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Episode 162: Eric Seufert on the SaaS-pocolypse, Meta’s Manus, and AppLovin’s Social Network

Eric Seufert (Mobile Dev Memo) joins Ari Paparo and Eric Franchi for a wide-ranging conversation on the future of apps, AI agents, walled gardens, and the shifting power dynamics in digital advertising. They dive into the so-called “SaaS-pocalypse” and discuss whether AI agents could replace apps entirely. They also discuss Apple’s emerging AI gatekeeping strategy (and what it means for developers), Meta’s acquisition of Manus and the automation of advertising, and AppLovin’s reported ambitions to build a social network from scratch. Along the way, they explore whether independent ad tech can survive in a world dominated by Meta and Google, how AI is reshaping landing pages and commerce journeys, and why fully autonomous “agentic commerce” may be more mirage than inevitability. Takeaways AI agents may change how people use apps, but apps will not disappear.  Owning the user surface area matters because it protects monetization and customer relationships.  Agentic commerce sounds compelling, but platform incentives make full disintermediation unlikely.  Apple is tightening rules around sending personal data to third-party AI services, and enforcement is increasing through app rejections.  Apple keeps definitions vague to preserve latitude, which can create uncertainty for developers.  Apple may use Private Cloud Compute partnerships to control AI distribution and take a share of revenue.  Running meaningful AI inference on a device is limited by memory, so cloud processing remains central.  Meta’s Manus acquisition reinforces the push toward end-to-end campaign automation in Ads Manager.  The next step is AI that improves the post-click journey, not just the ad setup.  Meta’s business AI vision could move optimization from landing pages into conversational purchase guidance.  Some startups should look beyond Meta’s core strengths and build in channels that Meta is less focused on.  Building a new social network requires massive spending, but AppLovin has the cash flow and distribution to attempt it. Chapters 00:00 Intro & Eric Seufert Returns 02:26 Marketecture Live Announcements 06:11 The SaaS-pocalypse 10:14 Why Apps Won’t Die 11:54 Why Super Apps Failed in the West 13:27 Private Markets & AI Valuations 14:10 Apple’s AI Tracking Transparency 17:08 Apple’s Gatekeeping Strategy 21:15 App Store Delays & Vibe Coding 22:24 Meta’s Manus Acquisition 24:12 Meta’s Business AI Vision 29:44 Can Anyone Compete With Meta? 30:45 AppLovin’s Social Network Ambitions 36:04 Infillion Acquires Catalina 41:26 The Trade Desk Earnings Breakdown 46:23 Executive Turnover & Competitive Landscape 50:38 Profound’s $1B Valuation 54:14 AdSense for AI & LLM Monetization 58:00 Walmart Connect Growth Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode 161: The State of AI with eMarketer’s Nate Elliott

Nate Elliott, Principal Analyst at eMarketer, joins Ari Paparo and Eric Franchi to talk through what’s actually happening with AI adoption in marketing and commerce. He shares a practical view on how many consumers actively use AI tools, why usage stats are often misleading, and why most AI influence on shopping still happens outside chatbots. The group also digs into GEO and AEO, agency and CMO priorities, and the growing debate over content licensing and the health of the open web. Takeaways Only about 15–20% of US online consumers use AI tools weekly, despite AI touching nearly every digital experience. Most AI-influenced commerce happens through research and discovery, not direct purchases inside chatbots. GEO feels like SEO in 1998, full of experimentation, aggressive tactics, and unclear measurement. CMOs are focused more on internal AI productivity gains than flashy external AI activations. Agencies may reach near-universal AI usage internally, but that does not mean AI replaces 95% of marketing output. The health of the open web is critical to AI platforms, making content licensing a long-term strategic issue. Chapters 00:00 Nate Elliott’s background and role leading AI research at eMarketer 07:30 How many consumers are actually active AI users 11:50 AI and commerce: direct transactions vs influence 14:40 GEO and the Wild West phase of AI search optimization 18:30 What CMOs are prioritizing in their AI strategy 23:20 Agencies, AI adoption, and the 95% marketing debate 26:00 AI disclosure, creative production, and labeling concerns 32:00 Content marketplaces and whether Google will pay publishers 38:00 Reddit, AI optimization, and measurement challenges 44:00 Agency rebates and media transparency 47:30 Amazon becomes Fortune’s number one company Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode 160: Matthew Egol on Why We Need an AI-Specific Industry Association

Matthew Egol, Founder & CEO of JourneySpark Consulting, joins Ari Paparo and Eric Franchi to break down agentic advertising and what AdCP means for the industry, from AI’s Super Bowl moment to standards governance, Prebid collaboration, IAB alignment, and how AI agents are reshaping planning, creative, and measurement across marketing. Takeaways AI took over the Super Bowl, with roughly a quarter of ads tied to AI. Agentic advertising expands from buying to planning, discovery, and measurement. AgenticAdvertising.org focuses on standards, governance, and certification. Prebid runs the sell-side AdCP code while AAO drives the protocol and adoption. AdCP is still mostly in pilot mode, not scaled revenue. AI creative testing is beating traditional DCO in performance. LLM ads could reshape search, retail media, and content economics. Chapters 00:00 Opening & Guest Introduction 01:29 Marketecture Live & Super Bowl Banter 03:58 Matt Egol Joins from CES 06:49 What Is AgenticAdvertising.org? 08:16 Certification & Trust 11:11 Why Another Organization? 13:43 Prebid Partnership Explained 16:08 Expanding Beyond Programmatic 18:23 Relationship with the IAB 22:30 Adoption Update: February 2026 24:08 Governance & Board Structure 26:16 The AI Super Bowl 33:47 ChatGPT Launches Ads 44:20 Amazon Content Marketplace Rumors 52:19 Closing & Sign-Off Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode 159: Bob Lord of Horizon on How Indie Agencies Compete

Bob Lord, President of Horizon Media, joins Ari Paparo and Eric Franchi to talk about why independent agencies can move faster, how Horizon OS is built around an open partner ecosystem, and how AI is changing day to day agency work. They also cover Blu ID, performance-based pricing, the LLM ad debate, and key takeaways from IAB ALM. Takeaways Indie agencies move faster because they don’t carry legacy tech and data debt. Horizon OS keeps the stack open so brands can swap partners as needed. Blu ID links Horizon’s identity to client first-party data for more precise planning. Horizon wants performance based pay so incentives match business results. AI delivers quick wins through reconciliation and workflow automation. The ads debate is really a trust play between Anthropic and OpenAI. Chapters 00:00 Travel, Super Bowl, and AI talk. 04:22 Bob Lord joins the show. 06:38 Why holdcos struggle with tech and data debt. 08:17 Horizon OS and client access to data. 10:39 Switching agencies and owning first party data. 11:40 What Blu ID is. 12:13 Open ecosystem and partner plug-ins. 14:19 From staffing to growth partnership. 15:45 Performance based agency economics. 16:59 Why AI fits open systems. 18:12 Agent Q, Gemini, and fewer hallucinations. 20:14 AI wins: reconciliation and pitch work. 21:30 Horizon and Havas partnership. 23:41 Viveki then vs now. 28:45 LLM ad war and Anthropic ads. 36:33 IAB ALM and publisher AI accountability. 40:02 Project Ados and ADCP friction. 45:24 Earnings: Google, YouTube, Uber Ads. 51:56 Closing thoughts on open ecosystems. Learn more about your ad choices. Visit megaphone.fm/adchoices

Ari Paparo on the Era of Outcomes in Digital Advertising at Marketecture Live

Ari Paparo explains why outcomes have become the defining metric in digital advertising, how AI and platform consolidation are reshaping the buy and sell sides, and what the decline of the open web means for marketers, publishers, and ad tech moving forward. Takeaways Outcomes have always existed in digital advertising, but pressure on CMOs has made measurable results unavoidable. Closed loop platforms outperform the open web because scale, identity, and measurement live in one system. Experimentation and advanced modeling are replacing traditional attribution as cookies disappear. AI agents may reduce fragmentation by automating buying, negotiation, and optimization across publishers. Programmatic advertising is circling back to outcome driven models similar to early ad networks. Antitrust actions may reduce Google’s efficiency but will not eliminate its dominance in outcomes. Chapters 00:00 Outcomes become the central measure of marketing success as CMO accountability increases. 02:10 AppLovin shows how repeatable performance drives massive valuation. 04:08 Experimentation and AI modeling replace fragile attribution systems. 06:01 Why publishers struggle to compete with closed platforms on outcomes. 09:12 AI search and summaries dramatically reduce traffic to the open web. 12:09 Fragmentation creates opportunity in a multipolar content ecosystem. 14:14 Agentic buying hints at a future with less friction and more scale. 15:20 Programmatic advertising evolves back toward outcome focused systems. 20:31 Antitrust remedies may reshape Google’s stack without killing outcomes. Learn more about your ad choices. Visit megaphone.fm/adchoices