Customizing Game Experiences with Lifetime Value Models and Predictive Analytics

Discover how to optimize your game's experience for diverse users through lifetime value models and predictive analytics in this 33-minute Android Developers conference talk from Playtime 2016. Learn to track key engagement predictors, emphasize retention using the Player Stats API, and implement evolving monetization strategies from basic shops to machine learning-targeted bundles. Explore the use of time series analysis and user funnels to identify purchase-driving actions and key events. Gain insights into leveraging the Player Stats API for dynamic targeting and creating prediction-based experiences. Understand market-specific price elasticity and Google Play's sub-dollar pricing options to maximize your game's potential across different user segments.

Intro
What is LTV and why does it matter?
Track key predictors of engagement
Retention is paramount
Use retention table from Player Stats API
Engage different players in distinct ways
The Stone Age: Shop only
V2. The Iron Age: Time limited bundles
V3. The Steam Age: Timeline bundles
Coming next: The Rocket Age M-L targeted bundles
Time Series show
actions that lead to a purchase
User Funnels Report to track key events
Dynamic targets using Player Stats API
Prediction-based experience
Other ways to use Player Stats API
Price elasticity differs by market
Google Play sub-dollar pricing options