Building a successful hybrid monetization model isn’t easy -- developers don’t want to cannibalize the sales of digital goods by showing ads to players who are on the brink of paying. To help developers make smarter decisions, like which players to show ads to, the team launched Firebase Predictions (beta) last year. Today, we’re sharing how you can use Predictions to take the guesswork out of app monetization.
Predicting in-app behavior with Google’s machine learning expertise
These predictive segments are updated daily based on actual and ongoing user behavior. Armed with this information, you can take a variety of actions such as personalizing the UI of your app for users who are predicted to spend money in-app using Firebase Remote Config or sending users an offer via Cloud Messaging.
Helping developers show ads to the right audiences
- Experiments with ad frequency Tuning ad frequency (more or less) for players who are predicted to churn or tuning ads so that they’re only shown to users not predicted to spend
- Experiments with ad content Showing rewarded house ads for other games in your portfolio to players who are predicted to churn or promoting unique IAP offers to players who are expected to spend
- Experiments with different rewards Predictions can be combined with other analytics attributes, user properties or audience insights to fine tune your strategy so you may, for example, reward only users predicted not to spend in specific geos or regions, or who play your game in specific ways.
1. Google Play data, Global, Jan. 2017 vs. Jan. 2018. Developer-declared ads & IAP flags utilized from Google Play Store.