Personalization and A/B Testing: How to create better experiences for users
summary
Explains concrete differences between Remote Config personalization (beta) and A/B Testing: personalization uses ML to pick an optimal variant per user and adapts over time, A/B Testing measures group-wide effects and builds statistical confidence. Shows a game demo with three difficulty JSON variants (1 step/s unlimited retries power-up every 300s; 3 steps/s 10 retries power-up 600s; 8 steps/s 3 retries power-up 1200s), uses Android/Kotlin SDK, tracks user engagement (predefined objective) and secondary metrics. Cites Venngage +30% ad revenue with negligible retention impact from an A/B test.
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chapters (4)
- 0:00Introduction
- 0:26Introduction to Personalization and A/B Testing
- 1:34Differences between Personalization and A/B Testing
- 6:06Demo: Personalization for Game Difficulty
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