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Your monetization decisions and revenue maximization can be informed by the valuable insights you can obtain about user behavior, preferences, and trends through the collection and analysis of user data. Cohort analysis is a technique for using data analytics that entails grouping users according to traits or behaviors they have in common and tracking their engagement and spending over time. You can modify your monetization strategies to better suit the needs and preferences of different user segments by having a thorough understanding of how they interact with your app. Also, monetization strategy optimization can be greatly aided by A/B testing. You can obtain information about which strategies work best and make well-informed decisions about how to maximize revenue without sacrificing the user experience by testing various pricing models, ad placements, or in-app purchase options with small groups of users.