Studios of any size can leverage machine learning to optimize their game
GameTune leverages Unity’s machine learning to automatically optimize elements like game progression speed and IAP bundles. It continuously learns, adjusts, and iterates to deliver the best gameplay experience – which means happier players and improved lifetime value.
See how Futureplay used GameTune to improve revenue per download by over 8%.
How it works
You use GameTune by determining your target KPI for each optimization point in your game. Next, you create different alternatives for GameTune to choose.
For example, you can optimize your first-time user experience to improve player retention. Players can receive a short, medium or long tutorial, depending on their skill level and past behavior. GameTune then assigns each player the alternative that maximizes your target KPI.
Choose a metric
GameTune’s machine learning model can optimize retention, lifetime value (LTV) or conversion rate. Choose a metric that is relevant for your use case.
Short, medium, or long tutorial? Show $1 or $5 offer bundle? Tell us your alternatives and GameTune will choose the best one to show each user.
Describe your player
GameTune powers your player-specific game data with Unity’s dataset to work smarter.
Optimize your game
Each player in your game will get a personalized experience, powered by Unity’s machine learning.