Marketecture: Get Smart. Fast.

Ari Paparo and Eric Franchi are joined by Erez Levin, a former Googler who focuses on media and inventory quality. They dig into what “quality” really means in programmatic advertising, why short-term outcomes can be misleading, and how incentive structures have pushed spend toward lower-value impressions. Takeaways Quality is best understood through effectiveness, but most measurement overweights short-term signals.  “Not all impressions are created equal.”  quality varies by context, format, and goal.  Video definition loopholes led to premium pricing for lower-attention formats and contributed to market confusion.  MFA, SPO, and curation are connected symptoms of incentives that reward cheap scale and vanity metrics.  Verification helps, but quality needs to be addressed across the full media workflow, including experimentation and MMM.  Agentic buying could either improve quality controls or make it easier to optimize only to what’s measurable in the near term.  Publisher traffic declines reinforce the difference between commoditized content and differentiated journalism or creator-led media.  Chapters 00:00 Welcome and introduction to media quality 01:29 Marketecture Live updates and announcements 04:18 Erez Levin on why advertising quality matters 06:00 Defining quality vs outcomes in digital advertising 08:30 Brand impact, long-term effectiveness, and mental availability 09:43 Lessons from Google AdX and DV360 10:58 Video misclassification, IAB definitions, and market fallout 14:03 Outstream video, pricing, and mobile gaming use cases 17:00 MFA, SPO, and the real causes of inventory quality problems 19:03 Tools, verification, and the role of measurement frameworks 20:30 Agentic buying, AI, and control over media quality 22:41 AI news: Google UCP, AdCP, and agentic commerce 30:13 Apple, Siri, and Google Gemini’s implications 34:16 Publisher traffic decline and the future of content 36:23 Agentic buying vs RTB and portfolio theory 42:34 AppleCart funding and influence-based advertising 45:04 Liftoff IPO filing and the mobile ad tech landscape 47:57 Google antitrust lawsuits update 49:03 Closing thoughts and wrap-up Learn more about your ad choices. Visit megaphone.fm/adchoices

From CES, Ari Paparo talks with Co-founder and CEO Tim Vanderhook and Co-founder and COO Chris Vanderhook of Viant about what automation looks like in a DSP workflow, using Viant’s Lattice Brain and Outcomes as the framing. They cover how goal-based optimization is set up (CPA/ROAS), what they observed in tests comparing automated and human-managed campaigns, and why “decision latency” is a recurring issue in day-to-day programmatic execution.  Takeaways They describe Outcomes as a goal-based workflow where an advertiser provides key inputs and the system handles ongoing optimization decisions. The guests share results from internal tests comparing automated vs human-managed campaigns, and discuss what signals they looked at beyond the final CPA. A main theme is “decision latency”; humans operate on meeting and approval cycles, while automated systems can adjust continuously. They distinguish between transparency and control: visibility into where spending goes, but limited ability to override optimization choices. They expect a hybrid approach, with some budgets remaining hands-on and others shifting toward more automation. Chapters 00:00 CES check-in and episode setup 00:55 The AI-assisted song launch tangent 01:54 What “Lattice Brain” refers to 02:39 What Outcomes is meant to do 03:42 CPA/ROAS now, incrementality later 05:21 Why run an AI vs human comparison 06:36 Test setup, including excluding retargeting 08:06 What the results suggested and what they focused on 10:25 What automation changes reveal about typical workflows 12:19 Transparency vs manual overrides 14:16 Why open-web performance has been difficult historically 16:29 What they think needs to be true for better open-web performance 17:33 Hybrid buying and where automation fits Learn more about your ad choices. Visit megaphone.fm/adchoices

Ari Paparo and Eric Franchi break down the biggest themes coming out of CES and across ad tech. Ari speaks with Mike Khristo, CEO of Layers, about turning code directly into customers, automating marketing for developers, and how vibe coding is enabling a new wave of profitable niche apps. Ari and Eric then cover AI-powered ad platforms, agentic buying and selling, and major industry announcements from Walmart, Viant, Reddit, Amazon, and The Trade Desk. Takeaways Layers automates marketing for developers who lack marketing skills. Vibe coding allows non-professionals to create viable apps. AI tools are improving the quality of code produced by non-developers. Organic growth is becoming increasingly important for app distribution. App Store Optimization is crucial for visibility in app stores. TikTok and Meta are key platforms for app marketing. Non-technical individuals can successfully build and market apps. The rise of niche apps is creating new opportunities in the market. Developers can focus on building features rather than marketing. The future of app development is empowering individuals to create without needing extensive technical backgrounds. Chapters 00:00 Intro and CES check-in 02:05 Upcoming interviews and announcements 04:00 MADDB product update 05:26 Interview begins: Mike Khristo, CEO of Layers 10:10 Vibe coding and production-quality apps 15:02 App growth channels: Meta, Apple Search Ads, and ASO 17:58 Managed UGC and creator scale 25:20 News of the Week begins 29:34 Amazon DSP and Reddit automation (“Max” modes) 31:06 Viant Lattice Brain and outcomes-based buying 37:27 Agentic advertising and IAB roadmap 46:59 Closing and Marketecture Live reminder Learn more about your ad choices. Visit megaphone.fm/adchoices

Walmart Connect has quickly evolved from a search-driven retail media platform into a full-funnel advertising powerhouse. In this episode, Ari Paparo sits down with Khurrum Malik, VP of Business and Product Marketing at Walmart Connect, to unpack how Walmart is combining on-site search, off-site media, CTV via Vizio, and closed-loop measurement to spark real sales impact. Khurrum shares why he joined Walmart Connect, how “couch to cart” is becoming a reality, what performance TV means for emerging advertisers, and why incrementality is the new gold standard for retail media. The conversation also previews Walmart Connect’s CES announcements, including AI-driven ad tools, search incrementality GA, and new third-party benchmarks that position Walmart Connect against digital and social media. Takeaways Walmart Connect is a multi-billion-dollar retail media business growing 30%+ by focusing on sales impact, not just media delivery Search and PLAs remain the core, but Walmart Connect is expanding aggressively into brand, video, CTV, and off-site media Vizio enables true “couch to cart” activation by connecting CTV exposure directly to Walmart sales outcomes Incrementality and IROAS are becoming the measurement bar for retail media, not just attribution Walmart’s omni-channel footprint of 4,600+ stores and 150M weekly shoppers is a core competitive advantage CES announcements highlight AI-powered tools, search incrementality GA, and third-party benchmarks that outperform digital and social media norms Chapters 00:00 Welcome & Introduction 00:38 Why Khurrum Joined Walmart Connect 02:18 What Is Walmart Connect Today 03:57 Beyond PLAs and Search 05:03 Scale, Brand, and Performance 06:33 Measurement and Incrementality 06:47 Vizio and “Couch to Cart” 09:30 Performance TV for Emerging Advertisers 11:09 Third-Party Measurement & Trust 13:50 CES Preview 17:10 Lightning Round 19:31 Wrap-Up Learn more about your ad choices. Visit megaphone.fm/adchoices

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

In this episode, Ari Paparo and Eric Franchi reflect on the past year in ad tech and discuss their predictions from the previous year, the growth of Marketecture, and the biggest news stories in the industry. They highlight key CEOs and companies, explore current trends, and make predictions for the upcoming year, particularly focusing on the impact of AI and the evolving landscape of CTV advertising. Takeaways Our audience was up 200% year over year on Spotify. This year was the year of strategic M&A in ad tech. AI tools were rolled out by many companies this year. TikTok didn't get banned, but it will be controlled by a US entity. Live streaming continued to grow significantly this year. Sundar Pichai of Google had an incredible turnaround year. YouTube and Netflix are creating a duopoly in streaming. Content marketplaces will become a big thing next year. The in-app advertising space is heating up due to competition. 2026 will see a significant rise in M&A activity. Chapters 00:00 Year-End Reflections and Predictions 03:04 Marketecture's Growth and Achievements 06:03 Evaluating Last Year's Predictions 11:55 Biggest News in Ad Tech 15:01 CEO Highlights and Trends 20:58 Current Trends in Ad Tech 22:31 The Streaming Duopoly: YouTube and Netflix 24:18 The Impact of CTV Consolidation on Advertising 25:44 The Rise of Agentic AI in Advertising 26:49 Spotlight on Hot Startups: Swivel and Branch Labs 29:28 Predictions for 2026: M&A and Market Dynamics 32:33 Learning from the Best: Key Podcast Insights 37:08 The Future of Google and CTV Advertising 41:13 The In-App Advertising Landscape: A New Era 43:21 The TikTok Election: Shaping Political Advertising Learn more about your ad choices. Visit megaphone.fm/adchoices

Dr. Mark Grether, SVP & General Manager, PayPal, unpacks how PayPal is reshaping commerce media by leveraging its transaction graph across 30 million merchants and 400 million consumers at Marketecture Live. From democratizing retail media for SMBs to monetizing Venmo’s social feed and enabling agentic commerce with trusted payments, this conversation explores why PayPal sits at the center of advertising, AI, and the future of buying online. Takeaways PayPal’s transaction graph spans 30 million merchants and 400 million consumers, giving it a horizontal view that powers audience targeting, market share insights, and closed-loop measurement. The new SMB Ads Manager unifies demand and supply so smaller merchants can both buy previously unreachable audiences and monetize their own site traffic. Venmo’s social feed and Gen Z heavy user base create high demand, upper funnel ad inventory tied to real spending behavior and cultural signals like emoji usage. Honey contributes large-scale intent and catalog visibility, letting PayPal connect discovery to checkout and measure impact even for off-site channels like CTV. In agentic commerce, PayPal aims to be the trust and payments layer that reduces friction while humans still make emotional final decisions. Chapters 00:00 PayPal Today: Scale, Brands, and the Transaction Graph 01:09 Retail Media Fragmentation and the SMB Challenge 01:53 PayPal Ads: On-Site, Off-Site, and Storefront Ads 03:57 Ads Manager: Unifying Demand and Monetizing SMB Eyeballs 06:37 Open Commerce: Relevance and Brand Safety at Scale 08:24 Venmo Ads: Social, Gen Z, and Upper-Funnel Moments 10:36 Honey: Intent Signals, Catalog Data, and Targeting 12:15 Closed-Loop Measurement and CTV Attribution 16:14 Agentic Commerce: Trust, Payments, and In-Flow Checkout 24:04 Five-Year Outlook: What Changes and What Doesn’t Learn more about your ad choices. Visit megaphone.fm/adchoices

Scott Spencer, co-founder of Rewarded Interest and former DoubleClick and Google product leader, explains why cookie banners failed, how consumer privacy still feels broken, and what it takes to give users real control without hurting publishers or advertisers. Takeaways RTB wasn’t invented in a single moment. It emerged organically as multiple teams solved latency, bidding, and scale problems in parallel. Cookie banners fail both consumers and regulators by creating friction without real control or understanding. Rewarded Interest aims to replace site-by-site consent with centralized, programmatic privacy preferences across devices. Privacy control likely belongs above the browser level, especially as agentic browsing and AI assistants become mainstream. Changes proposed to GDPR may reduce protections around pseudonymous identifiers, increasing the need for user-centric control tools. The industry risks pushing users toward ad blocking if it can’t offer meaningful, trusted privacy solutions. Scott’s biggest regret from the RTB era isn’t technical. It’s not taking time to appreciate the magnitude of the transformation and the people behind it. Chapters 00:00 Intro: Scott Spencer’s DoubleClick and Google legacy 01:29 Year-end notes: Marketecture Wrapped and MadDB.ai 03:35 Why Scott founded Rewarded Interest 05:00 Coalition for Better Ads and reducing ad blocking 06:20 Why cookie banners are broken 07:55 Centralized privacy control across the web 08:52 Browsers, OS-level identity, and agentic browsing 10:54 Minor mode and protecting children from tracking 12:10 Do consumers want granular control? Rewards and defaults 13:43 GDPR, Digital Omnibus, and Europe’s direction 18:21 Aligning incentives for users, publishers, and ad tech 21:56 22 years at DoubleClick and Google 22:12 Did Scott invent RTB? Network proxy bidding explained. 31:00 The Refresh: Google, Meta scams, and agentic ads 54:15 Wrap-up: YouTube vs Netflix and the Oscars move Learn more about your ad choices. Visit megaphone.fm/adchoices

Andrew Casale, CEO, Index Exchange, and Megan Pagliuca, Chief Product Officer, Omnicom Media Group, unpack how live sports and streaming are becoming more addressable through programmatic, why new standards are fixing real-time “spike” problems, and how sell-side decisioning and AI-driven curation could reshape efficiency and fees across the open internet. Takeaways Live sports are becoming truly addressable through programmatic. Targeting is shifting to moment-level signals, not broad demos. Standards like podding and advanced ad requests reduce live break spikes. Pre-fetching and smarter pacing keep delivery stable. Sell-side decisioning now happens earlier and faster. That speed opens new optimization before bids reach DSPs. The supply chain may be split into modular parts to cut fees. AI is already boosting inclusion lists, safety, and creative workflows. Chapter 00:10 Intro to live sports and programmatic. 00:45 Megan on addressable “magic moments” in live sports. 03:12 Andrew on podding standards for live streams. 04:23 How advanced ad requests prevent break spikes. 06:36 What sell-side decisioning is and why it’s faster now. 09:50 Two futures: bundled platforms or unbundled chain. 15:07 Megan on SPO and tighter partner sets. 17:45 Practical AI wins in lists, safety, and creativity. 23:20 Rapid-fire predictions for 2026. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ari Paparo and Eric Franchi sit down with MoPub and MAX founder Jim Payne to unpack his new company CloudX, how “monetization as code” lets mobile publishers manage their entire ad stack in files that AI can edit, why he teamed up with Meta on a secure auction using trusted execution environments, and what all of this means for SDK complexity, mobile vs desktop, AppLovin, performance TV, retail media, and the next wave of ad tech. Takeaways CloudX lets mobile publishers manage their ad stack as code. Jim built CloudX with Meta to power a more secure mobile auction. Line items and targeting live in files instead of spreadsheets. Trusted execution environments keep bidder data locked down. AI agents can now traffic ads and tweak setups automatically. Jim looks back on Mopub, Max and big outcomes for early teams. The crew also breaks down Pinterest TV Scientific and other ad tech news. Chapters 00:00 Intro and why Jim finally joins. 02:10 Jim’s path through Mopub, Max and Meta. 06:00 What monetization as code actually means. 11:30 How AI agents can traffic ads. 15:00 Secure auctions and why Meta cares. 20:30 Why messy mobile stacks need flexibility. 27:00 Jim on AppLovin and mobile versus desktop. 33:30 Jim Payne legends and big career bets. 44:00 Pinterest buys tvScientific news reaction. 52:00 DSP fees, CTV buying and meta layers. Learn more about your ad choices. Visit megaphone.fm/adchoices

Olivia Kory, Chief Strategy Officer from Haus, walks through an 18-month review of 640 incrementality tests run by Haus to compare Meta’s Advantage+ campaigns with manual setups. She explains the shift from hands-on targeting to AI-led buying, why incrementality matters more than platform-reported conversions, and how Geolift holdouts estimate true lift without user-level data. The results show a strong overall impact from Meta, but mixed performance from Advantage+ versus manual, along with signs that mid-funnel optimization can change outcomes. She ends with practical cautions on interpreting automation results and the need to test by brand. Takeaways Incrementality testing helps separate real lift from conversions that would have happened anyway. Meta tends to deliver measurable lift quickly, though attribution settings change what you see. Advantage+ performs inconsistently against manual campaigns and can skew toward low funnel intent. Mid-funnel signal engineering may broaden reach and improve omnichannel effects, but needs validation. Chapters 00:00 Overview of the research question on AI buying and outcomes. 03:10 How Meta buying moved from manual controls to automated setups. 06:05 Why incrementality matters more than reported conversions. 09:00 Geolift holdout method and cross-channel measurement. 12:10 What the wider Meta test set shows about lift and timing. 16:05 Advantage+ versus manual results and efficiency gaps. 19:20 Possible reasons for the Advantage+ pattern and open questions. 21:10 Signal engineering and mid-funnel optimization approach. 24:20 Final cautions and how to apply testing to your own brand. Learn more about your ad choices. Visit megaphone.fm/adchoices

Matthew Goldstein joins Ari Paparo and Eric Franchi to break down how AI is reshaping publishing, why traffic declines are less scary than content theft, and what it will take for publishers to get paid in an agentic future. They dig into licensing deals, bot blocking, Microsoft’s content marketplace, and the idea of a real-time exchange for fresh, metadata-rich articles. The conversation also hits Google’s growing advantage, OpenAI’s code-red moment, and what all of this means for ads, agencies, and where digital media revenue goes next. Takeaways Publishers are more focused on getting compensated for AI training and retrieval than on raw traffic drops. Bot blocking is rising, but without a shared, reliable block list, it stays messy and uneven. Content marketplaces only work if buyers show up, and right now sellers massively outnumber demand. A split web is coming: humans browse homepages, while agents pull content at scale from trusted sources. Google’s integrated ecosystem gives it a structural edge over everyone in search plus AI. Chapters 00:09 Welcome and setup for AI and content licensing discussion with MSG 02:10 What happened to MSG’s newsletter and why LinkedIn feels better for feedback 05:11 Birthdays, Spotify Wrapped, and shout outs to the pod’s biggest fans 08:18 State of publishers right now: traffic concerns vs AI taking content 10:26 Upfront licensing deals: why the headlines cooled off and what renewals mean 13:12 Blocking AI bots: Cloudflare rollout, inconsistency, and need for a shared list 15:20 Human web vs agentic web and why the publisher business model must change 18:20 Content marketplaces: how many exist, the demand problem, and Microsoft’s approach 20:36 Marketplace mechanics explained through a finance app example 24:00 Real time per article payments and RAG style usage as the likely model 28:21 What marketplaces imply for publisher ads and MSG’s timeline prediction 31:30 News: BroadSign acquires Place Exchange, and why out of home is heating up 35:17 News: Omnicom IPG deal closes and what it means for agencies 38:41 News: OpenAI code red and the rapid rise of Google Gemini 44:52 Rumors of ads in AI search and in ChatGPT 47:19 LLM referral traffic to retail rises over Black Friday weekend 48:40 Trade Desk talent moves and pricing pressure Learn more about your ad choices. Visit megaphone.fm/adchoices

Jenny Wall from VideoAmp joins Ari Paparo to unpack why CTV measurement has to evolve past impressions and demos. They dig into outcomes, advanced audiences, clean room data, and the growing need for multiple currencies across linear, streaming, and walled gardens. Expect practical examples, a clear case for audience first buying, and a candid look at what happens if the industry stays locked to legacy metrics. Takeaways TV works, but modern measurement must prove business outcomes instead of just delivery. Advanced audiences reduce waste and can lift sales by focusing on the right households. Cross channel measurement is essential now that viewing and spend are split across many platforms. Third party validation matters because platforms grading their own homework limits trust. Dual currencies and clean room matching are messy today, but they create price flexibility and innovation. Chapters00:10 Ari sets up the shift from impressions to outcomes in CTV measurement. 02:16 Jenny explains why TV is a really emotional video and why that still drives results. 02:59 The conversation moves to tying fragmented channels to real KPIs like sales. 04:11 Jenny argues that advanced audiences beat demo buying for most brands. 05:18 Examples show how deep audience targeting can go, from retail intent to pharma switching. 10:53 Walled gardens and the need for independent measurement come into focus. 12:48 Dual currencies are framed as painful now but necessary for the market to progress. 15:14 Jenny warns that unstable metrics could wipe out long tail networks. 18:02 Real time optimization in TV is closer than most marketers think. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ari Paparo and Eric Franchi discuss a variety of topics, ranging from the latest developments in the Google trial to the implications of AI in advertising. They provide insights on consulting strategies for data companies, share their personal pizza preferences, and explore the future of marketing mix models. The conversation also touches on job security in ad tech, the impact of media personalities on careers, and the cultural significance of Thanksgiving side dishes. Takeaways The Google trial's outcome may not favor a spin-out. Data companies should focus on use cases rather than just data. AI serves as an enabler in advertising, not a standalone solution. Job security in ad tech is closely tied to revenue generation roles. Identifying AI native companies requires understanding their vision and strategy. The cultural significance of Thanksgiving side dishes varies regionally. Mac and cheese has become a modern staple in Thanksgiving dinners. The pace of AI innovation is rapidly changing the advertising landscape. OpenAI is likely to enter the advertising space due to market demands. The future marketing mix will see shifts among search, walled gardens, and open platforms. Chapters 00:00 Thanksgiving Greetings and Podcast Introduction 00:58 Insights from the Google Trial 04:22 Consulting Advice for New Entrants in Data Marketing 08:05 The Role of AI in Advertising 12:01 Pizza Preferences and Cultural Reflections 15:45 AI Innovation and M&A in Advertising 18:57 OpenAI's Potential Move into Advertising 20:31 The Future of Advertising and OpenAI 22:41 Marketing Mix Modeling in Fortune 500 Brands 25:09 Shifts in Advertising Spend: Search vs. LLMs 29:02 Job Security in Ad Tech Amidst AI 30:40 Identifying AI Native Companies vs. AI Posers 33:04 The Impact of Media Personality on Career 37:34 Thanksgiving Traditions and Food Preferences Learn more about your ad choices. Visit megaphone.fm/adchoices

At Marketecture Live, Alexis Gossard, Senior Manager of Media Strategy at Bayer, and Lisa Perez, General Manager for Pain/Cardio/Derm and Nutritionals, discuss the recent shift in strategy behind the One A Day brand. They outline how the team revisited brand fundamentals, updated the visual identity, refined audience-specific messaging, and adjusted the media approach across video, social, retail, and emerging channels. The conversation offers a clear look at the decision-making process, cross-functional collaboration, and early learnings from the brand’s updated direction. Takeaways Bayer Consumer Health aims to reach more households. The mission is described as the road to billions. A dedicated team focuses on media outcomes. Every media plan outcome is linked to new brand initiatives. The strategy involves analyzing various channels for effectiveness. Household penetration is a key performance indicator. The company is committed to understanding market dynamics. Media planning is crucial for brand growth. The focus is on measurable outcomes in marketing. Bayer is leveraging data to inform its strategies. Chapters 00:10 Opening & Brand Challenge 00:50 Brand Overview & Market Realities 01:06 Audience Complexity & Strategic Shift 03:06 Rebuilding the Brand Foundation 04:39 Visual Identity & Packaging Refresh 06:32 Cross-Functional Collaboration 08:45 Turning Insights Into Media Strategy 09:48 Awareness Strategy & Football Integration 13:23 Advanced Targeting, AI, and Geo-Clustering 18:38 What’s Next & Q&A Highlights Learn more about your ad choices. Visit megaphone.fm/adchoices

Ari Paparo and Eric Franchi sit down with Steven Liss, CEO of OpenAds, to discuss the company’s shift from placing ads inside AI chat to using AI to transform display advertising. They explore why contextual intelligence is gaining new traction, how AI-generated creative performs in practice, and what the new IAB standards AdCP and UCP signal for the future of programmatic buying. The conversation also covers the challenges of embedding interoperability, the complexities of building an AI native DSP, and how agencies are adopting creative generation tools. Takeaways Ads inside AI chat are constrained by a limited supply, while ads powered by AI offer far more scale New language models improve contextual classification, which leads to more accurate targeting AI creative becomes stronger when grounded in a real webpage context and variety Agencies are driving demand for efficient AI-powered creative, while creative and media teams remain separate Building a DSP from scratch is now possible because coding models accelerate engineering work AdCP helps unify signals between buyers and publishers, which cuts waste in programmatic UCP faces hurdles because embeddings created by different models cannot interpret one another Open source or shared industry models may be needed to support reliable embedding exchange Chapters 00:00 Introduction and guest setup 02:10 Thanksgiving banter and mailbag announcement 06:40 Stephen Liss joins the show 07:30 The “OpenAds” naming confusion with TTD 10:00 Why ads inside AI did not scale 15:45 Rise of contextual and AI-driven creative 21:00 Building an AI-native DSP 25:25 Examples of surprising AI-generated creative 31:00 ADCP and UCP: standards, embeddings, and challenges 47:20 Why shared models matter + closing thoughts and wrap-up Learn more about your ad choices. Visit megaphone.fm/adchoices

Ari Paparo sits down with Sergio Serra, PM Lead for RTB Fabric at AWS, to explore how Amazon is transforming the foundations of programmatic advertising. They break down how RTB Fabric eliminates data egress costs, improves latency through deterministic routing, and introduces a per-billion transaction model built specifically for ad tech. Recorded at Marketecture, this conversation reveals how AWS is creating purpose-built infrastructure for SSPs and DSPs, the power of modular services like real-time throttling and OpenRTB filtering, and why Fabric might redefine the economics of ad exchanges. Takeaways RTB Fabric removes the dual tax of data egress and load balancing costs. Deterministic availability zone routing cuts latency and boosts reliability. Built-in modules add rate limiting, filtering, and error masking without extra cost. The pricing model aligns with ad tech’s transaction-based economics. AWS is opening Fabric beyond its own backbone, allowing external connectivity. Chapters 00:00 Introduction and AWS’s Focus on Ad Tech 01:00 What RTB Fabric Solves for SSPs and DSPs 03:00 Eliminating Data Egress and Load Balancing Costs 05:00 How Deterministic Routing Improves Latency 07:00 Built-In Modules: Rate Limiting, Filtering, Error Masking 10:00 Pricing Model Based on Transactions 12:00 Internal vs. External Fabric Connections 14:00 Launch Partners and Future Expansion 15:30 Competitive Edge and Vision for RTB Fabric Learn more about your ad choices. Visit megaphone.fm/adchoices

Ari Paparo and Eric Franchi sit down with Paul Bannister, Chief Strategy Officer of Raptive, unpack new research on how audiences respond to AI-written content, why trust changes depending on labeling and experience, and what shifting traffic patterns mean for publishers. The conversation moves from consumer behavior to the realities of the open web, the role of strong brands, and how AI tools are reshaping ad operations. Takeaways Readers trust AI content less when labeling is unclear. Suspicion of AI drops trust more than actual AI writing. People struggle to identify whether content is AI or human. Heavy AI users become highly skeptical of AI content. Traffic declines hit factual verticals harder than lifestyle. Strong brands cushion publishers from search volatility. Smaller sites dependent on SEO face the greatest risk. Reducing ad clutter can improve both outcomes and revenue. AI tools are speeding up slow ad ops and campaign setup. CTV continues to drive most of the open web growth. Chapters 00:00 Introduction and Guest Introduction 03:00 AI and Content Trust Issues 09:00 Impact of AI on Traffic and Branding 15:00 Earnings Reports and Industry News 21:00 AI in Programmatic Advertising 27:00 Challenges for Small Publishers 33:00 The Role of Human Involvement in AI Content 39:00 Future Trends in Digital Advertising Learn more about your ad choices. Visit megaphone.fm/adchoices

Nik Sharma, CEO, Sharma Brands, and James Borow, VP, Product & Engineering, Comcast, explore how direct-to-consumer performance tactics are transforming traditional TV advertising. Recorded at Marketecture Live, they discuss the rise of real-time measurement, the merging of walled gardens and open web ecosystems, and how Universal Ads is making TV as accessible and data-driven as social platforms. The conversation highlights creative testing, AI’s growing role in production, and what marketers need to unlearn to thrive in the next phase of connected TV. Takeaways Direct-to-consumer brands are driving a shift toward more measurable, performance-focused TV advertising. The creative process for TV is moving closer to social media’s rapid testing and iteration model. Lower production barriers and ad tech integration are making TV more accessible to smaller brands. Incrementality and third-party measurement are replacing outdated metrics and first-party trust. Creative quality and adaptability now matter more than expensive, polished production. TV’s role is increasingly about amplifying social campaigns and driving results on mobile. AI is unlocking faster creative workflows, but still requires human direction and testing. CMOs need to think like measurement product managers, balancing creativity with data literacy. The future of TV advertising lies in accessibility, automation, and integration with digital platforms. Chapter 00:00 Introduction and Background of Nik Sharma and James Borow 02:00 Understanding D2C Brands and Their Approach to Ad Tech 03:30 Why Now Is the Moment to Rethink TV Advertising 05:00 The Shift from Brand Spend to Performance-Driven TV 06:30 Integrating TV into a Modern Media Mix 08:00 How Ad Tech Evolution Made TV Accessible 09:30 From Polished Commercials to Test-and-Learn Creative Models 12:00 TV as the Second Screen and the Rise of Social-Led Storytelling 14:00 Changing Creative Standards Across TV and Social Platforms 15:30 What CMOs Need to Unlearn About TV Buying 17:00 The Role of AI and Automation in Modern TV Advertising 18:30 The Future of Generative AI in Creative Production 19:00 Career Advice for the Next Generation in Ad Tech Learn more about your ad choices. Visit megaphone.fm/adchoices

Ari Paparo and Eric Franchi are joined by Mathieu Roche, CEO of ID5, to discuss the recent acquisition of TrueData and its implications for the identity market. They explore the integration of identity graphs and IDs, the challenges of maintaining privacy and data security, and the evolving landscape of identity solutions. The conversation also touches on the importance of match rates, the role of identity in advertising, and the future of identity technology. Takeaways ID5's acquisition of TrueData aims to enhance identity solutions by integrating identity graphs with IDs. The acquisition increases ID5's staff and revenue by 30-40%, marking a significant expansion. ID5 focuses on making devices addressable and recognizable over time, enhancing match rates. TrueData specializes in connecting data at the user and household level, acting as a 'Rosetta Stone' for identity. The integration of ID5 and TrueData offers a unique end-to-end identity solution for clients. Identity is crucial for targeting, optimization, frequency capping, and measurement in advertising. The debate between deterministic and probabilistic identity solutions continues, with trade-offs in scale and precision. ID5's global presence and strong match rates provide a competitive edge in the identity market. The acquisition process involved extensive due diligence, highlighting the complexity of transatlantic deals. The future of identity technology involves balancing privacy concerns with the need for effective data solutions. Chapters 00:11 Introduction and Guest Welcome 03:42 ID5's Acquisition of True Data 09:56 Identity Graphs and Device IDs 13:33 AI's Role in Advertising 29:49 The US Market and Global Scale 50:19 Deterministic vs. Probabilistic Solutions 57:23 Future of Identity in Ad Tech Learn more about your ad choices. Visit megaphone.fm/adchoices