A Google Analytics alternative for product agents
GA4 is traffic and marketing analytics. AnalyticsCLI turns product events into Growth Engineer recommendations for onboarding, monetization, and retention.
Product data preview
Signals to agent context
Funnels, instrumentation, and evidence your coding agent can act on.
Use AnalyticsCLI when your AI Growth Engineer needs product events, revenue context, crash signals, 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.
- Teams needing product behavior over traffic attribution
- Agents inspecting production signals before coding
- Products combining events, revenue, crashes, and GitHub
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 events with a clear taxonomy.
- Review funnels and retention from release data.
- Run the Growth Engineer with connected signals.
- Review and ship the recommended handoff.
What you get back
The output should be concrete enough to review without opening five dashboards.
- Built for product work and agent context.
- Mobile and SaaS beyond pageviews.
- Public LLM-readable summaries for AI tools.
Common questions
Quick answers before you connect product data to an agent.
Is this a marketing attribution tool?
No—product analytics and Growth Engineer workflows. Use other tools for attribution.
Why not just use GA4 events?
GA4 helps reporting; AnalyticsCLI lets agents query evidence and create implementation work.
Can it help with retention?
Yes—retention events feed Growth Engineer recommendations.