Case Study: a mobile game maker valued at over $300m boosts ROAS with Pecan AI

Mobile Game Maker Valued at Over $300m boosts ROAS 2.7X with Pecan

A mobile game maker valued at over $300 million faced a challenge with its user acquisition strategy. Its existing approach was optimized for player conversion data from only the first seven days, which provided limited data for Meta to effectively target high-value, long-term players for its flagship game. To advance its strategy, the company partnered with vendor Pecan to implement predictive lifetime value (pLTV) modeling.

Pecan connected to the company's BigQuery database and built models to predict player activity and spend at day 30 based on just two days of initial data. The solution provided pLTV predictions that were used to optimize Meta campaigns. This resulted in a 2.7X boost to ROAS, a 34% increase in player spend, and a 68% reduction in incremental cost per install for the mobile game maker.