An Aptabase alternative for agent-driven mobile growth
Simple analytics shows what happened. AnalyticsCLI tells the Growth Engineer what to do next—with subscriptions, crashes, reviews, and code context.
Product data preview
Signals to agent context
Funnels, instrumentation, and evidence your coding agent can act on.
Use AnalyticsCLI when simple app analytics need to become AI Growth Engineer recommendations for mobile products.
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.
- Expo and React Native apps with paywall journeys
- Subscriptions including RevenueCat in growth work
- Founders wanting weekly recommendations from release 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.
- Track onboarding, paywall, purchase, retention, and feature events.
- Separate debug validation from release analysis.
- Feed data to the Growth Engineer with RevenueCat and Sentry.
- Review the task and ship the smallest measurable change.
What you get back
The output should be concrete enough to review without opening five dashboards.
- First-class mobile growth messaging.
- React Native and Expo SDK targets.
- Analytics evidence links to implementation handoffs.
Common questions
Quick answers before you connect product data to an agent.
Is AnalyticsCLI only for mobile apps?
No—also SaaS and web, especially strong on mobile onboarding and paywalls.
Does it automatically capture everything?
No—only explicit events your app sends.
Can it help with Expo analytics?
Yes—React Native and Expo setup in the TypeScript SDK.