Mobile app analytics your growth agent can act on
Explicit mobile events plus revenue, crash, and store context—built for agent-ready growth work.
Product data preview
Signals to agent context
Funnels, instrumentation, and evidence your coding agent can act on.
Track mobile app analytics for onboarding, paywalls, retention, crashes, reviews, and revenue so AI agents can prioritize product improvements.
Who this is for
Start here if the problem below sounds familiar. You do not need every connector on day one—just enough signal for the Growth Engineer to propose work you can review.
- Apps tracking onboarding, paywalls, activation, and retention
- Subscriptions using AnalyticsCLI with RevenueCat and Sentry
- Teams wanting reviewed growth tasks from production data
How it works
The loop is the same across guides: connect evidence, let the agent read it, then ship a reviewed task with a verification metric.
- Instrument onboarding, paywall, purchase, retention, and feature events.
- Keep debug validation separate from release data.
- Connect RevenueCat, Sentry, App Store Connect, feedback, and GitHub.
- Let the Growth Engineer rank work and draft an issue or PR plan.
What you get back
The output should be concrete enough to review without opening five dashboards.
- Explicit events—no hidden screen recording.
- Combines analytics with revenue, crash, store, and code context.
- Built for Growth Engineer handoffs, not charts alone.
Common questions
Quick answers before you connect product data to an agent.
What should a mobile app track first?
Onboarding completion, activation, paywall views, purchases, retention, and core value actions.
Can mobile analytics feed coding agents?
Yes—scoped CLI workflows expose data agents can query.
Does this replace RevenueCat or Sentry?
No—they stay source systems; AnalyticsCLI adds product behavior context.