Podcasts about adtech

Achieving true cross-channel attribution remains an uphill battle as walled gardens restrict access to critical log-level data. Georgia Pacific's Vice President of Integrated Media and Brand Analytics, Javier Bustillos, reveals how his team combats these fragmentation challenges by accelerating in-house Marketing Mix Modeling and adopting a disciplined, test-and-learn approach to automation. Key Highlights

Ep. 208 - Kimberly is joined by Joe Ligé, co-founder of CultureHiveMedia, to discuss his journey from music production in St. Louis to revolutionizing the advertising technology space in Los Angeles. Joe shares the powerful inspiration behind CultureHive, sparked by a controversial global ad campaign that highlighted a massive gap in cross-cultural understanding. The conversation delves into how modern advertising is shifting from rigid demographic boxes to Gary Vee's concept of "interest media". Joe breaks down how CultureHive's proprietary Cultural Relevance Score (CRS) utilizes contextual, privacy-safe AI to help brands, creators, and businesses optimize their marketing, avoid costly cultural blind spots, and authentically connect with audiences based on shared values and interests.  Chapter Timestamps: 00:00 – Welcome & Joe Lige's Journey from St. Louis to LA 02:00 – Transitioning from Music to the Early Days of Ad Tech 04:15 – A Suit in West Hollywood: The LinkedIn Connection that Changed Everything 06:10 – The H&M Controversy & The Spark that Founded CultureHive 08:15 – Redefining Culture: Why It's Not Just a Demographic 10:30 – How the Cultural Relevance Score (CRS) Flags Offensive Content 12:20 – Lessons from Joe's Grandfather: "Learning to See Without Seeing" 15:00 – Moving Past the Demographics Box into "Interest Media" 17:40 – The Authentic Tortilla Problem: A Real-World Marketing Example 20:15 – Finding Your "Why" & The 3 Ds of Life (Desire, Determination, Dreams) 22:10 – Contextual Targeting vs. Personal Identifiable Information (PII) 24:00 – How the CultureHive Platform Optimizes and Executes Cross-Channel Campaigns 26:15 – Self-Serve Tools for Smaller Creators & Wrap Up Demo CultureHiveMedia Here: https://www.theculturehive.ai/ Follow CultureHiveMedia Here: https://www.instagram.com/culturehivemedia/ Follow Kimberly here: https://www.instagram.com/kimberlylovi/

In this episode of the AdTechGod Pod, Ray Adamson, Head of Solution Sales at DanAds, discusses the evolution of self-service advertising, automation in ad operations, and the publisher monetization strategies, and how AI is reshaping the future of ad tech. Learn how leading Publishers are unlocking new revenue streams and improving efficiency through self-service platforms. Takeaways Automation is becoming a business imperative in ad operations. DanAds helps publishers unlock new advertiser segments. Self-service complements sales teams rather than replacing them. Successful self-service programs require active promotion DanAds offers more than self-service technology AI is reshaping operational workflows The future belongs to creative media leaders and innovative ad tech partners. Chapters 00:00 Introduction to Ray Adamson and DanAds 01:25 Ray's Journey into Ad Tech and Career Evolution 03:55 How Ad Operations Have Changed Over the Years 05:50 What DanAds Brings to the Market 07:55 The Rise of Self-Service Advertising Platforms 08:33 Build vs. Buy: Publisher Self-Service Strategies 10:09 The Impact of Self-Service on Sales Teams 10:54 Expanding Revenue Through Long-Tail Advertisers 13:19 Common Misconceptions About Self-Service Advertising 15:05 Publisher Playbooks and Marketing Support 15:52 Integrations, Workflow Automation, and Monetization Services 17:57 Which Publishers Benefit Most from DanAds? 20:28 The Future of Ad Tech, AI, and Automation 22:43 Final Thoughts and Closing Remarks Learn more about your ad choices. Visit megaphone.fm/adchoices

Discover how the future of TV advertising is shifting toward outcome-based measurement and AI-driven optimization coming out of the 2026 upfronts . iSpot CEO Sean Muller joins the show to break down their fundamental "Creative + Audience = Outcome" equation, the integration of their new AI platform Sage, and why the industry must prioritize trusted, neutral data over ongoing currency debates. Key Highlights

Ilya Mikin is Vice President of Technology M&A at Corum Group, one of the leading technology M&A advisory firms globally. His background spans more than two decades across enterprise marketing at Intel and Unilever, executive and CEO roles at companies including iHerb, multiple founder exits across AdTech, MarTech, and FinTech, and now advising founders through acquisitions. He has been on every side of the M&A table, which makes his perspective unusually grounded.This episode gets into what has fundamentally changed about how technology and e-commerce companies are built, valued, and sold. The old playbook of raising VC money, growing at all costs, and gunning for IPO has largely collapsed. What replaced it is a market where M&A has become the primary liquidity event for founders, and where the rules for what makes a company attractive have shifted significantly.Eitan and Ilya dig into what acquirers actually look at today: why NRR, GRR, and low churn have become the cornerstones of valuation, why private equity now represents up to 40-50% of buyers in some sectors, and what it means to be an AI-native company versus an AI-enabled one. They also cover the mechanics of the M&A process itself — the four to eight week preparation phase, how Corum builds competitive tension among buyers, why the narrative around a business often matters more than the financials, and the internal deal killers that founders rarely talk about openly.Ilya also shares his take on where shoppable video sits in a world increasingly shaped by agentic AI, why he believes emotional product categories are protected from agent-driven purchasing, and what he is personally watching in the space. Founders who are building toward an exit, or who have never seriously thought about timing one, will find this conversation both practical and clarifying.Website: https://www.vimmi.netEmail us: info@vimmi.netCommerce Untold: https://vimmi.net/commerce-untold/Eitan Koter's LinkedIn: https://www.linkedin.com/in/eitankoter/YouTube: https://www.youtube.com/@VimmiVideoCommerce/featuredGuest: Ilya Mikin, Vice President Technology M&A, Corum Group, Ltd.Ilya Mikin's LinkedIn: https://www.linkedin.com/in/ilyamikin/Corum Group, Ltd.: https://www.corumgroup.com/Watch the full Youtube video here:https://youtu.be/2lFD9JXIjIgKey Takeaways:VC investment in D2C e-commerce collapsed more than 90% from its 2021 peak, while M&A deals in that same sector grew 47% in 2025 — the exit path has fundamentally shiftedIPO is no longer the default liquidity event for most founders; M&A is now the primary outcome to plan aroundAcquirers today prioritize NRR, GRR, and low churn over raw growth rate — the stickiness and profitability of your customer base drives valuation more than top-line momentumPrivate equity now represents up to 40-50% of buyers in some sectors, and PE buyers lead with EBITDA, not vision — a minimum of $2-3M ARR and $500K EBITDA is roughly where serious interest startsBeing an AI-native company can increase your valuation by 20-30% or more; for true AI-native businesses, multiples can reach up to 20x EVFor AI companies, proprietary data sets matter more than the technology itself — the model is the moatMarket consolidation follows a cycle: the first quartile of a consolidation window has the most buyers, the most competition, and the highest multiples. Waiting too long means the music stopsThe narrative you build around your company matters more than your financials in the early stages of a buyer conversation — buyers need to feel fear of missing outRunning a competitive process with multiple interested buyers is the single most powerful lever a founder has in an M&A negotiation — inbound interest from one buyer puts the founder in a weak positionDeal fatigue and co-founder misalignment are the two most common internal reasons M&A deals collapse before closingAgentic AI will likely commoditize purchasing for basic, emotionally neutral products — but shoppable video remains essential for fashion, luxury, and any category where emotional decision-making drives the purchaseMore than 20% of WallID's customers now come through AI search channels like ChatGPT, Gemini, and Claude, with zero marketing spend — a real signal of how discovery is changingChapters:[00:00] Introduction and Guest Background[00:57] Ilya's Path from Intel and Unilever to E-Commerce and M&A[02:07] How the Approach to Building and Exiting Startups Has Changed[03:29] Why VC Investment Collapsed and M&A Deals Are Rising[04:40] What Acquirers Actually Look at Today: NRR, GRR, and Profitability[05:58] The Rise of Private Equity as a Buyer and What PE Wants[07:20] How AI-Native Companies Command a Valuation Premium[08:47] Where E-Commerce Multiples Stand Today[10:32] The Sell-Side Process: Preparation, Positioning, and Narrative[12:06] The Consolidation Window and Why Timing Your Exit Matters[13:38] How Corum Prepares Founders for Market[14:17] Technology Evaluation: AI vs. Non-AI Companies[17:00] Building the Story, Outreach, and Creating Competitive Tension[20:02] How Long a Typical M&A Process Takes[21:44] Deal Fatigue and Co-Founder Misalignment as Internal Deal Killers[23:28] Shoppable Video and Agentic Commerce: Where Emotion Still Wins[26:09] WallID: Solving Checkout Friction and Fraud at Scale[28:13] Managing Multiple Ventures and the Side-Hustle Mindset[29:44] What Ilya Is Watching in E-Commerce Right Now: Know Your Agent[31:04] How to Connect with Ilya and Corum Group

Eric Franchi and Joe Zappa break down the biggest trends they're seeing in early-stage adtech deal flow, including the rise of chatbot and LLM ad networks, integrated marketing platforms, creator infrastructure, and a renewed wave of innovation around mobile apps. They discuss why mobile remains such an attractive market, what kinds of startups are emerging in each category, and where investors and operators are spending the most time right now. The conversation then shifts to the next phase of the Outcomes Era — where simply claiming “outcomes” is no longer enough and companies need differentiated data, supply, or technology to prove it.

Podcast: Tech TransformedGuest: Mihir Nanavati, GM and Product Executive in MarTech and AdTechHost: Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data JuiceAI might have overtaken the industry with processing data, automating workflows, and creating content. The next big thing could be a major one, says Mihir Nanavati, GM and Product Executive in MarTech and AdTech, “AI is moving from managing data to making decisions with it.”In the recent episode of the Tech Transformed podcast, host Doug Laney, Research & Advisory Fellow at BARC and Author of Infonomics & Data Juice, sat down with Nanavati to talk about a larger transformation in data and decision-making systems driven by AI.They particularly focus on the integration of agentic AI in marketing and customer data platforms. They explore the challenges of fragmentation in ad tech, the importance of connecting customer data to revenue outcomes, and the transformative role of AI in decision-making processes. Mihir shares insights on how companies can leverage AI to enhance their marketing strategies and the future of first-party data."This is not a cost exercise, it's about how much more you can get done and how many more ideas you can execute," said Nanavati.For years, enterprises went through waves of technological change, including cloud infrastructure, mobile platforms, and customer data platforms (CDPs). Each development helped enterprises collect, store, and manage larger amounts of data. However, Nanavati asserts that humans making most decisions will never change. Now, AI agents are introducing a new model.How AI has Moved from Data Navigation to Making DecisionsIn the past, customer data initiatives aimed to create a unified view of customers. Enterprises built warehouses, ETL pipelines, and data platforms that were designed to be reliable. However, Nanavati suggests that AI agents are changing these expectations. "Machines can reason, and that is fundamentally different."Rather than simply serving as another analytical feature in existing systems, AI agents are increasingly acting as decision-makers. They weigh trade-offs, learn from results, and execute plans based on specific goals.This change has significant implications for customer data platforms. CDPs are not just repositories for customer information now. Instead, they are becoming layers that enable intelligent actions."The role of customer data platforms is evolving into ‘how do you make meaning of this?'" While, decisions about which customer segment to target, which message to send, or which offer to present may increasingly be guided by AI-driven systems.What's the Fragmentation Problem in Modern AdTechWhile AI agents create new opportunities, Nanavati pointed out a persistent issue in the AdTech and MarTech ecosystem – fragmentation. Brands today tend to lean towards deploying multiple advertising and customer engagement platforms. These include social platforms, retail media networks, email tools, and specialised ad technologies. Each system may optimise effectively within its own space, but often fails to connect at the customer level.Nanavati calls it a "paradox of choice." "Each system is optimising locally for its own clicks and conversions, but none of that is coordinated at the consumer level."The result is a customer experience that many consumers notice, alluding to repeated retargeting for products they have already bought, irrelevant recommendations, or disconnected interactions across channels.As enterprises adopt AI agents, fragmented data environments may become an even bigger problem. AI systems can process information quickly, but they still rely heavily on context. "AI doesn't need perfect data in many cases, but it needs context."What's Next for Enterprise Tech?As AI adoption continues, Nanavati believes that successful enterprises will be recognised not by how many experiments they run, but by how fast they learn and use the results."Learn very rapidly. Then scale what you've learned." For leaders, this may require a stronger commitment than just isolated pilot programs or limited rollouts. It may also need organisational changes that place AI decision-making and customer context at the centre of growth strategies.For companies navigating the intersection of AI agents, CDPs, and customer data, the question may no longer be whether AI can automate processes. The ultimate question is about who is calling the shots.Key TakeawaysAI is fundamentally changing how decisions are made in marketing.The shift from third-party to first-party data is crucial for businesses.Fragmentation in ad tech leads to a paradox of choice for brands.Connecting customer data to revenue outcomes is essential for success.AI can help marketers make better decisions without needing perfect data.Customer data platforms are evolving to support real-time decision-making.Companies can run significantly more marketing experiments with AI.Leaders must personally drive change in their Enterprises.Successful AI implementation requires a focus on revenue outcomes.First-party data collection is becoming more sophisticated and essential.Chapters00:00 Navigating the Shift in Data and AI03:03 The Evolution of Decision-Making in Marketing05:55 Challenges of Fragmentation in Ad Tech09:00 Connecting Customer Data to Revenue Outcomes11:56 The Role of AI in Customer Data Platforms14:55 Real-World Applications of Agentic AI18:05 Blueconic's Approach to Customer Growth21:14 The Future of First-Party Data24:02 Building Habits for Successful AI ImplementationListen to the full episode of Tech Transformed for a deeper discussion on AI agents, customer data platforms (CDPs), first-party data strategies and the future of AdTech. Subscribe for upcoming episodes and join the conversation across our social channels.BlueConic LinkedIn: @BlueConicEM360Tech YouTube: @enterprisemanagement360EM360Tech LinkedIn: @EM360TechEM360Tech X: @EM360TechFor more information, please visit em360tech.com and blueconic.com.

This week on CMO Confidential, we're revisiting our conversation with Tom Goodwin from August of 2025 - this is one of our favorites with topics just as relevant to marketers today. Tom discusses his belief that today's CMO's are overly focused on efficiency versus marketing principles and that the contemporary playbook has been created by tech companies focused on performance metrics. Key topics include: -An unhealthy focus on the speed of measurement and short-term results-Marketers having a "feeling of vulnerability" if they haven't heard of new tech-The fact that many of the hyped direct-to-consumer brands like Casper and Ridge Wallets aren't actually doing that well Tune in to hear the underestimated impact of "beauty" and a story about being locked out of a self-driving car. This episode is sponsored by Typeface - the agentic AI marketing platform that turns one idea into thousands of on-brand assets. Learn more: typeface.ai/cmoSubscribe for weekly episodes featuring world-class marketing leaders, board members, and C-Suite executives. ⏱️ Chapters00:00 – Intro: Meet Tom Goodwin02:28 – Would 1950s Marketers Beat Today's CMOs?05:41 – Is Marketing Actually More Complex Today?09:15 – Fundamentals vs Growth Hacking & Performance Tactics11:05 – DTC vs Traditional Brands: What Actually Works15:13 – Short-Term Metrics, AI Hype & Tech Overload28:36 – Dark Social, Hidden Influence & What Data Misses34:21 – Predictions, AI Reality & The Power of Simplicity #MarketingStrategy, #CMOConfidential, #TomGoodwin, #BrandMarketing, #DigitalMarketing, #PerformanceMarketing, #MarketingFundamentals, #GrowthMarketing, #Advertising, #MarketingTrends, #AIinMarketing, #FutureOfMarketing, #CreativeStrategy, #CannesLions, #AdTech, #BrandBuilding, #ConsumerBehavior, #DirectToConsumer, #MarketingLeadership, #MarketingInsightsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Let's know what you liked and learnt! What does it really take to become a modern CMO?In this episode of The Super CMO Show with Swami, Megha Agarwal shares why she calls herself a “non-traditional CMO” — one who goes beyond brand campaigns to think about growth, monetization, P&L, consumer obsession, and business building.Drawing from her journey across Table Space, WeWork, Unilever and CavinKare Megha speaks about startup chaos, building categories from scratch, the future of agencies, creativity in the AI era, mentorship, leadership, and why marketers must constantly reinvent themselves. A sharp, insight-packed conversation on what marketing leadership truly demands today.About MeghaMegha Agarwal is a marketing leader, growth strategist, and business builder with close to two decades of experience across FMCG, consumer brands, startups, and enterprise workspaces. Currently the Chief Marketing Officer at Table Space, she has built her career at the intersection of brand building, growth, customer experience, and business transformation.⭐ 5 Key TakeawaysThe modern CMO must understand business, not just marketing: Megha argues that marketers who do not understand P&L, monetization, and cross-functional business impact risk becoming irrelevant in today's environment.  Consumer obsession is still the strongest competitive advantage: One of her biggest learnings from  was that true marketing begins with deeply understanding consumers — not through dashboards, but through immersion, humility, and lived observation.  Building brands from scratch requires a completely different mindset: Moving from FMCG to startups taught her that scaling brands is very different from creating foundational systems, processes, tools, and teams from zero.  AI will commoditize marketing science — creativity becomes the differentiator: As AI automates research, analytics, and execution, original thinking, creativity, and human insight will become the most valuable capabilities for marketers.  Sustainable growth requires support systems, not perfection: Megha challenges the myth of perfect work-life balance, emphasizing intentional trade-offs, communication, asking for support, and building ecosystems both at work and at home. ⏱️ Timestamps00:03:20 — Why Old-School Marketing Thinking Is Breaking Down00:09:50 — Brands Are Built in Years, Judged in Quarters00:12:17 — Nobody Prepares You for Real Decisions00:13:54 — The Consumer Is Still the Most Important Person in the Room00:18:01 — Big Brands Cannot Afford Recklessness00:20:59 — Building Is More Exciting Than Managing00:23:21 — Growth Fails Without Foundations00:25:49 — You Cannot Scale Chaos Forever00:28:19 — Big Companies Hide How Difficult Things Really Are00:31:52 — Most Career Limits Exist Only in the Mind00:39:24 — Execution Is Common. Thinking Is Rare.00:41:45 — The Future Belongs to Hungry Agencies00:44:35 — AI Makes Creativity More Valuable, Not Less00:47:31 — Perfect Balance Is a Myth00:53:41 — The Best Mentors Don't Give Answers00:57:44 — Your Strengths Matter More Than Your Weaknesses01:00:25 — AI Can Analyze Consumers. It Cannot Love Them.01:02:39 — The Best Marketers Constantly Reinvent ThemselvesThis episode was made possible by the great folks at MovingWalls. Moving Walls provides a global Adtech platform built by Out-of-home advertising experts, automating the process of planning, buying, executing and measuring OOH campaigns, with a presence across four continents and seven markets. Visit https://www.movingwalls.com to learn more.

In this episode, we dive into the challenge of rising customer acquisition costs and how smart online brands use first-party data to stay competitive. Tiago Costa, CEO of clustie.ai, shares how his platform uses artificial intelligence to predict high-value buyers and automatically improve ad results on Facebook and Meta channels. He is joined by brand owner Raphael Tomé, who explains how he used this tech to cut his ad costs, boost his profits, and quickly scale his e-commerce business. Topics discussed in this episode:  How AI simplifies building and launching online stores today. What metrics to fix before you try to scale ad spend.Why single-product shops are growing quickly in the US.Why traditional marketing agencies fail to scale ad results.How audience intelligence tools lower customer acquisition costs.What problems occur when running too many active ad campaigns.How syncing Shopify data with Meta improves targeting precision.Why human support remains critical alongside AI software tools.What product-audience matching does for specific item sales.How to scale products internationally using predictive data models.Links & ResourcesWebsite: https://clustie.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/56sr2z44I'd love your feedback. Tap the the link to send me a text. ______________________________________________________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/

How much did Publicis acquire LiveRamp for? What percentage of UK digital advertising businesses are using AI? What figure is Meta's ad revenue projected to hit in 2026?In this quiz edition of The MadTech Podcast, ExchangeWire's head of marketing is joined by John Still, head of content, and COO Lindsay Rowntree, with an all-time score of 3-0. The first story this week is Publicis Groupe acquiring data collaboration platform LiveRamp. The team discusses what this means for the industry and the agentic opportunities it presents for the agency holding group. The second explores the pace of AI adoption in digital advertising, and the regulations needed alongside its rapid acceleration. Finally, they examine Meta's ad revenue growth, which is projected to rise in 2026 before slowing in 2027, and the possible reasons behind those figures.*Lindsay was referring to Meta's Advantage+, not Automated+0:00 Introduction1:12 How much did Publicis acquire LiveRamp for?11:06 What percentage of UK digital advertising businesses are using AI?23:25 What figure is Meta's ad revenue projected to hit in 2026?

MadConnect CEO Bob Walczak joins Eric Franchi and Joe Zappa to break down why Publicis' acquisition of LiveRamp is one of the most important adtech deals in years and what it reveals about the future of the industry. They discuss why connectivity and interoperability have become so strategically valuable, why Publicis made such an aggressive move from a position of strength, and what this deal says about the growing pressure on holdcos to own more of the advertising stack. The conversation also explores whether this signals a broader acceleration of adtech M&A and what the other holdcos may do next.

Welcome to the CanadianSME Small Business Podcast, hosted by Kripa Anand. Today, we explore how publishers can adapt to a changing AdTech landscape where intent, automation, and trust now define revenue growth. Joining us is Gromyko Jison Jr., Head of Search Monetization at MonetizeMore. Gromyko shares how publishers can build scalable monetization systems while protecting revenue and improving performance. Key Highlights Scaling AdTech: Gromyko explains how publishers can evolve beyond basic ad setups. Intent-Based Monetization: Gromyko shares how search intent is replacing cookie tracking. Protecting Revenue: Gromyko highlights strategies to reduce invalid traffic and bot activity. AI and Monetization: Gromyko explains how AI improves automation and ROI tracking. Publisher Perspective: Gromyko shares how hands-on publishing experience shapes better strategy. Special Thanks to Our Partners: UPS: https://solutions.ups.com/ca-beunstoppable.html?WT.mc_id=BUSMEWA ADP Canada: https://www.adp.ca/en.aspx For more expert insights, visit www.canadiansme.ca and subscribe to the CanadianSME Small Business Magazine. Stay innovative, stay informed, and thrive in the digital age! To learn more about how we are supporting the ecosystem, please visit the CanadianSME Small Business Foundation at smbfoundation.ca. Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation.

Most adtech companies' no. 1 messaging challenge is focus. Joe Zappa goes solo to explain why the hardest part of messaging isn't writing, but choosing one clear, differentiated idea instead of a list of everything you do. He breaks down why “omnichannel DSP/SSP driving outcomes” fails, how companies get trapped competing inside crowded categories, and what it takes to build a provocative narrative that actually sticks. If you want to be remembered and command attention, here is a three-step playbook.

In this episode of Backstory on Marketing and AI, we discuss the future of digital advertising, consumer privacy, and AI enabled Market Research.The conversation explores how marketers use AI-driven targeting, consumer identity systems, and personalization tools to improve advertising performance.We also discuss:AI and Marketing trendsConsumer privacy challengesCookie consent fatiguePersonalized advertisingGDPR and CPRA regulationsAI enabled Market ResearchLookalike audience targetingThe future of chatbot advertisingConsumer data ownershipAd tech innovationThis episode explains why trust and transparency are becoming essential for modern marketers.You will also learn how AI can help brands optimize campaigns while improving customer experiences.The discussion highlights how consumers may gain more control over how companies use their personal data.This is a must-watch episode for marketers, advertisers, business leaders, and technology professionals.

Diarmuid Gill and Liva Ralaivola of Criteo join Nathan Labenz to unpack how modern ad tech works, from millisecond-speed recommendation systems and realtime bidding to the role of deep learning, embeddings, and foundation models. They discuss why personalized advertising helps fund the open internet, how privacy and opt-out choices fit in, and what Criteo's new partnership with OpenAI could mean for product discovery. The conversation also covers European AI talent, research publishing, and the future of generative creative in advertising. Sponsors: Sequence: Sequence handles the full revenue workflow for complex pricing, from quoting and metering to invoicing, revenue recognition, and collections. Book a public demo at https://sequencehq.com and use code COGNISM in the source field to save 20% off year one Claude: Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr AvePoint: AvePoint is building the control layer for AI agents so you can securely govern, audit, and recover every action at scale. Design trusted agentic outcomes from day one at https://avpt.co/tcr

In this episode of the Programmatic Digest, Manuela Cortes sits down with Eric Tilbury, Head of Programmatic and Solutions Engineering at Anuvo, to discuss the evolution of ad tech and the industry's shift away from traditional identity-based targeting. With over 14 years in the space, Eric shares insights from his unique background working on both the supply side (monetization) and the buy side, explaining how balancing the needs of both publishers and advertisers has shaped his perspective on the ecosystem. The conversation highlights a major flaw in current programmatic practices: the over-reliance on fragmented user IDs, which Eric argues leads to low match rates and provides a massive "merry-go-round" for ad fraud. The heart of the discussion focuses on Anuvo's proprietary solution, the Intent Key. Eric explains why they chose to move away from tracking IDs to instead focus on modeling content and intent in real-time. By using language-based signals and custom intent models, advertisers can reach relevant audiences without the latency or privacy concerns associated with the "cookieless boogeyman". Manuela and Eric also dive into the complexities of CTV and in-app advertising. Eric shares why targeting based on geo-relevance (zip codes) and content genres is often more accurate than using unstable IPs or IDs, which he notes are only present in about 30% of CTV inventory. He stresses the importance of Supply Path Optimization (SPO) to ensure buyers are reaching real human audiences in high-impact environments rather than wasting budget on "refrigerator ads". They close the conversation with a look toward an "agentic future," where AI agents facilitate deeper strategic decisions, and Eric underscores the necessity for buyers to actively optimize their data points to ensure programmatic remains an effective, high-value channel.  

A sensor that can simultaneously capture depth and image data has long been a "holy grail," Ouster CEO Angus Pacala told TechCrunch. Also, Virginia and Washington D.C. paused the data collection and sharing, after Bloomberg's investigation found their health insurance marketplaces were sharing users' information with advertisers. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dok su svi sanjali o Silicijumskoj dolini, on je odlučio da osvoji Afriku.

Headlines say ad tech M&A is down. We read the actual report. The story is more nuanced — and the two deals we're covering this week prove the lower middle market is still moving fast.Christian and Ayelet are back for Deal Review Friday with a market data deep dive and two deals that just closed — a partner-first aqui-hire by Amex that's been in the works since 2024, and the final piece of a three-part sequenced build by Viant that's been two years in the making.Two deals. One market correction. Still under 20 minutes.⏱️ TIMESTAMPS0:00 — Happy Friday, conference circuit recap (Jaggly Leonis + Own It Women's Summit)1:00 — Market insight: Luma Partners says ad tech M&A is down. Are they right?2:30 — Breaking down the data: sub-$100M vs. $100M+ deal activity by category3:45 — Ad tech, martech, digital content — what's actually moving and what's not5:00 — The sub-$50M thesis: where Christian and Ayelet think the real action is6:10 — Deal #1: Amex acquires Hyper (HyperCard) — agentic AI expense management7:17 — The Hyper investor roster: Sam Altman, former MasterCard CEO, Netflix co-founder8:00 — How this fits Amex's expense management platform launch later this year9:00 — Center (2025) gave them the workflow. Hyper gives them the AI agent layer.9:45 — Amex's direct play on Concur, Ramp, and Brex10:10 — Was this an acqui-hire? Christian's take on the deal structure10:44 — Deal #2: Viant acquires TVision Insights for $40M12:00 — The trifecta: Iris TV (content) + Locker (identity) + TVision (attention)13:18 — The data exclusivity question — and why this deal is different from Iris TV13:58 — Props to Eric Stearns, Viant Head of Corp Dev — first deal in seat14:22 — Deal economics: 4x revenue, $22.5M cash, clean balance sheet15:36 — TVision raised at $80M valuation, sold for $40M — the cap table math16:00 — Wrap + episode drops: Ep. 56 (AI Agents) and Scott Wingo episode incoming

What was the minimum spend commitment from advertisers on ChatGPT ads? Which marketing spend category was the standout performer in Q1 of 2026? What is the percentage of active social media users in the UK in 2026?In this quiz edition of The MadTech Podcast, ExchangeWire's head of marketing, Grainne Reid, is joined by COO Lindsay Rowntree and head of content, John Still. They look into advertising on AI platforms, the latest IPA Bellwether Report, and the decline of social media use in the UK.---0:00 Introduction1:05 Price drops for ChatGPT ads9:51 IPA Bellwether Report: Q1 2026 marketing spend20:36 Active UK social media users decreasing

"With AI, it should bring down the barriers to how you quickly adopt new software without having to become masters of the software." When StackAdapt started with its adtech solution, competition was fierce and investors didn't see the opportunity. A decade later, StackAdapt is one of Canada's largest and most profitable private companies. CEO and co-founder Vitaly Pecherskiy joins to discuss how that happened, and why AI has changed B2B software development. The BetaKit Podcast is presented by BetaKit Most Ambitious: Town Hall, the marquee opening event of Toronto Tech Week 2026. Taking place on May 25 at the iconic TIFF Lightbox, BetaKit Most Ambitious: Town Hall will bring together over 500 leaders from across Canada's tech and innovation ecosystem for meaningful conversations about strengthening the nation's autonomy, security, and prosperity. Get your tickets today before they sell out. -- The BetaKit Podcast is presented by The BetaKit Newsletter: BetaKit's flagship newsletter. Every Sunday, The BetaKit Newsletter serves up in-depth analysis and insights on Canadian tech and innovation news, piping hot and straight to your inbox. Your inbox deserves better, and so do you. Stay informed on all things Canadian tech by signing up for The BetaKit Newsletter today.

Personalized ads outperform generic ones. But the effect is smaller than most marketers expect, and the hidden costs can quietly undercut your brand.This episode, Elena, Angela, and Rob dig into a meta-analysis of 53 studies on ad personalization and what the research actually says about when it works. They're joined by Chief Analytics Officer Matt Hultgren and Director of AI Audio Josh Wilson to discuss the real tradeoffs of personalization and why a new tool called the Mass Customizer could change what's possible for TV advertisers.Topics covered:[01:00] What the meta-analysis reveals about personalization's modest impact[03:00] The reach trap and why narrowing audiences shrinks mental availability[06:00] Why marketers overestimate audience differences[09:00] How to test personalization cleanly using geography and control groups[14:00] Traditional roadblocks in TV production when scaling creative versions[18:00] How the Mass Customizer uses AI to swap voiceover and graphics at scale[21:00] Why CTV breaks the false choice between mass reach and customization  To learn more, visit marketingarchitects.com/podcast or subscribe to our newsletter at marketingarchitects.com/newsletter.  Resources: Yeo, T. E. D., Chu, T. H., & Li, Q. (2025). How Persuasive Is Personalized Advertising? A Meta-Analytic Review of Experimental Evidence of the Effects of Personalization on Ad Effectiveness. Journal of Advertising Research, 65(4), 616–631. https://doi.org/10.1080/00218499.2025.2467763Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.

Every company wants an AI-powered product. So what do they all look like? From A/B testing and media optimization to agentic interfaces for customers, we give a rundown on AI's most popular applications in ad tech.

Marketers are being told to stop buying media on CPM. But is that actually good advice?This week, Elena and Angela are joined by Chief Media Officer Catherine Walstad and Chief Analytics Officer Matt Hultgren to dig into one of advertising's most debated metrics. Together, they break down why CPM still matters, where the low-CPM-equals-bad-media logic breaks down, and what actually signals media quality.Topics covered:[01:30] Research on the true cost of dull media[06:00] Why TV outperforms digital on cost per attentive second[07:00] Should marketers stop buying on CPM?[11:00] Where low CPM signals bad inventory, and where it doesn't[16:00] How to identify high-quality media[21:00] Why CPM is king at Marketing Architects[25:00] How to design a test to challenge your CPM assumptions To learn more, visit marketingarchitects.com/podcast or subscribe to our newsletter at marketingarchitects.com/newsletter.Resources: Think TV/Eat Big Fish/Amplified Report: https://thinktv.ca/research/the-eye-watering-cost-of-dull-media/Elliot Wright Article: https://mediacat.uk/whats-holding-tv-back-culture-not-effectiveness/Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.

Marketecture CEO Jeremy Bloom joins Eric Franchi and Joe Zappa to discuss why he left the operating side of adtech to build a media company and what's driving the shift toward founder- and practitioner-led media. They break down what traditional coverage gets wrong, the opportunities and challenges of operator-driven content, and Marketecture's strategy behind acquiring properties like AdTechGod and AdLand. Jeremy also weighs in on what makes certain creators break through and how founders should navigate the new media landscape.

The NewFronts, digital video's week of splashy sales pitches, is in full swing. Our reporters share what they learned on the ground. Plus: What can ad tech learn from Data, a new off-Broadway play?

SaaS stocks are being routed in the public markets, and onlookers are wondering whether the same applies to adtech. In essence, the thinking goes, "Can't SaaS customers just vibe-code an alternative in-house and save millions on enterprise software?" Viant co-founders Chris and Tim Vanderhook explain the thinking behind the SaaSpocalypse, whether it applies to adtech, how investors should respond, and what entrepreneurs need to do to drive, not be overcome by, innovation. Plus, Eric and Joe share an announcement.

Terence Kawaja, founder and CEO of LUMA Partners, took the stage live at Marketecture Live to break down the collision of AI and advertising with his signature mix of candor and sharp analysis. While acknowledging the uncertainty ahead, he made one thing clear: the industry is moving fast from AI hype to real, measurable impact, and the winners will be the ones who prove it in their numbers. Takeaways Show me the money for AI in 2026 Advertising will fuel LLMs Shift from CPM to performance-based models Intent data is the most valuable signal Rise of the LLM ad ecosystem AI-driven transparency in media buying Creative as a performance driver Ad tech consolidation Agility is the key skill set New entrants reshaping the industry Chapters 00:00 Introduction from Marketecture Live 00:48 Why “No One Knows” What Happens Next in AI + Ads 02:11 Prediction #1: AI Hype vs. Real Financial Results 05:06 Prediction #2: Ads as the Core LLM Business Model 06:32 Prediction #3: The Shift to Performance & Intent Based Ads 09:46 Prediction #4: The LLM Ecosystem Opportunity 11:45 Prediction #5: Transparency vs. Agency Economics 13:23 Prediction #6: The Push for AI Standards 14:28 Prediction #7: Creative as the New Performance Lever 16:04 Prediction #8: Ad Tech Consolidation & Evolution 17:39 Prediction #9: Agility as the Ultimate Advantage 19:11 Prediction #10: New Entrants & M&A Wave 20:14 Bonus Prediction & Closing Learn more about your ad choices. Visit megaphone.fm/adchoices

Sign up to our FREE workshop on March 31st:  Optimization with AI for Programmatic Traders Site Lists + Geo Insights (DMA) — from Pivot Tables to Prompts In this episode of Programmatic Digest, Hélène Parker sits down with Assetou Kone, programmatic expert and consultant, for a real conversation about resilience in programmatic advertising and agency life. Assetou shares her journey into ad tech, from studying political science and mass communication to discovering programmatic during a digital marketing bootcamp. What started as a curiosity about digital media quickly became a career built on solving complex marketing problems across multiple verticals, including political campaigns, retail, e-commerce, banking, and pharmaceutical brands. The conversation dives into the softer skills that often determine long-term success in programmatic, including active listening, observation, and understanding the internal structure of the organisations you work within. Assetou explains why knowing how a company operates and who influences decisions can dramatically improve how traders execute campaigns and support client goals. Hélène and Assetou also unpack the reality of agency work, including burnout, under-resourced teams, and the pressure traders face when managing dozens of campaigns at once. They discuss why deep work is essential for campaign optimisation, insights, and meaningful reporting, and why many agencies underestimate the time required to generate true strategic value from programmatic data. The episode also explores what resilience actually looks like for traders and buyers, from documenting your work and protecting yourself with clear communication to learning from campaign mistakes and using those lessons to grow stronger in the role. They close the conversation with thoughts on the future of AI in programmatic, highlighting how automation could relieve traders of repetitive tasks while allowing them to focus on insights, strategy, and deeper analysis.  

At what figure did Axel Springer acquire the Telegraph? What percentage of ads served on ChatGPT were retail and grocery related? How many children are taking part in the UK's trial for a potential social media ban?In this quiz edition of The MadTech Podcast, ExchangeWire editor Aimee Newell Tarín is joined by COO Lindsay Rowntree and John Still, head of content. They look into M&A in publishing, advertising in AI, and social media restrictions for under-16s.0:00 Introduction1:06 Axel Springer acquires the Telegraph11:31 ChatGPT's ads trial28:29 UK trials social media restrictions

WIth consumers increasingly skeptical of advertising, what's the real difference between a brand that's being genuinely helpful and one that's just being creepy?Agility requires brands to not just react to consumer behavior, but to anticipate it with smarter technology. It's about shifting from broad assumptions to a nuanced understanding of intent, especially when economic uncertainty changes the rules of engagement.Today we are here at eTail Palm Springs, and we're going to talk about the evolution of performance marketing in an era of signal loss and consumer uncertainty. As traditional methods like third-party cookies fade away, marketers need new tools and strategies that are not just incrementally better, but fundamentally different in their approach to engaging customers and driving results.To help me discuss this topic, I'd like to welcome back to the show Jaysen Gillespie, Global Head of Analytics and Product Marketing at RTB House. About Jaysen Gillespie Jaysen Gillespie is a seasoned product and analytics leader with over 15 years in Adtech and data science. As VP of Global Product Commercialization and Analytics at RTB House, he's known for translating insights into simple narratives that marketers can actually use. Whether guiding global teams or speaking on stage, Jaysen has a knack for making performance results understandable and immediately relevant. His focus is always on what drives real business outcomes, not just what looks good on a dashboard. For him, data is only powerful when it leads to smarter decisions and measurable impact. Jaysen Gillespie on LinkedIn: https://www.linkedin.com/in/jaysengillespie/ Resources RTB House: https://www.rtbhouse.com Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://aglbrnd.co/r/c43e68ce5cfb321e The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703 Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://aglbrnd.co/r/d15ec37a537c0d74 Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716ba Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

WIth consumers increasingly skeptical of advertising, what's the real difference between a brand that's being genuinely helpful and one that's just being creepy? Agility requires brands to not just react to consumer behavior, but to anticipate it with smarter technology. It's about shifting from broad assumptions to a nuanced understanding of intent, especially when economic uncertainty changes the rules of engagement. Today we are here at eTail Palm Springs, and we're going to talk about the evolution of performance marketing in an era of signal loss and consumer uncertainty. As traditional methods like third-party cookies fade away, marketers need new tools and strategies that are not just incrementally better, but fundamentally different in their approach to engaging customers and driving results. To help me discuss this topic, I'd like to welcome back to the show Jaysen Gillespie, Global Head of Analytics and Product Marketing at RTB House. About Jaysen Gillespie Jaysen Gillespie is a seasoned product and analytics leader with over 15 years in Adtech and data science. As VP of Global Product Commercialization and Analytics at RTB House, he's known for translating insights into simple narratives that marketers can actually use. Whether guiding global teams or speaking on stage, Jaysen has a knack for making performance results understandable and immediately relevant. His focus is always on what drives real business outcomes, not just what looks good on a dashboard. For him, data is only powerful when it leads to smarter decisions and measurable impact. Jaysen Gillespie on LinkedIn: https://www.linkedin.com/in/jaysengillespie/ Resources RTB House: https://www.rtbhouse.com Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://aglbrnd.co/r/c43e68ce5cfb321e The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703 Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://aglbrnd.co/r/d15ec37a537c0d74 Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716ba Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

In this episode of the AdTechGod Pod, Alyssa Furth, Senior Manager at Credera, shares her journey in the marketing and technology sectors. She discusses her intentional path into the industry, her experiences at Horizon Media, and the importance of bridging the gap between AdTech and MarTech. Alyssa emphasizes the challenges of data integration and the need for a cohesive understanding of the customer journey. Additionally, she addresses the unique challenges women face in tech and the importance of confidence and community support. Takeaways Alyssa has been intentional about her career in marketing. She credits her success to strong female leaders in her early career. The industry is undergoing significant transitions, especially in data and technology. Bridging AdTech and MarTech is crucial for effective marketing strategies. Data integration is a major challenge for marketers today. Alyssa emphasizes the importance of understanding the customer journey. Women in tech face unique challenges but can find support in community. Confidence is key in navigating the tech industry. Asking questions is essential for learning and growth. Alyssa enjoys breaking down complex problems into manageable solutions. Chapters 00:00 Introduction to Alyssa Furth and the Podcast 02:28 Alyssa's Journey into AdTech and MarTech 13:04 Bridging AdTech and MarTech 17:50 Challenges in Data Integration 19:43 Alyssa's Career Insights and Personal Growth 21:53 Being a Woman in a Male-Dominated Industry Learn more about your ad choices. Visit megaphone.fm/adchoices

My newsletter: https://simonowens.substack.com/   In 2004, Eric Hochberger co-founded Mediavine, which would eventually become one of the most influential ad management companies on the open web. The company didn't start as an ad tech firm — it began as a scrappy collection of SEO-fueled fan sites, built by three founders chasing traffic in the early blogosphere. While selling $50 sidebar ads and offering SEO consulting services, Eric and his partners learned firsthand how fragile and inconsistent early digital advertising could be. That experience ultimately pushed Mediavine to build its own header bidding system in 2014, a move that quadrupled the company's ad revenue and transformed it from a publisher into an ad management platform. Today, Mediavine represents roughly 17,000 publishers and operates with a 140-person team, primarily serving independent creators rather than legacy media brands. In a recent interview, Eric pulled back the curtain on how programmatic advertising actually works, why "made-for-advertising" sites are siphoning off industry dollars, and how Google's AI Overviews are reshaping traffic patterns — sometimes wiping out entire businesses overnight.  

Taylor Bloom is a partner at Baker & Hostetler LLP with significant experience operating at the intersection of law, technology and business, with a keen focus on international data protection, data privacy and governance. A certified privacy professional (CIPP/E, CIPP/US and CIPM) and the former in-house counsel at an advertising technology company, Taylor's diverse strengths include coordinating and leading the implementation of global privacy and data security policies and programs; advising on compliance issues, negotiating agreements with vendors and business partners; and maintaining a deep knowledge of the advertising technology ecosystem and related privacy issues, including those surrounding geolocation and cross-device tracking interest based advertising practices. Taylor brings this experience to advising clients on the California Consumer Privacy Act (CCPA), California Privacy Rights Act (CPRA), the Virginia Consumer Data Protection Act (VCDPA) and the Colorado Privacy Act (CPA).References:* Taylor Bloom at Baker & Hostetler LLP* Taylor Bloom on LinkedIn* California Won't Let It Go: Attorney General Bonta Announces $2.75 Million Settlement with Disney, Largest CCPA Settlement in California History (February 2026)* Attorney General Bonta Announces Largest CCPA Settlement to Date, Secures $1.55 Million from Healthline.com (July 2025)* Seneca: MarTech & AdTech Privacy Case Law Research (TODO.LAW) 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 of ADSN, James and Daniel follow the money. We break down the new monetization plays and where dollars are starting to flow. Including how Gemini and Amazon's Rufus are already printing billions, Snap embracing even more creator monetization, and what Web 4.0 means for revenue and payments, and much more.Bryan Kim, partner at Andreessen Horowitz, joins the show to talk about why adtech is having a moment again, how AI is ushering in a new era of engagement and distribution, and where the future is heading.STAY CONNECTEDJAMES Twitter –⁠ /jamesborow⁠ LinkedIn —⁠ /jamesborow⁠DANIEL Instagram —⁠ /danieldruger⁠ TikTok —⁠ /danieldruger⁠ LinkedIn —⁠ /danieldruger⁠

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. Mark your calendar. We'll send private emails to Impact Members with registration details. Upgrade to Impact Membership today!Community Event CalendarSuccessful Funding with Karl Dakin, Tuesdays at 10:00 AM ET - Click on Events.If you would like to submit an event for us to share with the 10,000+ changemakers, investors and entrepreneurs who are members of the SuperCrowd, click here.Manage the volume of emails you receive from us by clicking here.We use AI to help us write compelling recaps of each episode. Get full access to Superpowers for Good at www.superpowers4good.com/subscribe

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.

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. 

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

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

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

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

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