Gate features that power users love but casual users can live without. The best gated features are those that deliver clear incremental value (unlimited storage, advanced tools, customization). Never gate the core value proposition that attracted users in the first place — that drives uninstalls. A good rule: free users should get enough to love the app; paid users get enough to depend on it.
Make gated features visible but not obstructive. Use subtle lock icons, ‘Pro’ badges, or a brief preview (like showing the first 3 seconds of an AI-generated result). When users tap a gated feature, show a contextual paywall that explains the specific benefit — not a generic ‘subscribe to unlock everything’ screen.
Both can work, but the strategy differs. Feature gating works best for tool-based apps (editors, productivity, fitness trackers) where advanced capabilities justify premium pricing. Content gating works best for media, education, and content-driven apps. Many successful apps use a hybrid: basic features and some content free, with premium features and full content library behind the paywall.
An Apple feature that allows a single subscription to be shared with up to five additional family members, reducing acquisition friction and increasing perceived value. Apps must opt in to support this and often adapt entitlement logic accordingly.
Data collected directly from users by your app — such as behavior, preferences, and purchase history — rather than through third-party platforms. First-party data is more accurate, privacy-compliant, and essential for personalized messaging and retention strategies.
A time-limited offer (e.g., 7 or 14 days) that grants users access to premium features at no cost. Trials are used to build trust, increase perceived value, and reduce barriers to subscription. Managing trial-to-paid conversion is a key monetization lever.
A monetization model where the core app experience is free, but advanced features, content, or tools require a paid subscription. Freemium strategies allow broad top-of-funnel reach while monetizing the most engaged and high-intent users.
The process of tracking user behavior through defined conversion stages — such as install → trial → paid → renewal. Funnel analysis helps identify where users drop off and where to optimize onboarding, pricing, or messaging to improve performance.
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