analytics-interpretation

Interpret app analytics metrics and diagnose performance issues.

603|51|Updated Oct 29, 2025

Search Tags:#analytics #metrics #data analysis #growth #retention #app store connect

Ready to run

npx skills add https://github.com/rshankras/claude-code-apple-skills --skill analytics-interpretation-rshankras

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analytics-interpretation
Source: https://github.com/rshankras/claude-code-apple-skills/tree/main/skills/growth/analytics-interpretation
Command: npx skills add https://github.com/rshankras/claude-code-apple-skills --skill analytics-interpretation-rshankras

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you understand your app's performance by interpreting complex metrics, diagnosing issues, and guiding data-driven decisions for growth.

Core Features & Use Cases

Metric Interpretation: Understand DAU/MAU, retention, LTV, ARPU, and App Store Connect analytics.
Funnel Analysis: Diagnose bottlenecks in acquisition, activation, retention, revenue, and referral using AARRR framework.
Cohort Analysis: Track user retention over time for subscription-based apps.
Diagnostic Trees: Provides step-by-step guidance for common metric problems.
Use Case: You have App Store Connect data showing low D7 retention. This Skill will help you pinpoint why users aren't returning after the first week and suggest specific actions to improve it.

Quick Start

Analyze my app's D7 retention rate and suggest improvements.

Frequently Asked Questions about analytics-interpretation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I interpret app analytics metrics like DAU, MAU, and retention?▼

Interpreting app analytics metrics involves comparing DAU and MAU to gauge stickiness, while tracking retention cohorts over time to diagnose engagement drops and identify growth opportunities.

What is the best way to diagnose low D7 retention in my app?▼

Diagnosing low D7 retention involves applying diagnostic decision trees to App Store Connect data to identify activation bottlenecks and suggest actions for improving returning users.

How do I use the AARRR framework for app funnel analysis?▼

Using the AARRR framework for app funnel analysis systematically evaluates acquisition, activation, retention, revenue, and referral stages to isolate drop-off points in your growth funnel.

Can I analyze App Store Connect subscription data using cohort analysis?▼

Yes, analyzing App Store Connect subscription data with cohort analysis tracks user retention over time, revealing exactly when churn impacts lifetime value for subscription-based apps.

Do I need to understand LTV and ARPU to diagnose app performance issues?▼

Understanding LTV and ARPU is required to diagnose app performance issues, as these monetization metrics inform revenue strategies and reveal whether acquisition costs remain sustainable.

Why does my app store connect data show revenue bottlenecks despite high downloads?▼

App Store Connect revenue bottlenecks despite high downloads indicate activation or retention failures, where applying AARRR funnel analysis isolates where users drop off before monetization events.