestamps -0:00 – Intro: Dr. Paley on the New PRECICE Max Nail1:10 – What Changed from PRECICE 2.2 to PRECICE Max3:16 – FDA Disclaimer and Paley Institute Weight-Bearing Protocol4:17 – Why Paley's Protocol Is Built Around Safety and Reliability6:32 – How the PMAX Protocol Differs from P2.27:16 – 5,000 PRECICE 2.2 Nails and What the Breakage Data Shows8:44 – First PMAX Launch, Manufacturing Delays, and Relaunch Timeline11:50 – Exclusive July 15th Launch at Paley Institute13:11 – First 60 PMAX Cases and Early Hardware Results15:43 – Weight Bearing as Tolerated After Surgery17:36 – Why Limb-Lengthening-Specific Physical Therapy Matters19:16 – Walking Without Aids, Stairs, Curbs, and Cane Protocol21:57 – How PMAX May Reduce Muscle Loss and Deconditioning23:49 – Femurs vs Tibias and Quadrilateral Weight-Bearing Rules24:43 – PMAX Nail Sizes and Weight Limits28:00 – Bone Healing, Wolff's Law, and Titanium Nail Loading30:17 – Tibia Lengthening, Achilles Stretching, and Ballerina Foot Risk34:41 – Why Surgeon Experience Matters with PMAX36:06 – Fat Embolism Risk and How Experienced Teams Reduce It39:30 – PRECICE 2.2 vs PMAX: Cost, Benefits, and Decision Factors42:37 – Scheduling PMAX Surgery at Paley Institute45:08 – PMAX Availability in Other Paley Clinics47:19 – PMAX Weight, Consultations, and EOS Scan Process50:47 – Can PMAX Help Patients Reach More Than 5 cm on Tibias?52:03 – Why Paley Does Not Do Preventive Compartment Releases53:56 – Driving During Distraction with PRECICE Max55:02 – Can Simultaneous Quadrilateral PMAX Reach 13 cm?58:53 – Safety, Safety, Safety: Why Experience Matters1:00:10 – PMAX vs P2.2 Recovery Timeline1:02:25 – What If a 10 mm PMAX Nail Does Not Fit?1:05:27 – Vitamin D and Slow Bone Healing Support1:06:49 – Side Quest Recovery Video: Stride Nail Case Study1:10:06 – Running, Sports, and Long-Term Athletic Recovery1:10:46 – The Success Triangle: Surgeon, PT, and Patient Compliance1:14:34 – Final PMAX Takeaways and How to Contact Paley Institute

VOV1 - 6 tháng đầu năm 2026, trong bối cảnh phụ tải điện tăng cao do nắng nóng kéo dài, Tổng công ty Điện lực miền Bắc bảo đảm cung ứng điện an toàn, ổn định cho hơn 11 triệu khách hàng. Nhiều chỉ tiêu sản xuất kinh doanh, quản lý kỹ thuật, dịch vụ khách hàng đạt và vượt kế hoạch.Ngay từ đầu năm, Tổng công ty Điện lực miền Bắc (EVNNPC) đã xác định bảo đảm cung ứng điện an toàn, liên tục cho phát triển kinh tế – xã hội và đời sống nhân dân là nhiệm vụ trọng tâm. Tổng Công ty chủ động xây dựng các phương thức vận hành, tăng cường kiểm tra đường dây, trạm biến áp, xử lý những điểm có nguy cơ quá tải và bố trí lực lượng trực 24 giờ trong các đợt nắng nóng.6 tháng đầu năm, EVNNPC tiếp nhận 58,37 tỷ kWh điện từ hệ thống điện quốc gia để cung cấp cho khách hàng trên địa bàn quản lý. Phụ tải điện tiếp tục tăng cao, với công suất cực đại (Pmax) đạt hơn 21.141 MW vào lúc 22h30 ngày 24/6/2026, tăng khoảng 16,9% so với cùng kỳ năm 2025; sản lượng điện ngày lớn nhất đạt 447,6 triệu kWh vào ngày 25/6/2026. Mức tăng trưởng phụ tải chủ yếu xuất phát từ các đợt nắng nóng xuất hiện sớm và kéo dài trong tháng 5 và cuối tháng 6/2026.Nhân viên Điện lực thực hiện phân tải lộ hạ thế những ngày nắng nóng

I've audited a couple hundred ad accounts. The most common problem I find has nothing to do with Meta.Google is almost always the single biggest structural mess in a DTC brand's marketing stack. The waste is real — I've seen brands burning $12,000 to $14,000 a month on brand spend alone for clicks they were going to get for free — but the bigger problem is the growth sitting locked behind an account that can't see straight.In this solo episode, I walk through the six issues I find in nearly every Google account I audit: branded search bleeding across campaigns, paying to reacquire customers you already own, non-brand campaigns stealing volume from each other, PMax taking credit for conversions it didn't earn, unused audience infrastructure, and broken conversion tracking that starves a channel that's actually working.Then I lay out the nine-step fix list, including the one move almost nobody is making that has the highest new customer rate of anything I've seen on Google.Subscribe for more conversations on DTC strategy, paid media, and what it really takes to build a brand past eight figures.Grow your bottom line: https://www.kynship.co/Key Takeaways:00:00 Why Most Google Accounts Can't Answer the Most Basic Question01:22 Demand Generation vs. Demand Capture: The One Idea That Changes Everything03:10 The 80/20 Meta to Google Rule of Thumb03:55 Stop Adding Channels. Master the Capture Layer You Already Have.05:30 Why Your Account Is Flying Blind on New vs. Returning Customers08:05 Issue 1: Branded Search Bleeding Across Campaigns09:20 Issue 2: Paying to Reacquire Customers You Already Own10:30 Issue 3: Non-Brand Whack-a-Mole11:15 Issue 4: PMax Over-Reliance13:00 Issue 5: No Audience Infrastructure14:10 Issue 6: Broken Conversion Tracking15:05 How to Rebuild Your Google Account From Scratch20:10 The Real Cost of a Broken Google AccountAdditional Resources:Additional Resources:Featured Guest KC Holliday — Co-Founder, Qalo https://www.kcholiday.com/Follow us on X:

Neue Möglichkeiten, Fallstricke und warum jetzt Tests für Werbetreibende wichtiger sind als Plattform‑Hypes, darüber sprechen Nico und Katharina in dieser Folge. Wer Reichweite, Kreativformate und Zielgruppensignale neu denken will, sollte jetzt reinhören und erfahren, warum dieses Thema für Unternehmen relevant ist. Die Antworten auf diese fünf Fragen bekommt ihr in der Folge: - Welche Vorteile bringt die Kombination aus Suchintention und visuellen Plätzen für den mittleren Funnel? - In welchen Branchen kann Demand Gen Meta spürbar Marktanteile abnehmen? - Warum führen Copy & Paste Creatives von Meta zu schlechterer Performance auf Google? - Wie lassen sich PMax‑ und Demand‑Gen‑Kampagnen so strukturieren, dass sie sich nicht gegenseitig kannibalisieren? - Welche Mess‑ und Reporting‑Fallen entstehen durch unterschiedliche Post‑View‑Zählweisen? Das sagt Katharina: „Google Demand Gen vs. Meta Ads sollte keine Entweder‑oder, sondern eine Sowohl‑als‑auch Entscheidung sein. Ein Grund ist unter anderem auch, dass es "Social Media Muffel" gibt. Menschen, die niemals eine Instagram- oder TikTok-App installieren würden, scrollen morgens beim Kaffee durch Google Discover, um Nachrichten zu lesen. Wenn dort deine Demand-Gen-Anzeige perfekt als nativer Artikel getarnt auftaucht, holst du eine komplett neue Käuferschicht ab." Mit: Katharina Knolle, Strategische Leitung Paid Media bei webnetz Nico Loges, Head of Paid Media Marketing und Podcast Host bei webnetz

Timestamps - 00:00 – Intro01:04 – NM Joins the Panel01:29 – Noah & NM: Two 7 cm Femur Lengtheners03:07 – NM's Physio Routine During Lengthening05:03 – Sciatica, Numbness & Slowing Down07:24 – NM's Bone Healing & Why He Stopped at 7 cm08:07 – Noah on Weight Bearing and Bone Growth10:33 – Stretching After Distraction Ends13:41 – Does the Happiness Become Your New Normal?16:24 – Is PT Painful During Lengthening?18:45 – Why You Must Respect Your Body's Limits22:08 – Height Greed, Complications & Long-Term Risk25:00 – Pmax vs External Fixators for Quadrilateral Lengthening27:09 – Peptides and Future Recovery Protocols27:59 – Pool Rehab with External Fixators29:03 – NM Plans Hyperbaric Chamber Therapy32:28 – How Fast Can You Recover from 1.5 Inches?33:25 – 6.5 cm vs 7 cm on Femurs35:39 – Baltimore Surgery Logistics: Safety, Housing & Food36:41 – Forearm Lengthening Risks37:37 – Realistic Height Gain for Quad Lengthening40:11 – Victor's Tibia Pain Experience41:41 – Psych Man Joins Before Surgery45:03 – Is 10 cm Quadrilateral Enough?48:20 – Painkillers, NSAIDs & Opioid Withdrawal52:03 – Managing Inflammation, Ice & Swelling57:41 – Best Nail Options and Pmax Timeline59:01 – Extreme Lengthening as a Multi-Year Commitment1:01:39 – Peroneal Nerve Release and Fasciotomy1:03:20 – Should You Finally Pull the Trigger?1:04:14 – Can Pmax Reverse Like PRECICE 2.2?1:05:20 – NM's Lengthening Timeline1:07:26 – Noah and NM's Bone Healing Updates1:10:51 – Why LL PRO Helps Patients Before Surgery1:12:22 – Showering and Bathroom Setup After Surgery1:14:03 – Cyborg Labs and Supplement Talk1:17:19 – Can a 15-Year-Old Get Limb Lengthening?1:19:33 – Peptides, Natural Recovery & Paley Europe1:21:06 – OutroFind Links to Everything Here and Below: https://sleekbio.com/cyborg4life

E-ticaret reklamlarında kasanın anahtarını yapay zekaya (AI) teslim ettiniz. Peki, o çok güvendiğiniz algoritmaların aslında kârlılığınızı nasıl erittiğinin farkında mısınız?Filtresiz Dijital'in 95. bölümünde, geçtiğimiz haftaki zorunlu molamızın ardından mikrofon başına geçiyor ve rotamızı e-ticaretin en sıcak, en can yakıcı gündemine çeviriyoruz: B2C'de Yapay Zeka İllüzyonu!Meta'da Advantage+, Google'da Performance Max (PMax) kampanyalarını açıp "Yapay zeka nasıl olsa satışı getiriyor, makine öğreniyor" diyerek arkanıza yaslandığınız o an, aslında felaketin başladığı andır. Ajansların arkasına sığındığı "öğrenme süreci" masallarını bir kenara bırakıyoruz. Algoritmalar bütçenizi gerçekten yeni müşteriler bulmak için mi harcıyor, yoksa en kolaya kaçıp zaten sizden alışveriş yapacak olan marka kitlenize mi reklam basarak sizi manipüle ediyor? İşin matematiğini ve arka planda dönen oyunları tüm şeffaflığıyla deşifre ediyoruz.İşin bir de nöropazarlama ve tüketici psikolojisi boyutu var. "Kişiselleştirme" adı altında, sitenizde bir ürüne sadece bakan tüketiciyi 15 gün boyunca her platformda aynı görselle darlamak pazarlama değil, dijital tacizdir! Tüketici beyninde "Reklam Körlüğü" (Ad Fatigue) yaratan bu hatalı frekans ayarlarını ve sepeti terk edenlere anında indirim sunarak markanızı ucuzlatan o sözde "akıllı" dinamik fiyatlandırma tuzaklarını konuşuyoruz. Ayrıca, sırf maliyet kısmak için e-ticaret sitenize koyduğunuz, müşteriyi çileden çıkaran o işlevsiz chatbot çöplüğünün dönüşüm oranlarınıza (CR) verdiği zararı masaya yatırıyoruz.ROAS yalanlarını ve ciro illüzyonlarını bırakıp, banka hesabınıza giren gerçek kârlılığı artırmak ve algoritmaların kontrolünü yeniden elinize almak için bu bölüm tam size göre.Dijital pazarlama süreçlerinizi ve e-ticaret reklamlarınızı stratejik bir akılla yönetmek, kârlılığınızı artırmak istiyorsanız faruk@joykek.com adresinden bana ulaşabilir veya joykek.com üzerinden hizmetlerimizi inceleyebilirsiniz. Tüm video podcast bölümlerimiz ve sektör ifşalarımız için YouTube, Instagram ve TikTok'ta "filtresizdijital" yazarak ekosistemimize dahil olabilirsiniz!Zaman Damgaları:02:01 Podcast Yaz Takvimi ve Hayat Üzerine Kısa Bir Not05:07 Yaklaşan Lansman: Yazılım Çiftliği ve Yapay Zekanın Geleceği07:59 B2C'de Yapay Zeka İllüzyonu: PMax ve Advantage+08:49 Meta Güncellemesi: Hesabıma Kavuşmam ve %5 Ekstra Reklam Maliyeti09:31 Kasanın Anahtarını Algoritmaya Teslim Etmenin Riskleri10:36 Kişiselleştirme mi, Dijital Taciz mi? (Reklam Körlüğü)11:11 Dinamik Fiyatlandırma Tuzakları ve Marka Değeri11:34 E-ticarette Chatbot Çöplüğü ve Yataş Örneği12:47 İllüzyondan Uyanış: Kapanış ve Joykek İle Strateji

Timestamps00:00 – Intro01:22 – Noah's Recovery Update: Walking Without Crutches03:02 – Femurs vs. Tibias: Choosing the Right Segment07:46 – Internal Nails vs. External Fixators10:12 – Common Complications & Lessons Learned13:39 – Why 6–7 cm Can Make a Huge Difference15:05 – Best Limb Lengthening Options in Germany15:28 – Will You Fully Recover After Limb Lengthening?17:27 – Recovery After LLD & Trauma Cases vs Cosmetic Lengthening19:05 – Tailor Spatial Frame (TSF) for Tibia Lengthening19:47 – When Can You Walk Normally and Drive Again?22:56 – The Future of Cosmetic Limb Lengthening25:35 – Noah's Height Gain: 171 cm to 178 cm26:51 – Does PRECICE Take Longer to Recover From?27:44 – Germany Surgeon Discussion: Betz, Becker & Thaller29:05 – Is Noah Planning a Second Surgery?29:46 – Fastest Recoveries Ever Seen After Limb Lengthening32:31 – When Are Complications Most Likely to Happen?34:06 – How Long Does It Take to Get a Normal Gait Back?36:28 – Can Deformity Correction Be Done During Lengthening?37:41 – Accutane and Limb Lengthening Surgery38:25 – PMAX, Testosterone & Future Recovery Optimization40:40 – Athletic Ability, Body Composition & Post-LL Weight Loss43:24 – Returning to the Gym After Limb Lengthening44:04 – Upper Body Training During Recovery45:40 – Best Methods for Faster Recovery46:15 – Aaron Joins the Show46:48 – Aaron's Nail Removal & Bowleg Correction Update48:01 – Aaron's Recovery One Year After Femur Lengthening49:05 – Asian Squat, Proportions & Life at 7.4 cm Taller50:00 – Recovery Timelines: Aaron's Perspective52:10 – Q&A: Walking, Running & Athletic Return55:30 – Community Questions & Surgeon Selection Advice59:00 – Final Thoughts on Recovery & Expectations1:02:00 – Outro____________________Find Links to Everything Here and Below: https://sleekbio.com/cyborg4life

Google just announced the biggest change to search in its history — and not everyone is happy. At Google I/O, the search bar became a search box, signaling a full shift toward conversational, Gemini-powered search. The market is already reacting: DuckDuckGo rocketed from around position 400 to the top 100 in the app stores almost overnight, right around the May 20–21 launch. Mike Ryan and Chris unpack what a privacy-and-no-AI search wrapper suddenly surging tells us about consumer appetite — and why the relentless pace of change is exhausting retailers and experts alike.Then: fresh eMarketer data puts the AI advertising hype into much-needed context. AI ad spend in the US sits around $32B in 2026 (roughly a third of Google's search spend), but ~80% of it is just AI-search-adjacent — ads above and below AI Overviews. The chatbot-driven slice everyone is panicking about? Tiny. We dig into why OpenAI's $100B ad ambition looks unrealistic, what the 2030 projections actually say, and why the real takeaway for CMOs and CDOs is: prepare, but don't abandon your bread and butter.The throughline: everything is changing, and everything is staying the same. With limited budget and talent, the retailers who win are the ones who resist FOMO, pick their battles, and keep investing in the core campaigns that still drive the business.In this episode:Why Google's “bar to box” change is its biggest search shift ever — and what it implies about how Google wants you to searchDuckDuckGo's surge from ~position 400 to top 100: a clear sign some consumers find the new box too muchWhy the pace of change may now be too fast even for Google itselfAI Max for Shopping vs. PMax — the strategic misalignment Google may not even seeWhy standard shopping is here to stay (and the comeback we called early)The new eMarketer data: ~$32B AI ad spend in 2026, ~80% of it AI-search-adjacentWhy OpenAI's $100B ad goal and the 2030 chatbot-ad market projections don't line upThe real CMO/CDO playbook: prepare efficiently, beat the FOMO, protect your bread and butterAbout Smarter Ecommerce (smec):Smarter Ecommerce (smec) empowers e-commerce brands with AI-driven PPC automation that optimizes for profit and business outcomes while maintaining strategic control.The platform activates first-party data - profit margins, customer lifetime value, and key business metrics - to automate campaign optimization toward goals like profitability and efficient growth, while detailed campaign insights provide full transparency and enable PPC teams to focus on strategic oversight rather than manual execution.As a Google Premier Partner and three-time Microsoft Retail Partner of the Year, smec manages over €500 million in ad spend and drives €5B+ in annual e-commerce revenue for 350+ global retail clients including THG, Snipes, REWE, and Intersport.Make sure to follow smec - Smarter Ecommerce for more performance marketing insights:smec - Smarter Ecommerce: https://www.smarter-ecommerce.comLinkedIn: https://linkedin.com/company/smarter-ecommerce-gmbhNewsletter: https://smarter-ecommerce.com/en/newsletter/Instagram: https://www.instagram.com/smarterecommerce/

2026 ist das Jahr, in dem AI im E-Commerce vom Buzzword zum echten Wettbewerbsvorteil wird, aber nur für die Shops, die wissen, an welchen Stellen sie wirklich einen Hebel hat. In diesem Vortrag zeigt Dr. Sebastian Decker, wie Onlineshops einen AI-gestützten Stack aus Google Full-Funnel-Kampagnen, intelligenten Funnels und Offerpages aufbauen, der bei niedrigen CPCs gleichzeitig AOVs deutlich erhöht und Conversion-Rates planbar nach oben zieht. Das Ergebnis: ein besserer ROAS und POAS, und das nicht nur über PMax, sondern auch über YouTube- und Display-Kampagnen für Onlineshops. Grundlage ist die Erfahrung aus über 300 Shop-Projekten und Multimillionen € an monatlichem Adspend bei EVOLVE Digital. Du bekommst kein theoretisches Modell, sondern konkrete Frameworks: Wie du Demand Gen vom Test- zum Profit-Channel entwickelst, wie du informative Keywords mit 8 %+ CVR und 5er-ROAS erschließt und wie du den Traffic auf eine hochkonvertierende Landingpage führst, mit der du deinen aktuellen AOV um 30 bis 100 % und deine Conversion Rate um bis zu 100 % schlagen kannst. Folgendes hast Du nach dem Webinar gelernt: - Wie du als Onlineshop Google zum größten Neukundenakquisitionskanal machst und damit Meta schlägst - Welche Landingpage- und Offerpage-Typen für deine Branche funktionieren - Wo AI in der Konzeption von Angeboten, Offerpages und Funnels einen 5–10x Speed-Vorteil bringt — und wo sie Conversion zerstört - Wie du Angebote psychologisch so konstruierst, dass AOV, CVR und DB2 in deinem Shop gleichzeitig steigen - Welches Setup aus Kampagnen, Angeboten und Landingpages bei 4–5-stelligen Tages-Adspends stabil skalieren Zielgruppe: - Onlinehändler und D2C-Brands zwischen 1 – 30 Mio. EUR Jahresumsatz - Brands, die 10.000 EUR und mehr monatlichen AdSpend bei Meta haben und unabhängiger von Meta sein wollen

VOV1 - Để đáp ứng nhu cầu sử dụng điện của người dân, doanh nghiệp, Công ty Điện lực Thái Nguyên đã và đang triển khai nhiều giải pháp để đảm bảo cung ứng điện phục vụ sản xuất và nhu cầu tiêu dùng của người dân ở địa phương.Bước vào cao điểm mùa nắng nóng năm 2026, nhu cầu sử dụng điện trên địa bàn tỉnh Thái Nguyên được dự báo tiếp tục tăng cao, đặc biệt tại các khu công nghiệp, khu vực sản xuất thép, cơ khí, điện tử và phụ tải sinh hoạt dân cư. Công suất sử dụng điện cực đại của khách hàng trong những ngày nắng nóng vừa qua ở tỉnh Thái Nguyên (Pmax) luôn ở ngưỡng 1.240 MW/ ngày, tăng 8,5 so với cùng kỳ năm 2025. Trước những biến động thời tiết nắng nóng cực đoan, theo dự báo công suất sử dụng điện cực đại (Pmax) năm nay sẽ vào khoảng 1.375 MW tăng 10,3% so với năm trước.Để đáp ứng nhu cầu sử dụng điện tăng cao, Công ty Điện lực Thái Nguyên tập trung triển khai đồng bộ nhiều giải pháp nhằm bảo đảm cung ứng điện an toàn, ổn định, liên tục. Ông Ninh Vân Phong, Phó Giám đốc Công ty Điện lực Thái Nguyên cho biết:Để đảm bảo cung ứng điện mùa nắng nóng Công ty Điện lực Thái Nguyên đã chủ động các biện pháp, công tác đầu tư xây dựng đã triển khai hoàn thành trước mùa nắng nóng, tống kiểm tra rà soát toàn lưới điện, tiến hành diễn tập xử lý sự cố, cứu nạn, cứu hộ trên địa bàn toàn tỉnh áp dụng trong cung ứng điện, đặc biệt mùa nắng nóng, mưa bão trong năm 2026.

Google just dropped a PMax special — and there's a lot to unpack.In this episode of Growing Ecommerce, Mike Ryan and Chris break down three major updates reshaping how ecommerce advertisers run Performance Max and Shopping campaigns in 2025:1. Network exclusions for PMax: You can now opt out of Search Partner Network AND Google Display Network directly inside PMax. Years in the making, and a massive lever for both performance and brand safety. We walk through why it matters, when to use it, and how to check your own data first.2. Shopping Performance View: A new level of product-level reporting coming to PMax and Demand Gen campaigns via the Google Ads API. See performance by brand, category, product type, and item ID — the same parity you get in standard Shopping. Huge for anyone who's tried and failed to understand feed performance inside Max.3. AI Max for Shopping: The biggest one. Google is rolling out an optional AI layer for standard Shopping campaigns with three features:- Text customization: Google rewrites your product titles dynamically per query- Final URL expansion (FUE): Google picks landing pages from your site — including category pages- Optimal format selection: Text ads can now appear inside your Shopping campaignsWe discuss what this means for advertisers who run standard Shopping for control, whether there's real redundancy with Search and PMax, the campaign overlap and CPC escalation risk, and why Mike thinks this is actually bigger than AI Max for Search.Standard Shopping: confirmed not dead. Google is investing in it.Growing Ecommerce is brought to you by smarter ecommerce (smec) — helping online retailers optimize paid search through AI-powered software and human PPC expertise.#PerformanceMax #PMax #GoogleShopping #AIMaxForShopping #GoogleAds #EcommerceMarketing #PPC #SearchPartnerNetwork #GoogleAdsUpdates #PaidSearchAbout Smarter Ecommerce (smec):Smarter Ecommerce (smec) empowers e-commerce brands with AI-driven PPC automation that optimizes for profit and business outcomes while maintaining strategic control.The platform activates first-party data - profit margins, customer lifetime value, and key business metrics - to automate campaign optimization toward goals like profitability and efficient growth, while detailed campaign insights provide full transparency and enable PPC teams to focus on strategic oversight rather than manual execution.As a Google Premier Partner and three-time Microsoft Retail Partner of the Year, smec manages over €500 million in ad spend and drives €5B+ in annual e-commerce revenue for 350+ global retail clients including THG, Snipes, REWE, and Intersport.Make sure to follow smec - Smarter Ecommerce for more performance marketing insights:smec - Smarter Ecommerce: https://www.smarter-ecommerce.comLinkedIn: https://linkedin.com/company/smarter-ecommerce-gmbhNewsletter: https://smarter-ecommerce.com/en/newsletter/Instagram: https://www.instagram.com/smarterecommerce/

Pmax unpacks the planned changes to the NZ Social Studies curriculum.

The team has been let loose to create chaos this week. We discuss Education reforms, the recently announced citizenship test, Local Government reforms, BSA disestablishment, and a quick check in on UK politics and Starmerismo.In a 1/200 first, this episode requires a BSA warning.This episode's co-hostsJohn, Ginny, Pmax, SimoneIntro/Outro by The Prophet MotiveSupport us here: https://www.patreon.com/1of200

Episode description In this episode of Next in Media, Mike Shields sits down with Kristina Canada, CMO at Net Conversion, a 19-year-old independent marketing and analytics agency based in Orlando that's in the middle of a serious growth push — with a new Chicago office, a recent acquisition of CTV specialists Elevate the Outcome, and a philosophy rooted in measurable business outcomes over vanity metrics. Kristina and Mike dig into why independent agencies are experiencing a renaissance right now as clients seek out agility and transparency. They unpack Net Conversion's approach to making CTV a true performance channel without losing the brand-building benefits, and get into the agency's pragmatic but skeptical stance on AI — from arguing with Google reps about Performance Max to building their own internal chatbot and copilot tools for analysts. Key Highlights

Timestamps - 0:00 Intro 1:28 Patient just cleared to walk — 8 cm femur success story2:40 What's included vs. billed extra — complications cost breakdown4:50 Is 44 too old for limb lengthening? 6:00 Tibia lengthening and athletic performance — what you actually lose8:30 Why taller starting patients hit 8 cm more easily9:02 PMAX why weight-bearing nails change everything10:33 Can you reverse limb lengthening? Shortening explained12:05 Age and recovery — does younger always mean faster healing?15:17 Proportions deep dive — when does lengthening start to look off?17:48 Choosing a surgeon — green flags you actually want to see19:04 How consultations with Victor work — email, calendar, WhatsApp20:18 Limb Lengthening PRO — what it is and who it's for20:44 Wingspan vs. height — the 10 cm golden rule explained23:26 Bow legs + tibia lengthening together — performance impact25:03 Dr. Paley complications track record28:51 3 cover stories to hide your limb lengthening surgery31:44 Wide legs / hip abduction during lengthening — IT band anatomy37:27 PMAX + quadrilateral 41:57 Live guest Paul — discrepancy patient, 2-year post-op update55:02 Live guest Davey — 1-month post-op femur from Montreal1:01:46 Live guest Loic — 21-year-old planning quads, asks about PMAX1:16:00 Discord cleanup + the recovery video channel idea1:34:17 OutroFind Links to Everything Here and Below: https://sleekbio.com/cyborg4life

Google just quietly won the agentic commerce war — and most ecommerce retailers haven't even noticed. In this episode of Growing Ecommerce, Mike Ryan and Chris break down the three UCP (Universal Commerce Protocol) updates Google just shipped, why OpenAI's ACP is already falling behind, and the structural advantages that make Google's lead almost impossible to catch.If you run Performance Max campaigns, sell on Google Shopping, or want to understand where ecommerce is headed in the AI era — this is the episode that connects the dots.Inside this episode:The 3 new UCP capabilities that just went live: cart building, catalog capability, and identity linking — and why "boring" updates matter more than hypeWhy OpenAI's ACP dropped to single-item checkout while Google moved aheadThe Walmart Sparky chatbot inside ChatGPT — the workaround that proves OpenAI's pipeline is brokenHow Google Pay and Google Wallet quietly lock retailers into a walled gardenGoogle's flywheel: how the shopping graph + audience graph + structured knowledge graph data create a moat LLMs can't replicateWhy this time is different from Buy on Google's 2018 failure — and what changed in Google's leverage over retailersWhy pipeline-based agents (UCP) will win over browser-based agents — and how this is really the logical endpoint of headless commerceThe only thing that could realistically stop Google: regulatorsTopics covered: UCP, Universal Commerce Protocol, agentic commerce, Performance Max, PMax, Google Shopping, AI mode, ChatGPT shopping, OpenAI ACP, agentic checkout, Google Pay, Google Wallet, headless commerce, Merchant Center, knowledge graph, shopping graph, Walmart Sparky, AI overviews, conversational attributes.About Smarter Ecommerce (smec):Smarter Ecommerce (smec) empowers e-commerce brands with AI-driven PPC automation that optimizes for profit and business outcomes while maintaining strategic control.The platform activates first-party data - profit margins, customer lifetime value, and key business metrics - to automate campaign optimization toward goals like profitability and efficient growth, while detailed campaign insights provide full transparency and enable PPC teams to focus on strategic oversight rather than manual execution.As a Google Premier Partner and three-time Microsoft Retail Partner of the Year, smec manages over €500 million in ad spend and drives €5B+ in annual e-commerce revenue for 350+ global retail clients including THG, Snipes, REWE, and Intersport.Make sure to follow smec - Smarter Ecommerce for more performance marketing insights:smec - Smarter Ecommerce: https://www.smarter-ecommerce.comLinkedIn: https://linkedin.com/company/smarter-ecommerce-gmbhNewsletter: https://smarter-ecommerce.com/en/newsletter/Instagram: https://www.instagram.com/smarterecommerce/

Jeremy Packee and Emily Anderson break down March's biggest paid media updates, including OpenAI's shift away from experimental tools like Sora and Meta's continued push into AI-powered campaign management with Manus. They also explore Google's expanding Performance Max capabilities, new cross-channel budgeting tools in Google Analytics, and Apple's long-awaited move into ads within Apple Maps. The episode highlights major changes to attribution, increased visibility and control within automated campaign types, and the growing role of AI across reporting, creative, and media buying workflows. As automation accelerates, the hosts emphasize the continued importance of human strategy and oversight. Episode Highlights Biggest Shift Meta's move to click-only attribution removes engagement-based signals from conversion tracking, which could significantly impact reporting and perceived performance across accounts. Biggest Platform Signal OpenAI sunsetting Sora signals a broader shift away from consumer-facing AI experiments toward more scalable, revenue-driven products like ads and enterprise tools. New Feature to Test Google Analytics' cross-channel budgeting and scenario planning tool could become a major step toward unified performance forecasting—if the data proves reliable. Control Upgrade Microsoft finally introduces negative keyword lists in PMax, bringing much-needed control to a previously limited campaign type. Creative Reality Check Google's Veo video generation inside Asset Studio shows promise, but current outputs still lag behind tools like Canva and other creative platforms. Other Platform Updates • Meta is expanding Manus AI into Ads Manager and the Instagram Creator Marketplace • Google added more visibility to Performance Max, including budget pacing and audience insights • Apple is introducing ads in Apple Maps search and suggested locations • OpenAI is testing an Ads Manager for ChatGPT with early reporting features • Shopify is leaning into AI-powered product discovery within ChatGPT while maintaining native checkout • WordPress now allows AI agents to create and manage site content (with approvals) • Meta added new lifecycle targeting and expanded retargeting controls • Pinterest is pushing Performance+ campaigns as the default • Snapchat and TikTok continue expanding AI creative tools and premium placements • Instagram is testing post-publish carousel reordering Final Take AI is becoming deeply embedded across every major platform—but it's still not ready to replace human decision-making. The opportunity isn't in handing over control—it's in knowing where these tools can actually improve efficiency without sacrificing strategy. Follow The Click Brief for fast, no-fluff performance marketing updates. Visit The Click Brief blog for more in-depth analysis and updates from March

This week on Marketing O'Clock: Google's New PMax Budget Report is increasing spending transparency for advertisers & PMax's new Asset Group Theming feature helps high-performing asset groups transform for seasonal events or sales. Plus, the new Apple Business platform helps businesses manage devices and expand customer outreach.Visit us at - https://marketingoclock.com/

Are your B2B ads actually reaching humans? Dr. Augustine Fou (founder of Fou Analytics) joins Matt to expose exactly how ad fraud infiltrates Google, LinkedIn, Meta, Reddit, CTV, and programmatic — and the free, simple controls you can put in place today to stop burning budget on bots.Chapters:00:00 – Intro & Dr. Fou's Background05:37 – Google Search & Partner Network Fraud09:31 – Cookie Matching & Bot Impersonation13:58 – How to Control Google Ad Fraud17:27 – PMax & Inclusion Lists19:26 – Reddit Ad Fraud Explained22:17 – LinkedIn Audience Network: Turn It Off24:55 – CTV Fraud: What You're Really Buying34:21 – Why Programmatic Started the Problem37:50 – Inclusion Lists vs. Exclusion Lists41:05 – CPM is a Price, Not a Cost47:31 – Visual Tells: Pixel Stuffing, Non-Rendered Ads52:23 – Frequency Capping Failures#AdFraud #B2BMarketing #ProgrammaticAdvertising #LinkedInAds #GoogleAds #CTVAdvertising #BotTraffic #DigitalMarketing #B2BAdvertising #MarketingROI #FouAnalytics #mediabuying #AdTechWhat is ad fraud in B2B advertising?Ad fraud occurs when bots — not humans — are served your ads, clicking and loading them to generate fraudulent revenue for bad actors. It affects every major platform including Google, LinkedIn, Meta, Reddit, and CTV.How do I stop ad fraud on LinkedIn?Simply uncheck the LinkedIn Audience Network checkbox in your campaign settings. According to Dr. Augustine Fou, this one free action eliminates roughly 90% of the most obvious fraud on the platform.What is the difference between CPM as a price vs. a cost?CPM is a price per thousand impressions — not your total cost. A $3 CPM isn't cheaper than a $30 CPM if you're forced to buy 10x the impressions to hit your goals, most of which may be fraudulent.Is CTV advertising safe from ad fraud?No. Bad actors can fabricate CTV bid requests without owning any TV or streaming device, declaring fake inventory as premium placements. Independent third-party pixels are the only reliable way to verify where your CTV ads actually ran.What is an inclusion list in programmatic advertising?An inclusion list is a curated set of approved sites and apps where your ads are allowed to run. Since there are infinite fraudulent sites but a finite number of legitimate ones humans actually visit, starting with an inclusion list is far more effective than trying to block bad actors one by one.

Is the "clash of the titans" coming for your profit margins, and is Google about to take away your website traffic? In this episode of Growing E-commerce, Mike Ryan and Chris Sharma tackle two massive, existential shifts threatening the traditional online retail playbook.First, we dive into the aggressive European expansion of Chinese e-commerce giants. While JD.com (Joybuy) and SHEIN are making aggressive moves, Temu is completely taking over. We break down the official monthly active user data, revealing that Temu now commands a 40% overall market share in Europe – including a staggering 71.1% market share in Poland and 44% in Germany. Are European retailers simply becoming collateral damage in this war of attrition?Then, we unpack a recently granted Google patent that sounds like a sci-fi nightmare for marketers. The patent outlines a system where Google evaluates your landing page, and if it doesn't meet their qualitative standards, they will generate an AI replacement landing page within the ad ecosystem. We discuss what this means for the loss of your tracking data, zero-click purchases, and the ultimate "PMax-ification" of Google Ads.

If you want to know how your peers are actually handling the grind, the Google Ads updates, and the "AI takeover," this episode is a must-watch. We recorded a special edition of Growing Ecommerce live from SMX Munich! Host Mike Ryan is joined by Wijnand Meijer (Co-founder & CEO at TrueClicks) and Frederick Vallaeys (CEO at Optmyzr) to dive deep into the freshly released Global State of PPC 2026 Report.This isn't just another PDF to gather dust in your downloads folder. Driven by the team at TrueClicks and supported by top industry partners, it's an unfiltered reality check for the entire paid search industry. With 1,300+ respondents spilling the tea across 60+ charts and 14,000 words, we unpack the hard insights on agency billing, Performance Max workarounds, and why AI isn't saving us as much time as the tech bros promised.The Complexity Struggle: 53% of practitioners say managing PPC is harder than it was two years ago.Agency Operations: Agencies managing over $1M/month are doing so with 20% fewer people. Yet, 1 in 5 agencies still charge by billable hours (with heavy geographical differences: only 4-12% in the US/AUS vs. 25% in Europe).The PMax Paradox: 48% complain about a lack of granular control, leading to workarounds like standard shopping hybrids (37%) and feed-only builds (17%). Despite this, 65% are satisfied with their PMax results.The AI Elephant in the Room: On average, professionals report saving only 5.2 hours a week using AI. Furthermore, 70% state that quality and accuracy (hallucinations) are their biggest AI hurdles.The Tool Stack: Surprisingly, 62% of respondents don't use paid third-party tools for analysis or optimization, relying entirely on native interfaces and spreadsheets.Resources & Links:Read the full, unfiltered report for free at: www.ppcsurvey.comA massive thank you to Wijnand Meijer and the TrueClicks team for driving this monumental effort.Shoutout to all the fellow partners for making this happen: DataFeedWatch by Cart.com, God Tier Ads, Hero Conf, Optmyzr, Producthero, SMX Advanced Europe, Swydo, TrueClicks, and Smarter E-commerce (smec).Learn more about Smarter E-commerce: smarter-ecommerce.comAbout Smarter Ecommerce (smec):Smarter Ecommerce (smec) empowers e-commerce brands with AI-driven PPC automation that optimizes for profit and business outcomes while maintaining strategic control.The platform activates first-party data - profit margins, customer lifetime value, and key business metrics - to automate campaign optimization toward goals like profitability and efficient growth, while detailed campaign insights provide full transparency and enable PPC teams to focus on strategic oversight rather than manual execution.As a Google Premier Partner and three-time Microsoft Retail Partner of the Year, smec manages over €500 million in ad spend and drives €5B+ in annual e-commerce revenue for 350+ global retail clients including THG, Snipes, REWE, and Intersport.Make sure to follow smec - Smarter Ecommerce for more performance marketing insights:smec - Smarter Ecommerce: https://www.smarter-ecommerce.comLinkedIn: https://linkedin.com/company/smarter-ecommerce-gmbhNewsletter: https://smarter-ecommerce.com/en/newsletter/Instagram: https://www.instagram.com/smarterecommerce/

In this episode of Growing E-commerce, Mike Ryan and Chris from Smarter Ecommerce (smec) tackle the massive news that DSA's time on Earth is limited. With DSA going the way of the dinosaurs, Google is pushing advertisers toward AI Max for Search. But is it actually a worthy replacement?To find out, Mike breaks down the findings from his brand-new 18-page report, The Ultimate Guide to AI Max. After analyzing 1 year of data across more than 600 Google Ads search campaigns, the numbers tell a nuanced story about incrementality versus efficiency.We cover exactly what AI Max is, how it overlaps with PMax and Broad Match, and the real cost of those "incremental" conversions. If you are a heavy DSA user, this is the exact data you need to start planning your migration strategy!

We discuss the latest developments in education, as child poverty increases and government attacks rough sleepers with 'move on orders'. Debate over ownership of Air NZ shows again that we refuse to learn from the past. There is a plan to share biometric data with the US, and finally some good news out of the UK as their left populist Greens win their first byelection.This episode's co-hostsPhilip, Pmax, Ginny, JohnTimestamps0:00 Opening / Introductions3:25 Education NZ26:37 Move On Orders41:04 Air NZ Shares49:19 Biometric Data57:44 The UK Report1:12:38 ClosingsIntro/Outro by The Prophet MotiveSupport us here: https://www.patreon.com/1of200

Vous pensez connaître Google Ads ?Si vous n'y avez pas touché depuis trois à cinq ans, il est probable que vous soyez déjà en décalage. Dans cet épisode, j'échange avec Alexandre Falck, expert SEA et fondateur de l'agence Le Mage du SEA, pour comprendre ce qui a profondément évolué.Nous parlons audiences, automatisation, PMax, IA Overview, conversion offline… et surtout de ce que ces changements impliquent concrètement pour votre business.Vous pouvez retrouver Alexandre Falk sur linkedin, son site ou sa newsletter.---------------Pensez à vous abonner au Podcast du MarketingÀ rejoindre ma  newsletterEt à me laisser un  avis 5 étoiles sur iTunes ou Spotify---------------Vous pouvez aussiVous rendre visible en sponsorisant le Podcast du Marketing ou sa newsletterGagner en clarté avec mes accompagnements marketingMe faire intervenir sur une conférenceMe suivre sur LinkedinCMO, webinaire, base email, cas concrets, stratégie ia, openai et gpt, contenu long, chatgpt et ia, omnicanalité, algo linkedin, positionnement, valeur client, marketing digital, actualité seo, geo, lancement offre, parcours client, directeur marketing, directrice marketing, interview de cmo, relation presse, relations presse, inbound marketing, créer du contenu, conseils d'experts, stratégie client,Digital, email marketing, formation marketing, influence digitale, landing page, lead magnet, mailing list, management, marketeux, marketing digital, stratégie marketing, stratégie de marque, branding, stratégie de communication, emails automatisés, erreurs marketing, stratégie d'acquisition, digital, stratégie marketing, mailing list, formation marketing, accompagnement marketing, sprint marketing, advocacy marketing, conseil marketing.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

In this episode of Growing eCommerce, Mike Ryan and Chris debunk three persistent myths that are still holding retailers back in 2026. While everyone is distracted by the hype of UCP and Agentic Commerce, many accounts are bleeding efficiency due to outdated structures like the "Heroes & Zombies" matrix and one-dimensional margin buckets.We break down why these old-school tactics create self-fulfilling prophecies of failure and share what sophisticated retailers are doing instead to balance volume, margin, and the new reality of AI-driven search.In this episode, we cover:The "Zero Click" Wake-Up Call: Why the shift to walled gardens means you need to fix your tactical basics now before the ecosystem changes forever.Myth #1: Heroes & Zombies: Why classifying low-volume products as "zombies" is a logical flaw that starves your potential growth engines. We explain the danger of using historical data to doom new products.Myth #2: Margin Buckets: Why segmenting campaigns by gross margin % (e.g., 0-5%, 5-10%) is dangerous. Mike shares data showing how this ignores conversion volume and pricing strategies, leading to "death by optimization."Myth #3: PMax vs. Standard Shopping: It's no longer an either/or decision. We discuss the rise of hybrid setups and why Standard Shopping is actually gaining cost share again.Key Takeaways:Don't rely on single-dimensional data: Grouping products solely by ROAS or Margin % ignores critical context like seasonality, price competitiveness, and absolute profit.Standard Shopping isn't dead: Even Google is now advocating for hybrid use cases, such as using Standard Shopping for query filtering or specific inventory control.+1The "Self-Fulfilling Prophecy": If you put a new product in a "zombie" campaign with low budget because it has no data, it will never get data. You need a multi-dimensional scoring strategy.About Mike RyanBased in Austria and originally from Boston, Mike Ryan is Head of Ecommerce Insights at Smarter Ecommerce (smec). With 10+ years in retail and PPC, and experience across retail operations, product management, and digital advertising, he helps online retailers turn data into strategies that improve performance in a highly competitive market.About Christian ScharmüllerChristian Scharmüller is CCO & Managing Director at Smarter Ecommerce and a long-time expert in PPC and e-commerce. With 12+ years in ad tech, he's a regular speaker at major industry events such as SMX and OMR, sharing insights on e-commerce strategy and the future of retail media.About Smarter Ecommerce (smec) Smarter Ecommerce (smec) helps e-commerce brands scale profitably with AI-driven PPC automation—optimizing for business outcomes while keeping strategic control in the hands of marketers. The platform activates first-party data (e.g., margins, CLV, core business metrics) to automate campaign optimization toward profitability and efficient growth, with transparent insights that reduce manual work and free teams for strategic oversight. As a Google Premier Partner and three-time Microsoft Retail Partner of the Year, smec manages €500M+ in ad spend and drives €5B+ in annual e-commerce revenue for 350+ global retail clients, including THG, Snipes, REWE, and Intersport. Follow smec for performance marketing insights: Website: smarter-ecommerce.com LinkedIn: linkedin.com/company/smarter-ecommerce-gmbh Newsletter: smarter-ecommerce.com/en/newsletter/ Instagram: instagram.com/smarterecommerce

Episode NotesOpenAI Tests Ads in ChatGPTAds rolling out to Free and Go users in the U.S.~$60 CPM chatter for high-intent queriesStrict privacy guardrails emphasizedRelevancy and user trust will determine long-term viabilityTikTok Smart Plus + Platform UpdatesSmart Plus automation reduces manual setupTikTok One centralizes creator tools and productionPulse Suite expands premium adjacency optionsMarket Scope introduces deeper first-party analyticsGoogle's Agentic Commerce PushUniversal Commerce Protocol (UCP) standardizes AI-to-retailer communicationAI Mode and Gemini enable direct checkout within the interfaceBranded AI agents and in-AI offers reshape the purchase journeyStructured product data becomes increasingly criticalOther Platform UpdatesGoogle expands PMax controls and budget optionsMicrosoft introduces Copilot checkoutPinterest highlights Gen Z's pushback against algorithmic samenessSuper Bowl AI Ad ReactionsOpenAI: “You can just build things” — inspirational but abstractAnthropic (Claude): Anti-ad positioning with humorGoogle Gemini: Emotional, practical demonstration of real-world AI useFollow The Click Brief for fast, no-fluff performance marketing updates.Visit The Click Brief blog for more in-depth analysis and updates from January

Junto a Rafa Carbayeda repasamos todas las fases de la creación de campaña de Google Ads para Ecommerce, desde ver como clasificaremos los productos a montar las campañas e incluso pasando por la optimización. 4:06 Presentación de Rafa Carbayeda8:45 Estrategia Inicial para Clientes de E-commerce12:53 E-commerce Pequeños vs. Grandes15:34 Separación de Productos en Campañas24:50 Uso de Etiquetas Personalizadas26:37 Importancia de Rellenar Atributos del Feed31:51 Optimización de Imágenes en el Feed44:45 Comparativa entre PMAX y Shopping50:59 Estrategias de Segmentación en Campañas57:45 Introducción a los CSS1:06:33 Futuro de la Publicidad con ChatGPT1:08:24 Recursos y Errores Comunes en Google Ads1:13:17 Preguntas Rápidas y Consejos FinalesURL Episodio: https://ppccast.com/podcast/275-estructuracion-de-campanas-de-ecommerce-en-google-ads-con-rafa-carbayedaPPCFest: ppcfest.comPPCCast+: ppccast.com/plusPatrocinadoresRaiola Networks: ppccast.com/raiolaData Feed Watch: ppccast.com/datafeedConvertiam: ppccast.com/convertiam 

This week on Marketing O'Clock: Google reports its biggest revenue & ad revenue to date. Also, the February Google Discover Core Update is Rolling out. Plus, Google is now offering Network Segmentation via API for PMax. Visit us at - https://marketingoclock.com/

1/200 is back for 2026! We round-up education possibilities for the year, discuss climate discourse, modern slavery and the utter failure of establishment media to interrogate or even present the truth in the face of far-right acceleration in NZ politics.This episode's co-hostsStephanie, Pmax, KyleTimestampsIntro/Outro by The Prophet MotiveSupport us here: https://www.patreon.com/1of200

As you advertise locally, advertise your localness! Then, what's a small firm to do in the sea of reviews? And, we really hate Google's Performance Max nonsense.  ----- Lots to cover today, folks! Being connected to your community matters, and consumers respond with notable positivity to ads that emphasize all the local feels. Gyi and Conrad have plenty of insights on making the most of where you're planted. Next, fake reviews keep pouring in, and you need a clear strategy to rise above the flood. The guys share tactical tips for directing your resources to become a strong competitor in your marketplace. And, lastly, Google's PMax campaigns are a mighty unfunny joke. Ugh. The data is in, and—surprise, surprise—Google might not have your best interest at heart. Gyi and Conrad pick apart the latest data to help you understand what these campaigns are (not) doing for your law firm.    The News: OpenAI put this out there: Our approach to advertising and expanding access to ChatGPT. And, just to remind you all, at one point they told us ads were definitely not in the game plan. But… qué será, será, eh?  Near Media's “Near Memo” podcast welcomed our very own Gyi for a chat you should definitely go listen to: AI Is Breaking Local Search—But Google Still Decides Who Gets Chosen   Mentioned:  Al Ludwig's LinkedIn post    Listen Next: Conrad's Crystal Ball V: Lawyer Marketing Predictions for 2026     Connect: The Bite - Lunch Hour Legal Marketing Newsletter! Leave Us an Apple Review  Lunch Hour Legal Marketing on YouTube  Lunch Hour Legal Marketing on TikTok r/LHLM 

This week on Marketing O'Clock: Campaign total budgets are rolling out globally for Search, PMax, and Shopping. Also, Google introduces the Universal Commerce Protocol and Direct Offers in AI Mode. Plus, Gemini launches Personal Intelligence.Visit us at - https://marketingoclock.com/

The Meta platform continues to evolve, leaving marketers with mixed feelings. While some fear the loss of control, others are already seeing extraordinary results. Today, we revisit a lab live session we had on Meta's new Advantage+ sales system and share a game-changing creative strategy you'll want to try.We're hosting John Moran, who has spent over $1 million testing Meta's updates in real time. We discuss the shift from traditional targeting to AI-driven strategies in Meta's Advantage+ campaigns. John reveals how advertisers are now at the mercy of the algorithm, with little control over exclusions or targeting. However, we'll also show you how to fight back with custom event cAPI imports, a strategy that's helping us regain some of the control Meta has taken away. Plus, we break down the shifts in creative testing, campaign structures, and customer targeting to keep you ahead of the curve.In This Episode:- Advantage+ campaigns vs. manual setup- Results from testing Meta's algorithmic shift- How is Advantage+ different from PMax?- Testing Advantage+ for new customer acquisition- Merging Advantage+ with cAPI imports- Custom event cAPI imports explained- Step-by-step process of setting up Advantage+ campaigns- Inclusions and exclusions with the cAPI strategy- Regaining control with new creative strategiesMentioned in the Episode:Episode 691: The MAJOR Meta Advantage+ Changes You Must Know: https://perpetualtraffic.com/podcast/episode-691-the-major-meta-advantage-changes-you-must-know/ Meta Advantage + Breaking News! | Tier 11 Live! https://www.youtube.com/watch?v=j9-nEIymAkw Get Your nCAC Calculator Now! https://www.tiereleven.com/ncac Tier 11 Data Suite: https://www.tiereleven.com/what-we-do/data-suite Partner with Tier 11's digital marketing experts: https://www.tiereleven.com/apply Listen to This Episode on Your Favorite Podcast Channel:Follow and listen on Apple: https://podcasts.apple.com/us/podcast/perpetual-traffic/id1022441491 Follow and listen on Spotify:https://open.spotify.com/show/59lhtIWHw1XXsRmT5HBAuK Subscribe and watch on YouTube: https://www.youtube.com/@perpetual_traffic?sub_confirmation=1We Appreciate Your Support!Visit our website: https://perpetualtraffic.com/ Follow us on X: https://x.com/perpetualtraf Connect with John Moran:LinkedIn -

This week on Marketing O'Clock: Google's latest test blends AI Overviews with AI Mode. Also, PMax reporting now reveals how Search Partner traffic performs.Nils Rooijmans - LinksFree Google Ads Scripts Library - The Ultimate List – Nils RooijmansMy Daily Newsletter with tips & tricks:https://nilsrooijmans.com/daily/Custom GPT: Google Ads Script Senseihttps://tinyurl.com/ScriptSenseiVisit us at - https://marketingoclock.com/

This week on Marketing O'Clock: Google rolls out AI-assisted brand query filters in Search Console, launches Nano Banana Pro for Gemini 3 image generation in Google Ads, and confirms that “Brand Inclusions” in Shopping was a UI bug. Also, Gemini 3 now powers AI Mode, and search volatility continues.Visit us at - https://marketingoclock.com/Try Cookiebot - http://marketingoclock.com/cookiebot

This week on Marketing O'Clock: Three new Performance Max updates, including Waze inventory for store campaigns, and more channel reporting visibility — plus, Sam Altman hints at advertising on ChatGPT, and Google Merchant Center debuts a video asset management feature.Visit us at - https://marketingoclock.com/Try Cookiebothttp://marketingoclock.com/cookiebot

In this episode of PPC Live The Podcast, Anu Adegbola interviews Susan Yen, a seasoned PPC strategist, discussing her journey from New England to Texas, her experiences at Brighton SEO, and the importance of a holistic approach to marketing. They delve into the significance of proper campaign structuring, the challenges of Performance Max campaigns, and the necessity of transparency and accountability in client relationships. Susan emphasizes the importance of testing, learning from mistakes, and the evolving role of AI in marketing, advocating for a balance between automation and human creativity.TakeawaysSusan has over eight years of experience in PPC and performance marketing.She emphasizes the importance of a holistic approach to marketing strategies.Account structuring is crucial for successful PPC campaigns.Performance Max campaigns require careful setup and monitoring.Transparency with clients about mistakes fosters trust and accountability.Testing and adaptation are essential in the ever-changing marketing landscape.AI should assist, not replace, human creativity in marketing.Mistakes are learning opportunities that should be openly discussed.Proper training in fundamentals is necessary before using AI tools.The role of PPC experts remains vital in the age of AI. 00:00 Introduction and Background02:58 The Importance of Account Structure in PPC05:50 Celebrating Mistakes and Learning from Them08:45 Navigating PMAX Campaigns and Conversion Tracking11:51 Transparency and Client Communication14:54 Setting Expectations and Embracing Change18:21 Client Communication and Accountability22:21 Learning from Mistakes and Team Management24:57 The Role of AI in Marketing33:26 The Importance of Fundamentals in PPCFind Susan on LinkedIn, SearchLab, PPC Real TalkBook a coaching call with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Anu⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠PPC Live The Podcast features weekly conversations with paid search experts sharing their experiences, challenges, and triumphs in the ever-changing digital marketing landscape.The next ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠PPC Live London⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ event is on October 22ndFollow us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠WhatsApp Group⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Newsletter⁠

Ready to scale your ads with precision? Apply now to access Tier 11's expert strategies and unlock smarter, data-driven growth for your business!Schedule a discovery call: https://www.tiereleven.com/apply-now Are you struggling to scale your Google Ads campaigns without losing profitability? In this episode, we compare Standard Shopping and Performance Max campaigns, two of Google Ads' most popular scaling strategies. After moving $40,000 between the two strategies, John Moran breaks down the performance data, including customer acquisition, return on ad spend (ROAS), and conversion rates. The results show that while PMax often promises more efficient scaling, Standard Shopping consistently delivers similar, if not better, results in certain scenarios. Whether you're an agency or a solo marketer, understanding the strengths and weaknesses of each approach can lead to smarter, more profitable ad strategies. Join the conversation now and start scaling your Google Ads the right way!In this episode:- Introduction to the ad flow funnel- Standard Shopping vs. Performance Max for scaling- Testing $40K swings between campaigns- Differences in results between PMax and standard shopping- Why Performance Max fails at scale- Final verdict: Standard Shopping wins at scalingListen to this episode on your favorite podcast channel:Follow and listen on Apple: https://podcasts.apple.com/us/podcast/perpetual-traffic/id1022441491 Follow and listen on Spotify:https://open.spotify.com/show/59lhtIWHw1XXsRmT5HBAuK Subscribe and watch on YouTube: https://www.youtube.com/@perpetual_traffic?sub_confirmation=1We appreciate your support!Visit our website: https://perpetualtraffic.com/ Follow us on X: https://x.com/perpetualtraf Connect with John Moran:LinkedIn: https://www.linkedin.com/in/johnmorangads Connect with Ralph Burns: LinkedIn - https://www.linkedin.com/in/ralphburns Instagram - https://www.instagram.com/ralphhburns/ Hire Tier11 - https://www.tiereleven.com/apply-now Connect with Lauren Petrullo:Instagram - https://www.instagram.com/laurenepetrullo/LinkedIn -

This week on Marketing O'Clock: Google upgrades PMax channel reporting and assets, OpenAI launches Instant Checkout with Etsy (Shopify coming soon), and Sora 2 debuts as OpenAI's latest video generation model.Visit us at - https://marketingoclock.com/Adzviser - https://adzviser.com/