Connect RevenueCat signals to product analytics
Pair product behavior with RevenueCat monetization—paywall, churn, and retention in one Growth Engineer run.
Product data preview
Signals to agent context
Funnels, instrumentation, and evidence your coding agent can act on.
Use RevenueCat subscription signals with AnalyticsCLI funnels, onboarding data, crashes, feedback, and code context.
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.
- Subscription apps with paywalls
- Teams linking onboarding to purchase outcomes
- Agents needing monetization evidence before tasks
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 and paywall journeys in AnalyticsCLI.
- Connect RevenueCat subscription summaries.
- Compare conversion, churn, MRR, and paywall performance with events.
- Generate a focused growth task with revenue context.
What you get back
The output should be concrete enough to review without opening five dashboards.
- RevenueCat is a core Growth Engineer signal source.
- Paywall and purchase events in the SDK.
- Combines monetization with crashes, store, and code context.
Common questions
Quick answers before you connect product data to an agent.
What RevenueCat signals are useful?
Trial conversion, churn, MRR, subscription status, and paywall performance.
Does AnalyticsCLI replace RevenueCat?
No—RevenueCat stays the monetization source; AnalyticsCLI adds product behavior context.
Can this find paywall opportunities?
Yes—when paywall events and subscription data connect, the workflow ranks opportunities.