Usage Revenue = Base Price + (Overage Units x Per-Unit Price). ARPU = Total Revenue / Active Users. Usage Distribution analysis helps set optimal tier thresholds.
When usage varies 10x+ between light and heavy users, when the marginal cost of serving heavy users is significant (AI, cloud storage), and when users can easily understand and predict their usage. It works poorly when usage is hard to quantify or when unpredictable bills create anxiety.
Yes, and this hybrid is increasingly popular. Offer a base subscription with included usage (100 AI credits/month) plus overage pricing. This provides revenue predictability while capturing value from power users. Most successful AI apps use this model.
Apple supports consumable in-app purchases (credit packs) alongside subscriptions. Users can buy additional credits when they run out. You manage the credit balance in your backend. Botsi can track both subscription and consumable purchase data together.
The percentage of users who delete your app after installation, often within the first 24-72 hours, but can be longer-term as well. High uninstall rates typically signal onboarding friction, weak value delivery, or misleading acquisition messaging.
A Google Ads campaign type that promotes your app across Google Search, the Play Store, YouTube, and the Display Network using machine learning. UACs optimize automatically for installs or in-app actions like trial starts or subscriptions based on real-time performance data.
The in-app or store-level experience a user goes through when canceling their subscription. A well-designed unsubscribe flow can reduce churn by offering pause options, downgrade plans, or highlighting underused value. Poor unsubscribe UX may lead to frustration and negative reviews.
A tactic that encourages users to move to a higher-tier subscription plan or unlock additional features. Upsells can be timed based on user behavior (e.g., usage limits, feature interactions) and are most effective when they clearly communicate added value.
Data collected on how users interact with the app - including features used, frequency, depth of engagement, and time spent. Usage analytics inform feature prioritization, upsell timing, onboarding flows, and lifecycle messaging strategies.
Botsi automatically shows the right price to every user. Stop guessing and start growing.