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on
1
Intro
2
What is LTV and why does it matter?
3
Track key predictors of engagement
4
Retention is paramount
5
Use retention table from Player Stats API
6
Engage different players in distinct ways
7
The Stone Age: Shop only
8
V2. The Iron Age: Time limited bundles
9
V3. The Steam Age: Timeline bundles
10
Coming next: The Rocket Age M-L targeted bundles
11
Time Series show
12
actions that lead to a purchase
13
User Funnels Report to track key events
14
Dynamic targets using Player Stats API
15
Prediction-based experience
16
Other ways to use Player Stats API
17
Price elasticity differs by market
18
Google Play sub-dollar pricing options
Description:
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.

Customizing Game Experiences with Lifetime Value Models and Predictive Analytics

Android Developers
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