Marketecture: Get Smart. Fast.

Ari Paparo

The Marketecture Podcast is hosted by industry experts Ari Paparo and Eric Franchi. Every Friday they publish an interview with an important thinker in the advertising and marketing industries, and cover that week's most important news. Every Monday there's an in-depth vendor interview where you learn about interesting companies. https://www.marketecture.tv

  1. 2d ago

    Episode 182: Brian Quinn from AppsFlyer on the Billion Dollar Investment from Google and Meta

    AppsFlyer President and General Manager Brian Quinn joins Ari Paparo and Eric Franchi to discuss the company’s $1 billion funding round backed by Google, Meta, Unity, and Moloco. They explore independent measurement, mobile commerce, CTV attribution, and the future of AI advertising. Takeaways: - AppsFlyer’s strategic investors hold minority, non-controlling stakes, allowing the company to remain independent. - Google, Meta, Unity, and Moloco rely on independent measurement signals to improve advertising optimization. - E-commerce and retail are among AppsFlyer’s fastest-growing categories. - Connecting CTV, web, and app activity is essential for measuring the complete customer journey. - Last-click attribution remains vulnerable to manipulation and affiliate fraud. - AI advertising growth will depend on proving incremental returns for marketers. Chapters: 00:00 Introduction with Ari Paparo and Eric Franchi 01:09 Marketecture’s new MADDB MCP server 04:14 Brian Quinn joins the conversation 04:45 What is AppsFlyer? 05:39 Inside AppsFlyer’s $1 billion funding round 06:41 Why AppsFlyer selected strategic investors 07:19 Protecting independent measurement 08:34 Why Google and Meta invested 09:49 AppsFlyer as an optimization signal 11:28 How the unusual funding round came together 12:31 Strategic investors versus private equity 13:20 Competing with Adjust while partnering with AppLovin 15:56 Mobile advertising beyond gaming 17:35 Growth in retail and e-commerce apps 19:25 Connecting CTV, web, and mobile measurement 23:52 Ad tech news of the week 25:19 Fia and the affiliate attribution controversy 27:35 The problems with last-click attribution 31:13 Can AI advertising meet its revenue forecasts? 35:01 Questions around IP-based CTV targeting 37:03 Open-web ad supply falls sharply 38:35 The Trade Desk expands its leadership team 40:20 PubMatic exits the wrapper-management business 41:28 Closing thoughts Learn more about your ad choices. Visit megaphone.fm/adchoices

  2. Jul 7

    How CMO at Locala, Grant Gudgel, Uses AI and Location Intelligence to Power Adaptive Advertising

    Ari Paparo speaks with Grant Gudgel, Chief Marketing Officer at Locala, about adaptive advertising, AI-powered planning, location intelligence, omnichannel marketing, privacy, and how brands can improve campaign performance through localized insights. Takeaways Locala helps brands optimize campaigns using market-level insights instead of national averages. AI agents analyze local data to improve campaign planning and performance. The platform supports omnichannel activation across CTV, DOOH, mobile, audio, and more. Adaptive advertising enables brands to adjust budgets, messaging, and channels by market. Privacy and location intelligence remain central to Locala's long-term strategy. Chapters00:00 Introduction00:21 Grant Gudgel joins Locala as CMO00:37 What Locala does and its evolution01:30 Planning platform vs. traditional DSPs02:15 How brands optimize campaigns market by market03:37 Measuring campaign performance and learnings03:52 AI's role in campaign planning05:42 Solving complex retail and QSR marketing challenges07:08 What adaptive advertising means08:07 Location intelligence beyond retail09:30 Competitive analysis with location data09:58 Omnichannel planning with DOOH and CTV10:22 Privacy and location data11:05 Locala's goals at Cannes11:35 Competitive advantages and growth challenges12:21 Lightning round: Why Locala is a narwhal Guests: Ari Paparo, Eric Franchi Learn more about your ad choices. Visit megaphone.fm/adchoices

  3. Jun 30

    How SQREEM's Large Behavioral Model Predicts Consumer Intent with René Raiss

    Live at Cannes, Ari Paparo sits down with René Raiss, Founder of SQREEM, to discuss how the company's Large Behavioral Model (LBM) analyzes real-world behavior instead of language to predict intent, improve advertising performance, and power AI-driven insights across industries. Takeaways- Why SQREEM built a Large Behavioral Model instead of a Large Language Model.- How behavioral data provides deeper consumer insights than keywords alone.- Why AI models, not proprietary data, are becoming the competitive advantage.- How brands use SQREEM to improve targeting and lower customer acquisition costs.- Real-world applications of behavioral AI across media, healthcare, finance, and government.- How AI libraries and MCPs are replacing traditional software platforms.- - - Why understanding intent is the future of marketing and advertising. Chapters 00:00 Introduction to René Raiss and SQREEM00:49 The Story Behind the SQREEM Name01:20 What Is a Large Behavioral Model (LBM)?02:11 Why Consumer Behavior Matters More Than Keywords04:21 How SQREEM Collects and Models Behavioral Data05:44 AI Libraries vs Traditional Marketing Platforms06:48 Using Behavioral AI for Better Ad Targeting07:31 Campaign Performance and Lower CPA Results08:11 Applications Beyond Advertising and Marketing09:11 MCPs and the Future of AI Workflows09:43 SQREEM's Growth Strategy and Competitive Advantage10:24 Why the Model Matters More Than the Data11:14 Lightning Round and Closing Remarks Learn more about your ad choices. Visit megaphone.fm/adchoices

Ratings & Reviews

5
out of 5
3 Ratings

About

The Marketecture Podcast is hosted by industry experts Ari Paparo and Eric Franchi. Every Friday they publish an interview with an important thinker in the advertising and marketing industries, and cover that week's most important news. Every Monday there's an in-depth vendor interview where you learn about interesting companies. https://www.marketecture.tv

You Might Also Like