Detailed Narrative
AI and Competition Strategy
Adam Foroughi addressed market skepticism regarding AI and competition, stating that the company's internal AI models are fueling its strongest operating performance. He highlighted that competition forces innovation and that the MAX auction benefits from increased bid density, expanding the pie even if AppLovin's share shrinks, as they charge a 5% fee to winning bidders for low-value impressions. The company believes its network effects and strong value proposition make it resilient against new entrants.
E-commerce Self-Service Launch and Performance
The e-commerce business, live for 1.5 years, opened its self-service platform in Q4 2025 on a referral-only basis, with a general availability (GA) launch on track for H1 2026. Existing e-commerce customers saw material spend increases due to continuous model improvements. New customers from the referral program also showed strong trends. The company does not break out e-commerce revenue, considering its platform a unified entity where model improvements in one area can benefit others.
Generative AI for Ad Creation
AppLovin is still in the early stages of automating ad creation. While top gaming companies run tens of thousands of ads, e-commerce companies currently run only hundreds. The company is piloting generative AI tools for interactive ad pages with over 100 customers, with plans to roll out video generation tools shortly. This initiative aims to significantly lower ad creation costs from thousands of dollars to just dollars, thereby increasing the volume and competitiveness of ads for new customers on the platform.
Long-term Vision for Mobile Gaming and AI
Management believes AI will dramatically lower content creation costs, leading to an explosion of content and making discovery a scarce resource. AppLovin's models are designed to efficiently match users to content, leveraging AI to enhance this capability. They see no evidence of a declining mobile gaming market, particularly for casual games, and view the current low impression conversion rate as a large long-term opportunity as their models continue to improve.
MAX Auction Dynamics and Moat
The MAX auction, a foundational component of the ecosystem, benefits from increased competition, which improves publisher monetization and user acquisition. AppLovin's model excels at valuing impressions, often profiting by charging a 5% fee on impressions won by competitors that AppLovin values less. The company's moat extends beyond its mediation technology to its superior advertising solutions, which are crucial for publishers' growth and user acquisition, creating a sticky 360-degree solution.
Marketing Investment and LTV to CAC
AppLovin is currently testing marketing for its AXON platform, observing an exceptional 30-day LTV to cost of user acquisition breakeven. The company is not rushing to scale marketing efforts until its conversion funnel and generative AI content creation tools are fully optimized. The goal is to improve the qualified lead-to-live advertiser conversion rate from 57% closer to 100% before a broader GA launch, ensuring efficient and impactful growth.
Model Improvements and Data Penetration
The company's AI models are continuously improving through internal and external research. While the gaming model is mature with high data penetration, the e-commerce model is at an earlier stage with less data. Every new advertiser that pixels their site provides valuable engagement and transactional data, which acts as a significant catalyst for improving predictions in the e-commerce category. This incremental data is expected to drive substantial growth as the platform expands.