Start simple with 2-3 segments based on engagement level (e.g., low, medium, high activity). Track key behaviors like session frequency, features used, and paywall views. Use these segments to personalize your paywall messaging first — it is the highest-leverage starting point. Tools like Botsi make it easy to assign segments and deliver different experiences.
Demographic segmentation groups users by who they are (age, location, device). Behavioral segmentation groups by what they do (session frequency, features used, purchase history). For subscription apps, behavioral segmentation is usually more predictive of conversion and churn because actions reveal intent better than demographics.
Start with 3-5 meaningful segments. Too many segments make it hard to create personalized content for each and reduce sample sizes for testing. A good starting framework: new users, engaged free users, trial users, active subscribers, and at-risk subscribers. Refine from there based on data.
The server-side system that determines which features or content a user can access based on their subscription status. Typically integrated with app store receipt and tools like like Botsi, it ensures consistent access across devices and platforms.
User engagement that occurs without directly launching the app, such as interacting with push notifications, widgets, or voice assistants. While less visible, this activity can influence retention and should be factored into engagement metrics.
A statistical approach that updates probabilities based on new evidence, often used in A/B testing and predictive modeling. Unlike frequentist methods, Bayesian models provide a more flexible framework for interpreting test results and making probabilistic decisions — useful in pricing tests, LTV projections, and paywall optimization.
The interval at which a subscription renews and the user is charged — typically monthly, quarterly, or annually. Understanding billing cycles is important for tracking revenue recognition, renewal trends, and user lifetime value.
The automated process by which subscription platforms (e.g., Apple, Google, or a backend service) attempt to recover failed payments due to issues like expired cards or insufficient funds. Effective retry logic is essential for reducing involuntary churn and maintaining revenue continuity.
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