Podcasts about adtech

Superpowers for Good should not be considered investment advice. Seek counsel before making investment decisions. When you purchase an item, launch a campaign or create an investment account after clicking a link here, we may earn a fee. Engage to support our work.Watch the show on television by downloading the e360tv channel app to your Roku, LG or AmazonFireTV. You can also see it on YouTube.Devin: What is your superpower?Gregory: I have the ability to recognize and reframe patterns.Startup failure rates have hovered around 90% for over 30 years. Gregory Shepard, Founder and CEO of Startup Science, decided to tackle this persistent challenge with a comprehensive, science-backed approach. His goal is nothing short of transformative: to reduce failure rates and create a better ecosystem for entrepreneurs.Gregory's research revealed that 47.1% of startups fail within the first 18 months, with the remaining failures often linked to poor decisions made during that critical period. “There's no industry I can think of that would be okay with 90% of the people trying to succeed failing,” he explained. “I decided to do something about it.”Startup Science offers a centralized platform where entrepreneurs, investors, mentors, and support organizations can connect and collaborate. Gregory has worked to eliminate fragmentation in the startup ecosystem by providing tools, resources, and education—all free for founders. This mission is fueled by his belief that entrepreneurship drives innovation and can create opportunities for people from all backgrounds.Gregory's commitment to democratizing entrepreneurship extends to the way he's raising funds for Startup Science. He's launched a regulated crowdfunding campaign on Wefunder, allowing anyone—not just accredited investors—to support his mission. “If somebody invests in Startup Science, you're investing into all of the startups that we're helping, which is 100,000 of them at the moment,” he said.Gregory's passion is deeply personal. Growing up in poverty, he understands the barriers many entrepreneurs face. That empathy drives his vision to create an accessible, equitable platform that empowers founders to succeed while transforming the global economy.By leveraging his scientific approach to analyzing startup success and failure, Gregory is helping entrepreneurs avoid predictable pitfalls and build sustainable businesses. His efforts could fundamentally reshape the entrepreneurial landscape, enabling innovation to thrive.To learn more or support this initiative, visit Startup Science's crowdfunding campaign. This is an opportunity to back a proven entrepreneur who's committed to doing good for the world.tl;dr:Gregory Shepard shares his mission to reduce startup failure rates with his platform, Startup Science.Startup Science connects fragmented startup ecosystem elements, offering free tools and resources for founders.Gregory discusses his scientific research on startup success and his passion for democratizing entrepreneurship.He highlights his Wefunder campaign, inviting anyone to invest in Startup Science and support entrepreneurs.Gregory explains his superpower, pattern recognition, and how it drives his success in building ecosystems.How to Develop Pattern Recognition As a SuperpowerGregory's autistic diagnosis has sharpened his ability to identify and reframe patterns; a skill he calls pattern recognition. “I have the ability to recognize and reframe patterns…startup science is a result of this,” he explained. Gregory sees connections others might overlook, enabling him to create solutions that integrate fragmented systems into cohesive ecosystems. He describes it as understanding how seemingly separate components interact, much like a solar system where the founder is the sun and other elements orbit around them.Gregory's superpower was pivotal in building and selling Affiliate Traction to eBay Enterprise Marketing Solutions. He noticed that affiliate marketing—now a cornerstone of influencer marketing—was fragmented, with disconnected tools and processes. Gregory envisioned a unified system and developed software that brought these elements together. By connecting the dots, he transformed the industry and created a successful company, later replicating this approach with other ventures.Tips for Developing Pattern Recognition:Identify the structure of a system or process by analyzing its components and relationships.Observe how elements interact within a system and look for inefficiencies or gaps.Reimagine connected systems as an ecosystem where all parts work collaboratively.Practice applying this framework in various contexts, from business to social environments.By following Gregory's example and advice, you can make pattern recognition a skill. With practice and effort, you could make it a superpower that enables you to do more good in the world.Remember, however, that research into success suggests that building on your own superpowers is more important than creating new ones or overcoming weaknesses. You do you!Register Now!Guest ProfileGregory Shepard (he/him):Founder and CEO, Startup ScienceAbout Startup Science: Startup Science is the unified platform for the startup ecosystem, built to support founders and the organizations that help them succeed.We serve entrepreneurs, accelerators, universities, government programs, mentors, investors, and service providers in one connected system, so everyone operates with shared structure, shared data, and clearer outcomes.Entrepreneur Support Organizations work with Startup Science to provide modern program management infrastructure to run their cohorts, deliver consistent curriculum, track founder progress, and report measurable impact, without reinventing the process every cycle.Founders gain access to trusted education, tools, and ecosystem support in one place as they work with their advisors, software and service providers, and other key stakeholders to build their companies.Our mission is to bring clarity, coordination, and effectiveness to entrepreneurship at scale. Website: startupscience.ioCompany Facebook Page: facebook.com/bossstartupscienceInstagram Handle: @startupscience.io Other URL: wefunder.com/startupscienceBiographical Information: Gregory Shepard is a visionary entrepreneur and business leader who has built and sold twelve companies across BioTech, TransitTech, AdTech, and MarTech. In 2016, he sold two of his businesses in a landmark $925 million cross-brand deal, earning four private equity awards.In 2024, he published The Startup Lifecycle with Penguin Random House, receiving acclaim from global leaders and institutions. He has contributed over 100 articles to major publications, hosted Startup Science on Forbes Radio, and co-founded the Fulbright Entrepreneurship Initiative.A sought-after speaker, Shepard has delivered keynotes at TEDx, Ivy League universities, and top conferences worldwide. His personal journey—from overcoming dyslexia, neurodivergence, and poverty to becoming a serial entrepreneur—adds depth to his inspiring message.Committed to “altruistic capitalism,” he integrates social and environmental responsibility into business. His journey proves that with passion, resilience, and a willingness to challenge convention, extraordinary success is within reach.LinkedIn Profile: linkedin.com/in/gregshepardInstagram Handle: @gregshepard_ Personal Twitter Handle: @GregShepard_The Super Crowd, Inc., a public benefit corporation, is proud to have been named a finalist in the media category of the impact-focused, global Bold Awards.Support Our SponsorsOur generous sponsors make our work possible, serving impact investors, social entrepreneurs, community builders and diverse founders. Today's advertisers include rHealth, and SuperCrowd26 featuring PurposeBuilt100™️. Learn more about advertising with us here.Max-Impact Members(We're grateful for every one of these community champions who make this work possible.)Brian Christie, Brainsy | Cameron Neil, Lend For Good | Carol Fineagan, Independent Consultant | Hiten Sonpal, RISE Robotics | John Berlet, CORE Tax Deeds, LLC. | Justin Starbird, The Aebli Group | Lory Moore, Lory Moore Law | Mark Grimes, Networked Enterprise Development | Matthew Mead, Hempitecture | Michael Pratt, Qnetic | Mike Green, Envirosult | Nick Degnan, Unlimit Ventures | Dr. Nicole Paulk, Siren Biotechnology | Paul Lovejoy, Stakeholder Enterprise | Pearl Wright, Global Changemaker | Scott Thorpe, Philanthropist | Sharon Samjitsingh, Health Care Originals | Add Your Name HereUpcoming SuperCrowd Event CalendarIf a location is not noted, the events below are virtual.SuperCrowd Impact Member Networking Session: Impact (and, of course, Max-Impact) Members of the SuperCrowd are invited to a private networking session on March 17th at 1:30 PM ET/10:30 AM PT. 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How AI Agents are Disrupting the AdTech Landscape Semantic content classification driven by AI agents is currently transforming digital advertising and B2B content monetization as we know it. When leveraged the right way, marketers can classify B2B content into actionable signals and find the most relevant content across the open web. This shift toward AI-native advertising allows for a more sophisticated approach to targeting that moves beyond traditional cookies. So, how can brands strategically implement these tools to generate impactful results, and what does the rise of autonomous agents mean for the future of your digital marketing strategy? That's why we're talking to Brendan Norman (Co-Founder and CEO, Classify), who shares his expertise and experience on how AI agents are disrupting the AdTech landscape. During our conversation, Brendan discussed the evolution of digital advertising and the critical integration of AI and cloud-based tools to automate manual tasks and improve campaign optimization. He also elaborated on the massive shift from human-centric to agent-centric traffic, predicting that agent traffic will surpass human traffic within 18-24 months. Brendan also explained why he believes that the future belongs to marketers who can blend audience and contextual signals to monetize human and agent attention. He highlighted how new AI-native tools are democratizing advanced ad tech, significantly reducing costs and improving efficiency for large and small advertisers. https://youtu.be/yVobWZTmwco Topics discussed in episode: [03:01] Beyond Keywords: How semantic understanding allows advertisers to target the nuance of a page (like “snow removal” vs. just “winter”) rather than broad categories.  [06:46] Optimizing for AI Agents: Why “Generative Engine Optimization” (GEO) complements traditional SEO, and how brands must prepare for agents retrieving information instead of humans.  [12:34] The Shift in Web Traffic: The prediction that agent traffic will surpass human traffic on the web in the next 6 to 24 months.  [15:50] The Power of Context + Audience: Why the best advertising strategy combines who the user is (audience) with what they are consuming in the moment (context).  [20:47] Democratizing Ad Tech: How AI agents and new frameworks will allow smaller brands with smaller budgets to access sophisticated programmatic advertising tools.  [26:54] High-Fidelity Curation at Scale: How AI reduces the cost of processing massive data sets, making real-time optimization and curation accessible and sustainable.  [33:44] The “Middleman Tax”: A look at the inefficiency of current ad tech where only 35 cents of every dollar reaches the publisher, and how AI can fix this.  Companies and links mentioned: Brendan Norman on LinkedIn  Classify  Bluefish AI Agentic Advertising Org  IAB Tech Lab Transcript Brendan Norman – Classify, Christian Klepp Brendan Norman – Classify  00:00 I think overall, jobs will change. I think that people will have to spend a lot less time doing a lot of the manual, rote tasks that they’re doing today. You know, kind of in parallel with what we’re seeing in terms of vibe coding and people’s ability to build product really quickly, design new web pages really quickly, like get ship things out quickly. I think a lot of the infrastructure layer tools, or just call them like, like, chatGPT style, cloud based tools, LLMs (Large Language Models), we’ll see a lot deeper integration into existing advertising product. And what that does is it helps democratize the whole ecosystem. So I think it frees up people’s time, you know, to not have to do a lot of the basic administrative, you know, reporting, manual, campaign, optimization type stuff, and it will help service a lot better insights. Ultimately, I think the industry grows, and I think it scales even faster and cautiously, optimistically. I think that we, we will have back to building on the curation piece, and, you know, the advertiser, outcomes piece, publisher monetization piece, user experience piece, I think that all those things will increase. Christian Klepp  01:07 When done the right way and leveraging the right approach and technology, you can classify B2B content into actionable insights and find the most similar content across the open web. So how can this be done the right way, and what role do B2B Marketers play? Welcome to this episode of the B2B Marketers in the Mission podcast, and I’m your host, Christian Klepp. Today, I’ll be talking to Brendan Norman about this. He’s the Co-Founder and CEO of Classify, a software that organizes the world’s digital content, making a privacy, safe, searchable and monetizable. Tune in to find out more about what this B2B Marketers Mission is, and off we go. I’m gonna say Mr. Brendan Norman, welcome to the show. Brendan Norman – Classify  01:49 Thanks for having me, Christian. Christian Klepp  01:51 Great to have you on. I’m really looking for this conversation because, man, like you know, in our previous discussion, besides talking about snow and bad weather, we did have, we did have we did have some interesting discussions around, I’m going to say, AI machine learning, and how that all has some kind of like strong correlation to content. So let’s just dive in. I’m going to start with the first question here. So you’re on a mission to help publishers increase monetization potential and advertisers target the most relevant, curated inventory. So for this conversation, I’m going to focus on the following topic, and we can unpack it from there. So how B2B brands can optimize their own content. And you know, let’s be honest. Brendan, who the heck doesn’t want to do that, right? So your company classify, if I remember correctly. It’s a software that organizes the world’s digital content, making it privacy, safe, searchable and monetizable. So here’s the two-pronged question I’m happy to repeat. So first one is, walk us through how your software does that and B, how does this approach benefit? B2B companies looking to optimize their own content? Brendan Norman – Classify  03:01 Historically, how a lot of content gets categorized, classified, organized, it’s fairly unsophisticated, and it’s been fairly unsophisticated for a long time, just because, you know, the technology is difficult to do, and we haven’t really had the foundational ability to understand it in a way like a human understands it until fairly recently, and do it at Deep scale. So good analogy for this question is like, if you were having a we were having a conversation just a minute ago about the snow, you know, happening in Canada, and how cold it was and how much snow you got, and, you know, also around the fact that, like you had to shovel your driveway, you have a snow blower you were putting the snow. There’s a lot of different nuance to that conversation. I as a human, and most humans, are able to interpret all of that nuance and kind of positively negatively, understand that there’s a snow blower involved in that snow blower was used to remove the snow historically that conversation, you know, if it was just a blob of text, or if it were a web page, the the basic technology to understand it would have reduced it down to a category like snow or maybe winter, and that’s it, and that’s all the targeting that would have happened to that page. So our conversation, you know, gets transcribed. It gets put on a blog, or it gets put on a news site. The only thing that a machine could understand about it was, you know, snow and then potentially a keyword, tagged snow blower. And that’s all so we took a very different one. One of the reasons why you know that that makes it challenging for advertisers and also for publishers. If you’re the publisher of that content, you’re not able to help advertisers really understand the nuance to like, what are we talking about here? Because maybe an advertiser wants to sell snow blowers for that specific site. Maybe they’re looking to sell ski and since we were talking about removing snow from a driveway, probably not the best application to go sell skis on. What is helpful is to deeply understand all the nuance to like we were talking about a driveway. We were talking about removing snow from that driveway. So we invented, you know, a much better, more sophisticated way to scrape content, classify it according to all of the different, you know, nuances semantic understanding much more like a human would, and then embed all of those different, you know, semantic understandings into, you know, this, this, this file, and then we organize that in a way that makes it searchable and kind of understands all the relationships very quickly. And what that does is it helps advertisers, like if you know, I’m Honda selling snow blowers, which they make, arguably the best snow blower in the market, if they’re looking to reach people that are talking about snow removal from the driveway, they can very quickly see the list of all the different URLs across the internet, and they can build, you know, a deal ID, or they can build a targeting, contextual targeting segment to specifically pinpoint those very specific web pages. And that’s kind of how the technology works, and then also, also why it’s relevant to advertisers. Christian Klepp  06:21 Thanks so much for sharing that Brendan that definitely helps us give, you know, some perspective into, like, what your software does. And you know, just, I’m asking you this from, from somebody who probably has learned to write one or two lines of code, and that’s as far as my dev skills go. But like, how, how is your software different from like GEO (Generative Engine Optimization), or is there some kind of overlap? Brendan Norman – Classify  06:46 It’s fairly complementary. I mean, the problem that GEO, you know, is trying to solve, and we’ve got good friends, advisors, you know, like at Blue Fish AI and like, a really cool company, Andre, I worked with him at live rail. He was the co-founder back then, before we got acquired by Facebook, you know. And I think that the problem that they’re trying to solve is going back to that it was just stay on Honda snowblowers. They’re trying to help Honda understand how they’re represented inside of, inside of an LLM or inside of a chat bot. And what they also do is they help these companies restructure their pages for, you know, better representation inside of the other end of like a chatGPT or a cloud answer. So it is kind of SEO (Search Engine Optimization), but for the generative world where we sit on is kind of on a different side of that. It’s very complimentary, though, and we’re deeply understanding content at scale, and that’s helping, you know, the advertiser understand where to position their ad. We’re also just, you know, very quickly, moving into this new space of, traditionally, advertising technology is focused on a human going to a web page, reading that content, reading the article, watching a video, you know, whatever that content looks like, and then helping the right advertisers show up in a contextually relevant way, so that the human will click on that ad, and they’ll go to another web page, they’ll buy the thing, whatever somebody wants to sell. A very recent development, so back up a year or so, you know, chatGPT Claude when they’re out and their agents and their bots are scraping like going out to the web and they’re retrieving information. They’re doing it to train their models to make their models better at answering questions. But now, you know, fast forward to today. They’re actually spending more time just going to content and then using that content to answer a specific question. So like, what’s the best recipe for, you know, creating soft shell craps. It’ll query a couple different web pages. It’ll find that, it’ll retrieve that information and bring it back that that is not being monetized today. And there’s a really interesting thing that we’re, you know, we’re starting to work on, which is monetizing the attention of an agent. And, you know, it’s, there’s a lot to figure out, but it’s kind of like the early days of a web browser, and like early days of search, when humans would go, you know, to a search engine, they would pop in some keywords, or, like, right out of search, and then, you know, Google would look at their entire index of the web, which was an algorithm that was weighted based on the number of different contextual relevancy plus the number of connections between web pages. So a web page that I might have published in geocities.com that nobody else would link to, Christian Klepp  09:50 wow, GeoCities like… Brendan Norman – Classify  09:54 Throwing way back remember the days of like writing like HTML and you know, creating that, you know, looping in some type of image because nobody else had linked to that, like personalized page that you built, it would never get shown up. And, you know, the top 20 or 30 or probably even couple 1000, or maybe even 100,000 search results. So their algorithm was about contextual relevancy, plus the number of links that other pages that had to your page. And then they started to include advertising in that. So early days of ads in search were literally anything, you know, it’s any advertiser that wanted to advertise to you, and they were just kind of choosing the highest price, trying to figure out, you know, how do we make money? And then it evolved into much more contextually relevant ads and sponsored post or sponsored advertisements. So now you know, if you’re searching for, like, what’s the best, you know, LLM or chat bot, you’re probably going to see a sponsored ad from, you know, Claude and Perplexity and chatGPT. Now you’re also going to see the search results underneath those. What’s changing about that kind of rapidly is how we’re influencing because humans are spending less time going there and doing that, and also within Google, Gemini is also surfacing some AI summary quickly and kind of superseding that, creating a chatGPT experience inside of Google, which is a brilliant way to do it also. But a lot of human interaction with the web now is humans going to chatGPT going to cloud asking questions and kind of treating it like we used to treat search back in the day. So influencing that, influencing that agent, going out to the web and sitting in between. That is another really interesting way that you can help an advertiser tell that story, not necessarily to a human but to the agent who’s retrieving the information and then bringing it back to the human, Christian Klepp  11:56 Right, right, right? And if we’re talking about content, it’s, you know, doing it in such a way that the content shows up in the AI search. Brendan Norman – Classify  12:04 Exactly. Christian Klepp  12:05 Because everybody, everybody’s got those now, right, like Google or Bing, or whatever, they’ve got the, they’ve got the AI summary at the at the very top of the page, right when you, when you, when you key in something. Brendan Norman – Classify  12:17 Yeah. Christian Klepp  12:18 Okay, fantastic. I’m gonna move us on to the next question about because we’re on the topic of optimizing content. So what are some of the key pitfalls that like B2B Marketers and their content teams? What should they be mindful of, and what should they be doing instead? Brendan Norman – Classify  12:34 That would be actually a better question for some of the GEO companies and something like more SEO focused companies about how to specifically optimize like your content. It’s a great question. I haven’t spent as much time, you know, deeply thinking through that. And the problem that we’re trying to solve is more of, you know, at scale, what is the semantic understanding of like, how somebody has built their page and or construct the video, as opposed to advising them on what they should do? You know, to think about it in a way that’s either more engaging. I would pivot that question more to the Geo and SEO focused folks, yeah, but super high level. I mean realizing that now web has two primary users of traffic. There’s humans who are bouncing or reading a, you know, web page or watching a video. But there’s also agents. And now the scale is like, changing very, very quickly. So you know, in the next year, two years, everybody will have lots of agents, kind of doing things on the back end for them. And, you know, we believe that, you know, in the next what, 6,12,18,24 months, Agent traffic will surpass human traffic on the web. So realizing that there’s these kind of two layers that one, humans see a web page and nice pretty pictures, and, you know, they see the layout great, but also having a web page that’s optimized in HTML, markdown, JSON, in ways that agents consume that, and then also knowing the different types of agents. So the cool thing that we’re building right now, in addition to this content graph of all the content, which is effectively like a understanding all the context between the content. It’s a mouthful, an agent graph that helps to inform this is an agent coming to my site. So in a lot of ways, it’s very similar to the folks who over the last decade or so, have built these identity graphs or audience graphs, and they know that like you, Christian versus me, Brendan, they’ve got some profiling on us. They understand our search history, our retargeting, our purchase intent, a lot of things that they’re appending to like you as a specific profile or an IP address. The rapid evolution of all this is mapping out the land. Landscape of different agents, where they come from, and then the personalization of these agents, and basically applying a lot of the similar logic that we’ve used for identity graphs and for audience graphs towards agents to help understand, how do you modify the content on the back end that humans never see, so that when they’re retrieving information, interacting with the content they’re doing it, you’re presenting in a really thoughtful way that drives like the answers and the results that you want to Christian Klepp  15:33 right, right? No, absolutely, absolutely. And in our previous conversation, you talked a little bit about contextual versus audience targeting. So and I mean, I’ve asked you this back then, but do you think one is better than the other, or do you think that they can work together? Brendan Norman – Classify  15:50 They should absolutely work together. Christian Klepp  15:52 And why? Brendan Norman – Classify  15:54 The reason, the reason is, you know, knowing who you are is a very important piece to the puzzle. Like, and if you even take a step back, like, what’s the whole point of advertising? Like, the whole point of advertising is storytelling, so that a brand or a service or a company can help market their brand service to the right person they’re trying to sell them something. The cool thing about the internet is we all now have this, you know, basic shared awareness that, like, there are certain things that are paid for on the internet, certain types of content that are gated. I might buy a subscription to The Economist, you know, I pay Claude a certain amount of money, a lot to be able to use it, you know, a lot and chatGPT, and then a lot of the web is free. Facebook is free, Tiktok is free, Instagram is free, LinkedIn is free. But the economics, it’s very expensive to run these businesses, so they have to, you know, support it through advertising. Ideally, you know, there’s a couple of ways to think about it, and there’s one camp of people on the internet who think that advertising is a necessary evil or a last resort, you know, we just cram it in there and make some money. There’s another camper of folks who actually think that it can be additive to the experience. And one of the reasons why, you know, it’s kind of a meme, and you always hear people talking about, you know, I didn’t need this thing, but I saw an ad for it on Instagram, and just had to buy it because it was really cool. The reason why that exists is that their advertising is phenomenal, and the targeting and optimization is phenomenal. And why it’s phenomenal on the back end is it knows a lot about you know me, who I am, what I’m interested in, based on my history, what I’ve been engaging with, where I’m spending time, you know, what I’m looking at, but it also knows specifically when I’m looking at that thing, you know, it might have a framework of saying, Brendan, really, you know, likes these types of skis, you know, he’s interested in, You know, a couple other, couple other interesting products, but the best time to serve each one of those products might be different, and it’s different depending on what I’m looking at, what I’m thinking about in that exact moment. And to kind of align these, these different graphs, graphs of intent, contextual understanding, and then audience, you know, the best time to serve me an ad for a new pair of skis is when I’m reading an article about skiing or something about the mountains. You know, it’s not necessarily when I’m reading about the Warriors, because I’m not really thinking about skiing when I’m reading about basketball. So to your point, the most effective ads are when you’re combining those two sets. It’s great for the advertiser, because I’m much more likely to click on it and go check out the skis. It’s also giving me a better experience, because it feels more native to the overall content that I’m reading. And that’s why it’s so important. It shouldn’t be an afterthought or a necessary evil or a last resort. It should be something that is intentionally thought about the entire design, because it can, it can actually be a cool experience. Christian Klepp  19:06 Absolutely, absolutely. I mean, you know, you’re talking to somebody that started his career in the in the advertising industry, so, yeah, I’ve heard that one before, and what you’ve been describing in the past couple of minutes sounds to me a little bit like time of day marketing too, right? Because you’re you know, are you the had a guest on, like, a year ago who talked about this? Right? Is, is Brendan, the same guy at eight in the morning and one one in the afternoon and seven in the evening? Right? There’s different different times of the day, different mindset, different motivation, different reason for being on your device or looking at, looking at specific type of content, right? But it is interesting, right? And it’s interesting and sometimes a little bit scary, how, um, how quickly the algorithm picks, picks this stuff up, right? Like, for example, last year, I was researching a lot on Japan, because we went there, right? Family trip and whatnot. And. And that’s what I kept seeing on Instagram, right? Like, because I was looking up specific temples and whatnot and and today I got another push. Like, would you like to invest in a temple that’s an on island in the Sea of Japan, right? Brendan Norman – Classify  20:12 Like, sorry, did you invest? Christian Klepp  20:17 No, I did not. But it was just, it was just funny that I got that ad right, like, it’s, like, Okay, interesting, but like, it’s so like it not, was not on my radar at all, right, Brendan Norman – Classify  20:29 Yeah, Christian Klepp  20:29 Okay, great. From your experience, and you talked a little bit about it now in the past couple of minutes, but like, from your experience, how can leveraging AI agents improve efficiency and save marketing leaders time? Brendan Norman – Classify  20:47 Ooh, there’s a couple different ways to think about that. So you know, part of it is this new agentic framework for how existing tools, you know, advertising and marketing tools, will communicate with each other today. You know, it’s fairly complex. You know, if I wanted to go build a contextual targeting segment to help one of our brands that we work with find the right contextual or inventory to target contextually, I would have to work with them. We build a targeting segment. We would upload that into our one of our SSPs, we would build a deal ID, you know, they would connect it back. And there’s a lot of different pieces that happen along the way. And each one of those pieces you have to go to, you know, a UI, I’ve got to go to a dashboard, I’ve got to push that thing in. Some of it happens through an API, but a lot of it happens like going to a whole bunch of different web pages to make sure this stuff all works. So stuff all works. What’s cool about agents? And I’ll unpack this, and then I’ll go to the more of the consumer focus side too. But what’s really cool about agents using, you know, things like the ACP framework from the Agentic Advertising Org., the ARTF (Agentic Real Time Framework) from IAB Tech Lab is they’re kind of built on some of the existing frameworks that allow humans to use natural language to communicate between these different systems. So there’s still the back end pipes of API pushing data or pulling data from one system to another. But on top of that is more of an agentic framework that allows, you know, a human just to use some prompting, like in chatGPT, to make a request, you know, that talks to a back end system. So that’s one part of the agentic framework for like, you know, how to think about this through the lens of advertising and marketing. And then the other side is, you know, more of the consumer focused. There are so many interesting and very quickly growing tools you know, that you can start to plug in, into Cloud, into Cloud code, and to building things that just rapidly accelerate development of different products and your ability to analyze data quickly. I think in the next, you know, 6 to 12 months, we’re going to have a totally different landscape for how people are buying like trading media also, you know, one more final thought about all of this is that a lot of the sophisticated tooling and pipes that we have are only accessible towards the largest advertisers today. And I think that you’ll pretty quickly see a democratization of the ability for anybody to just buy programmatic ads, whether you’ve got a $20 a month budget or a $20 million a month budget. Now, the ability to similar types of tools to access the right content across the web will start to be available towards a lot more folks outside of the existing, you know, kind of ad tech ecosystem. Christian Klepp  23:55 And I might be stating the obvious when I say this here, but that’s a good thing, isn’t it, because, I mean, I, again, I came out of this industry, and I know that, like, you know, if you wanted to advertise in the New York Times, for example, right? Like, how expensive that would be, or, or anything that was print, right? And then they migrated all that to digital, and then it still wasn’t, it still wasn’t affordable. It was, it was cheaper than print, but still not like, exactly like, you know, yeah, I wonder, wonder if they’ll be worth the investment or not. And then now you have this, this push towards the democratization of all of this through AI and machine learning and, and I do think that you know, for all the the scare mongering that you know people are doing now with, with, oh, you know, all this stuff around AI, I do think that that part certainly will be advantageous to to B2B companies and to marketing in general. Brendan Norman – Classify  24:49 Great. I mean, yeah, optimistically, I think I’m excited about the entire landscape changing because it does a couple things. It allows for much more contextually relevant ads. I know right now there’s only, let’s call it to the magnitude of like, 1000s, 10s of 1000s, maybe hundreds of 1000s, of campaigns and or brands that are able to use these pipes to reach the largest publishers. And all of a sudden you expand that out. You know, I think between meta and Google, they each have somewhere between 15 to 20 million unique advertisers on their platforms, and what that means is, you get really hyper specific ads. And it also means that, like, I might get a local ad for my hometown here for some restaurant that’s launching a promotion that I might only get here, and I might only get to your point, maybe not in the morning, but I’ll get in the evening. There’s a lot of different data sets around my identity, you know, the psychographic profile, contextual understanding of what I’m reading at that exact moment. And what it does a lot of things. It helps smaller brands get more traction, get more visibility. It also just helps improve the publisher experience, and like publishers, make more money. And then the user who’s consuming that content, reading the web page, watching a video, also has just a better experience. And then the other layer of that will continue to just go on, this narrative of agentic, tension, but the agents who are reading that content, watching that video for an end user. On the other side, are also able to interact with advertising content that’s very contextually relevant to the content that they’re consuming again, and it’s good for the storytelling of the advertiser and good for monetization of that publisher too. Christian Klepp  26:38 Absolutely, absolutely. Okay. So how can high fidelity curation? This is the next question, right? How can high fidelity curation make B2B companies more sustainable? And if you can just provide an example, Brendan Norman – Classify  26:54 Curations like, it’s such an interesting term, but you know, effectively, it’s just, it’s helping to use the word and the definition, the definition in the word, curate the right inventory to run an ad campaign on, and curate the right inventory and audiences. So it’s a really important part of the business. I think it involves a couple things. It involves front end targeting, of knowing who’s the back to that question, who’s the audience, and then what’s the right content, and then it also involves a lot of ongoing optimization. And I’ll say that there are some some interesting companies that that are really good at curation, who are building out the right automatic tools to think about more real time optimization, and it’s something that the really big social media companies do very well, like they’re constantly looking at lots and lots of signals when they’re running a campaign, and they’re looking at inventory and stitching together based on the signals that they’re acquiring around. Why certain campaigns do well, to your point, you know, when we’re testing that, selling that pair of skis to Christian, we’re testing a lot of things. We’re testing what he’s reading, you know, we’re testing maybe time of day. We’re testing, you know, where he is. There’s a lot of different elements on the back end that they will ingest and understand and then refeed into that targeting and optimization algorithm. And I think that that is one of the cool things that AI to use, like the air quotes, AI will help enable the processing of a lot of this data to just be a lot faster, be a lot more cost effective, and a lot of these systems that you know previously have been not accessible to the ad tech ecosystem, just because we we operate at such a crazy scale of 10s, hundreds of billions of requests and impressions and transactions that happen every single day. It’s very cost expensive if you’re processing all of that data and all these different signals, with the advancement of how the model cost is getting a lot less expensive, very quickly, not just from an LLM perspective, but then the foundational layers and the infrastructure layers, like we’re doing contextual intelligence as an infrastructure layer. There are inference layers that all kind of sit underneath the LLM and help inform an LLM understanding of that content. As those costs start to decrease, you’ll start to see a lot better performance from curation, just because, you know, it’s not as cost prohibitive, and we’ll be able to find that balance in terms of economics. Christian Klepp  29:45 Yeah, yeah, you hit the nail on the head there. Because, you know, I was just writing this down. You said faster, more cost effective and in my head, and you said it, it’s like, and at scale, like, you can scale this stuff faster, like, when I when I think back, like, years ago, when we, when we launched an ad campaign, and, you know, just the amount of effort, like, for the print and then the cost into, you know, the media placements and all of that and and just alone for like, one city, just just the amount of investment that was involved in all of that, right? Just think, thinking about that. It’s like, gosh, and then now you can scale all of that, like, even faster, because it’s because it’s digital, right? So it’s just such an incredible evolution. Like, I’m getting just as excited as you are man, I’m like, for this next question. Brendan, I’m not sure if you’re the type that likes to do this, but I need you to look into the crystal ball for a second here, right? Because we’re looking at, like, stuff that is, you know, the events that are yet to come, if I’m gonna that, make it sound a little bit suspenseful, but, um, the future of digital advertising, like, how do you think that could become less fragmented and more optimized with everything that we’ve talked about in this conversation. Brendan Norman – Classify  31:04 Yeah, I caution against, like, having any, any specific predictions, and more of, like, a framework for, I mean, for me, at least, yeah, more of a framework for how I think overall, jobs will change. I think that people will have to spend a lot less time doing a lot of the manual, rote tasks that they’re doing today. And, you know, kind of in parallel with what we’re seeing in terms of vibe coding and people’s ability to build product really quickly, design new web pages really quickly. Like, get ship things out quickly. I think a lot of the the infrastructure layer tools, or just call them like, you know, the like, chatGPT style, cloud-based tools, LLMs, we’ll see a lot deeper integration into existing advertising product. And what that does is it helps democratize the whole ecosystem. So I think it frees up people’s time to not have to do a lot of the basic administrative, reporting, manual, campaign, optimization type stuff, and it will help service a lot better insights. Ultimately, I think the industry grows, and I think it scales even faster. And, you know, cautiously, optimistically, I think that we, we will have back to building on the curation piece, and, you know, the advertiser, outcomes piece, publisher, monetization piece, user experience piece, I think that all those things will increase, and I I’m hopeful that with the integration of just better technology, embedding AI into a lot of these systems, it’s going to help steer us towards having better experiences across any type of Publisher content. I think that the advertisers will see better outcomes. I think that the people that are in this industry will get to think more creatively about how they’re, you know, building better creative storytelling, better reaching the right people with those stories. And my hope is that it just continues to expedite and grow the overall industry. Brendan Norman – Classify  33:17 That will be my hope as well. All right, get up on your soapbox here for a little bit. What is a status quo in your area of expertise? So anything that we’ve talked about now in this conversation, what’s the status quo that you passionately disagree with and why? Oh, you must have a ton. Brendan Norman – Classify  33:44 I definitely do. I mean, you know, Christian Klepp  33:48 just name one, just one, Brendan Norman – Classify  33:50 Like in any industry, you know, there’s always, there’s always the early adopters, you know, there’s always the kind of like the middle stack, you know, there’s always, like, the laggards. There’s definitely, you know, a smaller, but growing quickly, minority of folks who are really leaning into, you know, I’ll just call it AI, and then the agentic web, and there’s a lot of discussion right now in ad tech around like, what that means? I’m still hearing that. There’s a lot of skeptics who are kind of making fun of it, or, you know, trash talking about different protocols. Fine, like those are the folks that are absolutely going to get left behind. And I think a lot of those folks on the soapbox in the next 6 to 12 months will look back at, you know what they said, and we’ll all kind of say that didn’t age well, and you were not building this stuff. You weren’t fingers on keyboard or hands on keyboard. Vibe marketing, vibe targeting, building stuff like shipping new product and testing and iterating. What I what I don’t think, is that the really big platforms are just able to be super nimble and adapt to a lot of these new frameworks quickly, totally like the pipes will continue to stay there. I think that there will be startups that are more nimble, that can build and ship things, you know, proof of concepts, prototypes, get things out, learn from them, fail, iterate, and then start to scale meaningful businesses without having to rely on a lot of the existing infrastructure that exists today. Do I think the trade desk is, you know, going anywhere? No, do I think that they will, like, continue to be a valuable piece in this ecosystem, absolutely. And I think that they will ship things. I think that they’ll enable the industry like to build on top of of the pipes that they’ve already built. And at the same time, I think a lot of that rapid advancement will come from startups who are kind of proving that, like they don’t necessarily need the existing pipes and channels to be able to at the end of the day, you know, this whole ecosystem is about helping an advertiser surface their ad against the right content for a human or for an agent. And there have been a lot of folks kind of sitting in the middle for that space for a long time. One of my favorite stats, soapboxy stats, is that if an advertiser puts $1 in to the open web with a programmatic web, 35 cents comes out to a publisher, so 65 cents is being taken by some combination of middlemen, you know, who are collecting a margin for, you know, different services, also some version of fraud. There’s a lot of things that happen in between that and what I’m again, cautiously optimistic about, you know, like the big picture, AI, of facilitating, is the ability to reduce that margin so that, you know, advertiser puts $1 in. A lot more of that dollar comes out towards the publisher, I think big social media, you know, it’s around 70 cents comes out. So they take, you know, somewhere between 25 to 30 cents, which is kind of the value exchange of providing the services, all the targeting, all the technology that goes into supporting that, you know, as a more fair exchange. So I think what a lot of the folks on more of the startup on more of like the front end of the frontier tech in the space we’re excited about is getting to reduce a lot of that inefficiency and a lot of that margin in the middle, and helping more of that dollar show up towards the publisher where it should. Christian Klepp  37:34 Boom and there you have it. Man Brendan, this has been awesome conversation, so thanks again for your time, please. Quick intro to yourself and how folks out there can get in touch with you. Brendan Norman – Classify  37:45 Yeah. Brendan Norman, CEO co-founder at Classify, please. You know, hit me up on LinkedIn or shoot me an email. Check out our website, which is, you know, www.tryclassify.com. I’m happy to connect. You know, if you have questions about advertising from a publisher side, from an advertiser side. Love to chat about it. Christian Klepp  38:06 Sounds good. Sounds good once again. Brendan, thanks for your time. Take care, stay safe and talk to you soon. Brendan Norman – Classify  38:13 Cool. Thanks, Christian. Christian Klepp  38:14 All right. Bye for now.

Freestar CEO Kurt Donnell explains why transparency in programmatic advertising is the open web's best bet for survival in the AI search era.

How many UK households have a Netflix subscription? What percentage of Meta's total revenue comes from scam ads? What was the smartphone usage rate in the UAE in 2025?In this quiz edition of The MadTech Podcast, ExchangeWire's head of marketing Grainne Reid is joined by COO Lindsay Rowntree and John Still, head of content. They look into the changing TV and streaming landscape, tolerances for fraudulent ads (and insects in chocolate), and open web versus mobile advertising.0:00 Introduction1:14 SVOD subscription numbers13:28 Meta scam ads revenue21:15 Smartphone usage rates26:01 MENA focus

Send a textIn this episode, I had the pleasure of speaking with Jimmy Willis, a Senior Manager of Data Engineering at an AdTech company, where he builds systems that turn massive amounts of raw data into useful information. He is a self-taught programmer without a tech degree who was able to get an internship at JP Morgan Chase and leveraged that opportunity into a 6-figure job. Jimmy is currently writing a book and is on a mission to get 10,000 Black people into tech by learning Python and other real-world tech skills.https://www.rovion.co/Sign up for Activate Your Calling: Create, Build, & Promote Your Gift: https://bit.ly/4r0QixGSign up to be notified about Faith to Launch Community: https://bit.ly/FaithtoLaunchPlease join me in my YouTube only series, 30 Days to Becoming a Stronger, More Confident You in Christ: https://www.youtube.com/playlist?list=PLfkkBA4-h1A56MxObeO__s873pdUnnWQ5

Entrepreneurs are often wary of the adtech label for fear that it will undermine valuations, especially by generalist investors. Eric Franchi and Joe Zappa weigh in on whether that concern is legitimate, why founders and investors should be optimistic about adtech in the AI era, and how to handle messaging and positioning if you straddle adtech and other industries or if you're looking to shift your sector. 

welcome to wall-e's tech briefing for monday, february 9th! today, unravel the latest innovations and market moves: apple carplay and ai: integration with ai chatbots like google's gemini, anthropic's claude, and openai's chatgpt to transform in-car interactions, potentially challenging apple's siri. carbon removal acquisition: google and microsoft-backed terradot acquires competitor eion, highlighting investor interest in enhanced rock weathering for low-cost carbon elimination amidst pricing debates. reddit's strategic growth: eyeing adtech and acquisitions post-successful quarter, with a focus on convenience echoing past successes like memorable ai. super bowl ads go ai: tech-savvy commercials from svedka, amazon, and others, highlighting ai's transformative role in advertising, amidst a rivalry between anthropics and openai. hbo's "industry" returns: fourth season explores tech fraud within fintech, echoing real-world financial scandals such as wirecard, and revealing the dark side of high finance. stay tuned for tomorrow's updates!

On this episode of Embracing Erosion, Devon sits down with Alena Morris, Vice President of Product Marketing at Kargo. With over 15 years in ad tech and media — including leadership roles at PubMatic and Quantcast — Alena has seen the industry evolve from managed services to programmatic, and now to an AI-driven future.In this conversation, they explore how the lines between SSPs, DSPs, and retail media are blurring; how AI is shifting from creative production to creative intelligence; and what it takes to lead teams through periods of rapid change. Alena also shares lessons from her first six months at Kargo — from rebuilding trust across teams to shaping the company's transition from a creative-first business to a tech-powered platform.Enjoy the conversation!

Today's show features: Margaret Henney, Vice President of Marketing at CoVideo Taylor Mazock, Social Media Manager at Cavender Auto Group Jason Espin, Automotive Technician at Benzel-Busch Motor Car Lauren Clarke, RV Sales Assistant at Airstream of South Florida Chris Escalante, Finance Assistant at Suburban Buick GMC of Troy This episode is brought to you by: Stream Companies – Stream Companies is a full-service, fully integrated, tech-enabled advertising agency that drives measurable results through performance marketing, creative and content development, and proprietary AdTech solutions. Our innovative platforms, including the Retail Ready platform and Integrated Marketing Cloud, empower brands to optimize performance and accelerate growth. To learn more, visit StreamCompanies.com. CoVideo – Covideo is the leader in video lead response, helping dealerships convert more internet leads into appointments and vehicle sales through fast, personalized follow-up. Dealers using Covideo consistently see stronger engagement, higher appointment rates, and more vehicles sold. With AI-powered innovations coming soon, Covideo is continuing to help dealers move faster and win earlier in the sales process. Visit https://www.covideo.com/ to learn more. Check out Car Dealership Guy's stuff: CDG Circles ➤ https://cdgcircles.com/ CDG News ➤ https://news.dealershipguy.com/ CDG Jobs ➤ https://jobs.dealershipguy.com/ CDG Recruiting ➤ https://www.cdgrecruiting.com/ My Socials: X ➤ https://www.twitter.com/GuyDealership Instagram ➤ https://www.instagram.com/cardealershipguy/ TikTok ➤ https://www.tiktok.com/@guydealership LinkedIn ➤ https://www.linkedin.com/company/cardealershipguy/ Threads ➤ https://www.threads.net/@cardealershipguy Facebook ➤ https://www.facebook.com/profile.php?id=100077402857683

Both of Virginia's senators want an investigation into how the Department of Homeland Security uses sensitive personal data. Senators Tim Kaine and Mark Warner this week requested that DHS Inspector General Joseph Cuffari look into that issue. They pointed to reports that DHS and Immigration and Customs Enforcement are tapping into tools ranging from facial recognition and license plate readers to social media monitoring. Earlier this month, ICE also released a request for information on the use of AdTech data to help with its investigations. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Mobile gaming revenue stagnates on paper, Monopoly GO becomes the fastest game ever to hit $6B, and Liftoff officially files for a US IPO.This episode breaks down what the data says, what it misses, and why web stores, hybrid casual, and AdTech exits define the next phase of mobile gaming.What we cover• Mobile revenue vs reality• Hybrid casual growth• Monopoly GO's $6B milestone• Web stores and platform leakage• Liftoff IPO & AdTech exitsGet our MERCH NOW: 25gamers.com/shop---------------------------------------This is no BS gaming podcast 2.5 gamers session. Sharing actionable insights, dropping knowledge from our day-to-day User Acquisition, Game Design, and Ad monetization jobs. We are definitely not discussing the latest industry news, but having so much fun! Let's not forget this is a 4 a.m. conference discussion vibe, so let's not take it too seriously.Panelists: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jakub Remia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠r,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Felix Braberg, Matej Lancaric⁠Podcast: Join our slack channel here: https://join.slack.com/t/two-and-half-gamers/shared_invite/zt-2um8eguhf-c~H9idcxM271mnPzdWbipgChapters00:00 — Intro & why this week matters00:35 — Mobile revenue stagnation explained01:45 — The web revenue blind spot02:50 — Hybrid casual growth signals03:40 — Monopoly GO hits $6B (record speed)05:10 — Why Monopoly GO is underreported06:10 — Web stores and Supercell traffic07:05 — Liftoff files for IPO08:30 — What this means for AdTech in 202609:05 — Final take & outro---------------------------------------Matej LancaricUser Acquisition & Creatives Consultant⁠https://lancaric.meFelix BrabergAd monetization consultant⁠https://www.felixbraberg.comJakub RemiarGame design consultant⁠https://www.linkedin.com/in/jakubremiar---------------------------------------Please share the podcast with your industry friends, dogs & cats. Especially cats! They love it!Hit the Subscribe button on YouTube, Spotify, and Apple!Please share feedback and comments - matej@lancaric.me---------------------------------------If you are interested in getting UA tips every week on Monday, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠lancaric.substack.com⁠⁠⁠⁠⁠⁠ & sign up for the Brutally Honest newsletter by Matej LancaricDo you have UA questions nobody can answer? Ask ⁠⁠⁠⁠⁠⁠⁠⁠Matej AI⁠⁠⁠⁠⁠⁠ - the First UA AI in the gaming industry! https://lancaric.me/matej-ai

Today's show features: - David Wyler, President and CEO of Jeff Wyler Automotive Family - Ryan Rohrman, Chief Executive Officer of Rohrman Auto Group - Cuyler Owens, CEO of Widewail - Scott Painter, Founder & CEO of TrueCar This episode is brought to you by: Stream Companies – Stream Companies is a full-service, fully integrated, tech-enabled advertising agency that drives measurable results through performance marketing, creative and content development, and proprietary AdTech solutions. Our innovative platforms, including the Retail Ready platform and Integrated Marketing Cloud, empower brands to optimize performance and accelerate growth. To learn more, visit StreamCompanies.com. Widewail – Leading dealerships aren't choosing between profit and customer experience. They're learning to balance both. Widewail CEO Cuyler Owens unveils how Customer Intelligence provides the real-time insights needed to stay aligned with customer expectations as the digital-native market grows. The discussion, backed by Widewail's 15M-review dataset, will also highlight key findings from the 2026 Voice of the Customer Report. Read the full report here: https://carguymedia.com/3Zxbkrt Check out Car Dealership Guy's stuff: CDG Circles ➤ https://cdgcircles.com/ CDG News ➤ https://news.dealershipguy.com/ CDG Jobs ➤ https://jobs.dealershipguy.com/ CDG Recruiting ➤ https://www.cdgrecruiting.com/ My Socials: X ➤ https://www.twitter.com/GuyDealership Instagram ➤ https://www.instagram.com/cardealershipguy/ TikTok ➤ https://www.tiktok.com/@guydealership LinkedIn ➤ https://www.linkedin.com/company/cardealershipguy/ Threads ➤ https://www.threads.net/@cardealershipguy Facebook ➤ https://www.facebook.com/profile.php?id=100077402857683

Today I'm joined by George Karolis, President of The Presidio Group. George breaks down the tension between record-high blue sky multiples and the rising cost of capital, offering a rare look at who is buying, who is selling, and why the "big get bigger" trend is accelerating. Visit @ ⁠https://thepresidiogroup.com/v2ud⁠ to download the data discussed in today's episode. This episode is brought to you by: 1. Amazon Autos - Sell vehicles to online shoppers who can now buy or lease at Amazon Autos. Upload your inventory of new, used, and certified pre-owned vehicles to our online marketplace, where purchase-ready customers can browse, purchase online, then pick up at a local dealership. Learn more @ https://sell.amazon.com/programs/autos 2. fullthrottle.ai - fullthrottle.ai® is a next-generation AdTech powerhouse. The Automotive DSP™ is built specifically for the auto industry, combining advanced programmatic targeting, real-time bidding, and analytics tailored to drive dealership and OEM performance. With fullthrottle.ai®, marketers can reach the right car shoppers at the right moment and optimize toward real business outcomes like test drives, leads, or sales. https://www.fullthrottle.ai/ bridges the gap between auto media buying and results-driven marketing. 3. The Presidio Group - The Presidio Group is one of the longest standing investment banks entirely focused on the auto retail sector in the United States and was founded in 1998 with the simple mission to relentlessly put the interests of its clients first. During their careers, the professionals at Presidio have collectively closed more than 300 transactions for over $20.0 billion. The Presidio Group, based in Denver and Atlanta, publishes Presidio Perspectives: A Quarterly Outlook on Auto Retail and M&A Trends, a leading source of information about the automotive retail landscape. Click here to subscribe to our market insights: https://go.thepresidiogroup.com/cdg-x-the-presidio-group-strategic-insights-for-the-road-ahead Check out Car Dealership Guy's stuff: For dealers: CDG Circles ➤ ⁠⁠⁠https://cdgcircles.com/⁠⁠⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dealership recruiting ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgrecruiting.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Fix your dealership's social media ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.trynomad.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ For industry vendors: Advertise with Car Dealership Guy ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgpartner.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Topics: 00:12 What does the current M&A market look like? 09:56 How are valuations and buyer behavior playing out? 18:25 How does technology impact dealerships? 22:50 What are vehicle brand-specific challenges currently? 27:21 What is the future outlook of the M&A market? Car Dealership Guy Socials: X ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠x.com/GuyDealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠instagram.com/cardealershipguy/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tiktok.com/@guydealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/company/cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠threads.net/@cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Everything else ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Nathan Thomas, Principal at Thomas Media Consulting and former Playwire leader, joins the AdTechGod Pod to unpack his 16-year journey across publisher ops, programmatic sales, and data partnerships, plus his take on where the open web, CTV pricing, digital out-of-home, and publisher data control are heading next. Takeaways Nathan Thomas transitioned from a long career at Playwire to consulting. The publishing industry has become increasingly complex and challenging. Digital out-of-home advertising presents unique opportunities for engagement. Monetization pressures are mounting for publishers due to rising content costs. The open web is facing significant challenges with traffic decline. Data management and privacy are critical for publishers moving forward. AI is rapidly changing the landscape of advertising and content creation. Gaming advertising is underutilized and has potential for growth. Curation in advertising can be beneficial if managed properly. Future trends in advertising will focus on innovation and data-driven strategies. Chapters 00:00 Introduction to Nathan Thomas and His Journey 04:05 Transitioning to Consulting: A New Chapter 06:24 The Evolution of the Publishing Industry 09:18 Challenges in Monetization and Supply Chain 12:54 The Rise of Digital Out of Home Advertising 16:56 The Future of Open Web and Data Management 20:31 Navigating the Data Landscape in Advertising 24:14 Looking Ahead: Trends and Predictions for 2026 Learn more about your ad choices. Visit megaphone.fm/adchoices

Today's show features: - Chris Pres, VP, Automotive Distribution of Polly - Laura Perrotta, President of NJ CAR This episode is brought to you by: Stream Companies – Stream Companies is a full-service, fully integrated, tech-enabled advertising agency that drives measurable results through performance marketing, creative and content development, and proprietary AdTech solutions. Our innovative platforms, including the Retail Ready platform and Integrated Marketing Cloud, empower brands to optimize performance and accelerate growth. To learn more, visit StreamCompanies.com. Polly – Polly helps dealers turn insurance into a better customer experience and stronger deal performance. By bringing insurance directly into the car-buying journey, Polly helps dealers close more deals, move them faster, and keep buyers happier. Learn more at www.polly.co/cardealershipguy Check out Car Dealership Guy's stuff: CDG Circles ➤ https://cdgcircles.com/ CDG News ➤ https://news.dealershipguy.com/ CDG Jobs ➤ https://jobs.dealershipguy.com/ CDG Recruiting ➤ https://www.cdgrecruiting.com/ My Socials: X ➤ https://www.twitter.com/GuyDealership Instagram ➤ https://www.instagram.com/cardealershipguy/ TikTok ➤ https://www.tiktok.com/@guydealership LinkedIn ➤ https://www.linkedin.com/company/cardealershipguy/ Threads ➤ https://www.threads.net/@cardealershipguy Facebook ➤ https://www.facebook.com/profile.php?id=100077402857683

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/

Idag gästar Clara Grelsson, Sverigechef för Adnuntius, som för två år sedan tog steget från vd-rollen på Mindshare till tech- och plattformssidan inom adtech. Samtalet handlar om varför nordisk, egenbyggd annonsteknologi är viktig, hur Adnuntius kortar värdekedjan i programmatisk annonsering så att mer av budgeten faktiskt går till annonsering och inte dolda avgifter, samt hur det nya EU-regelverket TTPA, Transparency and Targeting of Political Advertising, påverkar politisk annonsering och transparens i digitala kampanjer. Missa inte en otrolig kvart och glöm inte prenumerera och följa oss på instagram

Paul Knegten draws on his experience as a former Beeswax CMO and long-time ad tech marketer to explain what actually works in marketing as the industry heads into 2026. The conversation covers AI hype versus real value, why founder voice matters more than positioning decks, how buyers actually make decisions, and the difference between a marketing problem and a real business problem. Paul also breaks down where ad tech companies lose the plot when talking to brands and agencies, and why relevance beats buzz every time. Takeaways AI does not fix weak positioning and only works when it solves a real customer problem. Founder-led communication often outperforms polished brand messaging in ad tech. Buyers care more about results than transparency when performance is strong. LinkedIn and major industry events remain the two most effective channels to reach decision makers. Many companies think they have a marketing issue when they actually have a product-market fit problem. Chapters 00:09 Intro and guest welcome, Paul Knegten 01:04 Marketecture Live and Startup Showcase 04:05 Paul's background in ad tech marketing 05:34 State of ad tech and the AI rush 06:39 Consolidation and “quietly winning” ad networks 08:44 Transparency vs performance for buyers 10:11 Founder-led marketing and being the face of the brand 13:13 Avoiding the ad tech echo chamber 15:26 Reaching buyers on LinkedIn and tentpole events 20:15 Brands and agencies vs ad tech priorities 22:06 AI hype and differentiation 24:05 “Marketing problem” vs “problem problem.” 28:39 OpenAI rolls out ads in the free tier 38:58 CTV News, EDO vs iSpot TV lawsuit 47:48 Gamera launch and open-web signals Learn more about your ad choices. Visit megaphone.fm/adchoices

Today, Chris sits down with Joe Schaeppi, co-founder & CEO of Solsten—a deep-tech company mapping human psychology and turning it into actionable AI for creative, targeting, and product personalization. After 8 years of R&D, Solsten's “human context layer” helps enterprises and SMBs understand why people act the way they do—then adapt ads, products, and AI agents to match. Clients like LEGO and Peloton report creative wins and 3× conversion lifts, while a new self-serve product opens the stack to smaller teams.Highlights include...• Building a cognitive-behavioral AI model from clinical-grade psychometrics and authentic behavior data• Why “creative is the new targeting” (Meta's Andromeda) and how psychology-matched creative cuts CPI/raises LTV• Personalization beyond demographics—training AI agents to speak in users' thinking and communication styles• Go-to-market shift: from years of R&D to scale (>$35M raised; investors incl. RedBird & Galaxy)• Use cases across gaming, fintech, health/fitness, hospitality, and more

In this live recording (January 14th 2026), we have conducted a comparative law exercise (US/EU) regarding ePrivacy compliance through Universal Opt-Out signals.Alan Chapell is the President of Chapell & Associates, a law firm serving media and AdTech. He is outside counsel and CPO to several of the leading advertising and technology companies. He regularly publishes both The Chapell Report and The Monopoly Report.References:* Alan Chapell on LinkedIn* The Chapell Report* The Monopoly Report* IEEE P 7012 (MyTerms)* Alan Chapell: The many struggles of Google's Privacy Sandbox, and how to deploy it in compliance with EU and US privacy laws (Masters of Privacy, May 2024)* Can the GPC standard eliminate consent banners in the EU? (Sebastian Zimmeck, Harshvardhan J. Pandit, Frederik Zuiderveen Borgesius, Cristiana Teixeira Santos, Konrad Kollnig, Robin Berjon)* The slippery slope of consent banners in preventing CIPA and VPPA claims: why effective Opt-Outs will prevail - also in the EU (Sergio Maldonado). This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

In this episode we're joined by Todd Pooser, author of A Systems Approach to Public Administration and Social Equity and founder of The Virtual Commonwealth. Listen in to hear the scientific justification for the foundations of our work to create an equitable and sustainable society. Job seekers may use these frameworks as they evaluate the work and the approach of potential employers. As we aim to solve intractable problems we need more than opinion, we have scientific models, derived from living systems, that can guide us. Todd uses General Systems Theory to answer this big question: What's the elegant solution that solves all of our inextricably entwined problems?To discover the solution we need to recognize our interdependence and interconnectedness. Then we have 2 sets of 3 rules to follow. 3 Rules of Systems-Based EthicsHuman Health and Environmental Health are One and the SameThere is No Such Thing As ThemIt's Bigger than Physical Things. We have non-material needs. 3 Rules of a Systems-Based Social Contract Establish a Physical Steady StateCreate central mandates while preserving the individual's right to chooseReconcile Price and CostWe use a discussion of Congestion Pricing as a policy that reconciles price and cost. Noting that there is a 0% chance of political systems creating the ideal situation, Todd introduces The Virtual Commonwealth which is a model for collective action where individuals form investing and purchasing communities because throwing our financial weight behind our beliefs is as critical as our voting weight is to our democracy.About the Guest:Todd Pooser is the founder and CEO of the Virtual Commonwealth. Todd's book, A Systems Approach to Public Administration and Social Equity, uses cross-disciplinary science to formulate “The Plan” – a series of social policies that if enacted, will enable humanity to live in the best possible world given the conditions of our existence. The Virtual Commonwealth is the commercial application of the concepts advanced in the book, which has been published by Emerald Publishing as part of a series on sustainability and social equity. As COO of an Ad Tech startup, Todd has raised $9M from both public companies and high net worth individuals.

Today's show features: - David Cerqueira, Service Director at Benzel-Busch Motor Car - Danny Negalha, Fixed Ops Director at McGovern Automotive Group This episode is brought to you by: Stream Companies – Stream Companies is a full-service, fully integrated, tech-enabled advertising agency that drives measurable results through performance marketing, creative and content development, and proprietary AdTech solutions. Our innovative platforms, including the Retail Ready platform and Integrated Marketing Cloud, empower brands to optimize performance and accelerate growth. To learn more, visit StreamCompanies.com. Dealer Video Excellence Challenge, presented by Covideo – enter the contest by submitting your videos for your chance to win $1,000 and 3 months of Covideo access here: https://2tqce38uozv.typeform.com/to/KEOuOixJ — Check out Car Dealership Guy's stuff: CDG Circles ➤ https://cdgcircles.com/ CDG News ➤ https://news.dealershipguy.com/ CDG Jobs ➤ https://jobs.dealershipguy.com/ CDG Recruiting ➤ https://www.cdgrecruiting.com/ My Socials: X ➤ https://www.twitter.com/GuyDealership Instagram ➤ https://www.instagram.com/cardealershipguy/ TikTok ➤ https://www.tiktok.com/@guydealership LinkedIn ➤ https://www.linkedin.com/company/cardealershipguy/ Threads ➤ https://www.threads.net/@cardealershipguy Facebook ➤ https://www.facebook.com/profile.php?id=100077402857683 Everything else ➤ dealershipguy.com

In this episode of the MadTech Podcast, ExchangeWire editor Aimee Newell Tarín is joined by head of content John Still and COO Lindsay Rowntree for a quiz covering some of the biggest recent events in the ad tech industry. They look at ChatGPT, cookies, ad fraud, and the bidding war for WBD.

Find YouTube link to watch here:  https://youtu.be/uh99t38qgxw   Shownotes Welcome to the first Programmatic Digest episode of 2026 with Ellen Parker and Manuela Cortez. This is a quick check-in, plus a trader-friendly breakdown of the biggest 2025 shifts and what to watch in 2026. We cover five trends from 2025 (AI everywhere, privacy and cookieless reality, CTV growth, RMNs going more programmatic, and supply quality/transparency). Then we close with three 2026 predictions: curation becoming "default infrastructure," AI as a co-pilot (not autopilot), and multi-identity strategies becoming standard. This episode also includes the 2026 community focus: subscribe to YouTube + the newsletter, confirm your subscription, and reach out if you want to contribute (writing, audio, or guest spots).   Here's What You'll Learn What "AI everywhere" means for traders: less manual tuning, more strategy and interpretation Why privacy-first is still a day-to-day skill, even if cookies hang around longer than expected Why CTV is no longer "experimental" and how measurement expectations are changing Why more RMNs going programmatic changes how you think about signals and audiences What "supply quality + transparency" should actually include (fees, paths, reporting depth) 2026 prediction: curation becomes the baseline (SSP curation vs curation houses vs curation desks) 2026 prediction: AI moves from rules-based automation to agent-style workflows (co-pilot mindset) Why you still need foundations first (know how to do it manually before you let AI help) Subscribe to the Programmatic Digest Podcast on your favorite platform (including Spotify) https://www.heleneparker.com/programmatic-digest-podcast/  Subscribe to the Programmatic Digest YouTube channel: https://www.youtube.com/@programmaticdigest  Join the newsletter and confirm your subscription: https://www.heleneparker.com/newsletter/ Access the Programmatic Training here: https://www.heleneparker.com/library/ No String Attached - MediaMath DSP (including Agent AI Connector): helene.parker@infillion.com Timestamps • 00:00 – Intro: Welcome to the first Programmatic Digest of 2026. • 01:15 – Channel Updates: YouTube growth and the importance of the weekly newsletter. • 03:30 – Hands-on Support: Tips, hacks, and activation-focused support in the newsletter. • 05:45 – Calling for Contributors: Opportunities to host, write, and build industry authority. • 08:20 – The Programmatic Training Library: Combining six years of workshops and courses. • 11:00 – Micro-Workshops: Real-world DSP setup support and "programmatic ninja" coaching. • 13:15 – 2025 Trend #1: AI Everywhere—Automated bidding, optimization, and predictive modeling. • 16:00 – AI for Productivity: Using tools like ChatGPT to simplify industry jargon and workflows. • 19:45 – 2025 Trend #2: Privacy-First & Cookieless—The multiple identity approach. • 22:10 – 2025 Trend #3: CTV and Audio—Moving from experimental to action-driven channels. • 25:30 – 2025 Trend #4: Retail Media Networks (RMN)—New players like Loves Media and Go Puff. • 28:45 – The Value of Diversification: How audience insights drive revenue for traders. • 31:15 – 2025 Trend #5: Supply Quality & Transparency—Demanding log-level data and fee clarity. • 34:00 – 2026 Prediction #1: Curation as Default—SSP curation, Curation Houses, and Desks. • 38:15 – 2026 Prediction #2: AI as Co-Pilot—Moving from "automated" to "agentic" intelligence. • 41:30 – Media Math Agent Connector: Managing campaigns via AI prompts without UI clicks. • 45:00 – The "Rice Cooker" Analogy: Why you must understand manual foundations before using AI. • 48:15 – Advanced Reporting: Tying campaign data to real-world consumer behavior and brand impact. • 51:45 – 2026 Prediction #3: Dual Identity Strategies—Using the Media Math X Graph. • 54:30 – Under the Hood: Investigating "proprietary" tech and demanding the "Carfax" for AdTech. • 57:00 – Final Takeaways: "Grace over Guilt" and putting your 2026 plans into action. • 1:00:15 – Closing Encouragement: Mental and spiritual health for the year ahead   Meet The Team: Hélène Parker - Chief Programmatic Coach https://www.heleneparker.com/  https://www.linkedin.com/in/helene-parker   Manuela Cortes - Co-Host  Programmatic Digest In Espanol:  https://www.linkedin.com/in/manuela-cortes-   Learn Programmatic As a TEAM: https://www.heleneparker.com/workshop/ As a Programmatic Ninja: https://www.heleneparker.com/course/ Programmatic Coaching Newsletter:https://www.heleneparker.com/newsletter/   Programmatic Digest https://www.linkedin.com/company/programmatic-digest-podcast https://www.youtube.com/channel/UCBGMMRsZkw0IIUbQIJmMBxw Looking for programmatic training/coaching?  Sign up to our Accelerator Program: A 6-week structured program with live coaching, hands-on within DSP(s) exercises, and real-time feedback—perfect for those who thrive on accountability and community, and looking to grow their technical skillset https://reachandfrequencycourse.thinkific.com/courses/program   Self-Paced Course: Full access to course content anytime, allowing independent learners to study at their own speed with complete flexibility. https://reachandfrequencycourse.thinkific.com/bundles/the-reach-frequency-full-course   Sign up to this FREE workshop: https://programmaticdigest14822.ac-page.com/sell-side-workshop    YouTube Keywords programmatic advertising, The Trade Desk, TTD update, OpenPath, SSP, reseller definition, IAB, transaction ID, TxnID, header bidding, prebid, SPO, DPO, supply path optimization, demand path optimization, PMP, curation, publisher ad stack, viewability, ad density, ad quality, InfoLinks, Magnite, AppNexus, Gamera, Programmatic Digest Podcast, Hélène Parker

Today's show features: - JB Burnett, Executive General Manager of Preston Automotive Group - Justin Lasky, Business Manager at Lexus of North Hills This episode is brought to you by: Stream Companies – Stream Companies is a full-service, fully integrated, tech-enabled advertising agency that drives measurable results through performance marketing, creative and content development, and proprietary AdTech solutions. Our innovative platforms, including the Retail Ready platform and Integrated Marketing Cloud, empower brands to optimize performance and accelerate growth. To learn more, visit StreamCompanies.com. Dealer Video Excellence Challenge, presented by Covideo – enter the contest by submitting your videos for your chance to win $1,000 and 3 months of Covideo access here: https://2tqce38uozv.typeform.com/to/KEOuOixJ — Check out Car Dealership Guy's stuff: CDG Circles ➤ https://cdgcircles.com/ CDG News ➤ https://news.dealershipguy.com/ CDG Jobs ➤ https://jobs.dealershipguy.com/ CDG Recruiting ➤ https://www.cdgrecruiting.com/ My Socials: X ➤ https://www.twitter.com/GuyDealership Instagram ➤ https://www.instagram.com/cardealershipguy/ TikTok ➤ https://www.tiktok.com/@guydealership LinkedIn ➤ https://www.linkedin.com/company/cardealershipguy/ Threads ➤ https://www.threads.net/@cardealershipguy Facebook ➤ https://www.facebook.com/profile.php?id=100077402857683 Everything else ➤ dealershipguy.com

Eric Franchi and Joe Zappa discuss four ideas for how adtech CEOs can crush it in 2026: overcommunicate direction until you're sick of yourself; tell a story about the industry, not just your company; design the company for AI; and center outcomes in your storytelling. Plus, Joe talks about getting punched in the face, physically and metaphorically.

In this episode of the AdTechGod Pod, Al Kallel, founder and CEO of Nativeads.AI, shares insights from his extensive experience in the advertising technology space. The conversation explores the evolution of consumer experiences in advertising, the transformative role of AI, and the importance of personalization and data collaboration. Al discusses the challenges of maintaining quality in AI-generated content and navigating privacy changes in the advertising landscape. He also highlights future trends in advertising and the potential of agentic commerce. Takeaways Al Kallel has over 20 years of experience in advertising technology. The consumer experience in advertising has shifted significantly with the rise of mobile and streaming. AI presents opportunities for creating native advertising experiences without compromising brand integrity. Quality control is crucial when using AI for content generation. Personalization in advertising requires deep collaboration between brands and publishers. The advertising landscape is evolving with increasing privacy concerns and the decline of cookies. Future advertising strategies must embrace agentic experiences to engage consumers effectively. AI can help scale personalized advertising solutions for better engagement. The shift to agentic commerce will vary across different product categories. 2026 and 2027 will see rapid advancements in advertising technology and consumer behavior. Chapter 00:00 Introduction to Ad Tech and Al Kallel's Background 02:32 Evolution of Consumer Experiences in Advertising 05:13 The Role of AI in Advertising 07:45 Quality Control in AI-Generated Content 10:10 Personalization and Data Collaboration in Advertising 12:53 Navigating Privacy Changes in Advertising 15:31 Future Trends in Advertising and Consumer Behavior 17:42 Agentic Commerce and Its Viability Learn more about your ad choices. Visit megaphone.fm/adchoices

Today's show features: - Scott Pharr, COO/Partner of P4 Automotive - Stephane Ferri, CEO of Car Wars - Micah Westrum, General Manager of Ramsey Mazda This episode is brought to you by: Stream Companies – Stream Companies is a full-service, fully integrated, tech-enabled advertising agency that drives measurable results through performance marketing, creative and content development, and proprietary AdTech solutions. Our innovative platforms, including the Retail Ready platform and Integrated Marketing Cloud, empower brands to optimize performance and accelerate growth. To learn more, visit StreamCompanies.com. Dealer Video Excellence Challenge, presented by Covideo – enter the contest by submitting your videos for your chance to win $1,000 and 3 months of Covideo access here: https://2tqce38uozv.typeform.com/to/KEOuOixJ — Check out Car Dealership Guy's stuff: CDG Circles ➤ https://cdgcircles.com/ CDG News ➤ https://news.dealershipguy.com/ CDG Jobs ➤ https://jobs.dealershipguy.com/ CDG Recruiting ➤ https://www.cdgrecruiting.com/ My Socials: X ➤ https://www.twitter.com/GuyDealership Instagram ➤ https://www.instagram.com/cardealershipguy/ TikTok ➤ https://www.tiktok.com/@guydealership LinkedIn ➤ https://www.linkedin.com/company/cardealershipguy/ Threads ➤ https://www.threads.net/@cardealershipguy Facebook ➤ https://www.facebook.com/profile.php?id=100077402857683 Everything else ➤ dealershipguy.com

AdTechGod and Anthony Katsur discuss the evolving landscape of the advertising industry, particularly focusing on the concept of Agentic AI. They explore the current hype surrounding Agentic AI, its potential impact on digital media buying and selling, and the challenges related to privacy and measurement. The discussion also touches on the future of ad operations, the implications of AI browsers, and the strategic planning necessary for navigating these changes. Katsur emphasizes the need for foundational work in the industry while acknowledging the innovative potential of Agentic AI. Takeaways The advertising industry is experiencing unprecedented changes, particularly with the rise of Agentic AI. Agentic AI has the potential to introduce efficiencies in digital media trading, but it's still in early stages. There's significant hype around Agentic AI, but tangible results are yet to be seen. Privacy challenges remain a critical concern as AI technologies evolve. The future of ad operations will likely see a slowdown in hiring due to the automation capabilities of AI. AI browsers may change how content is presented and consumed online. Strategic planning is essential for navigating the evolving landscape of advertising technology. The industry must focus on foundational issues like supply chain transparency and measurement challenges. Agentic AI may not replace existing protocols, but can enhance them. The future of AI in advertising will involve a mix of successes and failures as the technology matures. Chapters 00:00 Introduction to the Agentic Era 02:14 Understanding Agentic AI in Digital Media 05:57 The Hype Cycle of Agentic AI 08:51 Challenges in Privacy and Measurement 10:47 The Future of Ad Operations 12:02 The Concept of Agentic Interfaces 14:39 Impact on Hiring and Talent Dynamics 19:04 AI Browsers and Their Implications 22:04 Strategic Planning and Industry Trends 24:51 The Future of Agentic AI and Potential Failures Learn more about your ad choices. Visit megaphone.fm/adchoices

On Marketecture Live, Jayson Dubin, CEO and Founder of Playwire, explains how publishers can grow revenue and improve performance by combining machine learning with human intelligence. He shares concrete results from AI-driven traffic shaping and price floor optimization, walks through Playwire's Quality, Performance, Transparency (QPT) initiative, and discusses major ecosystem issues like supply chain opacity, malicious ads, and the shifting realities of AI-driven discovery. He also introduces RAMP, Playwire's Revenue Amplification Management Platform, built to give enterprise publishers control, visibility, and optional AI automation. Takeaways AI is best for repetitive, rapid decisions; humans are best for contextual strategy and judgment in a gray, complex ad ecosystem. AI traffic shaping drove a 21% lift in Revenue Per Session versus 9% without it. AI price flooring delivered about a 20% uplift in RPM through multidimensional, per-request adjustments. Cutting bid requests can increase performance and revenue while also improving page speed and traffic. QPT shifted Playwire from quantity to quality, strengthening trust with buyers and partners. Transparency remains uneven: publishers still struggle to identify buyers and stop malicious ads across the bidstream. RAMP unifies traffic shaping, bid shaping, and flooring into a platform designed for enterprise publisher control and visibility. Chapters 00:00 Intro Jayson Dubin and the core theme 00:55 What Playwire does and why automation matters at scale 01:23 The false choice: automation vs human involvement 01:38 Decision framework where AI wins vs where humans win 02:31 Traffic shaping explained feed DSPs and SSPs what they eat 03:15 Traffic shaping results 21% RPS lift and fewer bid requests 04:01 AI price flooring moving beyond GAM rule limits 05:23 Origin story industry feedback and the shift to quality 05:57 QPT Quality Performance Transparency 06:57 Two-year impact: fewer requests, higher CPM, higher revenue 09:37 Marketecture Live Q&A: What AI means for publishers now 18:56 Scale and leverage who gets to command better terms Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of the AdTechGod Pod, guests Aaron Goldman (Mediaocean), Tony Marlow (LG Ads), and Jackelyn Keller (Jackwell Partners) reflect on the past year in advertising, the impact of AI, and the trends shaping the future. The conversation covers everything from weird meetings in 2025 to the overhyped nature of AI and retail media. The guests share insights on the importance of understanding data, the challenges of attribution, and the need for creativity in marketing. The episode concludes with a rapid-fire round of questions, revealing personal opinions and humorous takes on the industry. Takeaways AI has significantly influenced all industries, not just advertising. Naming and branding can lead to intense discussions in meetings. AI-powered solutions are often overhyped in the industry. Retail media networks may struggle to survive without scale. Attribution methods in advertising are complex and often debated. Predictions in the industry can be unnecessary and overdone. Creative optimization is essential for effective marketing campaigns. Understanding data is crucial for marketers to make informed decisions. The future of advertising may involve more interactive and engaging ad formats. The importance of chilling out about industry drama and focusing on collaboration. Chapters 00:00 Welcome and ugly sweaters 03:40 50 Cent and NewFront prep 06:20 AI hype vs reality 08:45 Curation and other buzzwords 12:10 AdCP and why it is hard 14:30 Creative optimization A/B to A-Z 17:45 Ads inside AI chat experiences 18:45 Regifting trends, retail media, and clean rooms 22:10 Agentic commerce debate 25:40 What the industry should chill about 29:30 Rapid-fire questions 36:00 Wrap-up and holiday sign-off Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we sit down with Michael Kelly, a true digital pioneer and veteran of the media and AdTech landscape. For more than two decades, he has been at the front edge of every major wave in media, marketing, and technology, building, scaling, and transforming high-growth companies across the U.S., UK, and Ireland, including giants like AOL, Time Warner, and The Weather Company.As co-founder of KellyNewman Advisors, Michael helps founders and investors accelerate growth, sharpen go-to-market strategy, and execute M&A. He shares his journey, the biggest evolutionary changes he's witnessed in AdTech, and his current focus: how AI is reshaping marketing, measurement, and value creation.Now, Michael is turning his strategic attention to the vibrant Irish ecosystem. We dive deep into:Why Ireland could be the next hot spot for AdTech innovation.The specific market gaps he sees Irish startups are uniquely positioned to fill.The traits, technologies, and metrics that make a founder or company stand out to him as an advisor and potential investor.Practical advice for Irish founders looking to scale internationally.If you're building or scaling an AdTech venture in Ireland, this episode is packed with Mike's strategic insights, inspiration, and a clear call to action on how to get on his radar.Michael Kelly is a true digital pioneer and a highly seasoned executive and advisor. He has served as CEO, board chair, and strategic advisor across adtech, martech, and digital media.As co-founder of KellyNewman Advisors, Michael leverages his experience to help high-growth companies accelerate, sharpen go-to-market strategy, and execute M&A with clarity and momentum. He is currently deeply focused on how AI is reshaping marketing, measurement, and value creation across the industry.Michael is a two-time honoree on Irish America Magazine's Business 100, serves on the board of the American Advertising Federation, and is a member of the Board of Counselors of The Carter Center.Want to get in contact? Email us at podcast@digitalirish.com

Andrew Cassin, Senior Director of Programmatic Partnerships at Cadent, joins AdTechGod to discuss what strong programmatic partnerships look like today, how the industry has moved beyond a “set it and forget it” mindset, the importance of building clean supply paths, and how to stay human as the industry continues to evolve. Takeaways Partnerships now require active, outcome-driven deal design. “Set it and forget it” is gone, optimization and communication matter. Buyers expect cleaner supply paths and real transparency. Cadent's ViewPlanner supports planning across linear, CTV, OLV, and YouTube. Brands and agencies lean on partners to navigate privacy, brand safety, and AI shifts. Career growth came from staying curious and learning by doing across roles. Hard moments reshaped Andrew's leadership style toward empathy and authenticity. Chapters 00:05 Andrew's background and getting into programmatic early 01:13 Career path from Forbes to Rubicon, JWP Connatix, Equativ, and Cadent 05:37 What's stayed constant through industry change 07:16 How brands and agencies rely on partners amid privacy, brand safety, and AI shifts 08:08 Cadent's ViewPlanner acquisition and why YouTube matters 09:24 Why partnerships moved past “set it and forget it” deals 10:46 Clean supply, transparency, and standards expectations 12:33 How cancer changed Andrew's perspective on relationships and work 18:08 Advice for newcomers: resources, mentors, and using LinkedIn well 21:07 What Andrew is excited about heading into 2026 24:12 Closing and holiday sendoff Learn more about your ad choices. Visit megaphone.fm/adchoices

Today's show features: JR Toothman, Owner of Toothman Ford

 Amol Waishampayan, Co-Founder of Fullthrottle.ai Glenn Lundy, President of 800% Elite Auto This episode is brought to you by: Cars.com – the #1 most recognized automotive marketplace and the place shoppers turn for trusted expertise and a better way to compare vehicles. Unlike marketplaces that reduce everything to price, Cars.com automatically merchandises your inventory's most compelling features and accolades to highlight true value and help shoppers make confident buying decisions. Cars.com is the flagship offering from Cars Commerce, an audience-driven technology company simplifying everything about buying and selling cars. Learn more at https://www.carscommerce.inc/marketplace. Fullthrottle.ai – fullthrottle.ai® helps dealers, OEMs, and automotive agencies deliver laser-sharp, household-level omnichannel targeting with the first generative-AI powered automotive DSP — enabling identity-based reach and real-time bidding efficiency. We're also a proud partner of the Automotive Media Marketplace, bringing smarter, tierless activation to the industry. Meet our team at NADA 2026 at the Auto Media Marketplace Booth #1915W or at the V20 Booth #2001W. To learn more or book your demo, visit https://www.fullthrottle.ai/the-automotive-dsp/ CDG Circles – A modern peer group for auto dealers. Private dealer chats. Real insights — confidential, compliant, no travel required. Visit https://cdgcircles.com/ to learn more. Car Dealership Guy is back with our second annual NADA Party—happening in Las Vegas on Thursday, February 5th. It's the hottest ticket at NADA 2026. Spots are limited and unfortunately we can't invite everyone —so RSVP today at https://carguymedia.com/cdglive and we hope to see you in Vegas! -- Check out Car Dealership Guy's stuff: CDG News ➤ ⁠⁠⁠⁠⁠⁠https://news.dealershipguy.com/⁠⁠⁠⁠⁠⁠ CDG Jobs ➤ ⁠⁠⁠⁠⁠⁠https://jobs.dealershipguy.com/⁠⁠⁠⁠⁠⁠ CDG Recruiting ➤ ⁠⁠⁠⁠⁠⁠https://www.cdgrecruiting.com/⁠⁠⁠⁠⁠⁠ My Socials: X ➤ ⁠⁠⁠⁠⁠⁠https://www.twitter.com/GuyDealership⁠⁠⁠⁠⁠⁠ Instagram ➤⁠⁠⁠⁠⁠⁠ https://www.instagram.com/cardealershipguy/⁠⁠⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@guydealership⁠⁠⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/cardealershipguy/⁠⁠⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠⁠⁠https://www.threads.net/@cardealershipguy⁠⁠⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠⁠⁠https://www.facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠⁠⁠ Everything else ➤ ⁠⁠⁠⁠⁠⁠dealershipguy.com

This Podcast is sponsored by Team Simmer.Go to TeamSimmer and use the coupon code DEVIATE for 10% on individual course purchases.The Technical Marketing Handbook provides a comprehensive journey through technical marketing principles.Sign up to the Simmer Newsletter for the latest news in Technical Marketing.Latest content from Simo AhavaRun Server-side Google Tag Manager On Localhost Article Latest content from Juliana JacksonThe sin, the oil, the crack and the crisis ArticleSign up for a the very first Google x Jellyfish Cloud Talks event, 15th of January, Copenhagen - The very first event focused on the use of Google Cloud Technology & AI for Marketing.Huge thanks to TRKKN & Analytics Summit for having us over to do this in front of a fantastic audience, we had an amazing time.TRKKNAnalytics Summit This podcast is brought to you by Juliana Jackson and Simo Ahava.

Today I'm joined by Mark Altieri, EVP of Business Development at Zonic Design. We break down why fixed ops is still the most under-leveraged profit center in dealerships—and how communication gaps are quietly eroding customer loyalty. Mark explains how AI is reshaping customer engagement, why half of a dealership's DMS often sits untouched, and what operators can do to immediately improve retention. Clear takeaways, practical frameworks, and fast-changing tech insights make this a must-listen for every dealer. Have questions about how Zonic Design can help your service operations, reach out to Mark directly at mark@zonicdesign.com or find him on linkedin at https://www.linkedin.com/in/maltieri/ This episode is brought to you by: 1. Repair360 - If you're in the used car business, you know wasted time is wasted money. Check out Repair360—the first and only reconditioning software that connects every function in the dealership to tighten recon and help you sell more cars — No more hounding vendors. Goodbye endless texts and hallway chases. Repair 360 connects all the dots. See where every car is and what its recon is costing minute-to-minute in real time. Go to www.repair360.com 2. fullthrottle.ai® - fullthrottle.ai® is a next-generation AdTech powerhouse. The Automotive DSP™ is built specifically for the auto industry, combining advanced programmatic targeting, real-time bidding, and analytics tailored to drive dealership and OEM performance. With fullthrottle.ai®, marketers can reach the right car shoppers at the right moment and optimize toward real business outcomes like test drives, leads, or sales. fullthrottle.ai® bridges the gap between auto media buying and results-driven marketing. Check out http://fullthrottle.ai 3. Zonic Design - 28 years providing direct to dealer fixed operations solutions. Data • Print • Digital • Voice • AI, Removing the noise in pursuit of frictionless customer engagement. Learn more about BDC-Angel at https://zonicdesign.com Check out Car Dealership Guy's stuff: For dealers: CDG Circles ➤ ⁠https://cdgcircles.com/⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dealership recruiting ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgrecruiting.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Fix your dealership's social media ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.trynomad.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ For industry vendors: Advertise with Car Dealership Guy ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgpartner.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Topics: 00:06 Why are fixed ops so important? 00:28 What's the first impression in service? 02:38 Biggest challenge and opportunity in fixed ops? 06:10 How to improve dealership communication? 08:24 How can AI help service departments? 21:50 Tailoring communication strategies for different customers? 28:37 Final piece of advice for fixed ops? Car Dealership Guy Socials: X ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠x.com/GuyDealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠instagram.com/cardealershipguy/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tiktok.com/@guydealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/company/cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠threads.net/@cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Everything else ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

La batalla entre Netflix y Paramount por quedarse con Warner redefine el futuro del entretenimiento, desde la creación de contenido hasta el control publicitario y la cadena de producción. No solo es dinero: es quién moldeará qué vemos, cómo lo vemos y cómo se financia la industria global del streaming.Conviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/ia-aplicada-con-luisgyg--909634/support.Este episodio incluye contenido generado por IA.

Learn why human voices drive digital transformation. Alex Wunschel explains how voice builds trust, shapes culture, and makes leaders relatable. Get concrete tips to speak authentically, train voice skills, and embed audio into internal communication. Hear real examples and pitfalls to avoid in corporate podcasting. About Alexander Wunschel Alexander Wunschel is a founder, podcast pioneer, and producer with over 17 years of experience in the audio industry. He is the owner and executive of Klangstelle, a podcast company that offers the finest audio pieces from strategy and conception to production and marketing. He has produced and managed over 1.000 episodes in over 35 podcasts with about 8 million downloads and streams for clients such as Telekom, Fujitsu, Playboy, Starbucks, Datev, GAD, Microsoft, and many more. He is also a strategy consultant for digital media, a keynote speaker. He is passionate about the impact of sound, immersive and augmented audio, voice user interface, privacy, security, OSINT, MarTech, AdTech, meditation, and cooking. Resources  Klangstelle: https://www.linkedin.com/in/alexanderwunschel/ Please, hit the follow button and leave your feedback: Apple Podcast: https://www.cxgoalkeeper.com/apple Spotify: https://www.cxgoalkeeper.com/spotify Follow Gregorio Uglioni on Linkedin: https://www.linkedin.com/in/gregorio-uglioni/ Gregorio Uglioni is a seasoned transformation leader with over 15 years of experience shaping business and digital change, consistently delivering service excellence and measurable impact. As an Associate Partner at Forward, he is recognized for his strategic vision, operational expertise, and ability to drive sustainable growth. A respected keynote speaker and host of the well-known global podcast Business Transformation Pitch with the CX Goalkeeper, Gregorio energizes and inspires organizations worldwide with his customer-centric approach to innovation.

Today I'm joined by Todd Blue, Dealer Principal of Mercedes-Benz of Northern Arizona and CEO of LAPIS. We break down how luxury dealerships can truly differentiate in a crowded market and why direct customer engagement still drives outsized loyalty. Todd opens up about leverage, market cycles, and why he exited his business at its peak. We also explore what it really takes to elevate underperforming stores and thrive even when the economy turns. This episode is brought to you by: 1. fullthrottle.ai® - fullthrottle.ai® is a next-generation AdTech powerhouse. The Automotive DSP™ is built specifically for the auto industry, combining advanced programmatic targeting, real-time bidding, and analytics tailored to drive dealership and OEM performance. With fullthrottle.ai®, marketers can reach the right car shoppers at the right moment and optimize toward real business outcomes like test drives, leads, or sales. fullthrottle.ai® bridges the gap between auto media buying and results-driven marketing. Check out http://fullthrottle.ai 2. Uber for Business - With Central, you can request a ride on behalf of your customers even if they don't have the Uber app. If you're ready to reduce the costs associated with maintaining shuttles and limit the liability of loaner vehicles, it's time to partner with Uber. Visit @ http://t.uber.com/CDGauto today 3. CDG Circles - A modern peer group for auto dealers. Private dealer chats. Real insights — confidential, compliant, no travel required. Visit @ https://cdgcircles.com to learn more. Check out Car Dealership Guy's stuff: For dealers: CDG Circles ➤ ⁠https://cdgcircles.com/⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dealership recruiting ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgrecruiting.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Fix your dealership's social media ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.trynomad.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ For industry vendors: Advertise with Car Dealership Guy ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgpartner.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Topics: 00:15 How did Todd Blue's early life shape him? 00:41 Vanity plates: funniest or most memorable? 02:57 Why re-enter the car business? 13:54 Key to building a luxury empire? 20:22 How to handle ultra-wealthy clients? 25:03 Delivering a premium experience: how? 28:52 Secret to building a successful team? 32:29 Why sell a successful business? 46:35 Navigating economic uncertainty: best strategy? Car Dealership Guy Socials: X ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠x.com/GuyDealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠instagram.com/cardealershipguy/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tiktok.com/@guydealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/company/cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠threads.net/@cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Everything else ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Tal Shaked, Chief Business Officer and co-founder of Rise, joins AdTechGod to trace his unconventional path into ad tech, from early toolbar monetization to driving alternative revenue at Babylon and later helping grow IronSource through strategic acquisitions. He explains how Rise emerged as a necessary spin out ahead of IronSource's IPO, why the team first focused on web video and display, and how their Smart Auction Management platform uses machine learning to optimize pricing and supply paths at massive scale. Tal also shares what AI driven search shifts mean for publishers, why traffic shaping is becoming a core differentiator, and where agentic advertising could take creative, buying, and ops workflows in 2026. Takeaways Rise spun out of IronSource, and starting on the web turned into an advantage. SAM and traffic shaping are the core levers for auction and revenue lift. AI search is cutting web traffic, forcing publishers to adapt fast. Mobile monetization looks steadier, with upside in performance and commerce. Agentic ads will automate busywork while keeping relationships central. Chapters 00:00 Rise split from IronSource and made web first work. 19:10 SAM plus traffic shaping drive gains. 22:50 AI search is shrinking web traffic. 26:10 Mobile revenue is more stable. 31:00 Agentic ads automate tasks, relationships still win. Learn more about your ad choices. Visit megaphone.fm/adchoices

Russ Fradin sold his first company for $300M. He's back in the arena with Larridin, helping companies measure just how successful their AI actually is.In this episode, Russ sits down with a16z General Partner Alex Rampell to reveal why the measurement infrastructure that unlocked internet advertising's trillion-dollar boom is exactly what's missing from AI, why your most productive employees are hiding their AI usage from management, and the uncomfortable truth that companies desperately buying AI tools have no idea whether anyone's actually using them. The same playbook that built comScore into a billion-dollar measurement empire now determines which AI companies survive the coming shakeout.Timecodes: 0:00 — Introduction 2:15 — Early Career, Ad Tech, and Web 1.03:09 — Attribution Problems in Ad Tech & AI4:30 — Building Measurement Infrastructure6:49 — Software Eating Labor: Productivity Shifts8:51 — The Challenge of Measuring AI ROI14:54 — The Productivity Baseline Problem18:46 — Defining and Measuring Productivity21:27 — Goodhart's Law & the Pitfalls of Metrics22:41 — The Harvey Example: Usage vs. Value25:18 — Surveys vs. Behavioral Data28:38 — Interdepartmental Responsiveness & Real-World Metrics31:00 — Enterprise AI Adoption: What the Data Shows33:59 — Employee Anxiety & Training Gaps38:31 — The Nexus Product & Safe AI Usage42:08 — The Future of Work: Job Loss or Job Creation?44:40 — The Competitive Advantage of AI53:45 — The Product Marketing Problem in AI55:00 — The Importance of Specific Use CasesResources:Follow Russ Fradin on X: https://x.com/rfradinFollow Alex Rampell on X: https://x.com/arampell Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jay Sears, founder and CEO of Team Daya, discussed the organization's mission to build primary schools in remote areas, funded by contributions from the ad tech industry. Team Daya operates in five countries: Senegal, Malawi, Nepal, Nicaragua, and Guatemala. Sears emphasized the importance of community involvement, with local communities providing land and labor. The organization has completed 11 schools and aims to expand its impact. Sears also reflected on his career in ad tech, highlighting the need for leadership and the transformative power of AI in the industry. Timestamp: Podcasting Software and Initial Introductions 0:00 Introduction of Jay Sears and Team Daya 3:16 Challenges and Successes in Building Schools 12:58 Jay's Career Journey in Ad Tech 15:47 Leadership and Personal Growth 23:17 Impact of Team Daya's Work 24:51 Personal Reflections and Future Plans 30:47 Final Thoughts and Next Steps 33:11

In the fast-growing world of Software-as-a-Service (SaaS), competition for attention is fierce. Companies are constantly looking for ways to clearly explain their complex products, highlight value propositions, and build trust with users. Video marketing has become one of the most effective tools for SaaS brands to educate, convert, and retain customers. High-quality product demos, explainer...

Michael Berkowitz, a longtime ad tech veteran with experience at Spiny, BERT, Lotomy, and MediaMath, joins AdTechGod to share his journey from journalism to ad tech leadership. He reflects on the industry's transformation, the growing sophistication of publishers, and how innovation has shifted from the U.S. to Europe. Michael discusses the risks publishers face in adopting new technology, the overuse of AI in marketing, and his belief that meaningful solutions, not buzzwords, will drive the next phase of growth. He also introduces Ad Aid, his concept for a more purposeful ad experience that benefits users and supports charitable causes. Takeaways Michael's unique path from journalism and PR to ad tech has given him a deep perspective on media and technology convergence. Many European ad tech companies are now innovating beyond their U.S. counterparts. Publishers face challenges in adopting new tech due to risk aversion and complex decision-making structures. AI's current role in ad tech is largely overhyped; its true impact is still years away. The sell side remains essential to the ad tech ecosystem and deserves continued support. Ad Aid aims to create a more positive user experience by tying ad engagement to charitable contributions. Social media fatigue is helping publishers regain audience attention and rebuild trust. Experience in the industry remains valuable, even as age bias persists in hiring. The future of ad tech depends on balancing innovation with authenticity and audience respect. Chapters 00:00 Introduction to Michael Berkowitz 01:00 From Journalism to Ad Tech 03:30 Early Days at MediaMath and BERT 05:40 Identifying Promising Tech and Market Fit 08:13 Challenges Facing Publishers 11:20 Trust, Credibility, and the State of Local News 12:19 The Reality of AI in Ad Tech 16:30 The Problem with Buzzword Marketing 18:28 Optimism for the Sell Side 21:17 Experience and Longevity in the Industry 23:45 The Ad Aid Concept 27:47 Making Ads Meaningful for Users 30:27 Closing Thoughts and Hope for the Future Learn more about your ad choices. Visit megaphone.fm/adchoices

Plus: A tough week for the crypto market. And Jaguar Land Rover slumps to quarterly loss after cyberattack. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today's show features: Brian Benstock, Vice President & General Manager of Paragon Honda and Paragon Acura David Boice, Founder & CEO of Team Velocity Sanjay Varnwal, Co-Founder & CEO of Spyne.ai Danny Zaslavsky, Co-Founder and President of VINCUE This episode is brought to you by: Stream Companies – A full-service, fully integrated, tech-enabled advertising agency that drives measurable results through performance marketing, creative and content development, and proprietary AdTech solutions. Our innovative platforms, including the Retail Ready platform and Integrated Marketing Cloud, empower brands to optimize performance and accelerate growth. To learn more, visit ⁠⁠https://www.streamcompanies.com/⁠⁠ VINCUE – The company behind the innovative VINCUE Vehicle Lifecycle Management platform, unifying and streamlining the inventory Plan, Buy, Manage, and Sell process for higher efficiency and more profit in every car. VINCUE is designed exclusivel to help dealers modernize operations, acquire the perfect inventory mix, and price and merchandise with precision. https://vincue.com Team Velocity - Team Velocity helps dealerships deliver faster, smarter, and more connected customer experiences through fully integrated platform technology. From websites and advertising to retention solutions and a native CDP, Team Velocity provides the tools dealerships need to succeed in every stage of the customer journey. Visit https://teamvelocitymarketing.com/ for more information or to request a demo. Spyne.ai – Meet Vini by Spyne — your dealership's AI-powered Conversational Agent. Vini answers every call and chat, engages customers instantly, and uncovers hidden revenue in your CRM and inventory. Every missed opportunity? Found and converted. Learn more at http://spyne.ai/vini-cdg CDG Circles – A modern peer group for auto dealers. Private dealer chats. Real insights — confidential, compliant, no travel required. Visit ⁠⁠⁠⁠https://cdgcircles.com/⁠⁠⁠⁠ to learn more. Car Dealership Guy is back with our second annual NADA Party—happening in Las Vegas on Thursday, February 5th. It's the hottest ticket at NADA 2026. Spots are limited and unfortunately we can't invite everyone —so RSVP today at ⁠⁠⁠⁠https://carguymedia.com/cdglive⁠⁠⁠⁠ and we hope to see you in Vegas! — Check out Car Dealership Guy's stuff: CDG News ➤ ⁠⁠⁠⁠https://news.dealershipguy.com/⁠⁠⁠⁠ CDG Jobs ➤ ⁠⁠⁠⁠https://jobs.dealershipguy.com/⁠⁠⁠⁠ CDG Recruiting ➤ ⁠⁠⁠⁠https://www.cdgrecruiting.com/⁠⁠⁠⁠ My Socials: X ➤ ⁠⁠⁠⁠https://www.twitter.com/GuyDealership⁠⁠⁠⁠ Instagram ➤⁠⁠⁠⁠ https://www.instagram.com/cardealershipguy/⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠https://www.tiktok.com/@guydealership⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠https://www.linkedin.com/company/cardealershipguy/⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠https://www.threads.net/@cardealershipguy⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠https://www.facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠ Everything else ➤ ⁠⁠⁠⁠dealershipguy.com

On today's podcast episode, we discuss the three big questions surrounding Google in Q3 and beyond: How much of a competitor to Google Chrome is OpenAI's new browser, Atlas? What's the main takeaway from the remedies hearings about Google's ad tech business? And what's the significance of Google's first $100 billion quarter? Join Senior Director of Podcasts and host Marcus Johnson, Senior Director of Briefings Jeremy Goldman, and Principal Analyst Yory Wurmser. Listen everywhere, and watch on YouTube and Spotify.   To learn more about our research and get access to PRO+ go to EMARKETER.com   Follow us on Instagram at: https://www.instagram.com/emarketer/ For sponsorship opportunities contact us: advertising@emarketer.com For more information visit: https://www.emarketer.com/advertise/ Have questions or just want to say hi? Drop us a line at podcast@emarketer.com    For a transcript of this episode click here: https://www.emarketer.com/content/podcast-behind-numbers-big-3-questions-google-openai-atlas-ad-tech-hearings-100bn-quarter   © 2025 EMARKETER   Consumer attention is fragmented across multiple platforms and making informed advertising decisions is more critical—and complex—than ever. With Nielsen Ad Intel, you can streamline your strategy, minimize wasted spend, and identify opportunities to differentiate your brand, empowering you to stay ahead in an ever-changing market. Discover more today. www.nielsen.com

Today's show features: Alex Perdikis, CEO, Koons Motors, Inc. Michael Wood, GM of Jaguar Land Rover Chantilly Nick Huff, Used Car Director at Fred Martin Superstore This episode is brought to you by: Stream Companies – A full-service, fully integrated, tech-enabled advertising agency that drives measurable results through performance marketing, creative and content development, and proprietary AdTech solutions. Our innovative platforms, including the Retail Ready platform and Integrated Marketing Cloud, empower brands to optimize performance and accelerate growth. To learn more, visit ⁠https://www.streamcompanies.com/⁠ CDG Circles – A modern peer group for auto dealers. Private dealer chats. Real insights — confidential, compliant, no travel required. Visit ⁠⁠⁠https://cdgcircles.com/⁠⁠⁠ to learn more. Car Dealership Guy is back with our second annual NADA Party—happening in Las Vegas on Thursday, February 5th. It's the hottest ticket at NADA 2026. Spots are limited and unfortunately we can't invite everyone —so RSVP today at ⁠⁠⁠https://carguymedia.com/cdglive⁠⁠⁠ and we hope to see you in Vegas! — Check out Car Dealership Guy's stuff: CDG News ➤ ⁠⁠⁠https://news.dealershipguy.com/⁠⁠⁠ CDG Jobs ➤ ⁠⁠⁠https://jobs.dealershipguy.com/⁠⁠⁠ CDG Recruiting ➤ ⁠⁠⁠https://www.cdgrecruiting.com/⁠⁠⁠ My Socials: X ➤ ⁠⁠⁠https://www.twitter.com/GuyDealership⁠⁠⁠ Instagram ➤⁠⁠⁠ https://www.instagram.com/cardealershipguy/⁠⁠⁠ TikTok ➤ ⁠⁠⁠https://www.tiktok.com/@guydealership⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠https://www.linkedin.com/company/cardealershipguy/⁠⁠⁠ Threads ➤ ⁠⁠⁠https://www.threads.net/@cardealershipguy⁠⁠⁠ Facebook ➤ ⁠⁠⁠https://www.facebook.com/profile.php?id=100077402857683⁠⁠⁠ Everything else ➤ ⁠⁠⁠dealershipguy.com

Today's show features: Jeff Ramsey, CMO of Ourisman Auto Group Brian Kramer, EVP, Dealer Growth & Success at Cars Commerce Dustin Clark, CMO of Andy Mohr Auto Group This episode is brought to you by: Stream Companies – A full-service, fully integrated, tech-enabled advertising agency that drives measurable results through performance marketing, creative and content development, and proprietary AdTech solutions. Our innovative platforms, including the Retail Ready platform and Integrated Marketing Cloud, empower brands to optimize performance and accelerate growth. To learn more, visit https://www.streamcompanies.com/ CDG Circles – A modern peer group for auto dealers. Private dealer chats. Real insights — confidential, compliant, no travel required. Visit ⁠⁠https://cdgcircles.com/⁠⁠ to learn more. Car Dealership Guy is back with our second annual NADA Party—happening in Las Vegas on Thursday, February 5th. It's the hottest ticket at NADA 2026. Spots are limited and unfortunately we can't invite everyone —so RSVP today at ⁠⁠https://carguymedia.com/cdglive⁠⁠ and we hope to see you in Vegas! — Check out Car Dealership Guy's stuff: CDG News ➤ ⁠⁠https://news.dealershipguy.com/⁠⁠ CDG Jobs ➤ ⁠⁠https://jobs.dealershipguy.com/⁠⁠ CDG Recruiting ➤ ⁠⁠https://www.cdgrecruiting.com/⁠⁠ My Socials: X ➤ ⁠⁠https://www.twitter.com/GuyDealership⁠⁠ Instagram ➤⁠⁠ https://www.instagram.com/cardealershipguy/⁠⁠ TikTok ➤ ⁠⁠https://www.tiktok.com/@guydealership⁠⁠ LinkedIn ➤ ⁠⁠https://www.linkedin.com/company/cardealershipguy/⁠⁠ Threads ➤ ⁠⁠https://www.threads.net/@cardealershipguy⁠⁠ Facebook ➤ ⁠⁠https://www.facebook.com/profile.php?id=100077402857683⁠⁠ Everything else ➤ ⁠⁠dealershipguy.com

Today, special guest host Sam D'Arc is joined by Phil Pecoraro, Operating Partner at Murdock Chrysler Dodge Jeep Ram. We dig into Phil's first month running his new store — why he's returning to the same dealership where he earned his first GM role 16 years ago, how he's carrying forward the legacy of Larry H. Miller's final store, and much more. This episode is brought to you by: 1. CDK Global - Tune in October 21 at 11 a.m. CT for CDK's 5th annual CDK CONNECT, a virtual event packed with insights, innovations, and expert-led sessions. Featuring Rita Case, Sam D'Arc, and more. Register now or watch on-demand @ cdkglobal.com/connect 2. FullThrottle.ai - fullthrottle.ai® is a next-generation AdTech powerhouse. The Automotive DSP™ is built specifically for the auto industry, combining advanced programmatic targeting, real-time bidding, and analytics tailored to drive dealership and OEM performance. With fullthrottle.ai®, marketers can reach the right car shoppers at the right moment and optimize toward real business outcomes like test drives, leads, or sales. fullthrottle.ai bridges the gap between auto media buying and results-driven marketing. Learn more at https://www.fullthrottle.ai/ 3. Nomad Content Studio - Most dealers still fumble social—posting dry inventory pics or handing it off without a plan. Meanwhile, the store down the street is racking up millions of views and selling / buying cars using video. That's where Nomad Content Studio comes in. We train your own videographer, direct what to shoot, and handle strategy, to posting, to feedback. Want in with the team behind George Saliba, EV Auto, and top auto groups? Book a call at http://www.trynomad.co Check out Car Dealership Guy's stuff: For dealers: Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dealership recruiting ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgrecruiting.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Fix your dealership's social media ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.trynomad.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ For industry vendors: Advertise with Car Dealership Guy ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgpartner.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Topics: 00:41 Biggest challenge in the new acquisition? 02:58 How did the key partnership form? 07:53 Early sales lessons from vacuums? 11:12 Best team building and leadership advice? 13:37 Key to turning around a dealership? 21:55 Balancing brand and community involvement? 24:17 Digital vs personal customer experience? 27:58 How to achieve top dealer status? 36:56 Best used car acquisition strategy? Car Dealership Guy Socials: X ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠x.com/GuyDealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠instagram.com/cardealershipguy/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tiktok.com/@guydealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/company/cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠threads.net/@cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Everything else ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠