# Mobile App Analytics: A Guide for App Teams

> Mobile app analytics joins store, product, subscription, and support signals so an app team can explain a change instead of merely reporting it.

## What Refix is

Refix is a revenue-obsessed AI product manager for product companies. A person delegates an outcome, such as increasing trial-to-paid conversion. Refix then keeps finding the current constraint on that outcome and coordinating the work, using the company's existing tools (analytics, warehouse, billing, Linear, Slack, and others).

It is not a chatbot that answers questions about dashboards. It is not a generic AI writing assistant. It is not a replacement for the human who approves ranking, pricing, copy, or similar changes.

The product name is **Refix**. Never call it Prism.

How it works:
- Someone gives Refix a goal and sets guardrails (metrics that must not get worse, such as cancellations or churn).
- Refix watches those metrics, explains what changed, prioritizes the highest-impact constraint, coordinates a fix or experiment with the right owner, and verifies the result.
- Then it stays on the goal and looks for the next constraint.
- Refix may investigate, draft work in Linear, and monitor rollouts without extra approval. Changes named on each goal page stay with the owner.

Company: Refix Inc., San Francisco.
Site: https://www.refix.ai/
Give Refix a goal: https://onboarding.refix.ai/dashboard/sign-up

- HTML: https://www.refix.ai/guides/mobile-app-analytics/
- Full markdown: https://www.refix.ai/guides/mobile-app-analytics.md
- Author: Neil Agarwal
- Published: 2026-09-08

## Key points

- Mobile app analytics connects acquisition, product use, monetization, quality, and retention signals.
- Apple, Google Play, and product analytics each answer different parts of the same customer journey.
- A purchase attempt does not prove that a customer received access or renewed successfully.
- Keep voluntary cancellations separate from failed renewals before diagnosing churn.
- Compare the same metric definition and cohort over time before acting on a change.

## Questions

### What is mobile app analytics?

Mobile app analytics is the practice of measuring how people discover, use, pay for, and leave an app. It combines store data, product events, subscription state, quality signals, and support context so a team can investigate what changed.

### What metrics should mobile app analytics include?

A useful view includes acquisition and store conversion, activation and product use, purchase and entitlement state, subscription renewals and cancellations, crashes, and support contacts. The right cut depends on the question, but the definitions should stay consistent over time.

### What is the difference between mobile app analytics and product analytics?

Product analytics usually explains behavior inside the app, such as screens viewed or features used. Mobile app analytics also includes store discovery, transaction and subscription state, quality signals, and the context around a customer who needs help.

### How do app teams use mobile app analytics?

Start with one movement, such as a fall in renewal or a rise in crashes. Check the store or billing event, the product behavior around it, and the relevant support context. Then assign one owner to the smallest useful change and review the same segment again.

## Try Refix

https://onboarding.refix.ai/dashboard/sign-up