Deconstructor of Fun

• 311. How to Build an AI-First Culture with 1,300 People. Real Story.

  What if your company stopped chasing quarterly goals and spent an entire month training every employee on AI? That's exactly what AppsFlyer did, and it completely transformed how they approach innovation.In this episode, AppsFlyer down with Barak Witkovsky, Chief Product Officer of AppsFlyer, to discuss one of the boldest AI transformation experiments I've ever heard of. For four weeks, they paused regular business objectives and put all 1,300 employees through an AI builder course. Not on top of their work. AS their work.What We Cover:1. Why AppsFlyer stopped chasing OKRs to invest in AI education across the entire company2. How AppsFlyer's CEO and CPO learn about AI from their own employees (including marketers who know more than developers at other companies)3. How AppsFlyer evolved from a measurement platform into a modern marketing cloud with autonomous AI agents4. How do you get marketers to trust AI when they're deploying tens of millions in ad spend?5. Why AppsFlyer is betting on an open AI ecosystem with MCP and Agent Hub6. Are marketers becoming obsolete or are they about to become "bosses of agents"?7. Why executives are bullish on AI while directors and managers feel anxious (and what to do about it)Timestamps:00:00 AI Integration at AppsFlyer04:15 The ROI of AI Investments05:14 Evolution to a Modern Marketing Cloud16:30 Challenges of Omnichannel Measurement22:26 AI Agents in Marketing27:01 Becoming an AI-First Company31:29 The Role of AppsFlyer in the AI Ecosystem44:38 The Ultimate Growth Machine Vision47:18 Final Thoughts

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• Game Analytics 02 - Marketing

  CPI is only one signal. In this episode, we show how top studios test appeal in prototypes, validate value in soft launch, and scale with confidence. A fast, practical guide to reading market signals at every stage of development.

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• Game Analytics 01 - Building

  This episode breaks down the real foundation of successful game development: clean data, aligned teams, and fast decision loops. Learn why most studios collect too much data, how to build a shared truth, and how AI changes the analyst’s role. Perfect for teams that want clarity, not more dashboards.

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• Game Analytics 04 - Retaining

  Most retention problems come from mismatched expectations, not flawed features. This episode teaches how to align creatives with gameplay, diagnose early vs. late churn, and use personalization to keep players engaged. Short, sharp retention truths every team should hear.

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• Game Analytics 03 - Monetizing

  Monetization isn’t a layer, it’s the outcome of understanding player motivation. This episode covers segmentation, pricing, LTV curves, and early warning signs of monetization failure. A concise breakdown of how sustainable revenue systems are built.

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