Price Testing for Mobile Apps

A/B price testing for mobile apps is a challenging task that involves managing user cohorting, data collection, and analysis, especially with the added complexity of subscriptions. RevenueCat aims to simplify this process with its Experiments tool, designed to facilitate high-fidelity pricing tests for mobile subscription apps. Traditional A/B testing methods, often based on binomial experiments, fall short in capturing the nuances of subscription pricing, which requires a comprehensive understanding of the customer lifecycle and lifetime value (LTV). RevenueCat's Experiments offers an end-to-end view of the subscription lifecycle, helping developers analyze the impact of price changes by grouping metrics into initial conversion, paid customers, and revenue, ultimately aiming to optimize pricing strategies to maximize LTV. By providing a detailed snapshot of results over time and allowing for platform-specific filtering and analysis, RevenueCat enables developers to make informed decisions about their pricing experiments, enhancing revenue potential across iOS, Android, and the web.