Because of the Implication

Because of the Implication

Adam (broadcasting from a hotel in Tampa) and Gareth tackle a massive week in AdTech, leading with Publicis's shocking acquisition of LiveRamp. They unpack why LiveRamp's true value isn't just its identity graph, but its ubiquitous "plumbing" that connects enterprise CRM data to the entire ecosystem, and the strategic "implication" this has for non-Publicis clients. Next, they compare the impending Agentic AI revolution to the 1960s shipping container boom and the creation of OpenRTB, exploring how standardization creates massive efficiency gains for the adopters (like Walmart did with RFID). Finally, they discuss why enterprise brands are tired of renting decisioning from ad networks, the difference between custom valuation (alpha) and averaged ad network decisioning, and debut a brand new segment: ATAT on the Street in Brooklyn!Key Topics:- The Shipping Container Revolution: How standardization and Agentic AI will mirror the efficiency gains of the 1960s logistics boom.- OpenRTB History: Why the original JSON bid request bundle was AdTech's first "shipping container".- Publicis Buys LiveRamp: Breaking down the M&A deal, Terry Kawaja's take, and why LiveRamp's plumbing is its ultimate moat.- The End of Renting Decisioning: Why enterprise advertisers are moving away from ad networks to build custom valuation models.- ATAT on the Street: Real-world reactions to AI, deepfakes, and data center water usage from the people of Brooklyn.Chapter Timestamps:00:00 Intro: Adam's Hotel Wi-Fi02:28 The Shipping Container Revolution & Agentic AI08:48 OpenRTB: AdTech's First Shipping Container12:42 Breaking News: Publicis Acquires LiveRamp14:54 Terry Kawaja's Take on Agentic AI18:06 Why Publicis Made the Deal (Growth & Capital)19:32 The Magic of LiveRamp's Plumbing24:34 Identity Graphs & Defensibility34:06 Holding Companies, Epsilon, and Xaxis43:24 Mark Grether, Uber, and PayPal Ad Networks47:11 Why Brands Are Done "Renting Decisioning"52:00 Custom Valuation vs. Averaged AI59:24 ATAT on the Street: Brooklyn Reacts to AI

I'll Take Any Test You're Willing To Take

Adam and Gareth reunite to unpack an explosive Q2 in ad tech, kicking things off with the "triple hockey stick" growth driving Meta’s 33% revenue surge. The guys discuss how Meta’s ruthless AI shift and integration of massive server compute is crushing Google in the enterprise ad market, and why Google's strategy of over-servicing holding companies is backfiring.They also dive into the backlash against Trade Desk CEO Jeff Green and his "open internet" messaging, debating why retail media networks (RMNs) are growing so fast despite the inherent conflict of interest between retailers and CPG brands. Plus, Gareth explores the terrifying new "split brain" architecture between DSPs and SSPs, Adam makes the case for why "barter" and "trade" agencies still exist to liquidate bad media buys, and they examine how Swivel's new agentic tools are finally bringing automated, human-like operations to Connected TV (CTV) yield management.Key Topics:Meta's AI Dominance: Why Meta’s massive AI efficiency is crushing Google in the enterprise ad market, despite Google's bloated service teams.The Trade Desk Backlash: Unpacking the industry's frustration with Jeff Green's "open internet" pitch and why the growth numbers don't match the story.Retail Media Networks (RMNs): Why companies like Kroger and Albertsons won't share their data, and how it hurts CPG advertisers.The End of "Getting Lost": A philosophical take on how AI tools are stripping younger generations of resilience and problem-solving skills.Agentic Ad Ops (Swivel): How new AI agents are outperforming human traders in the CTV market by running 100 manual interactions per hour.00:00 Intro: Hangovers & Detroit Style Pizza04:55 Defending Jeff Green’s "Open Internet" Pitch11:15 Q1 Earnings: Meta Crushes the Competition13:12 The Conflict Within Retail Media Networks (RMNs)20:49 Why Amazon Built Ad Tech from Scratch22:50 The Risk of a Google Display Network Collapse25:27 Swivel's Agentic CTV Case Study34:04 The Problem with Barter and Trade Agencies41:19 The "Split Brain" Architecture of DSPs vs. SSPs48:39 Postmortem: The IAB Tech Lab's New DTE Standard57:30 Cash Patel and The Ad Tech Investigations01:00:23 Closing Thoughts: Why We Need ACRONYM

The Grand Bargain (ft. Matt Sattel, OpenX)

Adam and Gareth return to the virtual studio to debate the definition of Supply Path Optimization (SPO) and why the sell-side and buy-side can never seem to agree on what it actually means. They are joined by OpenX CEO Matt Sattel to discuss his transition from the agency world to the SSP side, and why OpenX made the expensive, grueling leap to cloud infrastructure back in 2019 to prepare for the AI era.The trio unpacks the industry's so-called "Grand Bargain," debating whether a multilateral committee can truly fix the adversarial relationship between DSPs and SSPs. Gareth argues that ID Bridging is secretly a brilliant conversion-optimization engine in disguise, while Adam pitches his "Premium Coffee" theory to explain how publishers can finally escape the MFA (Made For Advertising) race to the bottom. Plus, a look at why 50% of programmatic ad requests are filtered out, and what OpenX really means by their new "Intelligent SSP" rebrand.00:00 Intro: The "Bright Lights" of Live Shows03:03 The Arc of the Sophisticated CMO06:56 Introducing Matt Sattel (CEO, OpenX)10:04 The Two Definitions of SPO13:16 The Premium Coffee Theory (Escaping MFA)14:52 Filtering Out 50 Billion Requests a Day16:41 The "Grand Bargain" Between Buyers and Sellers19:39 Gareth's Take: ID Bridging is Actually Optimization24:14 The True Cost of Eliminating MFA27:28 Google's Role in the MFA Epidemic32:41 The "Lego Baseplate" Strategy38:42 Why OpenX Moved to the Cloud in 201944:07 Direct Sales & Agentic Buying (ADCP)51:30 Differentiated Demand for Publishers57:40 The Intelligent SSP Rebrand

Claude the Gaude (ft. Adam Markey)

It's an all-Adam episode this week! With Gareth out, Adam Heimlich is joined by stealth startup founder and product leader Adam Markey to discuss the reality of building an ad tech company from scratch in the AI era.The guys dive deep into the philosophy of AI adoption, contrasting Anthropic's enterprise-focused "Constitutional AI" against OpenAI's consumer-driven, entertainment-style models. Markey shares how using Claude as a "full-stack" co-founder has drastically reduced product development cycles from six months to just three days. Plus, they explore why treating AI as a "replacement human" is the wrong starting point, how to avoid AI-generated "slop" in both creative and media planning, and why Anthropic's $20 billion valuation might actually be justified if they can maintain their compounding context moat.Finally, they touch on the IAB’s Agentic Realtime Framework (ARTF), the return of "frenemy" collaboration in ad tech, and why Meta's insane 33% revenue growth is tied directly to their massive investments in server compute.00:00 Intro: Welcome to Planet Ad Tech03:45 Bootstrapping a Startup in the AI Era06:40 Using AI for Complex Rule Prioritization08:13 Anthropic vs. OpenAI: Enterprise vs. Consumer12:03 Claude’s "Compounding Context" Moat14:28 Building a RevOps Dashboard in 2 Hours16:45 Change Management and Full-Stack Founders19:59 AI as a Force Multiplier, Not a Replacement25:35 The Value of Markdown Files for Context28:06 AI as the Ultimate Information Condenser32:28 Anthropic’s Path to Profitability37:25 Working with Google’s "Stitch" Design Agent39:07 The Edge of AI: Humor, Differentiation, and "Slop"44:09 Agentic Standards (ADCP & ARTF)51:03 Advice for Product Managers at Legacy DSPs53:50 The Enterprise Rush to Adopt AI59:49 Meta's 33% Growth and the Server Compute Race

Triple Hockey Stick

Adam and Gareth dive into a chaotic start to Q2 in ad tech, leading off with Meta's jaw-dropping "triple hockey stick" growth in revenue per employee. They discuss how Meta’s ruthless AI shift—including tracking employee keystrokes for training data—is driving massive margins, even as hands-on buyers complain about constant bugs and platform outages.The guys also cover the rise of "Index Cloud" and Bedrock (a DSP living natively inside an SSP), explaining why the traditional DSP/SSP divide is collapsing and how this new architecture enables ultra-low-latency bidding for live sports. Plus, Gareth goes on a rant about the rampant QPS duplication problem in programmatic, they debate the return of Vickrey (Victory) auctions, and they react to a spicy $18M legal battle between TV measurement giants EDO and iSpot. Finally, Adam shares his frustration with the IAB's new Programmatic Governance Council and pitches his own "ACRONYM" coalition to guarantee 80% working media for advertisers.00:00 Intro: An Explosive Start to Q201:36 We Are in the Third Inning of AI in Ad Tech04:23 Meta's "Triple Hockey Stick" Revenue per Head05:15 Tracking Employee Keystrokes for AI Training09:08 The Broken Meta Ad Experience & Bugs16:19 Meta's Internal AI Models (Andromeda & Muse Spark)20:14 Can the Open Web Compete with Walled Gardens?30:37 News: The Trade Desk Launches AI Agents31:39 Index Cloud & Bedrock (A DSP Inside an SSP)37:59 Data Scientists vs. DSP Engineers43:21 The 3 Million QPS Myth & Bid Duplication45:31 Vickrey Auctions and Bid Shading48:22 EDO vs. iSpot: The $18M Lawsuit & Spicy Quotes50:45 The IAB's New Programmatic Governance Council51:54 ACRONYM & The Push for 80% Working Media57:56 The Lutnick / Epstein Ad Tech Connection