Applovin (APP) investor relations material

Growth outlook and technology evolution

• Gaming ads have consistently exceeded the 20%-30% growth target, driven by ongoing model enhancements and recursive learning, with significant upside potential as technology matures and expands into new verticals like e-commerce.

• Expansion into e-commerce is expected to ramp faster than gaming, leveraging a full-funnel approach and iterative product development, with recent launches of new customer and new visitor campaigns showing strong early adoption.

• The platform currently monetizes only 1.3% of ad impressions, with a path to over 5% conversion as category density and personalization improve, potentially multiplying ad spend and revenue.

• Long-term focus is on building scalable, high-value technology, with ambitions to serve a market 5-10x larger than gaming and to become a major advertising platform.

• Recommendation system models are evolving alongside large language models, with expectations that advances in AI will double predictive power and business scale in five years.

Investment, efficiency, and headcount strategy

• Data center costs are managed efficiently, growing at less than 10% of revenue growth, with disciplined real-time monitoring of model changes for profitability.

• Headcount remains lean, with only about 400 employees in core ad tech and minimal additions planned for new initiatives, leveraging productivity gains from large language models.

• Performance marketing is being used to accelerate advertiser acquisition, but cost discipline is maintained to avoid impacting the overall cost profile.

• The company prioritizes product quality and organic growth over aggressive sales hiring, believing that superior products will drive customer adoption and scale.

• A significant headcount reduction was made to focus on high-caliber talent capable of leveraging AI tools for greater efficiency.

Competitive positioning and differentiation

• Differentiation comes from deep understanding of niche audiences, unique ad formats, and a powerful recommendation engine built on proprietary data.

• The technology solves complex, multi-step prediction problems for advertisers, providing precise long-term value and engagement forecasting.

• The platform's data and conversion funnels are unique, creating a strong data moat and making the recommendation system increasingly effective.

• Competition is viewed as a catalyst for innovation, with the company confident in its ability to maintain leadership through continuous product improvement.

• Mediation product MAX is highly sticky due to its unbiased, transparent auction and best-in-class monetization and growth tools, maintaining a leading market share despite new entrants.