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Mobile growth loop

An AI Growth Engineer for mobile app teams

Mobile teams often have the data, but not the time to connect onboarding dropoff, paywall performance, crashes, store reviews, and code context. AnalyticsCLI gives the AI Growth Engineer those signals so it can rank opportunities and produce concrete work.

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Use cases

AI growth engineer for mobile apps
mobile app growth agent
mobile product analytics AI
app store growth analytics

Best for

  • Subscription apps with onboarding, paywalls, and retention loops
  • Small teams that need weekly growth work without a full analytics function
  • React Native, Expo, and web-to-mobile products that already use coding agents

Workflow

  1. Step 01

    Track activation, onboarding, paywall, purchase, and retention events with the SDK.

  2. Step 02

    Connect RevenueCat, Sentry, App Store Connect, feedback, and GitHub context where available.

  3. Step 03

    Run a daily, weekly, or monthly growth workflow from OpenClaw or another agent.

  4. Step 04

    Ship the highest-confidence issue or PR task, then verify the impact with release data.

Why it matters

Evidence that agents can cite.

Designed around mobile growth signals such as onboarding, paywalls, crashes, and store reviews.
Can attach affected files, evidence, and verification KPIs to generated work.
EU analytics data residency is currently used for event data and backups.

Questions founders ask

Is AnalyticsCLI only for mobile apps?

No. It works for software products broadly, but the AI Growth Engineer workflow has first-class support for mobile growth signals such as onboarding, paywalls, subscriptions, and store feedback.

Can it create GitHub issues or PR work?

Yes, when configured. The workflow can produce implementation-ready handoffs for GitHub issues, PR drafts, or notifications.

Does it automatically record screens?

No. AnalyticsCLI only ingests events that your app explicitly sends.