Podcasts about ICP

Jordon Comstock is founder and CEO of BoomCloud, a vertical SaaS company serving dental practices with patient membership software. He started the company scrappy and bootstrapped, with no outside funding, after years in the dental industry managing his family's dental lab business. BoomCloud now does about $3M in ARR with roughly 600 dental practices and an 11-person team. The company helps dentists replace insurance-driven revenue with subscription-based patient memberships, creating higher margins and more predictable cash flow. BoomCloud has been profitable since 2016 and continues to grow steadily. Jordon shares hard-earned lessons about hiring too fast, why systems scale better than people, and how he uses AI to increase output without adding headcount. He also shares how narrowing ICP transformed sales and marketing and why he's committed to building a durable, profitable business instead of chasing a fast exit. Key Takeaways Bootstrap Talent Gap — VC-funded talent often struggles in capital-efficient environments that require ownership, speed, and scrappy execution. AI Is Leverage — AI tools helped BoomCloud increase marketing and product output without rebuilding a large team. Profit Creates Buffer — Staying profitable provided margin for mistakes and reduced stress during periods of experimentation. Slow Markets Matter — Vertical SaaS wins by matching the pace of conservative industries instead of forcing VC-style growth. Exit Isn't Required — Steady profits allow founders to "exit slowly" through distributions without selling the business. Quote from Jordon Comstock, Founder and CEO of BoomCloud "We say systems scale, people don't. And we're learning that now. Let's implement the systems first. It doesn't mean people aren't important. People are important. But they have to have a system or a process first. "We've got to build it as a company and build that foundation first. When we hired a director of marketing and said, okay, you got to generate, you know, a thousand leads a month is what we were trying to do. And he couldn't do it because he didn't have systems. Fast forward a year, we implemented SEO systems to drive consistent traffic. And we convert that traffic into leads and now a thousand leads in a month is automatic. Because we have systems. We don't have a director of marketing anymore. I guess it's me, me with systems and AI. Links Jordon Comstock on LinkedIn Boomcloud on LinkedIn Boomcloud website Podcast Sponsor – Designli This podcast is sponsored by Designli, a digital product studio that helps entrepreneurs and startups turn their software ideas into reality. From strategy and design to full-scale development, Designli guides you through every step of building custom web and mobile apps. Learn more at designli.co/practical. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

Send me a text (I will personally respond)Are you a sales or marketing leader at a cybersecurity company trying to accelerate your growth but hitting roadblocks with your ICP, pipeline generation, or scalability? Ever wondered how moving from a big company to a startup changes your playbook, and career mindset? Are you struggling to get your team focused on the right opportunities versus burning out on dead-end deals? This episode holds actionable insights for you.In this conversation we discuss:

Send us a textIn this episode of the B2B Go-To-Market Leaders Podcast, Vijay Damojipurapu sits down with Joseph Sirosh, Founder & CEO of CreatorsAGI, to explore how go-to-market strategy fundamentally changes in the age of AI, and why trust, differentiation, and customer clarity matter more than ever.With nearly three decades of experience leading AI initiatives at FICO, Amazon, Microsoft Azure, Compass, and Alexa Shopping, Joseph shares rare behind-the-scenes insights into how AI products actually make it to market, from early neural networks and fraud detection to today's agentic AI systems.The conversation spans founder-led sales, product-led vs. sales-led growth, and why AI forces companies to rethink how customers discover, evaluate, and trust complex products.They dive into:How Joseph defines GTM as ICP clarity plus differentiated value, not tactics or channels.Why GTM is never static and must evolve alongside product and customer maturity.The role of trust in B2B buying, and why buyers are betting their careers on your product.Lessons from selling AI at hyperscale versus starting from zero as a founder.Why product-led growth resembles DevOps for go-to-market.When sales-led growth is unavoidable and why complex products demand partnership selling.The early pivot from creator-focused AI to B2B agentic AI at Creators AGI.A real GTM success story showing how AI agents cut sales cycles in half.Why customers can't always tell you what AI product to build, and what founders should do instead.Practical advice for founders building GTM motions around emerging, fast-moving technology.This episode is a masterclass in AI-native go-to-market strategy, blending deep technical insight with real-world GTM execution from one of the industry's most experienced AI leaders.Connect with Vijay Damojipurapu on LinkedInConnect with Joseph Sirosh on LinkedInBrought to you by: stratyve.com

Want to book amazing podcast guests that actually match your ICP? In this solo episode of Pipe Dream, host Jason Bradwell shares his playbook for finding and booking ideal guests without turning the interview into a thinly veiled sales pitch. Jason starts with the elephant in the room: yes, you can invite guests who are also potential customers, but you cannot Trojan horse them. If you bring someone on the show and pitch them live, you create a bad experience for the guest, your audience, and your reputation. The rule is simple: content-first, always. Focus on a great conversation and a genuine value exchange, then let the relationship deepen naturally over time. Next, he breaks down where to find great guests. First: your immediate network. Start with executives, employees, customers, partners, and trusted connections, people who already know you and will say yes faster. Those first few episodes build credibility and social proof, which makes outreach to strangers dramatically easier. Second: your CRM. Jason recommends targeting lapsed prospects accounts you haven't engaged with in weeks or months and using the podcast as a re-engagement mechanism. If you run an ABM strategy, this is especially powerful: you can target high-fit accounts, invite the right people, and start meaningful conversations without a sales agenda. From there, Jason walks through prospecting tools. LinkedIn Sales Navigator helps with demographic and firmographic targeting, and tools like Apollo and Clay can help you build precise guest lists at scale. But the sleeper channels are Slack communities and conference speaker lists. In industry-specific Slack groups, people don't ignore direct notifications the way they do email or LinkedIn DMs. Jason notes content-first outreach can reach 60–70% response rates in the right communities. And conference speakers are already primed to share expertise, so their speaking topic becomes an easy hook to start the conversation. Once you've built your target list, Jason outlines a two-step outreach sequence. Message one is intentionally short: introduce the show, explain why you're reaching out to them, and ask if they'd like more details, no episode pitch, no long explanation. Message two comes after they've shown interest: reinforce why it's worth their time (downloads, guest lineup, maybe even payment) and share a personalised episode angle based on their experience, proving it's a real content opportunity, not random outreach. 00:00 - Introduction: Finding and booking dream guests 01:00 - The Trojan horse trap: content-first always 02:30 - Where to find guests: start with your network 04:00 - Mining your CRM for lapsed prospects 05:30 - Using LinkedIn, Apollo, and Clay for targeting 07:00 - Sleeper channels: Slack communities and speaker lists 09:00 - The two-message outreach sequence 11:30 - Message one: gauge interest only 12:30 - Message two: personalise and reinforce value 14:00 - How to get 60-70% response rates Connect with Jason Bradwell on LinkedIn Check out several tools in building guest lists: HubSpot CRM Clay Apollo Explore B2B Better website and the Pipe Dream podcast 

Commenting is up 24% quarter over quarter on LinkedIn.That number matters more than most people realize.It tells us three very clear things about what's actually working right now.First:- People are hungry for thoughtful, meaningful conversations.- Quick takes and surface-level posts get seen.- But content that makes people think is what gets talked about.Second:- Who you connect with matters more than how many people you connect with.- When your network is aligned with your ICP or true business allies, engagement becomes natural instead of forced.Third:- Thought leadership and educational content win when it's created for a specific audience.- Generic content gets scrolled past.- Content that speaks directly to your ICP invites comments, discussion, and real relationships.Here's the takeaway most people miss:Visibility isn't the goal anymore.Conversation is.If you want more reach, more trust, and more inbound opportunities, stop chasing volume and start building dialogue with the right people.That's what this episode breaks down step by step.Don't forget to register for our LinkedIn workshop here:https://www.thetimetogrow.com/AtoEonLinkedinWorkshop

Jason William Johnson, PhD, Founder of SoundStrategist, is driven by two lifelong passions: creating and teaching. Through SoundStrategist, Jason designs AI-powered learning experiences and intelligent coaching systems that blend music, gamification, and experiential learning to drive real skill development and engagement for enterprises and entrepreneur support organizations. We explore Jason's journey as a musician, educator, and business coach, and how he fused those disciplines into an AI-first company. Jason shares his AI for Deep Experts Framework, showing how subject-matter experts can identify an industry pain point, envision a solution, brainstorm with AI, leverage AI tools to build it, and go after high-value impact—turning deep expertise into scalable products and platforms without needing to be technical. He also explains how AI accelerates research and product design, how “vibe coding” enables rapid MVP development, and why focusing on high-value B2B impact creates faster traction with less complexity. — Turn Your Expertise Into Software with Jason W. Johnson Good day, dear listeners. Steve Preda here, the Founder of the Summit OS Group, developing the Summit OS Business Operating System. And my guest today is Jason William Johnson, PhD, the Founder of SoundStrategist. His team designs AI-powered learning experiences and deploys intelligent coaching systems for enterprises and entrepreneur support organizations blending music, gamification, and experiential learning to drive real skill development and engagement. Jason, welcome to the show.  Thanks for having me, Steve.  I’m excited to have you and to learn about how you blend music and learning and all that together. But to start with, I’d like to ask you my favorite question. What is your personal ‘Why’ and how are you manifesting it in your business?  I would say my personal ‘Why’ is creating and teaching. Those are my two passions. So when I was younger, I was always a creative. I did music, writing, and a variety of other things. So I was always been passionate about creating, but I’ve also been passionate about teaching. I've been informally a teacher for my entire adult life—coaching, training. I've also been an actual professor. So through  SoundStrategist, I’m kind of combining those two passions: the passion for teaching and imparting wisdom, along with the passion for creating through music, AI-powered experiences, gamification, and all of those different things. So I'm really in my happy place.Share on X  Yeah, sounds like it. It sounds like you're very excited talking about this. So this is quite an unusual type of business, and I wonder how do you stumbled upon this kind of combination, this portfolio of activities and put them all into a business. How did that come about? So Liam Neeson says, “I have a unique combination of skills,” like in Taken. I guess that's kind of how I came up with SoundStrategist. I've pretty much been in music forever. I've been a musician, songwriter, producer, and rapper since I was a child. My father was a musician, so it was kind of like a genetic skill that I kind of adopted and was cultivated at an early age. So I was always passionate about music. Then got older, grew up, got into business, and really became passionate about training and educating. So I pretty much started off running entrepreneurship centers. My whole career has been in small business and economic development. SoundStrategist was a happy marriage of the two when I realized, oh, I can actually use rap to teach entrepreneurship, to teach leadership skills, and now to teach AI and a variety of other things.Share on X So pretty much it was just that fusion of things. And then when we launched the company, it was around the time ChatGPT came out. So we really wanted to make sure we were building it to be AI-first. At first, we were just using AI in our business operations, but then we started experimenting  with it for client work—like integrating AI-powered coaches in some of the training programs we were running and things like that. And that really proved to be really valuable, because one of the things I learned when I was running programs throughout my career was you always wanted to have the learning side and the coaching side. Because the learning side generalizes the knowledge for everybody and kind of level-sets everybody.Share on X But everybody’s business, or everybody’s situation, is extremely unique, so you need to have that personalized support and assistance. And when we were running programs in the entrepreneurship centers I were running and things like that, we would always have human coaches. AI enabled us to kind of scale coaching for some of the programs we’re building at SoundStrategist through AI. So with me having been a business coach for over 15 years, I knew how to train the AI chatbots. It started off as simple chatbots, and now it's evolved into full agents that use voice and all those other capabilities. But it really started as, let's put some chatbots into some of our courses and some of our programs to kind of reinforce the learning, personalize it, and then it just developed from there. Okay, so there's a lot in there, and I'd like to unpack some of it. When you say use rap to teach, I’m thinking about rap is kind of a form of poetry. So how do you use poetry, or how do you use rap to teach people? Is it more catchy if it is delivered in the form of a rap song? How does it work? So you kind of want to make it catchy. Our philosophy is this: when you listen to it, it should sound like a good song.Share on X Because there’s this real risk of it sounding corny if it's done wrong, right? So we always focus on creating good music first and foremost when we’re creating a music-based lesson. So it should be a good song. It should be something you hear and think, oh, between the chorus and the music, this actually sounds good. But then, the value of music is that once you learn the song, you learn the concept, right? Because once you memorize the song, you memorize the lyrics, which means you memorize the concept. One of the things we also make sure to do is introduce concepts. The best way I could describe this is this, and this might be funny, but I grew up in the nineties, and a lot of rappers talked about selling dr*gs and things like that. I never sold dr*gs in my life. But just by listening to rap music and hearing them introduce those concepts, if I ever decided to go bad, I would have a working theory, right? So the same thing with entrepreneurship, and the same thing with business principles. You can create songs that introduce the concepts in a way where if a person's never done it, they're introduced to the vocabulary.Share on X They’re introduced to the lived experiences. They’re introduced to the core principles. And then they can take that, and then they can go apply it and have a working theory on how to execute in their business. So that’s kind of the philosophy that we took, let’s make it memorable music, but also introduce key vocabulary. Let’s introduce lived experiences. Let’s introduce key concepts so that when people are done listening to the song, they memorize it, they embody it, and they connect with it. Now they have a working theory for whatever the song is about.  And are you using AI to actually write the song?  No, we're not. That’s one of the things we haven’t really integrated on the AI front, because the AI is not good enough to take what’s exactly in my head and turn it into a song. It’s good for somebody who doesn’t have any songwriting capability or musical capability to create something that’s cool. But as a musician, as somebody who writes, you have a vision in your head on how something should sound sonically, and the AI is not good enough to take what’s in my head and put it into a song. Now, what we are using are some of the AI tools like Suno for background music. So at first, we used that to create all our background music for our courses from scratch. We are using some of the AI to help with some of the background music and everything and all of that so that we can have original stuffShare on X as opposed to having to use licensed music from places like Epidemic Sound. So we are using it for like the background music. But for the actual music-based lessons, we're still doing those old school.  Okay, that's pretty good. We are going to dive in a little bit deeper here, but before we go there, I’d like to talk about the framework that you’re bringing to the show. I think we called it the AI for Deep Experts Framework. That's the working title right now, but yeah, we're still finalizing it. But that’s the working title. Yeah.  But the idea—at least the way I'm understanding it—is that if someone has deep domain expertise, AI can be a real accelerator and amplifier of that expertise. Yep.  So people who are listening to this and they have domain expertise and they want to do AI so that they can deliver it to more people, reach more people, create more value, what is the framework? What is the five-step framework to get them there?  Number one: provided that you have deep expertise, you should be able to identify a core pain point in your respective industry that needs solving.Share on X Maybe it’s something that, throughout your career, you wanted to solve, but you weren’t able to get the resources allocated to get it done in your job. Or maybe it required some technical talent and you weren’t a developer, or whatever, right? But you should be able to identify what’s the pain point, a sticking pain point that needs to be solved—and if it's solved, it could really create value for customers. That's just old-school opportunity recognition. Number two: now, the great thing about AI is that you can leverage AI to do a lot of deep research on the problem. So obviously, you're still going to have conversations to better understand the pain point further. You're going to look at your own lived experiences and things like that. But now you can also leverage AI tools—using Perplexity or Claude—to do deep research on a market opportunity. So whether or not you have experience in market research, you can use an AI tool to help identify the total addressable market. You can brainstorm with it to uncover additional pain points, and it help you flesh out your value proposition, your concept statement, and all of those things that are critical to communicating the offering. Because before we transact in money, we always transact in language, right? So pretty much, AI can help you articulate the value proposition, understand the pain point, all of those different things. And then also if you have like deep expertise and you haven't really turned it into a framework, the AI can help you framework it and then develop a workflow to deliver value.Share on X So now you have the framework, you have the market understanding, and all of those different things. AI can even help you think through what the product would look like—the user experience, the workflow, things like that. Now you can use the AI-powered tool to help you build that. You can use something like Lovable. You can use something like Bolt. You could use something like Cursor, all different AI-powered tools. For people who are newer to development and have never done development before, I would recommend something like Lovable or maybe Bolt. But once you get more comfortable and want to make sure you're building production-ready software, then you move to something like Cursor.  Cursor has a large enough context window—the context window is basically the memory of an AI tool. It has a large enough context window to deal with complex codebases. A lot of engineers are using it to build real, production-ready platforms. But for an MVP, Bolt and Lovable are more than good enough. So one of the things I recommend when building with one of these tools is to do what's called a PRD prompt. PRD stands for Product Requirements Document.Share on X For those who aren’t familiar with software development, typically, and this is not even really happening anymore, but traditionally with software development, you would have the product manager create a Product Requirements Document. So this basically outlines the goals of the platform, target audience, core features, database, architecture, technology stack, all of the different things that engineers would need to do in order to build the platform. So you can go to something like Claude, or ChatGPT, and you can say: “Create a PRD prompt for this app idea,” and then give as much detail as possible—the features, how it works, brand colors, all of those different things. Then the AI tool—whether you're using ChatGPT, Claude, or Gemini—will generate your PRD prompt. So it’s going to be like this really, really long prompt. But it’s going to have all of the things that the AI tool, web-building or app-building tool needs to know in order to build the platform. It’s going to have all the specifications. So you copy and paste.  Is this what people call vibe coding?  Yeah, this is vibe coding. But the PRD prompt helps you become more effective at vibe coding because it gives the AI the specifications it needs and the language that it understands to increase the likelihood that you build your platform correctly. Because once you build the PRD prompt, the AI is going to know, okay, this is the database structure. It's going to know whether this is a React app versus a Next.js app. It's going to know, okay, we're building a frontend with Netlify. The stuff that you may not know, the AI will know, and it will build the platform for that. So then you take that prompt, you paste it into Lovable, paste it into Cursor, and then you can kind of get into your vibe coding flow. Don't let the hype fool you, though, because a lot of people will say, “Oh, I built this app in 15 minutes using Lovable.” No—it still requires time. But if you can build a full-stack application in two weeks when it typically takes several months, that’s still like super fast. So pretty much, on average, you can build something in a couple of weeks—especially once you get familiar with the process, you can build something in a couple of weeks. But if this is your first time ever doing this, pay attention to things like when the app debugs and some of the other issues that come up.  Start paying attention because you’re going to learn certain things by doing. As you go through the process, you'll begin to understand things like, okay, this is what an edge function is, this is what a backend is. You’ll start learning these different things as you’re going through the process, right? So you get the platform built. Now the next step is you want to distribute the platform. So obviously, if you’ve been in your industry for a while and you have some expertise, you should have some distribution. You should have some folks in your space who are your ICP that you can kind of start having some customer conversations with and start trying to sell the platform. One of the things that I always recommend is going B2B and selling something for significant valueShare on X as opposed to going B2C and selling a bunch of $19.99 subscriptions. And the reason for that is a couple of different things. Number one, when you have to do a lot of volume, your business model becomes more complicated. And then you have to introduce things to manage that volume. Whereas if you’re selling a solution that’s a five-figure to six-figure offering, like 10 clients, 15 clients, the amount of money that you can get to with less complexity in your business model. So I always say go B2B, at least a five-figure annual offering, because I know most of the offerings that we offer are at least high five figures, low six figures—subscriptions, SaaS licensing, or whatever. And that way it just introduces less complexity to your business model, and it allows you to get as much revenue as possible. And then as you go to market, you’re going to learn. So the learning aspect, you’re going to learn maybe customers want this or this feature. We thought the people were going to use the platform this way, but they’re actually using it this way. So you’re always learning, always evolving, and adjusting the offering. Okay, so let's say I have deep expertise in some area—maybe investment banking or whatever. I want to use AI. I identify an industry pain point that I've addressed or maybe I personally experienced. I visualize a solution, then I brainstorm with ChatGPT or Claude or whatever, figure out what to do, and then I leverage AI tools like Cursor, Lovable, or Bolt. I set the price point. I go B2B. Is this something that, as a subject-matter expert, is efficient for me to do myself because I have the expertise and the vision? Or is it better for me to hire someone to do this?  It depends on what your bandwidth is. I mean, pretty much I’m of the firm belief that like these are skills that you probably want to unlock anyway. So it might be worth going through the process of learning the tools, leveraging them, and everything, and all of that. And that’s kind of how you future-proof yourself. Now, obviously, if you have bandwidth limitations, there are firms and organizations that you could hire, et cetera, et cetera, that can do it for you. Obviously, developers and things like that. But the funny thing about a lot of developers is, even though they're using AI, they're still charging the prices they charged before AI, right? They’re just getting it done faster, and their margins are a lot lower. So you're still going to pay, in a lot of instances, developer pricing for a platform. Those are the things that you have to consider as far as your own personal situation. But me personally, I believe these are skills worth unlocking.Share on X Because one of the things is, if you get very senior in your career—let's say you've been there 15, 16 years, 20 years—we all know there's this point where you either move up to the C-suite or you get caught in upper-middle-management purgatory, where you're kind of in that VP, senior director space, et cetera, et cetera, and you just kind of hover there. At that point, your career moves tend to be lateral—going from one VP role to another VP role, one senior director role to another senior director role, right? At that point, your income potential starts to get limited. So unlocking one of these skills and becoming more entrepreneurial is something I genuinely believe is worth developing personally. And what would you say is the time requirement for someone to get competent in vibe coding?  Three months minimal. You could be pretty solid in three months.  But three months full-time or three months part-time?  Three months part-time.  So three months. That's about 143 working hours in a regular month. So that's basically around 420–430 hours if you were full-time.  If you spend weekends working on your project, learning how to build it, taking notes, and actually going through the process, you can get pretty decent in a couple of months. Now, obviously, there are still levels as you continue and to progress and things like that, but you can get pretty solid in a couple months. Another thing you want to consider is who you're selling to. You obviously wanna make sure that your platform security is really well, is really done. So even if you build it yourself and then you have an engineer do code review, that’s cheaper than having them build it. I think if you spend three months, you can get really good at building solutions for what you need to get done. And then from there, you just get better and better and better and better.  How do I know that, let's say I hire someone in Serbia to do a code review for me? Let's say I learn the vibe coding thing and create the prototype, then I have someone to clean the code. How do I know that they did a good job or not?  You really don’t. You really don’t know until the platform’s in the wild, and it’s like, okay, it’s secure. So there are some things that you can do to check behind people. Let's say you don't have the money to do a full security audit or hire someone specifically for a security review, a developer for security review. One of the things that you can do is you can do multi-agent review. Like you take your codebase, have Claude review it, have OpenAI Codex review it, have a Cursor agent review it. You have multiple agents do a review. Then they kind of check each other’s work, if you will.  They kinda identify things that others may not have identified, so you can get the collective wisdom of those three to be able to be like, “Okay, I need to shore this up. I need to fix this. I need to address that.” That gives you more confidence. It still doesn’t replace a person who has deep expertise and making sure they build secure code, but it will catch common issues, like hard-coding API keys, which is a risk, right? It’ll catch those type of things that typically happen. But let’s say you do have a security, a code review, you could just kind of take that same approach also to check their work. Because they shouldn’t find any major vulnerabilities. The AI agents that come in after it shouldn’t really find any major vulnerabilities if it was like done securely securely. Another thing to consider is that a lot of these tools use Supabase for the backend and database. Supabase also has a built-in security advisor, including an AI security advisor, that points out security issues, performance problems, and configuration errors. So like you do have some AI-powered check and balances to check behind people.Share on X  Interesting. So basically, I can audit their applications, and the AI will check the code and tell me what needs to be improved?  Yeah. And they can make the fixes for you.  Yeah. Wow, that’s amazing. It still sounds a little bit overwhelming. It’s basically a language, a new language to learn, isn’t it?  It’s not really — it’s English. That’s the amazing thing about it—it’s English. I mean, you literally talk to AI in natural language, and it builds stuff for you, which is, if somebody is like, had a idea for a minute, because I mean, pretty much running entrepreneurship centers, I’ve known so many people who’ve had ideas that they were never able to launch or build, and then they see somebody build it later. If you learn these skills, you get to the point where anything that's in your head, you can kind of start bringing it to life in reality.Share on X And even if you've got to bring somebody in to make sure it's secure and production-ready, it's way cheaper than having them build it from scratch. And then another thing that you’ll find also is if you’re able to build something, let’s say you want to turn it into a startup or something, right? It’s a lot easier to bring in a technical co-founder when they don’t got to build the thing from scratch, and then they also see that you were able to build something, they’re able to see your product vision, et cetera, et cetera. It becomes a lot more easier to recruit people who actually have that expertise into the company because you’ve already handled the hard part. You got something and it works. And all they got to do is just come in, make it safe, and make it work better.  Yeah, that is very interesting. It feels analogous to writing a book yourself or having a ghostwriter. Because essentially, you are vibe coding with a ghostwriter, right? You tell the stories, and then the ghostwriter writes the book for you. Probably now you can use  AI to do that. Yep.  But that's a skill. Not everyone has the skill to write it themselves, and then they need to go to the ghostwriter, but still is their book, right?  Yep.  So it sounds a little bit similar. That’s fascinating. So what’s the path to launching an MVP? So let’s say I’m a subject matter expert, and I want to launch an MVP within a few weeks. Is there a path for me to go there?  Once you get good with the platform, once you get comfortable with the tools, yeah. So for example, we're launching an AI platform. It's an AI coaching platform, but it's also a data analytics platform. Basically, it's targeted to entrepreneur support organizations and municipalities supporting small businesses. So on the front end, it's an AI-powered advisor — it's a hotline that people can call 24/7. But on the back end, the municipalities and entrepreneur support organizations get access to analytics from each of those calls. We built this in two weeks. We’re already talking to customers, we’re already having conversations, and all of those things. We literally brought it to market in two weeks. So the thing is, once you kind of get caught up with the tools—and I'm not a developer, I'm not a developer by trade at all. I had a tech startup before, but I was a non-technical founder. I just know how to put together a product. But once you get good with the tools, that's very conceivable. And then you just go out there, and you go in the market, you start having conversations with your ideal customer profile.Share on X As you’re going through that process, you’re learning, okay, maybe this isn’t my ideal customer profile, this is their pain point. Or maybe instead of this being the feature they want, this is the feature they want. And the crazy thing about it is in the past you had to really get that ICP real tight and the feature set real tight because it cost so much money to go back and have to make tweaks and changes and to get it to market in the first place. Now, you can get a new feature added in the afternoon. It allows you to go to market a little bit faster. You don’t have to have the ideal feature set. You don’t have to have the ICP figured out. You get out there, you learn, and then you’re able to iterate a lot faster because the cost of development is super cheap now, and the speed in which like new features can be added or deprecated is a lot faster. So it allows you to go to market a lot faster than in the past.  Okay, I got it. You can do this, you can code. What do you recommend for someone who’s starting out? You mentioned Lovable, Bolt, and then Cursor. Is Cursor like an advanced product?  Cursor’s a little bit more advanced, but if you want to build production-ready software, it's something you're going to eventually have to use. But can you convert from Lovable to Cursor?  Yes, you can. Yep. So what you typically do — and I still do this to this day — is every time I launch a product, I build it in Bolt first. You could use Bolt or Lovable, either one's fine. I use Bolt because Bolt came out first, and that's what I started using. Then Lovable came out like a month later. But I use Bolt. I’ll spin up the idea in Bolt. And the reason I like doing it in Bolt or Lovable is that it's really good at doing two things. It's really good at quickly launching your initial feature set, and then spinning up your backend. Your database — it's really good at that. So I start off in Bolt, then I connect it to a repository.  For those who aren't familiar with GitHub, there's a button in Bolt or Lovable where you can easily connect it to a GitHub repository. So then once I kind of get the app to a point where the basic skeleton is set, then I go into Cursor. Then I pull the repository into Cursor and do the heavy work. The reason Cursor has a learning curve is because there are still some traditional developer things you need to know to spin up a project. Your initial database — it's a lot harder to spin up your initial database and backend in Cursor. It's also harder to identify your initial libraries and all of those things. If you're a developer, it's not difficult. But if you're new, it is. Bolt and Lovable abstract those things out for you. So you start it off in Bolt or Lovable. Basically, since they're limited in their context windows, when you're trying to build something complex, eventually they start making a whole bunch of errors. They basically start getting stup*d. That's when you know it's time to move to Cursor, because Cursor can handle the heavy lifting. So if you build in Bolt or Lovable until it gets stup*d, then you move to Cursor for the heavy lifting.  And then is there a point where Cursor gets stup*d as well? No. Cursor has a couple of different things that allow it to extend its context window, which is his memory. You can put documentation into Cursor. For example, whatever your PRD prompt was, you can save that as a document in Cursor. You can also set rules. One of my rules in Cursor is: I'm not technical, so explain everything in layman's terms. And then as you’re starting to build code, you can save that code or you can point it to that repository. So there's some more flexibility with Cursor as far as managing your context window.Share on X But with Bolt and Lovable, the context window is more limited right now. So I start off in those, and then once I kind of get the skeleton up, then I move to Cursor. And at that point, a lot of the complicated things like spinning up your dev environment and all those things are kind of abstracted out. Then you can just jump in and use it the same way you use Bolt and Lovable. Fantastic. Fantastic. So, Jason, super helpful information for domain experts who want to build an application that will help them promote their product or manifest their ideas in product form. I think that’s super powerful. So if someone would like to learn about SoundStrategist and what SoundStrategist can do for them in terms of learning and experiential products, incorporating music, or building curriculum, or they would just like to connect with you to learn more about what you can do for them, where should they go?  Jason William Johnson, PhD, on LinkedIn, or www.getsoundstrategies.com.  Okay. Well, Jason William Johnson, you are really ahead of the curve, especially connecting this whole idea of vibe coding to people who are subject matter experts and not technical. And you know it because you don't come from a technical background, yet you've mastered it. I’m living it. Everything I’m sharing—this is not like a theoretical framework. I'm living all of this. So everything I’m saying. Super authentic. And especially coming from you—you understand what it's like to not be technical person, learning this, applying this.  So if you'd like to do this, learn more, or maybe have Jason guide you, reach out to him. You can find him on LinkedIn at Jason William Johnson, PhD, or visit www.getsoundstrategies.com. And if you enjoyed this episode, make sure you follow us and subscribe on YouTube, follow us on LinkedIn, and on Apple Podcasts. Because every week I bring a super interesting entrepreneur, subject matter expert, or a combination of the two—like Jason—to the show, who will help you accelerate your journey with frameworks and AI frameworks in that gear. So thank you for coming, Jason, and thank you for listening. Important Links: Jason's LinkedIn Jason's website

In this episode, we explore how first-party data and AI are fixing the problem of rising ad costs. Tiago Costa Rocha, CEO of Full Venue and the creator of Clustie.ai, explains why traditional Meta ads are failing many Shopify brands today. He shares how brands can stop guessing and use their own customer data to find high-value buyers. Tiago also breaks down how to scale campaigns faster using "one-click" AI tools to lower costs and increase sales.Topics discussed in this episode:  How rising ad costs affect Shopify growth. What causes the "feedback loop" in ad spend. Why brands must identify their true ICP. How Clusty connects directly to Shopify data. What the one-click campaign builder automates. Why first-party data beats platform algorithms. How AI identifies high-propensity buyer groups. How to scale budgets without killing results. Links & Resources Website: https://www.fullvenue.ai/Shopify App Store: https://apps.shopify.com/clustie-ai-marketing-segmentsLinkedIn: https://www.linkedin.com/company/fullvenueai/Get access to more free resources by visiting the show notes at https://tinyurl.com/yd2uxe9p______________________________________________________ LOVE THE SHOW? HERE ARE THE NEXT STEPS! Follow the podcast to get every bonus episode. Tap follow now and don't miss out! Rate & Review: Help others discover the show by rating the show on Apple Podcasts at https://tinyurl.com/ecb-apple-podcasts Join our Free Newsletter: https://newsletter.ecommercecoffeebreak.com/ Support The Show On Patreon: https://www.patreon.com/EcommerceCoffeeBreak Partner with us: https://ecommercecoffeebreak.com/partner-with-us/

Nathan Schiess explains why personal branding isn't optional for real estate investors—and why waiting until you need capital is already too late.In this episode of RealDealChat, Nathan Schiess—real estate investor turned personal branding consultant—breaks down why documenting your journey matters more than perfecting your pitch.Nathan shares his own story of building and liquidating a real estate portfolio without documenting any of it—and how that hard lesson shaped his work helping investors, agents, syndicators, and capital raisers build trust before they need it. We unpack the difference between personal brands and company brands, why repetition is necessary (not annoying), how to think about ICP and USP, and why most investors should hire this out instead of trying to DIY content.We also dive into AI, batching content, why “giving away the secret sauce” actually increases credibility, and how a strong personal brand follows you from one venture to the next—unlike a business brand that stays behind.If you ever plan to raise capital, partner on deals, or stand out in a crowded market, this episode is required listening.

Today on the show, we have Matthew Tharp, CEO of Hunter.io, the all-in-one email outreach platform used by over 4 million people to identify prospects and run cold email campaigns. Previously, Matthew was VP of Worldwide Retention at LogMeIn, where he owned NRR across nine products—giving him a rare masterclass in retention challenges at different stages and scales.In this episode, we uncover why retention isn't a problem you solve when growth stalls—it's DNA you build from day one. Matthew shares the paradox of his career: building a company with 95%+ annual retention that got acquired, versus joining a high-growth PLG business with churn issues that needed solving before scaling further.We explore why over-indexing on either growth or retention creates problems, how to identify the usage patterns that predict churn in the first three weeks, and why every company that tries to fix retention late struggles. The lesson: balance from the beginning beats transformation later.We also discuss how Hunter achieved 3X growth this year by going back to basics—running a rigorous ICP analysis, choosing battles they could win instead of markets where competitors were spending $100M, and layering new customer segments without creating product bloat.Finally, we dig into cold outreach data: why email lists under 100 people dramatically outperform larger ones, why shorter emails force the clarity that drives replies, and how constraints—not scale—are the real performance lever in outbound.As always, I'd love to hear from you. You can email me directly at andrew@churn.fm, and don't forget to follow us on X.Churn FM is sponsored by Vitally, the all-in-one Customer Success Platform.

In "Vanity Metrics Don't Move Freight: Building Real Pipeline in Freight-Tech", Joe Lynch and Jim Waters, Fractional CMO and Founder of FreightTech (marketing), discuss how marketing must shift from a tactical cost center to a strategic operating system that drives real revenue. About Jim Waters Jim Waters is a Boston-based B2B marketing executive with a proven track record of building robust sales pipelines. His passion lies in driving meaningful conversations, understanding customer pain points, and creating compelling content that generates active pipeline velocity. A results-driven innovator, Jim was an early employee at both FRAYT and Tive, where he spearheaded Global Marketing. Jim's entrepreneurial spirit led him to build successful marketing teams at Coveo, (CVO.TO), FAST (MSFT) and StreamServe (NASDAQ: OTEX). He earned an MBA from Northeastern University and is now Founder of FreighTech Advisors fractional CMO and advisor services to companies in the Logistics Technology industry. About FreighTech FreighTech is a company that delivers fractional CMO consulting, content development, marketing and advisory services specifically to logistics technology businesses. The company was founded in 2023 by Jim Waters, a logistics and supply chain marketing veteran. Key Takeaways: Vanity Metrics Don't Move Freight: Building Real Pipeline in Freight-Tech In "Vanity Metrics Don't Move Freight: Building Real Pipeline in Freight-Tech", Joe Lynch and Jim Waters, Fractional CMO and Founder of FreightTech (marketing), discuss how marketing must shift from a tactical cost center to a strategic operating system that drives real revenue. FreighTech's Specialization: Founded in 2023, FreighTech provides fractional CMO consulting and marketing advisory services specifically for logistics technology businesses. Jim Waters leverages his deep industry experience (having scaled companies like Tive and Frayt) to help growth-stage startups turn marketing from a cost center into a revenue-generating engine without the overhead of a full-time executive. Marketing as a Portfolio: Jim argues that marketing should be treated as an investment portfolio, not a one-off cost. Just like a financial portfolio or a fitness routine, it requires time and consistency. Companies often fail because they "micromanage" their marketing, expecting an immediate ROI within two weeks, rather than allowing for the 6–9 month cycle often required to see real pipeline growth. The Death of the Cold Call and the Rise of "Stalking": The traditional sales model of making 100 cold calls a day is losing effectiveness because buyers now screen calls and conduct their own research online. Joe and Jim discuss how the buying process starts long before the sales process, with potential customers "stalking" a company's content on LinkedIn, YouTube, and podcasts for up to a year before ever engaging with a salesperson. Navigating the 2026 Visibility Shift (SEO, GEO, and AEO):  Visibility in 2026 requires more than just traditional Search Engine Optimization (SEO). Jim introduces two critical new concepts: GEO (Generative Engine Optimization): Ensuring your brand is cited by AI engines like ChatGPT and Gemini as a subject matter expert. AEO (Answer Engine Optimization): Structuring content to directly answer binary buyer questions (e.g., "How do I improve ROI in logistics marketing?"). The "Revenue Engine Blueprint" Basics: Before scaling, companies must master the basics. Jim emphasizes that a "blueprint" requires a clear understanding of the Total Addressable Market (TAM) and a refined Ideal Customer Profile (ICP). Without knowing exactly who you solve problems for, adding expensive tech stacks like Salesforce or HubSpot is simply "accelerating into a wall." The Danger of "Chainsaw" Customers: Jim shares a cautionary tale from his time at Tive about a salesperson wanting to tape a high-end tracker to a chainsaw to prevent theft. While any revenue is tempting, Jim warns that chasing customers outside your ICP is not repeatable or scalable. True growth comes from "niching down" to focus on fans and specific verticals (like Pharma or Cold Chain) rather than trying to be everything to everyone. Multiplying Reach through a Distribution Engine: Content is only half the battle; the other half is a distribution engine. This involves using a "one-to-many" strategy—leveraging partners, PR, and podcasts to amplify a single piece of high-quality thought leadership. By turning one conversation into video clips, articles, and social posts, companies build the authenticity and trust necessary for modern freight-tech sales. Learn More About Vanity Metrics Don't Move Freight: Building Real Pipeline in Freight-Tech Jim Waters | Linkedin FreighTech | Linkedin FreighTech Driving Sales Pipeline with Jim Waters | The Logistics of Logistics The Key to Effective Last Mile Delivery with Jim Waters | The Logistics of Logistics Every Shipment Matters With Jim Waters | The Logistics of Logistics The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

By Bram Duffee, PhD, EMT-P For EMS providers who respond to a traumatic cardiac arrest, the instinct to initiate CPR is almost automatic. But could this life-saving intervention inadvertently hinder recovery in cases of severe hemorrhagic shock? A recent study, “Effect of Cardiopulmonary Resuscitation on Perfusion in a Porcine Model of Severe Hemorrhagic Shock,” challenges conventional wisdom and offers new insights that could reshape trauma care protocols. The Study: A Closer Look at CPR in Trauma-Induced PEA The research, led by Dr. Patrick Greiffenstein, professor of clinical surgery at LSU New Orleans and trauma ICU director at the Norman McSwain Spirit of Charity Trauma Center, addresses a critical gap in trauma care. While CPR is a cornerstone of resuscitation in cardiac arrest, its application in trauma-induced pulseless electrical activity (PEA) has not been rigorously validated. Trauma PEA, unlike medical cardiac arrest, is a low-flow state caused by severe blood loss (hypovolemia), where the heart shows electrical activity but fails to generate a palpable pulse. “CPR is a cornerstone of resuscitation and cardiac arrest, but its application in trauma-induced PEA has not really been rigorously evaluated,” explains Dr. Greiffenstein. “Trauma PEA is fundamentally a low-flow state caused by hypovolemia—insufficient blood volume.” The study aimed to determine how CPR affects tissue perfusion—specifically oxygen delivery to the brain and skin—during severe hemorrhagic shock. Using a porcine model, researchers simulated life-threatening blood loss and compared outcomes between two groups: one receiving automated CPR and the other left untreated during the shock phase. Key Findings: When CPR May Do More Harm Than Good The results were both surprising and concerning: No Improvement in Perfusion: CPR did not enhance oxygenation in the brain or skin. In fact, skin perfusion was significantly lower in the CPR group during both the shock and recovery phases. Adverse Hemodynamic Effects: While CPR increased systolic blood pressure (SBP), it significantly reduced diastolic blood pressure (DBP), which is critical for coronary and organ perfusion. Potential Harm: CPR caused a threefold increase in intracranial pressure (ICP), suggesting that chest compressions might disrupt normal blood flow dynamics in the brain. “Knowing now that extreme efforts like lining people up to do CPR can cause turbulence within the system is a significant advancement,” says Dr. Greiffenstein. “It's possible to have perfusion at these unreadable MAP scores, which is a critical insight for trauma care.” Implications for Trauma Care These findings challenge the one-size-fits-all approach to CPR in cardiac arrest scenarios. In cases of hemorrhagic shock, CPR might: Divert attention from more effective interventions, such as rapid blood transfusion or surgical control of bleeding. Worsen perfusion to vital organs, potentially exacerbating the patient's condition. “In military cases, field medics often don't have the opportunity to perform full chest compressions on the battlefield. Sometimes, all they can do is drag a person to a safe position,” notes Dr. Greiffenstein. This study underscores the importance of prioritizing interventions that address the root cause of trauma PEA—severe blood loss—over traditional resuscitation techniques. A Call for Updated Guidelines The American Heart Association's current guidelines broadly recommend CPR for all pulseless patients. However, this study adds to a growing body of evidence suggesting that trauma-induced PEA requires a different approach. By focusing on restoring blood volume and controlling bleeding, paramedics and EMTs can improve outcomes for patients in hemorrhagic shock. As Dr. Greiffenstein puts it, “This research is a step toward more tailored and effective trauma care protocols. It's about understanding the unique physiology of trauma and adapting our interventions accordingly.” For EMS providers on the front lines, this study serves as a reminder to critically evaluate the tools and techniques we rely on in emergency care. While CPR remains a vital intervention in many scenarios, its role in trauma-induced PEA warrants careful reconsideration by physician medical directors. By staying informed about the latest research, we can continue to improve outcomes for the patients who depend on us most. Click below to watch the full interview Reference Greiffenstein, P., Cavalea, A., Smith, A., Sharp, T., Warren, O., Dennis, J., Gatterer, M. C., Danos, D., Byrne, T. C., Scarborough, A., Deville, P., & VanMeter, K. (2025). Effect of cardiopulmonary resuscitation on perfusion in a porcine model of severe hemorrhagic shock. The Journal of Trauma and Acute Care Surgery, 98(2), 251–257.      

Ursodiol (ursodeoxycholic acid) is a prescription bile acid medication used to dissolve cholesterol gallstones, prevent gallstones during rapid weight loss, and treat liver diseases like primary biliary cholangitis (PBC) by reducing toxic bile acids and cholesterol production. It works by changing bile composition, making it less saturated with cholesterol, and is available as oral medication. Of course, it is also the foundational medication for treatment of diagnosed Intrahepatic Cholestasis of Pregnancy (ICP). Does this medication reduce adverse perinatal outcomes? In this episode, we will review a new study from the Green Journal, which will be out in February 2026, examining the recurrence risk for ICP using data from NY. In a patient with prior history of ICP, is there any guidance on monitoring of serum bile acids in the subsequent pregnancy before symptoms develop? We will explain. PLUS we will review the data on whether Ursodiol may hold promise in recurrence prevention or in reduction of adverse outcomes once the condition is diagnosed. Listen in for details. 1. 2019: Chappell LC, Bell JL, Smith A, Linsell L, Juszczak E, Dixon PH, Chambers J, Hunter R, Dorling J, Williamson C, Thornton JG; PITCHES study group. Ursodeoxycholic acid versus placebo in women with intrahepatic cholestasis of pregnancy (PITCHES): a randomised controlled trial. Lancet. 2019 Sep 7;394(10201):849-860. doi: 10.1016/S0140-6736(19)31270-X. Epub 2019 Aug 1. PMID: 31378395; PMCID: PMC6739598. https://pubmed.ncbi.nlm.nih.gov/31378395/2. February 08, 2025: Rahim, Mussarat N et al. Pregnancy and the liver. The Lancet. 2021; Volume 405, Issue 10477, 498 – 513 https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(24)02351-1/fulltext3. SMFM CS 53; 20214. Rosenberg, Henri M. MD; Sarker, Minhazur R. MD; Ramos, Gladys A. MD; Bianco, Angela MD; Ferrara, Lauren MD; DeBolt, Chelsea A. MD. Intrahepatic Cholestasis of Pregnancy Recurrence in a Subsequent Pregnancy. Obstetrics & Gynecology 147(2):p 239-241, February 2026. | DOI: 10.1097/AOG.0000000000006033 https://journals.lww.com/greenjournal/fulltext/2026/02000/intrahepatic_cholestasis_of_pregnancy_recurrence.13.aspx5. Ovadia C, Sajous J, Seed PT et al. Ursodeoxycholic acid in intrahepatic cholestasis of pregnancy: a systematic review and individual participant data meta-analysis. Lancet Gastroenterol Hepatol. 2021 Jul;6(7):547-558. doi: 10.1016/S2468-1253(21)00074-1. Epub 2021 Apr 27. PMID: 33915090; PMCID: PMC8192305.6. EASL Clinical Practice Guidelines on the management of liver diseases in pregnancy. European Association for the Study of the Liver; 2023

Stephen Hedlund is head of finance at Rillet, an AI-native ERP which has raised over $100million from Sequoia and  Andreessen Horowitz. In  Steven's words Rillet is “building the modern NetSuite.” In this episode: How Isaac Asimov's Foundation helped me discover finance  Experience from enterprise at Walmart to building startups  Go-to-market (marketing) to Head of Finance Gillet  The moat for leading ERPs and our strategy  Being the ICP and marketing voice for Rillet  “To succeed, planning alone is insufficient. One must improvise as well.” ― Isaac Asimov, Foundation

In this episode, Ian sits down with Greer Lynch, VP of Marketing at Reprise, the AI-powered demo automation platform helping enterprise teams deliver high-stakes software demos with confidence.Greer shares how she approaches storytelling as the foundation of effective marketing, why community-building has become a core growth lever for Reprise, and how her team balances long-term brand investments with short-term demand generation. She also breaks down how Reprise thinks about rebranding for enterprise credibility, adapting SEO strategies for an AI-first world, and using AI internally to move faster without losing authenticity.Key TakeawaysStorytelling is the foundation of scalable marketing. Clear positioning and narrative make every channel more effective — from demand gen to community.Community is a long-term growth strategy. Bringing people together authentically builds trust, insight, and future demand, even beyond your immediate ICP.Brand maturity matters in enterprise markets. Positioning and design must reflect who you serve today, not who you served yesterday.AI is changing how marketing works — not eliminating fundamentals. The best teams use AI to accelerate insight, experimentation, and execution, not replace judgment.Episode Timestamps: *(03:01) The Trust Tree: Focus on what you can uniquely deliver to your audience *(07:09) The Playbook: Storytelling and understanding your audience*(32:53) Quick HitsSponsor:Pipeline Visionaries is brought to you by Qualified.com. Qualified helps you turn your website into a pipeline generation machine with PipelineAI. Engage and convert your most valuable website visitors with live chat, chatbots, meeting scheduling, intent data, and Piper, your AI SDR. Visit Qualified.com to learn more.Links:Connect with Ian on LinkedInConnect with Greer on LinkedInLearn more about RepriseLearn more about Caspian Studios   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Mark Roberge, author of the upcoming book The Science of Scaling, breaks down why so many companies fail to evolve their Ideal Customer Profile (ICP) despite changing market conditions—and reveals the surprising truth: it's emotional decision-making, not data, holding them back. Discover the game-changing "green, yellow, red" framework that separates truly ideal customers (those with high lifetime value) from those draining your resources, and learn how to strategically reallocate your team's efforts to maximize retention and expansion. Plus, explore how getting your ICP right doesn't just boost sales—it aligns your entire organization, from marketing and product development to customer success, creating a powerful go-to-market engine that drives real scaling.Mark Roberge is the founding Chief Revenue Officer of HubSpot, a senior lecturer at Harvard Business School, co-founder of Stage 2 Capital, and the author of The Science of Scaling and The Sales Acceleration Formula. He is widely known for helping companies design go-to-market systems that scale sustainably. Connect with Mark: Stage 2 CapitalResources mentioned:The Science of Scaling by Mark RobergeThe Sales Acceleration Formula by Mark RobergeForce Management resources on scaling predictably:The Predictable Revenue Framework: Guide for Leaders Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

Send us a textDownload Lisa's LAUNCH framework.We map a partner-led framework that turns original research into an event-first engine for trust, relevance, and pipeline. From picking credible partners to unveiling findings on expert panels, we show how one study can fuel a year of targeted, high-signal content.• why original research beats AI‑generated content• how to choose partners with shared ICP and credibility• using customer language to shape survey topics• assembling minimum viable assets during fielding• unveiling insights on expert panels without your team• small events as strong intent signals• feedback loops via platforms and post‑event surveys• nurturing with themes, tools, and persona content• translating practitioner–executive language gaps• co‑promotion across newsletters, Slack, and LinkedIn• timing a yearly research cycle for maximum impactIt's not if this episode made things feel a little more doable. I'd love to help you take the next step with the booked-out blueprint. It's a practical, low pressure session to clarify your offers, your marketing, and what actually moves the needle. You can book yours through the link in the show notes. You don't have to figure it out alone.Meet Lisa ShawLisa Shaw is the founder of Devon Point Group, where she partners with global technology brands on research-driven thought leadership programs. A former journalist turned content strategist, she combines deep analytical skills with storytelling to create high-impact marketing campaigns. Her team's work has earned recognition from the Web Marketing Association and HSMA. Lisa writes about B2B event marketing strategy at MarTech.org.LinkedIn |My Booked Out Blueprint starts with a private 45-minute interview where I learn your business, your goals, and what's actually holding you back. From that, I create a custom roadmap showing your best route to booked out—no fluff, just clarity. It's $397, and if you move forward into Booked Out in Six, that $397 is fully credited. Book Yours Here. Are you tired of prospects ghosting you? With a Gateway Offer, that won't happen.Over the next Ten Days, we will launch and sell our Gateway Offers with the goal of reaching booked-out status!Join the challenge here. Join my events community for FREE monthly events.I offer free events each month to help you master your business's growth through marketing, sales, systems, and offer strategy. Join the community here!Support the showSchedule a Booked-out Blueprint >>> Schedule.Come tour my digital home :) >>>WebsiteWanna be friends? >>> LinkedInLet's chat every Tuesday! >>> NewsletterCatch the video podcast on YouTube >>>YouTubeJoin my event group for live events >>>Meetup

Hubble Network is redefining what's possible in satellite connectivity by connecting standard Bluetooth chips to satellites over 500 kilometers away using advanced antenna arrays and digital beamforming. Founded in 2021 by Alex Haro (co-founder of Life360, which IPO'd in 2019 and grew to 80+ million monthly active users) and Ben Longmier (whose previous company's protocol became Amazon Sidewalk after acquisition), Hubble has launched seven operational satellites via SpaceX and is serving enterprise customers across intermodal logistics, off-grid construction, and outdoor recreation. In a recent episode of BUILDERS, I sat down with Alex to explore how Hubble is building the infrastructure layer for global IoT—positioning as the "T-Mobile of space" rather than competing in device markets. Topics Discussed: The technical architecture behind connecting Bluetooth to satellites: lowering bit rates, optimizing modulation, and deploying hundreds of antennas for digital beamforming SpaceX's rideshare program mechanics and what it actually takes to book satellite launches as a startup Why Hubble deliberately chose to be network infrastructure rather than building hardware for specific verticals The psychology barrier of overcoming Bluetooth's short-range association—even among experienced RF engineers from Google, Amazon, and Starlink Strategic focus decisions when facing unlimited market opportunity across construction, agriculture, mining, logistics, and defense Transparent pricing as a developer-first GTM strategy versus traditional enterprise carrier sales models The transition from Life360's consumer hardware exploration to founding a satellite networking company GTM Lessons For B2B Founders: Choose your competitive layer strategically—infrastructure scales differently than applications: Hubble explicitly positioned as network infrastructure, not a device manufacturer. Alex stated: "We're not focused on building the hardware or devices. We very much view ourselves as a networking company." This allows enterprise customers to integrate Hubble connectivity into their existing devices with just a software change to the Bluetooth chip. The result: each B2B customer can deploy hundreds or thousands of devices to their end users, creating exponential reach. For founders building horizontal technology, consider whether competing at the infrastructure layer—even if less immediately tangible—creates superior unit economics and market leverage versus building full-stack solutions. Developer-first positioning requires operational commitment, not just marketing: Hubble's pricing transparency wasn't a marketing tactic—Alex described it as "hardcore to our ethos" because their goal is connecting billions of devices. They explicitly modeled after Twilio and Stripe rather than Verizon or AT&T, making it possible for engineers to validate unit economics independently and start free trials without sales conversations. This wasn't debated internally because both co-founders and the early team aligned on this approach. For infrastructure companies targeting massive scale, half-measures on developer experience will fail—the entire go-to-market motion must support self-service validation and transparent economics. Constraint forces clarity—unlimited TAM demands disciplined ICP filtering: Despite viable use cases across construction, oil and gas, mining, agriculture, supply chain, and defense, Alex emphasized: "In the early stages, focus is the most important thing. Every hour matters and being able to focus matters quite a bit and defocusing yourself can really hurt." Hubble's "sexy hook of Bluetooth to space" generates inbound interest across industries, creating constant pressure to expand. Their active debate centers on which industry leaders are "solving important use cases" with existing customer bases of "hundreds, if not thousands of customers." For founders with horizontal technology, resist opportunistic deals—filter aggressively for partners who provide concentrated distribution rather than one-off deployments. Physical demonstration collapses credibility timelines for counterintuitive technology: Hubble faced skepticism even from sophisticated RF engineers because of hardwired associations between Bluetooth and short range. Alex noted: "Some of the investors that joined our A or B, they passed on our seed and A because they thought, well, I believe in Alex, but is this really physically possible?" Post-launch with working satellites, the conversation shifted from "is this possible?" to commercial terms. The lesson isn't just "show don't tell"—it's that for technically improbable innovations, rushing to demonstrable proof compresses months of explanation into minutes of validation. Founders should potentially sacrifice feature breadth to reach a single, undeniable proof point faster. Operational domain expertise reveals infrastructure gaps others can't see: Alex spent years as CTO of Life360 attempting to build connected hardware for families—smart pet collars, GPS watches for kids, fall detectors—but existing networks had "super short battery life, very bulky, no global coverage, way too expensive." He invested in Ben's previous mesh network company and became a close advisor before co-founding Hubble. The insight wasn't theoretical—it came from failing repeatedly to solve the problem with existing infrastructure. Founders should treat operational frustrations in previous roles as proprietary market intelligence: you've already paid the learning cost that competitors will need years to acquire. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

F2 is the AI platform for private markets investors, automating due diligence and portfolio monitoring workflows with agentic AI. After building ARK into a digital banking platform that scaled from tens of millions to tens of billions in loan volume, Donald Muir developed AI technology to automate debt placement on ARK's marketplace. When upmarket institutional lenders requested access to the AI for their entire deal flow—not just ARK's marketplace deals—Donald recognized the technology's standalone value. In this episode of BUILDERS, Donald shares how he's commercializing enterprise-grade AI for an industry where he personally spent years in the private equity bullpen, and how F2 is addressing the reliability and trust barriers that prevent AI adoption in high-stakes financial decision-making. Topics Discussed How F2 emerged from ARK's internal need to automate debt marketplace screening memos The technical approach to eliminating hallucination in Excel-based financial analysis Replicating private equity's "super day" interview format to prove AI capability with live deal data Sales team composition: hiring ex-finance professionals instead of traditional sales reps AI's role in evolving private equity analysts from menial tasks to system operators Product roadmap from due diligence to portfolio monitoring to deal syndication platform Maintaining operational independence while preserving strategic alignment with ARK GTM Lessons For B2B Founders Solve your own hardest problem first, then productize: Donald built F2's core technology to scale ARK's debt marketplace, focusing on the most difficult engineering challenge—reliable financial analysis of unstructured Excel data—because the marketplace required it. This resulted in technology that foundation models still haven't replicated over a year later. The aha moment came when institutional lenders wanted the AI for all their deal flow, not just marketplace transactions. Organic internal development created category-leading capabilities and validated product-market fit before commercialization. B2B founders should identify which internal operational challenges, if solved, could become standalone products serving the broader market. Design sales processes that mirror how your ICP evaluates talent: Donald replicated private equity's "super day" format where analyst candidates receive a data room, laptop without internet access, and three hours to produce an LBO model and investment thesis. F2 runs identical timed tests—customers send live deal data rooms under NDA, F2 generates investment committee memos using their templates, and presents same-day results. This proves the AI can perform at the standard funds use to evaluate human analysts they hire 18 months before start dates. B2B founders selling into industries with rigorous talent evaluation processes should reverse-engineer those frameworks into product demonstrations that speak to buyer expectations. Prioritize credibility over sales experience in technical markets: Donald's entire sales team consists of ex-finance professionals who lived in the seat—no traditional salespeople. These reps can screen-share investment memos created that morning and discuss them authentically with MDs and principals using industry-specific language. After 4.5 years running go-to-market at ARK, Donald teaches sales methodology to domain experts rather than teaching domain expertise to salespeople. For deals averaging half a billion dollars flowing through the platform, buyer credibility outweighs sales polish. B2B founders in specialized verticals should evaluate whether domain fluency or sales pedigree matters more for their specific buyer personas and deal complexity. Engineer for auditability before optimizing for speed: F2 focused on eliminating hallucination and achieving mathematical accuracy—solving what Donald calls the "reliability and trust" gap—before addressing workflow efficiency. The company name references the F2 keystroke used to audit Excel calculations at 3 AM in the PE bullpen. This positioning directly addresses the barrier preventing AI adoption for investment decisions: LLMs hallucinate, can't do math, and lack auditability. Only after proving the AI produces auditable, trustworthy output did F2 layer on speed benefits. B2B founders building for high-stakes decision environments should identify the fundamental trust barrier and make it the core technical focus before feature expansion. Leverage institutional knowledge as competitive differentiation: Beyond automating existing workflows, F2 enables firms to pipe in decades of institutional knowledge via API—instantly benchmarking new deals against thousands of historical transactions by vertical, revenue size, leverage levels, and management quality. This transforms screening memos from isolated analyses into context-rich evaluations informed by complete firm history. The AI doesn't just work faster; it has comprehensive context that individual analysts manually searching SharePoint folders could never access. B2B founders should identify where accumulated institutional data creates compounding value beyond point-in-time automation. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Parable is building an end-to-end intelligence platform that quantifies how organizations spend their collective time—the foundation for measuring real AI impact. With a thousand data connectors ingesting activity and log data across the enterprise software stack, Parable constructs proprietary knowledge graphs that size opportunities and measure outcomes in hard dollars, not adoption metrics. In this episode of BUILDERS, I sat down with Adam Schwartz, Co-Founder & CEO of Parable, to explore why 95% of CFOs see no AI ROI, how his decade running profitable businesses under resource constraints shaped his focus on inputs over outcomes, and why 2026 requires moving AI from CapEx experimentation to measured OpEx. Topics Discussed: Why the 95% CFO stat on AI ROI matters as an arbiter of truth, despite backlash Building knowledge graphs from activity data to quantify collective time allocation across hundreds of people The fundamental problem: enterprises lack quantitative frameworks for operational efficiency pre-AI Running parallel ICP experiments to achieve sales-market fit before product-market fit Why Parable has never lost a POC once leaders see quantitative baselines Market dynamics creating false signals—unprecedented curiosity without buying intent The demarcation between companies treating AI as product work versus those waiting for vendor solutions Why AI transformation demands century-old management structures to be questioned GTM Lessons For B2B Founders: Engineer disqualification in momentum markets: Market-wide AI enthusiasm creates pipeline illusion. Prospects will engage indefinitely for education without purchase intent. Adam's framework: "How do we get people to say no to us and not drag us along... They want to keep talking because they want to learn and they want to know what's going on and they are genuinely interested." In enterprise sales during category shifts, build explicit qualification gates that force prospects to reveal resource commitment or disqualify. Extended evaluation cycles feel like traction but destroy unit economics. Use go-to-market as ICP discovery mechanism: Adam intentionally pursued multiple customer segments simultaneously—different company sizes and AI maturity stages—to let data reveal fit rather than rely on hypothesis. His memo to the team: "We're going to go after these three, you know, many different sizes of companies in order for us to decide like, who we like best." The key insight: get to problem-market fit and sales-market fit validation before optimizing product-market fit. This inverts conventional wisdom but works when TAM is massive and the bottleneck is identifying who feels pain acutely enough to buy now. Qualify on organizational structure, not verbal commitment: Every enterprise claims AI is strategic. Adam's hard filter: "Who in the organization is responsible for AI transformation? And if you don't have a one person answer to that question, you're not serious." Serious buyers have a named owner reporting to C-suite with dedicated budget and team. Buying Gemini, Glean, or other point solutions isn't a seriousness KPI—it's often passive consumption of AI as a byproduct of existing software relationships. Look for companies doing five-year work-backs on industry transformation and cascading effects on their operating model. Target post-experimentation, pre-scale buyers: Adam discovered the sweet spot isn't companies beginning their AI journey—it's those who've deployed initial programs and now need to prove value. "The market of people that have started to build AI into their operating model or into their strategy in like a coherent way, there's a team, there's an owner, there's budget... those are the people that we really want to be talking to." These buyers understand the problem viscerally because they're living it. They do product work daily—talking to stakeholders, generating use cases, building briefs, triaging roadmaps. They need your solution to professionalize what they're already attempting manually. Build measurement into your category narrative: The AI tooling market has over-indexed on soft efficiency claims that won't survive renewal cycles. Adam's warning: "There is too much hand waving around soft efficiency gains... you're going to have to renew and you need NRR and I don't think it's going to be that usage of the tool internally by employees and adoption is going to be enough." The last decade over-rotated to "everything drives revenue" due to VC pressure. This decade requires precision: does your product save time, reduce headcount needs, or accelerate revenue? Quantify it. Partner with measurement platforms if needed. Adam's insight on Calendly is instructive—it clearly saves time, but most buyers can't quantify how much, which weakens renewal economics. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Why B2B Lead Qualification Fails and How to Fix It  Traffic is cheap, but qualified B2B sales conversions are not. Too many CMOs in the B2B space are watching brilliant creative go to waste at the top of the marketing funnel because what's passing through as a “qualified lead” often isn't really qualified. How can B2B marketers identify where the real lead qualification bottleneck is? Why is rethinking how MQLs are defined, scored, and routed one the most strategic fixes a CMO can make to improve pipeline performance? That's why we're talking to Gabe Lullo (CEO, Alleyoop), who shared some insights around why B2B lead qualification fails and how to fix it at the top of the funnel. During our discussion, Gabe challenged the common misconception that poor lead quality is the issue when sales aren't closing. Instead, he emphasized the importance of a clearly-defined Ideal Customer Profile (ICP), a strong product-market fit, and a well-mapped B2B sales journey. Gabe also stressed the need for A/B testing, identifying and resolving funnel bottlenecks, and using data-driven decision-making to improve lead conversion rates. He underscored the value of nurturing leads and cautioned B2B marketers against dismissing traditional marketing channels without rigorous testing. https://youtu.be/KXVmywNsfP0 Topics discussed in episode: [02:36] Why top-of-funnel lead qualification breaks down in B2B. [16:37] How to define and operationalize your Ideal Customer Profile (ICP). [12:17] When MQLs hurt more than they help, and how to fix them. [26:14] How A/B testing and data-driven decisions improve lead conversion. [27:53] Why lead nurturing is critical to long sales cycles. [34:05] When to test (not abandon) traditional B2B marketing channels. Companies and links mentioned: Gabe Lullo on LinkedIn  Alleyoop  ZoomInfo  Salesloft  Adobe  Transcript SPEAKERS Gabe Lullo, Christian Klepp Gabe Lullo  00:00 So we’re doing top of funnel activities, and then we’re sending leads over. The sales team takes them, and then what we find, a lot, we hear this all the time, is leads aren’t closing. And what’s interesting is that it was never a lead problem. It was more of a, you know, seller problem. I don’t mean to put blame on it, but companies come to us saying, hey, my sellers are saying we don’t have enough leads, we don’t have better leads, we don’t have good leads, and they’re the ones complaining about the lead. So they come to us to fix the lead problem. We fix the lead problem, but it doesn’t fix the revenue problem. It’s still not closing. So what is it? Christian Klepp  00:30 Traffic is cheap, but conversion is not too many CMOs (Chief Marketing Officer) are watching brilliant, creative go to waste at the top of the funnel, because what’s passing through as qualified just isn’t so how can you identify where the real bottleneck is, and why is rethinking how MQLs (Marketing Qualified Leads) are defined and scored the single most strategic fix? A CMO can make welcome to this episode of the B2B Marketers on the Mission podcast, and I’m your host, Christian Klepp. Today, I’ll be talking to Gabe Lullo, who will be answering these questions. He’s the CEO of Alleyoop, a sales development agency working with industry giants such as ZoomInfo, Salesloft and Adobe. Tune in to find out more about what this B2B Marketers Mission is, and off we go. Mr. Gabe Lullo, welcome to the show, sir. Gabe Lullo  01:17 Christian. Thank you so much. First off, I’m a huge fan of yours, so is my team, and we just appreciate all that you do for the industry. And I’m so excited to be here. Thanks for the invite. Christian Klepp  01:28 Wow, wow. Thank you. Thank you so much. Right off the gate with the praise, thank you, sir. Gabe Lullo  01:33 Well, you deserve it, man, you’re the best. What do you do. I love it. I love your show, and I love being a part of that. Christian Klepp  01:38 I appreciate that. I appreciate that. You know, we really had an awesome, like, pre-interview conversation. I’m gonna say, like, you know, talking about coming up to Toronto and Buffalo and what have you. And I’m really looking forward to this conversation, Gabe, because, man, you know, what? As much as some Marketers probably don’t want to hear this. It’s an, I think this is an absolutely necessary conversation to have. Right this topic that we’re going to talk about, and I will not keep the audience in suspense for too long. I’m just going to jump into the first question, if you don’t mind. Gabe Lullo  02:09 Yeah, no problem. Let’s get right into it. Christian Klepp  02:11 All right, so Gabe, you’re on a mission to provide the ultimate assist to your clients by setting them up for success. So for this conversation, let’s zero in on the following topic of how B2B Marketers can fix qualification at the top. So here comes the first question in our previous conversation. You talked about many marketing funnels being a leaky bucket. Can you please explain what you meant by that? Gabe Lullo  02:36 Yeah, I think companies right now are going to market in a very hodgepodge type of way, you know, ICP (Ideal Customer Profile), you know, we throw that terminal around a lot, and, you know, people think they know what it is, or feel like they have it drilled down, or feel like it’s completely locked, locked in. And then clients invite us in, and we realize it’s not the case, and it’s not just what the ideal client profile is, which, of course, is quintessential to going to market, and it’s really the first step to qualification, isn’t it, right? But on the other side of it, it is, you know, is there a product market fit? Is there a pricing that needs to be aligned? What’s the competitive landscape look like? So when we’re having live conversations, our sellers are making, you know, 11 million cold calls a year. That’s front of the line conversations, right? And we can hear, understand, and truly, you know, debrief with what each call is sounding like, so we can then narrow in what those qualifications should be. You know, a lot of you know, let’s say VPs of sales come into the sales development side of the house or the marketing side of the house, and they apply sales training methodologies to top of funnel qualifications, and it really gets broken as well. So there’s a lot to unpack, but I’ll give you an example. You know, band for instance, but you know budget authority needed timing. Like, is that really the right qualification at the top of the funnel, or does that really, you know, evolve the seller and the demo and the discovery call at that moment in time. So really understanding who’s in charge of that top of funnel and what their experience is also as a part of it, in my opinion. Christian Klepp  04:13 Absolutely, absolutely and you’re absolutely right. There’s so much to unpack here, but I have to ask just from your experience, and I know you have a lot, it seems like it’s just, there’s so many moving parts in this ecosystem, and a lot of like, well, what causes the leaky funnel? I’m gonna say is a lot of the things that you just mentioned, right? It’s a lack of understanding of who the actual ICP is. It’s probably also, especially the bigger the the organization gets sorry to everyone out there, but the lack of ownership and accountability, the lack of an actual strategy, like, where’s this all gonna go? Right? Gabe Lullo  04:54 Oh, it’s interesting. Yeah, I find this to be our except we so we’re doing top of the funnel activities, and we’re sending leads over, the sales team takes them, and then what we find, a lot, we hear this all the time, is leads aren’t closing. And what’s interesting is that it was never a lead problem. It was more of a seller problem. Now I don’t mean to put blame on it, but companies come to us saying, hey, my sellers are saying we don’t have enough leads, we don’t have better leads, we don’t have good leads, and they’re the ones complaining about the lead so they come to us to fix the lead problem. We fix the lead problem, but it doesn’t fix the revenue problem. It’s still not closing. So what is it? It’s the entire channel, right? It’s the entire sales journey, and we have to make sure that all of those things are working like an engine, right? All the cylinders are working at the same time in the same motion, to truly know what the problem may be. So that that’s really exposed a lot when we step in and start doing top of funnel activities, Christian Klepp  05:55 Absolutely, absolutely. And that segues into the next question, which I feel you’ve already answered to a certain extent. But where do you feel the true bottleneck lies, and that may be dependent on the company, right? Because each company maybe has a different set of challenges. And most importantly, okay, where does the bottleneck lie? And how do how can B2B Marketing teams help address the bottleneck and not be part of the bottleneck? Gabe Lullo  06:21 Yeah, absolutely. I mean, there’s an eight step approach to sales. That’s what we call your sales journey, right? You have, obviously, you know, list building, and then we have, of course, outreach, we have qualification, we have discovery call, we have demo, we have, you know, closing or negotiating. We have client success. I mean, that’s the basic funnel, if you will. So is our, I should say, all of those things operating at the best of its ability. And what is broken, and it’s, it’s the old, you know, Henry Ford approach the assembly line. You know, there’s an assembly line and building a car, and there’s an assembly line in sales. And you have to know those steps, firstly, two, you have to know if those steps are working correctly, and figure out where that bottleneck is, and then, you know, take those blockers away so that those cars are flowing in and the production line doesn’t stop and we’re, you know, executing on the results that we need to serve our clients. Christian Klepp  07:16 100% agree. But now I’m gonna throw in another like wild card question, and I know you can handle it, right? When companies like yours come in to help organizations, right, there are times, even from my own experience, where the internal teams look at you and go, What are those guys doing here? Right? Like, is my job on the line. So they feel, they feel threatened, right by by somebody coming in and providing an external perspective. So I guess the question is, how do you deal with that kind of push back to help fix this leaky marketing funnel? Gabe Lullo  07:57 Yeah, it’s very important, right? Because a lot of companies come, you know, come in like us, and say, You know what, we’re going to come in here and try to solve the problem, or rip and replace or threaten the job. And it’s interesting, our point of contact, usually is the person who may be, you know, being fired because of our success. Well, we don’t want to approach it that way. So we set clear expectations that, hey, listen, we’re not here to rip and replace we are here to work as a parallel to what you’re existing doing, so we can A/B test and share best practices and be collective in those results. A lot of companies who have existing teams in place usually put us in scenarios where we’re bringing something new to market, or we’re reaching out to a market that is you know, you know, a new product line or a new segment, and we’re bringing that in. We do, however, see about a 20 to 30% increase in existing production when an outside partner comes in, because, again, we are sharing best practices. We’re all working together, but there is some pressure on the line when they see it. You know, another great player on the team playing ball. However, we did put a mechanism in place that really helps alleviate the fear, if you will, of that rip and replace scenario. Very unique thing to us, only a handful of companies I know about, of hundreds and if not thousands, that do what we do, do this. And here’s what it is, a lot of companies want to hire everything within and bring everything in house, in the sales development side within, because they graduate those people into account executives or closers or higher level performers or managers, so that graduation of career placement is there if you do it in house. So what we say is, you know what? You can have that great feeling of growing and building your team in house with us too. So all of our reps (representatives) who come work here, and all of our clients who enroll with us know that they can hire our reps and and bring them into their payroll and into their in house team with our help. So that’s a really good way of curving the fear, because they know, hey, this person who’s executing this outbound activity could be our next closer, and we can hire them to not take again, to not take away from what their current teams are doing, but to add to and grow that existing team they have. Christian Klepp  10:14 Absolutely, absolutely, and you know where I’m going with this, right? Because, like, you know, far too often, especially the higher ups that are not involved in the day to day, that are looking at this from the, I call it the Mount Olympus perspective, right, looking down at the land of the living, right? Like, why are you bringing in an external partner? Isn’t that your job to fix it? Right? But there are benefits to your point of, like, bringing in somebody that’s external, that’s not privy to, perhaps, some of the bias, some of the, certainly, the, certainly the organizational like dynamics and politics, which may, may be more detrimental than useful, right? Gabe Lullo  10:50 Yeah. I mean, we do punchy contracts, right? We have a six month minimum engagement. But so when we do that, you know, we’re saying, Hey, listen, we’re, we’re going to work with you for six months. We’re going to give it everything we got. And if it’s something you want to bring in-house from our team, great. If it’s you want to continue, great, or if you’ve learned a lot and you’re able to duplicate our efforts, also great too. So again, we’re not going in there saying, Oh, this is our world. Now. Get out of the way. Good luck, you know, and giving pink slips to people, it’s about really, again, how can we help? How can we assist? How can we hit this number? It’s not getting hit. There has to be reasons why. And let’s figure those numbers out, and let’s figure out the reasons why. And then, and then we move on, you know. So there’s short contracts, and then there’s very, very long contracts, you know, ZoomInfo has been a client off and on for the last decade. We’re doing a program right now where they just launched a lot of cool things, and we’re helping them so companies like that, size and stature, still come to outside help when necessary, when the timing is right and the fit is right. Christian Klepp  11:55 Amazing. Amazing. All right. Next question. So why do you believe rethinking how MQLs are defined and scored as the most strategic fix that a CMO can make, and what are some of these other key pitfalls that Marketers should avoid, and what should they be doing instead? I mean, let’s, let’s keep the conversation constructive here, right? Gabe Lullo  12:17 So defining and scoring MQLs is by far one of the first things, if not the most important thing, to start with, right? Because that is, again, the start of that assembly line. You know, garbage in, garbage out. And so if we’re not actually understanding why those MQLs are, the MQLs that we are saying they are, and what those triggering events are causing them to be considered. MQLs could truly dictate whether or not we’re receiving garbage into the funnel versus excellence and extraordinary leads and MQLs into the funnel. So again, it’s going back to that ICP, like we discussed earlier. It’s determining, okay, are these worthy and does it make sense to continue this, lead this MQL down the funnel, and will it produce results? Should it even be in the system at all? So knowing that up front, like I said earlier, it’s like the raw material. You know, if you have really bad raw material that you’re using to build your cars, you know, no matter how great it comes out at the other end, it’s not going to be a quality vehicle. So it’s that, it’s the raw material that we need to make sure that’s first and foremost, because it’s the start of the entire process. Christian Klepp  13:29 Yeah, yeah, no, that’s for sure. Because, you know, how many times have you heard that, right? Like the marketing team says, well, we’ve, we’ve got, we’ve generated the MQLs, we’ve passed them on to the sales team now, so we’re good, yeah, but that’s not where it stops, right? Like, so especially if the MQLs are, like, not qualified, right? Gabe Lullo  13:48 No, I couldn’t agree with you more. And again, having sales and marketing work synergistically in that determination is paramount. You know, so many companies, and it’s the old adage, and I think it’s almost a cliche now, because it’s been said so many times that you know, sales is throwing spears over the fence to marketing, and marketing is throwing another spear back to them, and they’re fighting back and forth over this wall. The deal is, you got to break down the wall and start having conversations. And again, sellers have to give feedback on why we’re seeing this to not be the right fit, and Marketers have to be curious and asking what those things may be happening on those conversations, so they can go find the MQLs that that is worthy. Christian Klepp  14:30 Absolutely, absolutely. And on that topic, what are some of these other pitfalls that marketers should be looking out for, and what should they be doing instead? Gabe Lullo  14:39 Yeah, I think what right now is that you have to really understand your channels. You know, a lot of Marketers right now are doubling down on things that may not be producing the results that they have been expecting. Maybe a year from now, two years from now, every company is different, every ICP is different, and every industry is different. I’ll give you an example. You know, if you’re reaching out to sellers and you know, red. Heads of revenue, you have to have a totally different approach than if you’re reaching out to VPs of technology and cyber security. Now that may sound basic, but if you were coming from a company and you’re in your head of marketing, and you’re coming from a company where your ICP and your persona is all tech based companies, or all tech based personas, and you go into a new industry or a new company, and you come with that lens. It’s not the right approach. You know, sellers like to pick up the phone. They think they’re customers. They use the phone all day long. They pick up the phone all the time. Maybe that’s the right channel, right? CTOs (Chief Technology Officers), CIOs (Chief Information Officers), CSOs (Chief Security Officers), they are not usually picking up the phone. Maybe they’re their channels significantly different, and so you have to realize, understand what your persona is, so you can do marketing activities towards that total addressable market that resonate and hit home and get their attention. And it could be just as much as where they live in regards to where, where do they associate with, what, what channel are they living on? Are they people that pick up the phone? Are they ones that live on LinkedIn? Are they ones that go to Instagram? Are they ones that go to conferences? Where is your audience? And know that first and then go talk to them? Christian Klepp  16:10 That’s definitely a great insight. You know it. I know it. The problem is that there’s so many teams out there that skip this part, right? Like that, like that. That detailed breakdown you just gave us about the different let’s call them like, the different personas, the different behaviors, the different channels, like, Why do you think a lot of teams out there skip this part? Is it because of the the time crunch, the pressure to deliver immediately is all of the above? Gabe Lullo  16:37 Yeah, I think, you know, there’s a lot of boardrooms out there. They come out with this unique product, and then with all they do is they do is they look at the TAM, what’s the total addressable market? But that’s like saying, I want to go catch a tuna fish. But you know, let’s just look at the entire ocean. Like, okay, we have to be more specific. Where do the tuna fish actually swim? Where part of Do they like warm water? Do they like the coast? Are they more towards New Zealand, or are they up towards the Massachusetts? So you have to know where your school of fish are. If you want to go fishing, you can’t just look at the entire ocean as the market. And I think narrowing it down to understand patterns and where people are so you can go talk to them is the right approach, versus this spray and pray mentality that I feel marketing has been living in for many, many years, and now it’s becoming more self evident because of AI, right? Because AI can tell us a lot of these things. AI can do a lot of analysis and research, and it’s giving us insights that we’ve never been able to really see before because of the speed and quickness of it. And so I think we are getting to a point, and I’m hopeful that we are more specific with our total addressable markets in new companies specifically that may not have the experience or the capacity like they used to. And I think it’s exciting. Christian Klepp  16:37 Oh Gabe, you just open the door to another question there. Man. Gabe Lullo  16:37 Like, start with an A. Christian Klepp  16:37 Yeah, it starts with an A. But, like, you know, since you brought it up, I’ve got to ask AI, right? Gabe Lullo  16:37 Yeah. Christian Klepp  16:37 And in terms of, like, helping to fix a leaky marketing funnel, how do you from your experience and your perspective, how do you think AI is helpful, and how is it harmful? Gabe Lullo  17:23 Sure. I mean double edged sword, right? We love AI. We accept it. We know it’s here. We’re not scared of it. We’re not running away from it, but we’re also not ripping and replacing things too abruptly with with the implementation of it, either. For instance, I’ll give you real examples. Are we telling AI to go make cold calls? Well, no, it’s illegal, technically. Secondly, are we using it, though, on the flip side, to train our reps on how to effectively handle great questions and objections through an AI sparring partner? Yeah, we are, and it’s amazing at it. So we actually have our reps when they’re brand new and onboarding or launching into a new campaign. We program the robot, the AI right to be able to have conversations in real life time with our reps, to literally spar with them. And it’s like practice. It’s a sparring partner before they go live onto a campaign, and it prepares them immensely before the live show, before they’re before they’re active, right on the campaign. So this is one way we’re doing it. Other ways, obviously email, messaging, obviously personalization, obviously research, you know, pre-call research, account research, determining who’s picking up the phone when they pick up the phone, how many times does it take to call them? You know, time zones? What’s the best time to call them? And it’s crazy what it could do, but it’s really, really helpful. But it’s not a crutch. It’s an assistant, and that’s how we’re approaching it. It’s not replacing human to human communication. If it was. Maybe you and I would just have our AI avatars do this podcast right instead of we’ll be on a beach somewhere, maybe we’ll be there in the future. I’m not predicting it, but I will say there’s a huge, significant role it plays right now, but it is not a role that’s, in my opinion, supposed to replace everything. It can replace a lot, but not everything. Christian Klepp  20:20 Absolutely. I mean, it certainly requires a lot of like, human intervention, right? And it’s and it’s constantly learning, and it’s learning quickly, which I think is to its benefit, to its detriment. And I think that’s, that’s your point as well. There’s a lot of stuff out there that’s AI generated that just looks off, starting with videos even, even like in I don’t know if you’ve dabbled with Google notebook, right? It can, it can take all that content and turn it into an audio file. And it’s scary. How real it sounds. Gabe Lullo  20:54 It is pretty scary. And I have seen tools like that. I love there’s one right now, where it’s actually tracking not even what someone is saying, but how they’re saying it. So tonality, right is a huge piece of communication, as we know, and so it’s literally listening to calls and sales calls, and not just again, we’ve seen it before, like, you know, Gong and others, where it’s telling, hey, maybe say this. Don’t say that, but it’s also giving that score of how they’re delivering that message, which, in my world, is huge because, you know, I could read a script, or I can, you know, have an amazing performance, and that’s how we approach, you know, the way we communicate on a phone call. So that is why we’re so excited. Because there’s new tools coming out all the time that are really, really impactful, for sure. Christian Klepp  21:42 Absolutely, absolutely. So you’ve touched on this a little bit like in the past couple of minutes, but explain how market research and strategy help to develop a solid marketing funnel, not a leaky one. Gabe Lullo  21:55 Yeah. I mean, I think it’s your playbook, right? You know, you have to have a built out playbook, and it’s your guide. And it’s not just important to go to market with a playbook, but it’s also going to market to scale, right? You know, once you get it to work, the ever everything after that is, how do we duplicate and how do we scale? So the playbook is that design is the architecture behind your strategy. So when we do start pouring fuel on the fire and we’re adding people, we’re adding leads, we’re adding workflows, we’re adding everything outside of that, we still go back to the playbook. It’s like the Constitution, right? Everything based off that in our country. I know we’re in different ones, but my point is is, is you have a framework, right, that we go off of and that playbook is so vital to our importance of market research gives us a great understanding of where that playbook is built and how it’s designed and how it’s architected, and that’s how we that’s how we do it here. Christian Klepp  22:55 And even how the playbook can be iterated, right? Because let’s not forget that it’s not written in stone. Gabe Lullo  23:01 Evolving. Yeah, absolutely. I do want to warn people, though, evolve with time. Be patient, right? You know, marketing, sales, development, it’s not a light switch. Yeah, I always say it’s like boiling water, right? So a watch pot technically does boil. It’s just painful to watch. So, but the point is, is that you have to give it enough time to see if that playbook is yielding results. What you don’t want to do is change the play, you know, too many times in the middle of the game, because then you look confused and confused. People do nothing, right? So, yes, is it evolving? Does it pivot? Does it grow? Do you do you change things up, of course. But also you want to do it in a tactful timeline to make sure that it is truly a working playbook or not. Christian Klepp  23:47 Absolutely, absolutely. And you brought something up, and I have to ask this, this next question, it’s… We know, from a marketing point of view, that rolling out these initiatives and seeing the results takes time, yeah, but we’ve had, I’ve certainly had this experience in B2B, that there are people, again, at the top, that don’t have oversight into the day to day, and probably also don’t understand quite how the process works, that don’t have that patience, right, that are telling you, like, hurry up and deliver like, we want results right now. So what do you say to those, I guess the people that are doubting that this initiative needs more time than they think it does. Gabe Lullo  24:30 Yeah. I mean, I think looking at benchmarks and case studies and past results is very important, like I said, Back to the boiling of water. You can show a thermometer as well, like you can see, is it working well? You can put a thermometer in a boiling pot of water and watch the temperature go up, right? And it gives you a clear indication and forecast, if you will, that you’re going to achieve boiling point eventually. It’s not just again, you put the water in and then. And you all of a sudden, measure boiling. You have to measure along the way, and that’s we want to do. So what the ways we do it specifically is, if we’re working on a campaign that is almost a look alike campaign to another company, maybe it’s in the same industry, same ICP, you know, same your size, same scope, we can look at that historical result and say, Hey, by the way, if we do these, these, these and these, you’re going to we’re going to expect boiling point at this time based on a company that’s very similar to yours. Now, is it identical? No, maybe that company has really bad sellers we talked about. Maybe that company doesn’t really care about content and they’re just missing the boat there. Maybe they have a crappy website, like, I don’t, there’s different levers that could, you know, alter the recipe, but we can absolutely make highly educated guesses, as opposed to just trying to wing it or give false expectations. Christian Klepp  25:54 Yeah, yeah, no, that’s absolutely right, all right. I mean, you’ve given us a lot of, like, recommendations, a lot of actionable tips. So walk us through, and I know it varies from company to company and case by case, but walk us through the process of how you actually fix a leaky marketing funnel. Like, what are the steps? What are those key components that absolutely have to be in that process? Gabe Lullo  26:14 Yeah, you have to, you know, inspect what you expect. You have to understand what your messaging is, and you have to A/B test it all the time. I A/B test everything, whether it’s data vendors, whether it’s email messaging, whether it’s LinkedIn content, what you have, obviously mechanisms, depending on what tech you’re working with, what vendors you’re working with, or your history or historical results are to give you grades and scores and A/B testing everything. So if you have, you know campaigns that are running that are successful, you should be able to know how to measure that. That’s what’s so important. So you have to have inspect, inspection tools in place across everything you’re doing on those campaigns to tell you, Hey, this is broken, this is leaky. This isn’t working. Or on the flip side, this is crushing right now. This is totally resonating right now, and we’re loving these, seeing these numbers, and then pour fuel on that fire and focus on that and remove the other ones, and still A/B test, because you always want to keep getting better. So A/B test everything, define the leaks, and then try to fix those leaks as fast as possible. Christian Klepp  27:23 Fantastic, fantastic. And because we’re talking about marketing funnels, I mean, like, I can’t help myself but ask you, okay, but what about metrics? Because that’s something that people want to see, right? But I’m not talking about like, let’s, let’s come up with this like, laundry list of like metrics, and you go down this deep rabbit hole. Like, what are the metrics that you would say, or you would advise B2B Marketers to look at to say, like, okay, we’re trying to fix the leaky marketing funnel here, and these metrics will help you to indicate that there is progress. Gabe Lullo  27:53 Yeah. I mean, it’s harder now than ever before to metric things out, and it’s because of tech that’s kind of getting in the way. You know, for instance, in an email campaign, there’s been some rules and regulations in the last recent years that prevents us from seeing whether or not there’s clicks and opens that are happening on email campaigns. I’ve actually removed many of those triggers completely away from our campaigns, because it’s preventing deliverability, and it’s preventing our ability to keep domains healthy. So there are a lot of moving parts right now that’s happening because of these AI filtration tools. I just heard Google just released that it’s going to now put disclaimers and emails saying that this was written by AI. And so there’s it’s ever involving so depending on I guess when your listeners are hearing this, it may be completely different in a year, but I will tell you that there are definitely things that we need to metric and we need to have KPIs for. But I think the priority of what we used to measure two, three years ago, is significantly different than what we measure today, because of those rules and regulations. So if we’re talking about emails, I want to know what we’re sending, who we’re sending it to, who obviously is responding. What are those responses look like? Is it turning to an actual lead? Are we turning on warm leads, or are we just looking at set meetings? You know, it’s interesting, right? There is only about 2 to 3% of the market ever wants to truly buy, and they’re in buying mode, and I think a lot of companies are just looking for those people, and about 20% of the market is actually interested in buying and we turn that entire segment off. It’s about 10 times more people. But if we can warm the nurture them correctly, and message them correctly, that’s where the rubber meets the road, and that’s where your gold is. I like to analogize everything. So, yeah, when you have a green apple, right? What do you do with the green apple? You put it on the window sill, and then the sun on the windowsill warms it up. Now, that doesn’t mean you just throw out the apple. That means you have a lot of opportunity. You just have. To nurture, and you be patient. And you have to know that timing is everything in business. So if you’re just looking for the red apples, you’re only gonna get 3% if you’re looking for green apples that turn into red apples, now you’re getting 25% so focus on the 25, be patient. Fix those leaky buckets, of course. A/B test, and then then you measure. Christian Klepp  30:20 Yeah or you get yourself an apple orchard. You mentioned one keyword there, nurture, right? I think that’s the one that’ll I see a lot of, like people in sales and even in marketing, right? They just don’t take that time to nurture those leads. They close in. I keep saying they close in for the kill too fast, right? Gabe Lullo  30:44 Yeah. I mean, go back to that food analogy, that the fruit analogy, again. Christian Klepp  30:49 Sure. Gabe Lullo  30:49 I’m on a roll with that. Christian Klepp  30:50 Please. Gabe Lullo  30:50 It’s the low hanging fruit cliche, right? Christian Klepp  30:52 Yes. Gabe Lullo  30:52 Everyone focuses on the low hanging fruit. They’re not focusing on what else is part of that harvest. They’re not focusing on the nurturing. They’re not focused on watering. They’re not focusing on circling back, following up, checking in, providing value in those checks. Not just say, Hey, I’m following up, no, provide value in those seconds, right? And that’s again, that’s where you see excellence happen, you know? And there’s a lot of young, and I don’t mean to be age, but like tenure, people that are experienced, that are in these experience roles right now, and I feel that they’re just trying to get that quick answer and that quick response. And we’re in this like dopamine, like, you know, hit like social media environment right now. Not to go off topic, but I think people are not again, they’re in this microwave society, and they don’t understand the value of nurturing. And if you do and you treat that part seriously, wow, it usually is a windfall at that time. Christian Klepp  31:47 Absolutely, absolutely. It’s an art, a skill, a craft, isn’t it? Right? All of you love, okay, my friend, we come to the point in the conversation where we’re talking about actionable tips, and Gabe, you’ve given us plenty, all right, but just think of this kind of like a recap. If there was somebody listening to this conversation that you and I are having, and you want them to walk away with three to five things that they that they can take action on right now, when it comes to fixing a leaky marketing funnel, what would they be? Gabe Lullo  32:17 Well, I think the best thing is you have to really decide if you have the right people in place, right, and are they? And it doesn’t mean that they are the ones that are going to bring it home. It doesn’t mean that they’re they don’t need support and training and love, like, do they have the commitment? Do they have good experience? Are they willing to roll up their sleeves and get get a little dirty, and if you feel like you have a great team in place of people that are ready to get to work and solve some problems. I think that is literally step one. Step two is, do we have the messaging in the mark, in the ICP nailed down? We really need to know that, because, again, there’s no point of building a campaign if you don’t know who you’re sending it to. And then, thirdly, you really have to make sure that you’re willing to A/B test. It’s hard enough to build a campaign, but it’s much more difficult to build two or three campaigns. Run three campaigns, right as opposed to one, and score each of them to determine what’s working, what’s effective, and what’s not, and then you pivot based on those results. So I think finding a great team is basic and fundamental. Finding a great ice or determining a great ICP is before you build the messaging and then measure the message across multiple campaigns, and then you should be on your way Christian Klepp  33:29 And test, test, test, everything, right? Gabe Lullo  33:34 Yes, it’s great. It could be working. It’s exciting, but maybe there’s a significantly more effective way of doing it, even though it’s still working, and let the data make those decisions for you and drive everything based off data driven decisions, and that’s how you should be operating. Christian Klepp  33:51 Absolutely, absolutely. All right. Here comes the soapbox question, a status quo in your area of expertise that you passionately disagree with and why? Gabe Lullo  34:05 Yeah, I think the big thing right now, and I have to just kind of talk about my space, because you said in my industries, like, there’s a lot of, you know, people out there soapboxing, to be exact, on things that are dead or not. And I will tell you that, you know, cold calling is dead, emailing is dead. You know, LinkedIn is dead, or all of these things and and when you peel back the onion, you notice that those individuals who are saying that users are trying to sell a book or something, and nothing against selling books, but it sounds like there’s a personal agenda and not actual operational intelligence that is dictating what they’re saying. So to your point about testing everything, don’t assume something is not going to work just because someone said it on the internet. Test it and then decide if it’s going to work. And it may surprise you in a big, big way. Christian Klepp  34:56 I truly believe that, man, I truly believe that. I mean to your point. About, like, email being dead. I mean, I did close one client who was a guest on the show, and it took me a year to close, but I closed it through email. Gabe Lullo  35:09 Yeah. Christian Klepp  35:11 Right. And it’s to your point, it’s sending, sending that person articles that were relevant to that person’s industry and saying, like, Hey, I read this the other day, what are your thoughts on this? And here’s my take. What do you think? Gabe Lullo  35:24 That is the best way to do an email, right? You know, we do a lot of content and on social media, we do a lot of podcasting, posts on LinkedIn, but that’s all great, but where the rubber meets the road is you take that post and you send it in an email or a direct message and say, Hey, listen. This made me think of our last conversation, and I really liked the way that this person mentioned this. Do you think you know that there is, is the timing right here to reopen this conversation, and you feel like the problem is still existing in your world, and love to see if we can solve it for you, that type of content, that type of message, that type of verbiage at the right time in a nurture campaign like we discussed, close one business, right? That’s how it works. Christian Klepp  36:08 Absolutely, absolutely okay. Here comes the bonus question, and for those of you that are listening to the audio version, Gabe’s got two guitars right behind him, so I’m just gonna go on a hunch here that he likes playing guitar, right? So the question is, if you had the opportunity to, like, go on a tour with your favorite guitarist/musician, who would it be, and where would you go? Gabe Lullo  36:36 Wow, I love this question. I do play the guitar. I’m a bet big avid music player. Love Rock as well, but all genres, I will say, in real life, we just actually my family, my wife and daughter and I went to go see Oasis reunion tour, which was in Toronto, actually, out of all places. Christian Klepp  36:53 That’s right, you mentioned it. Gabe Lullo  36:54 Yeah, we went to see that. It was epic. Obviously, the brothers have been apart for many years. A lot of drama there. But yeah, you know, I’m old enough to remember their original songs, so it was cool to reminisce and introduce my daughter to that music, which was pretty cool. We’re gonna go see Paul McCartney in a few weeks. He’s on tour now and never seen him or I’m a big fan of The Beatles, and I think that would be really exciting to tour with him, obviously. And I think those are definitely both of those right there kind of sum up the type of music that I resonate with. Christian Klepp  37:26 Amazing, amazing. I just remember, like, this is, this is a couple of years ago. I think he’s already passed away, but Compay Segundo. Gabe Lullo  37:33 Oh yeah. Christian Klepp  37:34 Buena Vista Social Club. And the guy was in his 90s, and they were, they had a concert, and they they brought him up in stage in his wheelchair, helped him get up, get out of that wheelchair, and they gave him that guitar, and off he went, Man, like, Gabe Lullo  37:48 Yeah, yeah, that’s amazing, man, that’s amazing. Christian Klepp  37:53 Gabe, this has been such a great conversation. Thank you so much for coming on and for sharing your experience and expertise with the listeners. So please quick intro to yourself and how folks out there can get in touch with you. Gabe Lullo  38:03 Yeah, LinkedIn is the best way to connect with me directly. I post twice a day, every day. We’re very bullish with our content. There’s a lot of free material there. We have a newsletter, so please take a look at that, and if you like what you see, and he heard today, you know, reach out, and I’ll definitely be responsive. And you know, anyone who is looking or struggling with the after-sales motion, which are after marketing motion, that sales development function, that’s where we play, and we’d love to look at what you’re looking for and see how we can help. Christian Klepp  38:33 Sounds good. Gabe, once again, thank you so much for your time. Take care, stay safe and talk to you soon. Gabe Lullo  38:38 Thanks, Christian. Christian Klepp  38:39 All right. Bye for now.

Amir (Co-Founder at Humblytics) shares how he builds an “AI-native” company by focusing less on shiny tools and more on change management: assessing AI fluency across roles, setting the right success metrics, and creating shared context so AI can reliably ship work. The big theme is convergence—engineering, product, and design are collapsing into tighter loops thanks to tools like Cursor, MCP connectors, and Figma Make. Amir demos workflows like: AI-generated context files + auto-updated documentation, scraping customer domains to infer ICPs, turning screenshots into layered Figma designs, then converting Figma to working React code in minutes, and even running an “AI co-founder” Slack bot that files Linear tickets and can hand work to agents.Timestamps0:00 Introduction0:06 Amir's stance: “no AI experts” — it's constant learning in a fast-changing field.1:59 Cursor as the unlock: not just coding, but PM/strategy/design work via MCPs.4:17 The real problem: AI adoption is mostly change management + fluency assessment.5:18 The AI fluency rubric (helper → automator → augmentor → agentic) and why it matters.8:13 Cursor analytics: measuring AI-generated code and usage across the team.9:24 “New code is ~99% AI-generated” + how they keep quality via tight review + incremental changes.10:58 Docs workflow: GitBook connected to repo → AI edits docs and pushes live fast.14:02 ICP building: export Stripe customers → scrape domains with Firecrawl → cluster personas.17:45 Hallucination in the wild: AI misclassifies a company; human correction loop matters.34:43 Wild move: they often design in code and use an AI-generated style guide to stay consistent.38:10 Best demo: screenshot → Figma Make → layered design → Figma MCP → React code in minutes.45:29 “AI co-founder” Slack bot (Pixel): turns a bug report into a Linear ticket and can hand off to agents.48:46 Amir's wish list: we “solved dev”; now we need Cursor for marketing/sales → path to $1M ARR.Tools & technologies mentionedCursor — AI-first IDE used for coding and product/design/strategy workflows; includes team analytics.MCP (Model Context Protocol) — “connector” layer (Anthropic-origin) that lets LLMs interface with external tools/services.ChatGPT — used as a common baseline tool; discussed in the context of prompting practices and workflows.Microsoft Copilot — referenced via the law firm incentive story; used as an example of “usage metrics” gone wrong.Anthropic (AI fluency framework) — inspiration source for the helper/automator/augmentor/agentic rubric.GitBook — documentation platform connected to the repo so docs can be updated and published quickly.Firecrawl (MCP) — agentic web scraper used to analyze customer domains and infer ICP/personas.Stripe — source of customer export data (domains) to build ICP clustering.Figma — design collaboration tool; used here with Make + MCP to move from design → code.Figma Make — feature to recreate UI from an image/screenshot into editable, layered designs.Figma MCP — connector that allows Cursor/LLMs to pull Figma components/designs and generate code.React — front-end framework used in the demo for generating functional UI components.Supabase — mentioned as part of a sample stack when generating a PRD.React Router — mentioned as part of the sample stack in PRD generation.Slack — where Amir runs internal agents (including the “AI co-founder” bot).Linear — project management tool used for creating tickets from Slack/agent workflows.CI/CD — their deployment/review pipeline; emphasized as the human accountability layer.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Product marketers think they own the messaging. SEO thinks they own the traffic. But who actually owns your website—and why are they both probably wrong? In this spicy debate with BX Studio, we dig into the turf war destroying B2B websites, why your CEO is the real problem, and the radical idea that maybe your website should actually reject leads (yes, really). Buckle up for hot takes on keyword worship, the death of MQLs, and why your Rolex store strategy is all wrong.Featuring from BX Studio...Jacob Sussman, CEONikiya Griffith, Director of Organic GrowthGrace Arrese, Partnerships AssociateMore from this episode Why adding SEO keywords is like putting ketchup on a wagyu steakThe real reason your website converts trash leads (hint: it's not the copy)What Rolex stores know about lead qualification that B2B marketers don'tThe "Irish Exit" messaging framework that'll change how you write foreverWhy tracking MQLs is like measuring your height to lose weightThe CEO wrecking ball effect (and why it destroys every website eventually)How QuickBooks became a cautionary tale for AI-obsessed marketersThe Writer's Wiki secret that could save product marketing 20 hours a weekWhy your anti-ICP strategy matters more than your ICPThe shocking truth about who actually owns your website (spoiler: it's not who you think)Time Stamps00:00 Opening & Attendee Check-in01:00 Real Humans vs AI Note-takers Discussion02:00 Setting the Stage: PMMs vs Non-PMMs03:00 The Main Question: Who Should Own the Website?03:45 Eric's Hot Take: Product Marketing Should Own It04:45 Nikia's Counter: Joint Ownership is Key05:45 Website Ownership and Blame Discussion07:00 Real-World Website Conversion Problems08:30 The Writer's Wiki Solution11:00 Dream Relationships Between PMM and SEO13:00 Keyword Lists vs Message-First Approach16:00 Website Design and FAQ Strategy18:00 The CRO/CEO Acronym Confusion20:00 QuickBooks AI Positioning Disaster22:00 Who Has Final Say on Messaging?26:30 The CEO Wrecking Ball Problem29:00 The Irish Exit Messaging Analogy31:00 Metrics That Matter: SQLs vs MQLs33:00 The Rolex Store Anti-ICP Strategy35:00 Enterprise Positioning and Deterrence38:00 Nikia's Counter: Why More Metrics Matter41:00 The Internal Echo Chamber Problem45:00 GEO vs SEO: The New Frontier48:00 Closing Thoughts and FarewellHosted on Ausha. See ausha.co/privacy-policy for more information.

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss analyzing survey data using generative artificial intelligence tools. You will discover how to use new AI functions embedded in spreadsheets to code hundreds of open-ended survey responses instantly. You’ll learn the exact prompts needed to perform complex topic clustering and sentiment analysis without writing any custom software. You will understand why establishing a calibrated, known good dataset is essential before trusting any automated qualitative data analysis. You’ll find out the overwhelming trend in digital marketing content that will shape future strategies for growing your business. Watch now to revolutionize how you transform raw feedback into powerful strategy! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-processing-survey-data-with-generative-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, let’s talk about surveys and processing survey data. Now, this is something that we’ve talked about. Gosh, I think since the founding of the company, we’ve been doing surveys of some kind. And Katie, you and I have been running surveys of some form since we started working together 11 years ago because something that the old PR agency used to do a ton of—not necessarily well, but they used to do it well. Katie Robbert: When they asked us to participate, it would go well. Christopher S. Penn: Yes, exactly. Christopher S. Penn: And this week we’re talking about how do you approach survey analysis in the age of generative AI where it is everywhere now. And so this morning you discovered something completely new and different. Katie Robbert: Well, I mean, I discovered it via you, so credit where credit is due. But for those who don’t know, we have been a little delinquent in getting it out. But we typically run a one-question survey every quarter that just, it helps us get a good understanding of where our audience is, where people’s heads are at. Because the worst thing you can possibly do as business owners, as marketers, as professionals, is make assumptions about what people want. And that’s something that Chris and I work very hard to make sure we’re not doing. And so one of the best ways to do that is just to ask people. We’re a small company, so we don’t have the resources unfortunately to hold a lot of one-on-one meetings. But what we can do is ask questions virtually. And that’s what we did. So we put out a one-question survey. And in the survey, the question was around if you could pick a topic to deep dive on in 2026 to learn about, what would it be. Now keep in mind, I didn’t say about AI or about marketing because that’s where—and Chris was sort of alluding to—surveys go wrong. When we worked at the old shop, the problem was that people would present us with, “and this is the headline that my client wants to promote.” So how do we run a survey around it? Without going too far in the weeds, that’s called bias, and that’s bad. Bias equals bad. You don’t want to lead with what you want people to respond with. All of that being said, we’ve gotten almost 400 responses over the weekend, which is a fantastic number of responses. That gives us a lot of data to work with. But now we have to do something with it. What Chris discovered and then shared with me, which I’m very excited about, is you don’t have to code anything to do this. There were and there still are a lot of data analysis platforms for market research data, which is essentially what this is for: unstructured, qualitative, sentence structured data, which is really hard to work with if you don’t know what you’re looking for. And the more you have of it, the harder it is to figure out where the trends are. But now people are probably thinking, “oh, I just bring it into generative AI and say, summarize this for me.” Well, that’s not good enough. First of all, let’s just don’t do that. But there are ways to do it, no code, that you can really work with the data. So without further ado, Chris, do you want to talk about what you’ve been working on this morning? And we’re going to do a deep dive on our livestream on Thursday, which you can join us every Thursday at 1:00 PM Eastern. Go to Trust Insights AI TI podcast. Nope, that’s us today. Wait a second. TrustInsights AI YouTube, and you can follow live or catch the replay. And we’ll do a deep dive into how this works, both low code and high tech. But I think it’s worth at least acknowledging, Chris, what you have discovered this morning, and then we can sort of talk about some of the findings that we’re getting. Christopher S. Penn: So one of the most useful things that AI companies have done in the last 6 months is put generative AI into the tools that we already use. So Google has done this. They’ve put Gemini in Google Sheets, Google Docs, in your Gmail. Finally, by the way—slight tangent. They finally put it in Google Analytics. Three years later. Microsoft has put Copilot into all these different places as well. In Excel, in Word, in PowerPoint, and so on and so forth. And so what you can do inside of these tools is they now have formulas that essentially invoke an AI agent. So inside of Google Sheets you can type equals Gemini, then give it a prompt and then give it a cell to work on and have it do its thing. Christopher S. Penn: So what I did naturally was to say, “Okay, let’s write a prompt to do topic analysis.” “Okay, here’s 7 different topics you can choose from.” Gemini, tell me for this cell, this one survey response, which of the 7 topics does it fit in? And then it returns just the topic name and puts it in that cell. And so what used to be a very laborious hand coding—”okay, this is about this”—now you can just drag and fill the column and you’ve got all 400 responses classified. You can do sentiment analysis, you can do all sorts of stuff. Katie Robbert: I remember a quick anecdote, and I think I’ve told this story before. When I was doing clinical trial research, we were trying to develop an automated system to categorize sentiment for online posts about the use and abuse of opiates and stimulants. So, is it a positive sentiment? Is it a negative sentiment? With the goal of trying to understand the trends of, “oh, this is a pharmaceutical that just hit the market. People love it. The sentiment is super positive in the wrong places.” Therefore, it’s something that we should keep an eye on. All to say, I remember sitting there with stacks and stacks of printed out online conversation hand coding. One positive, two negative. And it’s completely subjective because we had to have 4 or 5 different hand coders doing the sentiment analysis over and over again until we came to agreement, and then we could start to build the computer program. So to see that you did this all in the span of maybe 20 minutes this morning is just—it’s mind blowing to me. Christopher S. Penn: Yeah. And the best part is you just have to be able to write good prompts. Katie Robbert: Well, therein lies the caveat. And I think that this is worth repeating. Critical thinking is something that AI is not going to do for you. You still have to think about what it is you want. Giving a spreadsheet to AI and saying, “summarize this,” you’re going to get crappy results. Christopher S. Penn: Exactly. So, and we’ll show this on the live stream. We’re going to walk through the steps on how do you build this? Very simple, no tech way of doing it, but at the very least, one of the things you’ll want to do. And we’ve done this. In fact, we did this not too long ago for an enterprise client building a sentiment analysis system: you have to have a known, good starting data set of stuff that has been coded that you agree with. And it can be 3 or 4 or 5 things, but ideally you start with that. So you can say, this is examples of what good and bad sentiment is, or positive and negative, or what the topic is. Write a prompt to essentially get these same results. It’s what the tech folks would call back testing, just calibration, saying, “This is a note, it still says, ‘I hate Justin Zeitzac, man, all this and stuff.’ Okay, that’s a minus 5.” What do they hate us as a company? Oh, okay. “That annoying Korean guy,” minus 5. So you’d want to do that stuff too. So that’s the mechanics of getting into this. Now, one of the things that I think we wanted to chat about was kind of at a very high level, what we saw. Katie Robbert: Yeah. Christopher S. Penn: So when we put all the big stuff into the big version of Gemini to try and get a sense of what are the big topics, really, 6 different topics popped out: Generative AI, broadly, of course; people wanting to learn about agentic AI; content marketing; attribution and analytics; use cases in general; and best practices in general. Although, of course, a lot of those had overlap with the AI portion. And when we look at the numbers, the number one topic by a very large margin is agentic AI. People want to know, what do we do with this thing, these things? How do we get them going? What is it even? And one of the things I think is worth pointing out is having Gemini in your spreadsheet, by definition, is kind of an agent in the sense that you don’t have to go back to an AI system and say, “I’ll do this.” Then copy-paste results back and forth. It’s right there as a utility. Katie Robbert: And I think that I’m not surprised by the results that we’re seeing. I assumed that there would be a lot of questions around agentic AI, generative AI in general. What I am happy to see is that it’s not all AI, that there is still a place for non-AI. So, one of the questions was what to measure and why, which to be fair, is very broad. But you can make assumptions that since they’re asking us, it’s around digital marketing or business operations. I think that there’s one of the things that we try to ask in our free Slack group, Analytics for Marketers, which you can join for free at trustinsights.ai/analyticsformarketers. We chatting in there every day is to make sure that we have a good blend of AI-related questions, but also non-AI-related questions because there is still a lot of work being done without AI, or AI is part of the platform, but it’s not the reason you’re doing it. We know that most of these tools at this day and age include AI, but people still need to know the fundamentals of how do I build KPIs, what do I need to measure, how do I manage my team, how do I put together a content calendar based on what people want. You can use AI as a supporting role, but it’s not AI forward. Christopher S. Penn: And I think the breakout, it’s about, if you just do back of the envelope, it’s about 70/30. 70% of the responses we got really were about AI in some fashion, either regular or agentic. And the 30% was in the other category. And that kind of fits nicely to the two themes that we’ve had. Last year’s theme was rooted, and this year’s theme is growth. So the rooted is that 30% of how do we just get basic stuff done? And the 70% is the growth. To say, this is where things are and are likely going. How do we grow to meet those challenges? That’s what our audience is asking of us. That’s what you folks listening are saying is, we recognize this is the growth opportunity. How do we take advantage of it? Katie Robbert: And so if we just look at all of these questions, it feels daunting to me, anyway. I don’t know about you, Chris—you don’t really get phased by much—but I feel a little overwhelmed: “Wow, do you really know the answers to all of these questions?” And the answer is yes, which is also a little overwhelming. Oh wait, when did that happen? But yeah, if you’re going to take the time to ask people what they’re thinking, you then have to take the time to respond and acknowledge what they’ve asked. And so our—basically our mandate—is to now do something with all of this information, which we’re going to figure out. It’s going to be a combination of a few things. But Chris, if you had your druthers, which you don’t, but if you did. Where would you start with answering some of these questions? Christopher S. Penn: What if I had my druthers? I would put. Take the entire data set one piece at a time and take the conclusion, the analysis that we’ve done, and put it into Claude Code with 4 different agents, which is actually something I did with my own newsletter this past weekend. I’d have a revenue agent saying, “How can we make some money?” I’d have a voice of the customer agent based on our ICP saying, “Hey, you gotta listen to the customer. This is what we’re saying. This is literally what we said. You gotta listen to us.” “Hey, your revenue agent, you can’t monetize everything. I’m not gonna pay for everything.” You would have a finance and operations agent to say, “Hey, let’s. What can we do?” “Here’s the limitations.” “We’re only this many people. We only have this much time in the day. We can’t do everything.” “We gotta pick the things that make sense.” And then I would have the Co-CEO agent (by virtual Katie) as the overseer and the orchestrator to say, “Okay, Revenue Agent, Customer Agent, Operations Agent, you guys tell me, and I’m going to make some executive decisions as to what makes the most sense for the company based on the imperatives.” I would essentially let them duke it out for about 20 minutes in Claude Code, sort of arguing with each other, and eventually come back with a strategy, tactics, execution, and measurement plan—which are the 4 pieces that the Co-CEO agent would generate—to say, “Okay, out of these hundreds of survey responses, we know agentic AI is the thing.” “We know these are the kinds of questions people are asking.” “We know what capabilities we have, we know limitations we have.” “Here’s the plan,” or perhaps, because it’s programmed after you, “Here’s 3 plans: the lowest possible, highest possible, middle ground.” And then we as the humans can look at it and go, “All right, let’s take some of what’s in this plan and most of what’s in this plan, merge that together, and now we have our plan for this content.” Because I did that this weekend with my newsletter, and all 4 of the agents were like, “Dude, you are completely missing all the opportunities. You could be making this a million-dollar business, and you are just ignoring it completely.” Yeah, Co-CEO was really harsh. She was like, “Dude, you are missing the boat here.” Katie Robbert: I need to get my avatar for the Co-CEO with my one eyebrow. Thanks, Dad. That’s a genetic thing. I mean, that’s what I do. Well, so first of all, I read your newsletter, and I thought that was a very interesting thing, which I’m very interested to see. I would like you to take this data and follow that same process. I’m guessing maybe you already have or are in the process of it in the background. But I think that when we talk about low tech and high tech, I think that this is really sort of what we’re after. So the lower tech version—for those who don’t want to build code, for those who don’t want to have to open up Python or even learn what it is—you can get really far without having to do that. And again, we’ll show you exactly the steps on the live stream on Thursday at 1:00 PM Eastern to do that. But then you actually have to do something with it, and that’s building a plan. And Chris, to your point, you’ve created synthetic versions of basically my brain and your brain and John’s brain and said, “Let’s put a plan together.” Or if you don’t have access to do that, believe it or not, humans still exist. And you can just say, “Hey Katie, we have all this stuff. People want to get answers to these questions based on what we know about our growth plans and the business models and all of those things. Where should we start?” And then we would have a real conversation about it and put together a plan. Because there’s so much data on me, so much data on you and John, etc., I feel confident—because I’ve helped build the Co-CEO—I feel confident that whatever we get back is going to be pretty close to what we as the humans would say. But we still want that human intervention. We would never just go, “Okay, that’s the plan, execute it.” We would still go, “Well, what the machines don’t know is what’s happening in parallel over here.” “So it’s missing that context.” “So let’s factor that in.” And so I’m really excited about all of it. I think that this is such a good use of the technology because it’s not replacing the human critical thinking—it’s just pattern matching for us so that we can do the critical thinking. Christopher S. Penn: Exactly. And the key really is for that advanced use case of using multiple agents for that scenario, the agents themselves really do have to be rock solid. So you built the ideal customer profile for the almost all the time in the newsletter. You built… Yeah, the Co-CEO. We’ve enhanced it over time, but it is rooted in who you are. So when it makes those recommendations and says those things, there was one point where it was saying, “Stop with heroics. Just develop a system and follow the system.” Huh, that sounds an awful lot. Katie Robbert: I mean, yeah, I can totally see. I can picture a few instances where that phrase would actually come out of my mouth. Christopher S. Penn: Yep, exactly. Christopher S. Penn: So that’s what we would probably do with this is take that data, put it through the smartest models we have access to with good prompts, with good data. And then, as you said, build some plans and start doing the thing. Because if you don’t do it, then you just made decorations for your office, which is not good. Katie Robbert: I think all too often that’s what a lot of companies find themselves in that position because analyzing qualitative data is not easy. There’s a reason: it’s a whole profession, it’s a whole skill set. You can’t just collect a bunch of feedback and go, “Okay, so we know what.” You need to actually figure out a process for pulling out the real insights. It’s voice of customer data. It’s literally, you’re asking your customers, “What do you want?” But then you need to do it. The number one mistake that companies make by collecting voice of customer data is not doing anything with it. Number 2 is then not going back to the customer and acknowledging it and saying, “We heard you.” “Here’s now what we’re going to do.” Because people take the time to respond to these things, and I would say 99% of the responses are thoughtful and useful and valuable. You’re always going to get a couple of trolls, and that’s normal. But then you want to actually get back to people, “I heard you.” Your voice is valuable because you’re building that trust, which is something machines can’t do. You’re building that human trust in those relationships so that when you go back to that person who gave you that feedback and said, “I heard you, I’m doing something with it.” “Here’s an acknowledgment.” “Here’s the answer.” “Here’s whatever it is.” Guess what? Think about your customer buyer’s journey. You’re building those loyalists and then eventually those evangelists. I’m sort of going on a tangent. I’m very tangential today. A lot of companies stop at the transactional purchase, but you need to continue. If you want that cycle to keep going and have people come back or to advocate on your behalf, you need to actually give them a reason to do that. And this is a great opportunity to build those loyalists and those evangelists of your brand, of your services, of your company, of whatever it is you’re doing by just showing up and acknowledging, “Hey, I heard you, I see you.” “Thank you for the feedback.” “We’re going to do something with it.” “Hey, here’s a little token of appreciation,” or “Here’s answer to your question.” It doesn’t take a lot. Our good friend Brook Sellis talks about this when she’s talking about the number one mistake brands make in online social conversations is not responding to comments. Yeah, doesn’t take a lot. Christopher S. Penn: Yeah. Doesn’t cost anything either. Katie Robbert: No. I am very tangential today. That’s all right. I’m trying not to lose the plot. Christopher S. Penn: Well, the plot is: We’ve got the survey data. We now need to do something about it. And the people have spoken, to the extent that you can make that claim, that Agentic AI and AI agents is the thing that they want to learn the most about. And if you have some thoughts about this, if you agree or disagree and you want to let us know, pop on by our free Slack, come on over to Trust Insights AI/analytics for marketers. I think we’re probably gonna have some questions about the specifics of agentic AI—what kinds of agents? I think it’s worth pointing out that, and we’ve covered this in the past on the podcast, there are multiple different kinds of AI agents. There’s everything from what are essentially GPTs, because Microsoft Copilot calls Copilot GPTs Copilot agents, which is annoying. There are chatbots and virtual customer service agents. And then there’s the agentic AI of, “this machine is just going to go off and do this thing without you.” Do you want it to do that? And so we’ll want to probably dig into the survey responses more and figure out which of those broad categories of agents do people want the most of, and then from there start making stuff. So you’ll see things in our, probably, our learning management system. You’ll definitely see things at the events that folks bring us in to speak at. And yeah, and hopefully there’ll be some things that as we build, we’ll be like, “Oh, we should probably do this ourselves.” Katie Robbert: But it’s why we ask. It’s too easy to get stuck in your own bubble and not look outside of what you’re doing. If you are making decisions on behalf of your customers of what you think they want, you’re doing it wrong. Do something else. Christopher S. Penn: Yeah, exactly. So pop on by to our free Slack. Go to TrustInsights.ai/analyticsformarketers, where you and over 4,500 other folks are asking and answering those questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on, check out TrustInsights.ai/tipodcast. You can find us in all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insight services span the gamut from developing comprehensive data strategies and conducting deep dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology and MarTech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the *In Ear Insights* podcast, the *Inbox Insights* newsletter, the *So What* Livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations, data storytelling. This commitment to clarity and accessibility extends to Trust Insights’ educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Send us a textWe map the five lead sources that drove the most revenue last year and share the simple systems that make growth feel calm: niche communities, guest podcasting, lead waterfalls, LinkedIn nurture, and referrals done right. The aim is clarity, not hustle, so you can double down on what works for you.• auditing closed-won deals to find true lead sources• how to find and show up in niche communities• a simple cadence for events and workshops as a lead waterfall• why guest podcasting converts and how to pitch smarter• using LinkedIn as a nurture engine, not a spray channel• building a referral system with clear ICP and language• using a super signature to train your market• a repeatable, low-pressure path to being booked outIf this episode made things feel a little more doable, I'd love to help you take the next step with the booked out blueprint. It's a practical, low pressure session to clarify your offers, your marketing, and what actually moves the needle. You can book yours through the link in the show notes. You don't have to figure it out alone.My Booked Out Blueprint starts with a private 45-minute interview where I learn your business, your goals, and what's actually holding you back. From that, I create a custom roadmap showing your best route to booked out—no fluff, just clarity. It's $397, and if you move forward into Booked Out in Six, that $397 is fully credited. Book Yours Here. Join my events community for FREE monthly events.I offer free events each month to help you master your business's growth through marketing, sales, systems, and offer strategy. Join the community here!Support the showSchedule a Booked-out Blueprint >>> Schedule.Come tour my digital home :) >>>WebsiteWanna be friends? >>> LinkedInLet's chat every Tuesday! >>> NewsletterCatch the video podcast on YouTube >>>YouTubeJoin my event group for live events >>>Meetup

Turnstile is reimagining quote-to-cash for the modern B2B world, where negotiated agreements create operational chaos that standard pricing never does. After selling Second Measure to Bloomberg, co-founders Michael Babineau and Lillian Chou experienced the irony firsthand: running a data analytics company while managing their own revenue operations through spreadsheets and manual processes. That incongruence became the catalyst for Turnstile, a self-serve revenue platform designed to support sales-led B2B companies from their first negotiated deal through tens of millions in ARR. In this conversation, Michael shares how they're solving the structured data problem that plagues B2B revenue operations, why eliminating custom development forced genuine platform flexibility, and how they're collapsing a traditionally 3-6 month implementation into a self-serve onboarding that takes minutes. Topics Discussed: Why negotiated B2B agreements create the structured data problem that breaks revenue operations Turnstile's compound startup approach spanning quote-to-cash to revenue recognition The internal ban on custom development that forced true configurability into the platform How supporting non-standard contracts from day one enables earlier market entry than traditional CPQ Revenue leakage and "truth drift" between contract terms and actual customer relationships The rippling-style GTM strategy: start with startups, grow into enterprise with your customers Positioning challenges when your category exists but your ICP doesn't know it yet Building for human operators and AI agents simultaneously on the same platform primitives Agentic dunning and the roadmap toward AI-automated revenue operations // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

We explore the practical basics of managing an elevated ICP with impending herniation, including EVD troubleshooting, hyperosmolar therapies, and the role of craniectomy. Learn more at the Intensive Care Academy! References

Most founders are terrified of "Red Oceans" or markets saturated with massive competitors. They think the only way to win is to find a completely untapped "Blue Ocean." In this episode of the ProductLed 100 series, Wes Bush sits down with Patrick Thompson (CEO of Clarify.ai) and Esben Friis-Jensen (Co-Founder of Userflow) to discuss why entering a crowded market is actually the smartest move a founder can make if you have the right strategy. Patrick reveals how he spent six months interviewing potential customers before writing a single line of code for Clarify, an autonomous CRM designed to disrupt the industry giants. Together with Esben, they break down the exact framework for validating problems, the power of business model disruption through pricing wars, and why "feature parity" is not the goal. Whether you are building a new startup or trying to carve out space in a competitive category, this episode offers a masterclass in customer discovery, positioning, and Go-To-Market execution. Key Highlights: 02:15 : Why Patrick spent 6 months on discovery before writing a line of code 06:53 : The "Red Ocean" Advantage: Why crowded markets are easier than Blue Oceans 10:10 : How to differentiate when features are commoditized 12:34 : Using price and ease of use as a wedge against incumbents 18:31 : The 3-Step Framework for building what people want: ICP, Channels, and Business Model 23:12 : Which acquisition channels actually work (Product Hunt vs. Founder-led Marketing) 30:04 : Why complex products still need human onboarding, even in PLG 36:49 : How to operationalize customer feedback for engineering teams Resources:

In this insightful conversation, Tania sits down with The Danish Way of Parenting co-author Jessica Joelle Alexander to explore what Denmark — one of the happiest nations in the world — can teach us about raising healthy, grounded kids in a digital age.Together they discuss how Danish families approach screens with balance, community values, and trust — focusing not on restriction, but on digital citizenship. Jessica shares practical ways parents can cultivate empathy, responsibility, and critical thinking through the use of Digital Citizen Cards, a tool that helps children learn to navigate online spaces with integrity and awareness.This conversation offers a hopeful reframe: technology isn't the enemy — disconnection is. By raising digital citizens, not digital consumers, parents can help kids thrive both online and offline.To find out more about Raising Digital Citizens, click hereTo purchase the conversation cards, click hereWanting more from ICP? Get 50 % off our annual membership with the coupon code: PODCAST5090+ courses on parenting and children's mental healthPrivate community where you can feel supportedWorkbooks, parenting scripts, and printablesMember-only Webinars Course Certificates for Continuing EducationAccess to our Certification ProgramLive Q & A Sessions for Parents & ProfesssionalsBi-Annual Parenting & Mental Health ConferencesDownloadable Social Media CollectionRobust Resource LibraryClick here for more Hosted on Acast. See acast.com/privacy for more information.

Episode Overview In this timely and thought-provoking episode of the John Kitchens Coach Podcast, John Kitchens is joined by returning guest Eric Post, AI strategist, founder of Huzi.ai, and one of the sharpest minds at the intersection of technology, consumer behavior, and real estate. This conversation goes far beyond "how to use AI." John and Eric unpack the real threat and opportunity in the market today: the AI-powered consumer. As consumers gain instant access to information, agents can no longer win by being the knowledge holder. Instead, success now belongs to the wisdom worker—the advisor who brings clarity, discernment, experience, and trust. They explore how the internet has shifted from a place of search to a place of conversations, why SEO alone is no longer enough, and how agents must rethink branding, content, leadership, and customer experience to stay relevant in 2025 and beyond. This episode is a masterclass in AI, leadership, consumer psychology, and designing unforgettable client experiences in a rapidly changing world. Key Topics Covered The Rise of the AI-Powered Consumer Why the #1 consumer complaint is no longer lack of communication—but "I know more than my agent" How AI has shifted the internet from search to conversation What it means when 90%+ of AI interactions never click through to a website Why Zillow is no longer the real threat—and what is From Knowledge Worker to Wisdom Worker Why memorizing contracts, stats, and processes is no longer a competitive advantage The difference between information and discernment How top agents win by understanding people, not just data Why "good enough" agents are the most vulnerable in an AI world Trust, Purpose, and the New Agent Value Proposition Defining your role when consumers already have the answers Why agents must become guides, not order-takers The importance of emotional intelligence, intuition, and presence How trust is built through personalization, not speed alone Content, Branding & Being Found in an AI World Why agents must start writing content for both humans and AI The difference between SEO, AEO (Answer Engine Optimization), and GEO (Generative Engine Optimization) Why upstream life events (death, divorce, debt, downsizing) matter more than listing searches How to position yourself as the authority AI pulls from—not just another result Efficiency vs. Experience: Choosing Your Lane Why the "middle ground" is the most dangerous place to operate The difference between budget efficiency and premium experience Why memorable, designed client experiences create defensibility How "unreasonable hospitality" becomes the ultimate moat AI as a Force Multiplier (Not a Crutch) Why AI should augment thinking—not replace discipline How tools like Zi.ai, Spark Pad, and Halo help agents scale wisdom Using AI to clarify niche, ICP, and proprietary processes faster than ever The danger of letting AI lead instead of using it intentionally Resources & Mentions Huzi.ai – Purpose-built AI for real estate professionals Spark Pad – AI workspace for clarity, messaging, and strategy Halo – AI visibility and monitoring across ChatGPT, Gemini, Claude, Perplexity, and more CoachKitchens.ai – Custom AI tools built for Agent to CEO operators The Empty Room by Eric Post – Manifesto on wisdom, creativity, and AI Unreasonable Hospitality by Will Guidara Rick Rubin – Creativity, taste, and intuition references Final Takeaway AI isn't replacing real estate agents—but it is replacing average ones. In a world where consumers have instant access to information, the agents who win are those who bring wisdom, clarity, trust, and experience to the table. Speed and efficiency are now table stakes. Differentiation comes from insight, personalization, and the ability to guide people through complex, emotional decisions. As Eric Post makes clear, the future belongs to those who design memorable experiences, understand the AI-powered consumer, and intentionally evolve from knowledge workers into true advisors. "You can't compete with AI on speed or memory. You win by being human—by bringing wisdom, taste, and discernment." – Eric Post Connect with Us: Instagram: @johnkitchenscoach LinkedIn: @johnkitchenscoach Facebook: @johnkitchenscoach If you enjoyed this episode, be sure to subscribe and leave a review. Stay tuned for more insights and strategies from the top minds. See you next time!

On this episode of Lipps Service, Scott Lipps sits down with Shaggy 2 Dope of Insane Clown Posse for a raw, unfiltered look at how ICP built a movement from the ground up. Shaggy revisits growing up broke in Detroit, meeting Violent J, and the earliest days of hustling, passing out flyers, wrestling shows, and navigating real gang-adjacent street situations that shaped their worldview. He breaks down the inspiration behind the face paint, the transition from Inner City Posse, and the creation of the Dark Carnival mythology that helped define an entirely new genre. The conversation also dives into dangerous early shows, the Disney/Hollywood Records fallout, and how media attacks, industry feuds, and even FBI scrutiny only reinforced the Juggalos' loyalty and culture. Shaggy reflects on the power of the Gathering of the Juggalos, ICP's latest record, wild industry stories, and his personal Top 5 hip-hop artists, offering a definitive look at the controversy, community, and resilience that continue to define ICP's legacy.2:25 how ICP met3:58 growing up in Detroit poor 6:30 on the early beginnings 7:52 on his first musical memory 10:20 on the early wrestling days13:40 on passing out flyers for those early shows15:00 on the idea for the makeup and KISS 20:20 on inner city posse22:00 on early gang kid situations23:57 on creating a genre27:52 on the dark carnival32:45 on the early dangerous shows34:45 the Disney era. Hollywood records and getting banned.49:13 on the Sharon Osbourne story and Howard stern52:08 on the Eminem beef.56:00 on the FBI time period58:55 on the gatherings 1:04:24 on the latest record1:06;25 on the Fred durst story1:08:40 on his top 5 hip hop artistsTimestamps:

On this episode of Lipps Service, Scott Lipps sits down with Shaggy 2 Dope of Insane Clown Posse for a raw, unfiltered look at how ICP built a movement from the ground up. Shaggy revisits growing up broke in Detroit, meeting Violent J, and the earliest days of hustling, passing out flyers, wrestling shows, and navigating real gang-adjacent street situations that shaped their worldview. He breaks down the inspiration behind the face paint, the transition from Inner City Posse, and the creation of the Dark Carnival mythology that helped define an entirely new genre. The conversation also dives into dangerous early shows, the Disney/Hollywood Records fallout, and how media attacks, industry feuds, and even FBI scrutiny only reinforced the Juggalos' loyalty and culture. Shaggy reflects on the power of the Gathering of the Juggalos, ICP's latest record, wild industry stories, and his personal Top 5 hip-hop artists, offering a definitive look at the controversy, community, and resilience that continue to define ICP's legacy.00:00 - Start03:25 - How ICP met04:58 - Growing up in Detroit poor 07:30 - Music beginnings 08:52 - First musical memory 0:11:20 - Early wrestling days0:15:40 - Passing out flyers for early shows0:16:00 - Idea for the makeup and KISS 0:21:20 - Inner city posse0:23:00 - Early gang kid situations0:24:57 - Creating a genre0:28:52 - The dark carnival0:33:45 - Early dangerous shows0:35:45 - The Disney era, Hollywood records, and getting banned0:50:13 - Sharon Osbourne story and Howard Stern0:53:08 - Eminem beef0:57:00 - FBI time period0:59:55 - Gatherings 1:05:24 - Latest record1:07:25 - Fred Durst story1:09:40 - Top 5 hip hop artists

This week we celebrate the season by listening to the Insane Clown Posse and wishing you all a very merry ICPissmas! We are listening to the brand new album The Naught, released Aug. 12, 2025. Fair warning, it isn't all Faygo and murder this time dear listeners. These clowns are getting older and beginning to fill their songs with existential dread and fears about their own mortality (it's pretty funny). In this episode we discuss poorly designed demons, Tim claims Jesus is a clown, pathological aging, spontaneous games of pickup basketball, how to celebrate this strange holiday we made up, if ICP is now writing songs about our show, the dangers of online dating and subsequent catfishing, undercover Van Helsing sting operations, a debate about which host is "softer", bed wetting, existential dread, and so much more! Hatepod.com | TW: @AlbumHatePod | IG: @hatePod | hatePodMail@gmail.com  Episode Outline: Top of the show "Do you hate it?" Personal History History of Artist  General Thoughts  Song by Song - What do they mean!?! How Did it Do Reviews Post Episode "Do you hate it?"

Season seven of the Grow Your B2B SaaS podcast centered on one core ambition: how to grow from early validation at 10K MRR to meaningful scale at 10M ARR. Across the season, founders, operators, and leaders shared practical guidance on product-market fit, hiring, go-to-market systems, partnerships, pricing, revenue operations, community, expansion revenue, and more. This summary distills their insights as shared in the episodes—nothing theoretical, nothing added beyond what they discussed—into a single, coherent narrative designed to help you focus, execute, and build momentum.From the outset, the thesis is clear. There are patterns you'll hear repeatedly—focus, alignment, ICP clarity, hiring for stage-fit, segmentation, community, and systems. There are also points of debate that reflect the realities of stage and context. What follows is a structured walkthrough of the advice discussed in the season, episode by episode, following the journey from 10K MRR through the climb toward 10M ARR.Season 7 Full Episode listS7E1: How to Build SaaS Partnerships That Actually Drive Revenue with KaraLynn LewisS7E2: Why 80% of Outbound Sales Fails, and How to Fix It with Besnik VrellakuS7E3: Building SaaS Partnerships That Actually Drive Revenue with Hugo PereiraS7E4: Why Your SaaS GTM Isn't Working And How to Fix It with Operational Discipline with Garrath RobinsonS7E5: B2B SaaS Sales Growth: Outbound Strategies to Scale Revenue with Joey GilkeyS7E6: How is AI Transforming Go To Market for B2B SaaS with Maja VojeS7E7: Why Human Psychology Still Wins in B2B SaaS Sales (Even in the Age of AI) with Desiree-Jessica PelyS7E8: Building a Community-Led Growth Engine for SaaS with Michelle GoodallS7E9: The Future of SaaS Content: AI, Personal Branding, and Authority with Tommy WalkerS7E10: Scaling SaaS Sales: From Founder-Led to High-Performance Teams with Kevin “KD” DorseyS7E11: How to Use Signal-Based Selling to Drive Efficient SaaS Growth with Shoaib G.M.S7E12: SaaS Pricing Strategy 2026: Hybrid Models, AI Costs & Value-Based Pricing with Tjitte JoostenS7E13: Building a Global SaaS GTM: Cultural Nuances, Local Teams & Expansion with Varun ThambaS7E14: Scaling SaaS in 2026: AI Adoption, Pricing Shifts & Efficient Growth with Romy Kotler-de GrootS7E15: SaaS Monetization in 2026: Tiering, Usage, AI Add-Ons & Pricing Experiments with Krzysztof SzyszkiewiczS7E16: SaaS GTM in 2026: AI, Hybrid Sales & High-Performance Revenue Engines with Richard SchenzelS7E17: How PLG Will Change in 2026: AI Agents, Onboarding & Hybrid GTM with Roelof OttenS7E18: Preparing Your SaaS for an Exit: Valuation Drivers, Buyers & Metrics That Matter with René de JongS7E19: How SaaS GTM Will Change in 2026: Thought Leadership, Intent Signals & AI-Powered Growth with Glenn MiseroyS7E20: How SaaS Companies Will Scale in 2026: GTM Efficiency, RevOps, and Word-of-Mouth Growth with Koen StamS7E21: How AI Will Rewrite SaaS GTM in 2026: Pricing, Efficiency & Sales Automation with Jacco van der Kooij

This Best of 2025 episode brings together the most listened-to and most shared conversations from Beyond Coaching this year.Each segment tackles a reality coaches deal with every day: how to build culture when not everyone plays, how to develop leaders through failure, and how to handle stress without trying to eliminate it.You'll hear from Brent Hobson, Jim McNeal, and Mitch Hull—three coaches and leaders working in very different environments, but wrestling with the same leadership challenges.Different settings. Same issues. Leadership, pressure, failure, and building programs that last.Episode HighlightsBrent Hobson – Value Beyond Playing TimeNot everyone plays—but everyone still shapes the culture. Brent Hobson, longtime head coach of Friends University Women's Soccer, explains how he intentionally builds value for athletes who may never see the field, including why the only award in his office has nothing to do with wins or goals. This is what team-first culture looks like in practice.Topics include:Building value beyond the lineupThe Garland Award and why it mattersCoaching honesty without lowering standardsWhat's actually changed—and hasn't—with today's athletesJim McNeal – Failure as a Leadership ToolJim McNeal, retired Navy Reserve Rear Admiral and leadership mentor at the U.S. Naval Academy, explains why the Academy is intentionally designed to make high achievers fail—and why that matters.Failure isn't accidental. It's part of the training.Topics include:The Naval Academy as a leadership laboratoryWhy leaders are judged on how they lead people, not just resultsHelping high achievers learn to fail safelyShifting from external success to internal standardsMitch Hull – Stress, Pressure, and the ProcessWe spend a lot of time trying to remove stress from sport. Research suggests that approach often backfires.Mitch Hull explains why stress itself isn't the problem, why perception matters more than pressure, and how coaches reduce stress by focusing on habits, preparation, and daily execution—not the scoreboard.Topics include:Why “stress is bad” is the wrong messageReframing pressure as preparationProcess-over-outcome coachingHelping athletes perform when it matters mostBeyond Coaching is produced by the Impactful Coaching Project, an initiative focused on helping coaches lead the whole person—not just the performer.The Impactful Coaching Project exists to support coaches at every level as they navigate leadership, culture, pressure, and the realities of coaching today's athletes. Through podcasts, writing, research, and coach education, ICP emphasizes practical leadership, honest conversations, and systems of care that help teams perform and people grow.Learn more at impactfulcoachingproject.com

Ketamine is a dissociative anesthetic that provides powerful analgesia while preserving spontaneous ventilation, airway reflexes, and sympathetic tone, which makes it especially valuable in trauma, bronchospasm, difficult airways, and in patients with high opioid tolerance. As a phencyclidine derivative with a chiral center, it exists as two enantiomers, with S-ketamine roughly twice as potent as R-ketamine and associated with fewer unpleasant emergence reactions, while its pKa and balanced water–lipid solubility allow rapid CNS penetration and redistribution-limited offset. Its multimodal mechanism centers on noncompetitive NMDA antagonism but also includes opioid receptor modulation, catecholamine reuptake inhibition, AMPA receptor effects, ion channel blockade, muscarinic antagonism, and anti-inflammatory actions, all of which underpin clinical dosing strategies for induction, maintenance, procedural sedation, and analgesic infusions as well as key considerations around emergence delirium, secretions, cardiovascular status, and ICP.Want to learn more? Grab our Cardiac Pharm Course --> [HERE]⚛️ CONNECT:

"Levantar capital es difícil. Vender no debería serlo."En este episodio de Innovación Sin Barreras, converso con Andrés Nájera, quien comparte el framework exacto que ha usado para ayudar a cientos de startups a pasar del caos comercial a sistemas predecibles de ingresos.Esta no es una charla teórica. Es una masterclass táctica sobre cómo implementar el Framework MORE (Maximizar, Optimizar, Repetir, Escalar) para vender más sin depender de inversionistas.Andrés revela cómo un founder pasó de tener 6 a 36 reuniones de venta al mes en solo 30 días, simplemente activando recursos que ya tenía y no estaba usando. Hablamos de por qué la estrategia "Shotgun" (disparar a todos lados) está matando tu crecimiento y cómo cambiar a una mentalidad de "Sniper" (francotirador).Si sientes que necesitas más dinero para vender más, este episodio derribará esa creencia y te dará las herramientas para ejecutar hoy mismo.Lo que vas a aprender:

You've been waiting all year to find out, and the answer is finally here! WHO WILL WIN CHRISTMAS 2025!? Will it be Andy again, or will a new champion take the title? For the first time ever, ROBBIE is joining us as the Christmaster of ceremonies! Come along with us on this holiday journey, as we unravel the unknown lore of Christmas and compete for Christmas dominance!Click these links to listen to Andy's bands! Heat, Force of Will, Concrete Cage, Casket BreathIf you want to interact with us, send us messages, follow us, support us, or join our community, check out the links on our WEBSITE.Erik's new solo album released in October! If you like FUKKFAACE and/or underground rap in general, give it a listen! xMINUSx - BUILDING 2Check out DO IT FOR THE UNDERGROUND (DIFTUG), Robbie's underground rap and horrorcore focused news show on YouTube, HERE

David Stifter spent 20 years as head of technology at Colony Capital, managing systems for a $60 billion private equity real estate firm. When a longtime AP specialist retired, the company lost its institutional knowledge for coding complex invoices across thousands of entities and tenant relationships. After a year evaluating RPA, template-based approaches, and early OCR solutions, David recognized that structured historical data—invoices paired with their coding—could train AI models to capture implicit business rules. Five years ago, at 40 with young children, he left his executive role to build PredictAP. The company now processes tens of thousands of invoices monthly for firms including Bridge Investment Group, demonstrating how operational expertise combined with AI can solve problems that pure technology approaches miss. Topics Discussed Identifying AI use cases with structured annotated data and human feedback loops  Moving from CTO buyer to vendor founder and discovering which networks actually convert  Building repeatable sales motion after exhausting warm introductions  Technology adoption barriers in real estate and the domain expertise requirement for vertical SaaS  Hiring sales leadership to scale from founder-led to systematic pipeline generation  Solving complete workflow integration challenges beyond isolated technical problems GTM Lessons For B2B Founders Match technical approach to problem structure, not trend: David identified three critical elements for his AI application: structured annotated data from historical invoice coding, recognizable patterns in implicit business rules, and human review as a feedback mechanism. He notes many founders "try to shove AI, the AI hammer to smash any nail, but they're not always the best use case." Six years ago, before modern LLMs, he used historical invoice-coding pairs as training data—solving the annotation problem that plagued early machine learning. Founders should evaluate whether their problem has the structural characteristics that make a given technology approach viable, rather than applying trending solutions to force market fit. Network quality reveals itself when you need something: David contrasts two early investors: a former acquisitions executive who promised extensive connections but delivered "not a single callback" after leaving their role, versus an asset manager who generated "hundreds" of leads through genuine relationships. The acquisitions person experienced "an existential crisis" realizing "my network was based upon my ability to have a massive checkbook behind me." Founders should recognize that network strength isn't tested until you're asking rather than giving—those who built relationships through consistent helpfulness rather than transactional power will see different response rates when they launch. Architect the founder-led to systematic sales transition: After two years of founder-led sales, David "hit that wall" and brought in Steve Farrell, prioritizing experience scaling from $3-5M to $20M ARR over industry-specific expertise. He notes warm intro calls are "very to the point" while cold outreach "starts hostile or skeptical"—requiring entirely different trust-building approaches. The shift required adding BDRs, AEs, and systematic content generation. Founders should hire sales leadership with specific stage experience before network depletion forces reactive hiring, and expect to rebuild positioning for skeptical buyers who lack pre-existing trust. Integrate solutions into existing workflow infrastructure: David emphasizes the failure mode of optimized point solutions: "They have a perfect solution from the technical problem but it's not going to work for this firm because it's not going to fit into their workflow." He maps the complete experience including integration with existing systems, training requirements, user experience, consistency, and speed. Technical superiority in isolation leads to "problems with adoption and retention." Founders should map every system, process, and stakeholder their solution touches, designing for workflow integration rather than isolated problem-solving. Sequence customer sophistication as you scale beyond innovators: David's initial customers were "leading edge folks" from his technology network who understood AI potential. As PredictAP matured, sales cycles became "much longer" with more conservative firms requiring higher proof thresholds. He learned that "initial sales have to be very successful and you have to have customers that advocate for you" because mainstream buyers need extensive social proof. Founders should recognize that early adopter ICP differs fundamentally from mainstream buyers—what closes innovators (technology potential) differs from what closes pragmatists (proven ROI and references), requiring distinct positioning and sales approaches for each segment. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Jason Eubanks on Building Oracel: Raising $30M in 28 Hours to Disrupt the $236B Go-To-Market Tooling Market with AI-Native Sales AutomationJason Eubanks, CEO and Co-founder of Oracel, discusses how the company raised $30 million in just 28 hours—oversubscribed at $40 million—by solving a critical problem in the go-to-market industry. With a $236 billion market opportunity and only a "desert of innovation" since the late 1990s, Aurasell is building an AI-native platform to intelligently automate sales workflows and consolidate the 12-15 fragmented tools that plague modern sales teams. Jason shares how his experience scaling revenue from $1M to $100M+ across five startups—including Twilio (IPO), Meraki (acquired by Cisco for $1.2B), and Harness—directly informed the founding vision of AurasellEpisode Timestamps- 00:00 - Introduction and Jason Eubanks joins the podcast- 00:26 - Why Oracel raised $30M in 28 hours despite initial $40M oversubscription- 01:24 - The "desert of innovation" in go-to-market tooling since the late 90s- 01:42 - History of CRM evolution from mainframe to cloud to niche products- 03:12 - Founding vision: One intelligent GTM sales platform to replace them all- 03:39 - How pain as a CRO across five startups led to Oracel's creation- 05:58 - The X-Ray productivity assessment revealing tool sprawl inefficiencies- 07:59 - Sellers spending 28% of time selling and 70% on manual tasks- 09:03 - First principles AI-native approach with whiteboards in the kitchen- 09:29 - Five key personas: SDR, seller, IC manager, executive, ops team- 12:18 - AI-native architecture: multimodal interface, lakehouse, and 10,000 agents- 14:39 - Unified data model importance for contextualized AI automation- 15:45 - Current hat wearing: product focus and 50% building go-to-market engine- 18:43 - Platform features and customer experience design philosophy- 19:05 - Three wow moments per persona as success metric- 20:39 - Onboarding experience: automatic territory building and customer choice- 21:40 - 10,000 agents discovering ICP, personas, and competitors automatically- 24:07 - Automated account research and value hypothesis creation- 25:34 - Outbound prospecting content generation with propensity scoring- 26:32 - Outbound sequencer integration and email platform plugins- 27:00 - AI voice dialer coming in three weeks with closed-loop automation- 28:47 - What's missing: deep marketing and customer success automation- 30:49 - Ideal customer profiles: startups and enterprises with tool sprawl- 31:30 - Solution for heavily customized legacy systems coming in December- 34:24 - Dynamic change detection layer solving technical debt- 36:23 - Jason's career arc from BMC Software through Harness- 37:09 - Why: helping go-to-market operators solve problems he experienced- 39:55 - Meraki's disruptive cloud-managed network architecture- 41:51 - Three constants: great product builders, important problems, massive markets- 43:22 - Intrinsic motivation as foundation for hiring and culture- 45:31 - Hiring from first job onward to assess character and values- 51:24 - Understanding why someone wanted to work at 14 years old- 53:21 - Importance of formative years for work ethic and intelligence- 55:46 - AI adoption culture: using own product and building agents internally- 56:36 - All employees use AI daily across PMs, engineers, and operations- 59:25 - Ask AI features: analytics dashboards, data enrichment, natural language-

GreenLite delivers private construction plan review as an alternative to traditional city permitting processes. After spending six months testing both sides of the construction permitting transaction, the company identified owner-developers as their ICP and built a business model around Florida's privatization legislation—legislation that has now expanded to nine additional states including Texas, Tennessee, and California. In this episode of BUILDERS, we sat down with James Gallagher, CEO and Co-Founder of GreenLite, to explore how his fifth startup leveraged regulatory shifts, rejected workflow software in favor of outcomes, and scaled by targeting chief development officers at enterprise retailers struggling with permitting delays. Topics Discussed: How GreenLite discovered architects were heavy users but wrong customers due to two-part sales dynamics Why owner-developers became the ICP after six months of customer discovery across applicants and agencies The accidental discovery of private plan review through conversations with Fort Worth and Miami-Dade agencies GreenLite's platform combining regulatory permissions, licensed AEC professionals, and AI-augmented software How natural disasters and AEC talent shortages are accelerating privatization legislation nationwide Cold email strategies that converted enterprise retailers by surfacing acute pain points GTM Lessons For B2B Founders: Map two-sided markets to find where purchasing authority and pain intersect: GreenLite pitched a CTO at a major architecture firm who responded positively but said "I just need to talk to my client, my customer." This revealed architects required approval from owner-developers despite being the heaviest product users. James pivoted to owner-developers who "carry the land, carry the construction loans" and feel revenue delays most acutely. The lesson: usage intensity doesn't equal buyer authority. In complex ecosystems, systematically test which party controls budget and feels enough pain to sign contracts independently. Recognize when procurement cycles kill early-stage validation velocity: Cities explicitly told James their "crazy procurement cycles" made early partnership impractical despite genuine interest. State and local education and government sales require specialized expertise and extended timelines that prevent rapid iteration. James chose to prove the model with private sector customers first. For founders: government can be a lucrative eventual market, but unless you have sled sales expertise and 12+ month runway per deal, validate PMF elsewhere first. Capitalize on regulatory tailwinds before markets realize they exist: Only Florida permitted private plan review when GreenLite launched in July 2022. By late 2024, nine states passed enabling legislation driven by natural disaster reconstruction needs and talent shortages in city building departments. James positioned GreenLite to ride this wave rather than selling transformation to resistant agencies. Founders should monitor legislative and regulatory changes in their verticals—new compliance requirements or permissions can suddenly open massive TAMs with minimal incumbent competition. Enterprise cold email converts when you surface non-obvious acute pain: GreenLite cold emailed chief development officers at major retail chains and quick-service restaurants with "Are you missing your openings due to permitting?" The response rate validated that permitting delays—not site selection or construction costs—were a critical path blocker for store rollout velocity. James targeted CDOs rather than real estate or design teams because they own the full development timeline. For enterprise sales: identify the executive accountable for the metric your solution impacts, then lead with how you move that specific number. Validate outcome-based models before building sophisticated workflow tools: GreenLite's customers rejected "another workflow product or system of record" that required API integrations with their ERPs and construction management systems. Instead, they wanted "faster, more predictable, more transparent permits." James built a viable business delivering finished permits through licensed professionals augmented by software, with the AI sophistication coming later. The business was "super viable well before the product was" by early 2023. For founders in industries resistant to software adoption: test whether buyers want tools to operate or outcomes to purchase—outcome-based pricing can achieve PMF faster and command premium willingness-to-pay. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.  Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

In this episode, I go over one AI news item I can't stop thinking about, one trend you can build a business around, two tools I'm using, one startup idea you should steal, and one framework to end on. I start with a leak suggesting Anthropic is productizing “agent mode” for Claude with structured task buckets and a progress/context UI. Then I use Hyrox as an example of how I validate trends quickly with search data (and what “low competition + cheap CPC + explosive growth” signals). I wrap by pitching a hotel guest-communication concierge and the “thousand people framework” for getting to clarity on your ICP and what they'll reliably pay for. Timestamps 00:00 – Intro 00:32 – AI New Item: Anthropic leak: Agent Task Mode for Claude 04:47 – Trend: Hyrox 08:59 – AI App: Krea and Notebook LLM 12:23 – Startup idea: Digital Hotel Concierge 15:59 – Framework: The “1000 People” For founders doing $50k+ MRR+: https://startup-ideas-pod.link/offline-mode Key Points Agent workflows get “productized” when the UI guides the task (not just a blank prompt box). Trend validation can be fast: look for explosive growth + low competition + cheap CPC, then ideate apps around it. NotebookLM's slide generation is an underrated workflow for turning sources into clean decks. The “Guest Guide” concept is a simple AI/QR wedge: answer repetitive hotel questions and monetize per property. The thousand-people exercise forces clarity: who exactly buys, what they pay yearly, and how you reach them. Section Summaries The Claude Agent Mode Leak I break down a leak claiming Anthropic is preparing a more structured “agent mode” for Claude, organized into buckets like research, analyze, write, and build plus choices like depth, format, and outputs. The big shift is moving from “open chat” to “delegating distinct tasks” with visibility into progress and context. Productized Prompts = Better Output I explain why a blank text box can be daunting, and why UI that scaffolds intent (validate/compare/forecast, quick vs. thorough, doc vs. slides vs. spreadsheet) can make results meaningfully better. To me, it points at a future where you “check in” on agents like teammates. Trend Hunting I use Hyrox, an indoor fitness competition that's “like the new CrossFit,” as a real example of how I sanity-check whether something is becoming a business opportunity. The workflow is simple: I see it in culture, then I go straight to Idea Browser to pull search/CPC/competition signals. Two Tools I'm Testing I call out Krea as a creative AI subscription bundling multiple models, and then I highlight NotebookLM's slide/infographic feature as the underrated part—turning a source (including transcripts) into clean, well-designed slides with strong hierarchy. Steal This: Guest Guide I pitch a hotel digital concierge that handles common guest questions via QR-code guides, priced per property with affiliate upside, and I reference Sadie as an adjacent AI hospitality product (more on calls/reservations). Then I close with the “thousand people framework”: define the real ICP, map what they'll pay yearly, and figure out distribution—because clarity is the driver. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

The holidays can be magical… and messy. In this episode, registered psychologists and co-founders of the Institute of Child Psychology, Tammy Schamuhn and Tania Johnson, sit down to talk honestly about the emotional roller coaster many parents face this time of year.From financial pressure and overstimulation to family dynamics, grief, and the weight of traditions, Tammy and Tania unpack why this season can feel so overwhelming and what parents can do to stay grounded. You'll learn practical tools for managing stress, setting realistic expectations, supporting sensitive kids, and creating moments of connection that matter more than the “perfect” holiday.Whether you love Christmas, dread it, or feel a bit of both, this compassionate conversation will help you breathe a little easier, let go of guilt, and find your calm in the midst of the chaos.Stay Tuned for ICP's exciting new news!Wanting more from ICP? Get 50 % off our annual membership with the coupon code: PODCAST5090+ courses on parenting and children's mental healthPrivate community where you can feel supportedWorkbooks, parenting scripts, and printablesMember-only Webinars Course Certificates for Continuing EducationAccess to our Certification ProgramLive Q & A Sessions for Parents & ProfesssionalsBi-Annual Parenting & Mental Health ConferencesDownloadable Social Media CollectionRobust Resource LibraryClick here for more Hosted on Acast. See acast.com/privacy for more information.

WWE having John Cena tap out to Gunther was the right decision:John Cena taps out to Gunther in retirement matchWWE Faces Nuclear Fan BacklashWorking with ICP and JCWBurning Question With Vince RussoThis week, we welcome Vince Russo back to the show to discuss the controversial ending to WWE Saturday Night's Main Event and John Cena's career. The character who has preached to “Never Give Up” gave up in his final match, leaving wrestling fans outraged at WWE and causing boos and hostile chants toward Triple H Paul Levesque.We discuss a variety of topics, including John Cena's tap out to Gunther and how this affects his legacy, WWE's damage control, if they can recover from this decision and much more.We'll also talk to Vince about his role in creative and on-screen with JCW, working with ICP and the vision for the future of Juggalo Championship Wrestling.We discuss and debate all of this, plus some random wrestling topics and questions for one of the most brilliant and controversial figures in the history of professional wrestling on a fiery episode of the Lazy Booking Podcast!S/P: Specialized Physical Therapy | specializedphysicaltherapy.com

Bonus Round! Peter and Chris are bringing you a watch-along (listen-along?) for Twiztid's mockumentary, "Born Twiztid." You can sit and just listen to the boys talk about the show and everything 2000 juggalo related, you can try to watch it on YouTube, or you can watch along with your own VHS or DVD. OR you can wait for the youtube version of this pod to be uploaded and literally watch us watching it.    The LinkTree can be found at https://linktr.ee/juggalorwd. Otherwise here are all of our links -  Twitter/X: @JuggaloRWD  IG: @JuggaloRWD  Facebook: @JuggaloRWD  TikTok: @JuggaloRWD  Threads: @JuggaloRWD  BlueSky: @JuggaloRWD  The website is www.JuggaloRewind.com.  Join us on the ICPWWE Discord and talk to other listeners and podcast hosts about Psychopathic Records, ICP, Twiztid and random juggalo nonsense.  Email us at juggalorwd@gmail.com or call/text us at (810) 666-1570.        Join our Patreon! For only FOUR DOLLARS a month, you can join Kilnore's Army and get at least two bonus episodes per month, videos, chats and more! Even without paying, you can join the Patreon community! Become an official member of the Phat or Wack Pack today! -- Juggalo Rewind Patreon.      #ForTheJuggaloCulture

Josh Ho is the Founder and CEO of Referral Rock, a bootstrapped referral marketing platform serving SMBs that rely on multi-step, relationship-driven sales. Starting in 2015 as a solo developer consulting on the side, Josh built the first version himself, validated demand quickly, and landed early customers by doing demos and hands-on support.  Referral Rock has grown to roughly 500 customers, 20 team members, and about $3M in annual revenue. The company scaled through strong inbound SEO, founder-led sales, and a high-touch onboarding model for B2B businesses that value referrals. Over the years, the product expanded too broadly, creating UX and complexity challenges that later required a deliberate refocusing on core use cases.  Today, Referral Rock is profitable, founder-owned, and steady at its current revenue plateau as Josh rethinks pricing, packaging, product simplicity, and ICP focus. He shares practical lessons on avoiding over-complexity, hiring from what you've already figured out, returning to first principles, and treating plateaus as puzzles to solve rather than signs of failure. Key Takeaways Charge Early, Not Late – His first startup delayed monetization; Referral Rock asked for payment within days of launching an MVP. Pricing For Segments– Good-better-best failed for SMBs with wildly different referral economics; switching to two specific lanes solved misalignment. Do the Job First – Hiring worked only after Josh personally figured out support, sales, or marketing enough to define the role clearly. Plateaus Aren't Failure – Post-COVID shifts and SEO changes slowed growth, but Josh treats plateaus as system puzzles, not existential threats. Profit Equals Freedom – With no investors and steady profitability, he optimizes for enjoyable work, long-term optionality, and building at his own pace. Quote from Josh Ho, Founder and CEO of Referral Rock "For me, a plateau or a pivot is a puzzle to be solved. Any time you try to build something, you hope to just keep hitting accelerators and different serendipitously find those things. But I've learned through my life, the most part, there are things that work only for a certain duration, right.  "For me, it comes back to how I think about the business and. my innate goals for the business which, are different from most founders. When I'm talking to another founder is, they'll ask me what my exit strategy is. And my answer is usually, Well, I don't really have one. That's not how I think about the business. It's a very clear. "I enjoy my work and that's my North Star. Am I having fun? Do I enjoy this work? And I also continuously reinvent myself and my role to fit those changes.. There might be a job I had to do that I don't enjoy, but then I'll do that until it's no longer like the limiting step and then hire someone to backfill for myself." Links Josh Ho on LinkedIn Referra lRock on LinkedIn Referral Rock website Podcast Sponsor – Designli This podcast is sponsored by Designli, a digital product studio that helps entrepreneurs and startups turn their software ideas into reality. From strategy and design to full-scale development, Designli guides you through every step of building custom web and mobile apps. Learn more at designli.co/practical. The Practical Founders Podcast Tune into the Practical Founders Podcast for weekly in-depth interviews with founders who have built valuable software companies without big funding. Subscribe to the Practical Founders Podcast using your favorite podcast app or view on our YouTube channel. Get the weekly Practical Founders newsletter and podcast updates at practicalfounders.com. Practical Founders CEO Peer Groups Be part of a committed and confidential group of practical founders creating valuable software companies without big VC funding.  A Practical Founders Peer Group is a committed and confidential group of founders/CEOs who want to help you succeed on your terms. Each Practical Founders Peer Group is personally curated and moderated by Greg Head.

How will SaaS Companies scale in 2026? The next era of SaaS growth won't be won by adding more reps, more tools, or more noise. In this episode, go-to-market operator Koen Stam (Personio) breaks down why 2026 will mark a decisive shift from people-heavy scaling to process-first, data-driven, efficiency-led growth—and what founders must do now to stay ahead.Koen oversees international revenue operations across Benelux, DACH, the Nordics, Spain, and beyond, and he brings a rare operator's lens to the future of GTM. He unpacks how founder-led, sales-led, and hybrid motions will evolve; why RevOps is about to become one of the most strategic functions in SaaS; and why fixing the data layer is the non-negotiable prerequisite to making AI actually work.You'll learn why the biggest upside in 2026 will come from retention, expansion, and word of mouth, how to design motions that scale with simplicity and discipline, and what it really takes to build from 0 to 10K MRR and to 10M ARR with one product, one audience, and one crystal-clear process.A must-listen for founders, operators, and GTM leaders building for the next wave of SaaS.Key Timecodes(0:00) - Intro: B2B SaaS go-to-market 2026, RevOps, AI, retention, expansion(1:13) - Guest intro: Koen Stam, Personio, international RevOps, HR tech(2:04) - 2026 GTM strategy: process-first, data-driven, efficiency-led growth(2:47) - GTM motions: founder-led vs sales-led vs hybrid, authenticity, efficiency(4:02) - Efficiency in SaaS: bow tie model, customer journey mapping, root causes(5:35) - RevOps priority: data layer, metrics, RevOps to CRO(6:38) - AI in GTM: fix data foundations, process over people(7:26) - Retention & expansion: word-of-mouth, NRR, customer-led growth(9:20) - Sponsor: Reditus affiliate and referral platform for B2B SaaS(10:14) - Word-of-mouth playbook: product value, customer success, community events(12:06) - Build GTM from scratch: founder-led content, AI amplification, simplify(13:59) - Referrals & partners: partner ecosystem, trust, incentives, win-win(15:26) - Zero to 10K MRR: one offer, one ICP, focus, execution(16:54) - Scale to 10M ARR: one product, one market, process-first, data model(17:37) - Connect with Koen: LinkedIn, Substack, AI learnings(17:55) - Audience building: LinkedIn vs Substack, creator-led growth(18:27) - Outro: subscribe, sponsor, Reditus, Grow Your B2B SaaS podcast

In today's world, teens are facing an unprecedented rise in chronic illness, anxiety, and disconnection. But a new generation of changemakers is fighting back: with knowledge, heart, and holistic wellness. In this powerful episode, Tania sits down with the inspiring young authors of Teen Health Revolution: Unlocking Lifestyle Secrets for the Mind, Body, and Soul ,all under 18, to explore how small, daily choices can transform mental and physical health.Together they discuss the intersection of nutrition, gut health, sleep, stress, and screen time, and how lifestyle medicine can empower teens to take charge of their wellbeing. From tech balance to mindfulness, gratitude to nature connection, this conversation highlights the growing movement of youth leading the charge toward a healthier, more conscious world.These teen authors remind us that the revolution isn't coming : it's already here, and it's being led by the next generation.To purchase" The Teen Health Revolution, unlocking Lifestyle Secrets for the Mind, Body, and Soul", click hereWanting more from ICP? Get 50 % off our annual membership with the coupon code: PODCAST5090+ courses on parenting and children's mental healthPrivate community where you can feel supportedWorkbooks, parenting scripts, and printablesMember-only Webinars Course Certificates for Continuing EducationAccess to our Certification ProgramLive Q & A Sessions for Parents & ProfesssionalsBi-Annual Parenting & Mental Health ConferencesDownloadable Social Media CollectionRobust Resource LibraryClick here for more Hosted on Acast. See acast.com/privacy for more information.

December might feel slow for B2B, but Jay Schwedelson and Daniel Murray are using it to double down on what actually worked in their email programs this year. They trade five real world email lessons headed into 2026 - from reply worthy CTAs and smarter list metrics to domain reports and AI powered repurposing - while calling out the bad hot takes about what does and does not matter in your metrics. You get practical tweaks you can ship immediately, plus a little peek into their real lives as humans who occasionally leave their inboxes.ㅤFollow Daniel on LinkedIn and check out The Marketing Millennials podcast for sharp, no-fluff marketing insights. Subscribe to Ari Murray's newsletter at gotomillions.co for sharp, actionable marketing insights.ㅤBest Moments:(03:04) Daniel shares why every email now includes a simple, low lift reply question so he can spark real conversations and keep deliverability strong.(04:07) Jay explains why the idea of a single "best send time" is garbage and why he tracks weekly unique humans engaging instead.(05:11) Daniel breaks down his "verified subscriber" metrics to see how true ICP subscribers are opening, clicking, and shaping future email content.(06:07) Jay walks through running a domain frequency report to spot deliverability bottlenecks and hidden account opportunities inside your list.(07:21) Daniel shows how to repurpose talks, webinars, and podcasts into tactical emails using AI so you can add sends without adding burnout.(08:23) Jay and Daniel rant about why open rates and preheaders still matter, how rage bait content confuses marketers, and why cleaning your list is still non negotiable.ㅤCheck out Jay's YOUTUBE Channel: https://www.youtube.com/@schwedelsonCheck out Jay's TIKTOK: https://www.tiktok.com/@schwedelsonCheck Out Jay's INSTAGRAM: https://www.instagram.com/jayschwedelson/

Watch the YouTube version of this episode HEREAre you a business owner looking for tips on improving email marketing? In this episode of the Maximum Lawyer Podcast, Tyson interviews email marketing expert Jay Schwedelson, founder of SubjectLine.com, to discuss data-driven strategies for boosting email engagement. Jay shares actionable tips on crafting attention-grabbing subject lines, debunks common myths about spam filters, and highlights the importance of growing a targeted email database. Jay provides some tips for creating interesting subject lines for emails. One thing to consider is using white space. This includes having a subject line and then a pre header. A pre header is a second subject line and is usually in grey text. With this tactic, many people are intrigued because there is so much open space that they wonder what the email is about. For Jay, this saw open rates increase by 25%.Jay and Tyson chat about the key metrics for email marketing. One metric is to understand your target audience through developing an Ideal Customer Profile (ICP). This is creating a description for the ideal customer who will benefit from your business. Identifying your ICP will help a business tailor their marketing. Another metric is focusing on the database and how to grow it. This can include hiring the right people to work on improving your database and knowing what to add to it and remove from it.Listen to learn more!4:52 Why Email Still Dominates in the Age of AI6:27 The Value of Unsubscribes10:29 Emotion vs. Logic in Subject Lines & CTAs12:30 Vanity Metrics: The Truth About Open Rates18:43 The Power of White Space in the Inbox23:12 The Most Important Metric for 2026: Database Growth24:30 Email Frequency & Relevancy for Lawyers 27:18 The Future of Email: ChatGPT Atlas Browser29:21 Closing Plugs & Contact InformationTune in to today's episode and checkout the full show notes here. Connect with Jay:SubjectLine Website GuruConference WebsiteInstagramLinkedin