Agenda

In 2026, the industry faces a scaling problem; teams try to scale games by "optimizing CPI and eCPM," but very few are actually fixing the game. Ad networks claim AI to boost eCPM, UA partners promise AI that lowers CPI, Studios burn time and money while core problems in retention, LTV, and content design stay unsolved. This session will address these problems and show how games win in the era of AI. GameLyft Introduces a target and LTV-first way to win, an "Intelligent Growth OS," a system that examines your game to pinpoint systemic issues in retention, monetization, design flow, and prescribes game-specific solutions tied directly to ROAS and higher revenue. We explore why traditional dashboards fail to drive growth and how this framework unifies Product, Monetization, and UA into one actionable scoreboard. GameLyft's philosophy is simple: it should only win when it helps your game achieve sustainable revenue growth

Takeaway

Walk away with a practical "Fix-Order" framework to convert noisy dashboards into decisions. Using GameLyft's approach, you'll learn to pinpoint root causes, rank high-impact fixes, and tie in-game red flags to ROAS and retention deltas, prioritizing the experiment phases that actually compound revenue and increase LTV sustainably.

Intended Audience

Founders, studio leads, and strategic partners managing game portfolios, it's for UA and product teams, tired of silos, who need a clear system to assess scalability. If you're responsible for prioritizing roadmaps, growing LTV, or evaluating portfolio growth potential in the AI era, this session shares a practical framework.