#google-play-experiments

2 notes tagged “google-play-experiments”.

• Reading store A/B test results — when to stop, applying ties, validating winnersWhy you shouldn't stop a Google Play experiment when it first shows a winner, how to read performance bars as confidence intervals and apply "positive ties", using a Bayesian calculator for PPO, and three ways to cross-check a winner.
• Store A/B tests — sample size, MDE and why bold variants winHow much traffic a screenshot/icon test needs, what minimum detectable effect (MDE) means for ASO, Klarna's market-tier rule for where to test, and why "one hypothesis, bold change" beats "one small change at a time".