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All-In with Chamath, Jason, Sacks & Friedberg · Podcast summary

Adam Foroughi, Applovin CEO: Surviving a 92% Drawdown, Ads as ML 1.0 & the $50B Game Ad Market

Applovin CEO Adam Foroughi discusses how his company not only survived a 92% drawdown but thrived, leveraging advertising as a powerful machine learning application and navigating the evolving $50 billion mobile game ad market.

Adam Foroughi, Applovin CEO: Surviving a 92% Drawdown, Ads as ML 1.0 & the $50B Game Ad Market Listen on the show ↗

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Adam Foroughi, CEO of Applovin, joined the All-In Podcast to share the remarkable story of his company's resilience and strategic evolution in the dynamic world of mobile advertising. Foroughi shed light on Applovin's unique approach to business, its navigation through market volatility, and its vision for the future of advertising, particularly within the burgeoning mobile gaming ecosystem.

The Quiet Giant: Applovin's Unique Business Model

Foroughi began by describing Applovin as a "best founder no one's ever heard of," operating an ad platform quietly outperforming giants like Facebook for e-commerce brands. He highlighted the company's unconventional path, building a very large business without early-stage VC funding. This forced Applovin to "build quietly," a strategy that, combined with its "goofy name," kept it out of the public eye for a long time.

Applovin's core business is an advertising company that helps mobile game developers monetize their space. Foroughi emphasized the immense scale of the mobile gaming universe, with over a billion people playing casual mobile games daily. These aren't just kids; they're adults and heads of households. He revealed that Applovin's platform alone saw $11 billion in ad spend two years ago, growing 60% year-over-year to an estimated $20 billion today. The total mobile gaming ad ecosystem is estimated to be around $50 billion annually, a figure comparable to the entire social media ad market not long ago.

Foroughi explained that mobile gamers actively watch ads, often to earn rewards within games. This dynamic creates a unique opportunity to generate "intent." Historically, this intent was used to drive users from one game to the next. However, with advancements in deep learning models, Applovin can now leverage this same space to target users with "shopper behavior experiences," allowing them to tap into much larger economies and make a greater economic impact.

Keep reading in The Digest

The full 6-minute article, 6 more sections, and every new episode from All-In with Chamath, Jason, Sacks & Friedberg and the creators you follow.

  1. Advertising as Machine Learning 1.0
  2. The Evolution of Ad Relevance and the "Creepy Factor"
  3. Navigating Public Markets: The 92% Drawdown and Buyback Strategy
  4. Privacy, Regulation, and the Future of Advertising
  5. Applovin's Competitive Edge and Future Growth
  6. The Power of Talent: Applovin's Global Team
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