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AdTech AdTalk · Friday · 59 min

Netflix: Why Don't You Mount Us?

Adam and Gareth open the show reminiscing about classic Crazy Eddie style electronics commercials, prompting Adam to share a fascinating history lesson about how Times Square camera shops became some of the very first search advertisers in 2002. The conversation transitions into a deep dive on creative optimization, explaining why ugly ads often outperform slick creatives and warning that relying on LLMs for media planning will lead to convergence—where every brand is pushed toward the exact same average strategy. The core of the episode focuses on a radical proposal to bypass the traditional programmatic supply chain (DSP to SSP to Ad Server). Adam pitches a future where enterprise brands mount their custom bidding algorithms directly inside publisher ad servers, using Netflix as the prime example of where this thin layer architecture should start. They also expose a major misconception about measurement APIs (like CAPI): when brands send conversion data to walled gardens like Meta, the platform doesn't actually model on that data to find new customers; it simply quarantines the data to take credit for the conversions. In the news segment, the hosts analyze Kevel’s $52 million raise to power retail media networks. They also cover Meta's controversial new terms of service that allow the tech giant to scrape publisher websites for AI training, and they close by examining why agency holding companies like Publicis and Stagwell are trying to merge AI Systems Integration (SI) with media buying—despite SI staffing being the hardest business in the world. CHAPTER TIMESTAMPS 00:00 Crazy Gideon & Early Search Ads for Drop-Shipping04:47 Why Ugly Ads Work & AI Creative Convergence08:19 UMPs, Black Boxes, and the LLM Average17:26 Multi-Touch Attribution & The Measurement Trap20:59 Why CAPI Doesn't Actually Train Facebook's Bidding Model24:36 The Netflix Pitch: Mounting Bidding Logic Inside the Ad Server35:06 Kevel Raises $52M for Retail Media Ad Serving42:08 New Mexico's Massive Fine Against Meta44:16 Meta's Terms of Service Update to Scrape Publishers47:05 Agency Holdcos, Systems Integration (SI), & AI Transformation

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show notes

Adam and Gareth open the show reminiscing about classic Crazy Eddie style electronics commercials, prompting Adam to share a fascinating history lesson about how Times Square camera shops became some of the very first search advertisers in 2002. The conversation transitions into a deep dive on creative optimization, explaining why ugly ads often outperform slick creatives and warning that relying on LLMs for media planning will lead to convergence—where every brand is pushed toward the exact same average strategy.

The core of the episode focuses on a radical proposal to bypass the traditional programmatic supply chain (DSP to SSP to Ad Server). Adam pitches a future where enterprise brands mount their custom bidding algorithms directly inside publisher ad servers, using Netflix as the prime example of where this thin layer architecture should start. They also expose a major misconception about measurement APIs (like CAPI): when brands send conversion data to walled gardens like Meta, the platform doesn't actually model on that data to find new customers; it simply quarantines the data to take credit for the conversions.

In the news segment, the hosts analyze Kevel’s $52 million raise to power retail media networks. They also cover Meta's controversial new terms of service that allow the tech giant to scrape publisher websites for AI training, and they close by examining why agency holding companies like Publicis and Stagwell are trying to merge AI Systems Integration (SI) with media buying—despite SI staffing being the hardest business in the world.

CHAPTER TIMESTAMPS

00:00 Crazy Gideon & Early Search Ads for Drop-Shipping04:47 Why Ugly Ads Work & AI Creative Convergence08:19 UMPs, Black Boxes, and the LLM Average17:26 Multi-Touch Attribution & The Measurement Trap20:59 Why CAPI Doesn't Actually Train Facebook's Bidding Model24:36 The Netflix Pitch: Mounting Bidding Logic Inside the Ad Server35:06 Kevel Raises $52M for Retail Media Ad Serving42:08 New Mexico's Massive Fine Against Meta44:16 Meta's Terms of Service Update to Scrape Publishers47:05 Agency Holdcos, Systems Integration (SI), & AI Transformation

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