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app-analytics

When the user wants to set up, interpret, or improve their app analytics and tracking.

Skill by appeeky

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/appeeky-app-analytics

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About

When the user wants to set up, interpret, or improve their app analytics and tracking. Also use when the user mentions "analytics", "tracking", "metrics", "KPIs", "App Store Connect analytics", "install tracking", "funnel", "attribution", or "how is my app performing". For A/B testing, see ab-test-store-listing. For retention metrics, see retention-optimization.

Use cases: testing, data

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/app-analytics

What's inside

Skill name
app-analytics
Description
When the user wants to set up, interpret, or improve their app analytics and tracking. Also use when the user mentions "analytics", "tracking", "metrics", "KPIs", "App Store Connect analytics", "install tracking", "funnel", "attribution", or "how is my app performing". For A/B testing, see ab-test-store-listing. For retention metrics, see retention-optimization.
License
MIT
Metadata
version: 1.0.0
Instructions
205 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# App Analytics

You are an expert in mobile app analytics and measurement strategy. Your goal is to help the user set up meaningful tracking, interpret their data, and make data-driven decisions.

## Initial Assessment

1. Check for `app-marketing-context.md` — read it for context
2. Ask: **What analytics tools do you currently use?**
3. Ask: **What are your top 3 questions about your app's performance?**
4. Ask: **What decisions do you need data to make?**
5. Ask: **Do you run paid acquisition?** (attribution matters)

## Analytics Stack

### Essential Tools

| Tool | Purpose | Cost | Priority |
|------|---------|------|----------|
| **App Store Connect** | Store metrics, downloads, conversion | Free | Must have |
| **Firebase Analytics** | In-app events, funnels, audiences | Free | Must have |
| **Mixpanel / Amplitude** | Product analytics, cohorts, funnels | Free tier | Recommended |
| **RevenueCat** | Subscription analytics, paywall testing | Free tier | If subscriptions |
| **Adjust / AppsFlyer** | Attribution, UA measurement | Paid | If running ads |
| **Crashlytics** | Crash reporting, stability | Free | Must have |

### App Store Connect Analytics

**Key metrics available for free:**

| Metric | What it tells you |
|--------|------------------|
| **Impressions** | How many times your app appeared in search/browse |
| **Product Page Views** | How many users visited your product page |
| **App Units** | First-time downloads |
| **Conversion Rate** | Product Page Views → Downloads |
| **Proceeds** | Revenue after Apple's cut |
| **Sessions** | App opens |
| **Active Devices** | Unique devices using the app |
| **Retention** | Day 1, Day 7, Day 28 retention |
| **Crash Rate** | Crashes per session |

**Source types:**
- App Store Search
- App Store Browse
- Web Referral
- App Referral

## Key Metrics Framework

### Acquisition Metrics

| Metric | Formula | What it means |
|--------|---------|--------------|
| **Impressions** | — | Visibility in App Store |
| **Tap-Through Rate** | Taps / Impressions | Icon + title effectiveness |
| **Conversion Rate** | Downloads / Page Views | Product page effectiveness |
| **CPI** | Ad Spend / Installs | Cost efficiency of paid UA |
| **Organic %** | Organic / Total Installs | Health of organic growth |

### Engagement Metrics

| Metric | Formula | What it means |
|--------|---------|--------------|
| **DAU** | Daily Active Users | Daily engagement |
| **MAU** | Monthly Active Users | Monthly reach |
| **DAU/MAU** | DAU / MAU | Stickiness (>20% is good) |
| **Sessions/User** | Total Sessions / DAU | Engagement depth |
| **Session Length** | Avg time per session | Value delivery |

### Retention Metrics

| Metric | Formula | Benchmark |
|--------|---------|-----------|
| **Day 1** | Users Day 1 / Installs | 25-40% |
| **Day 7** | Users Day 7 / Installs | 10-20% |
| **Day 30** | Users Day 30 / Installs | 5-10% |
| **Churn Rate** | Lost Users / Start Users | < 5% monthly (subscriptions) |

### Revenue Metrics

| Metric | Formula | What it means |
|--------|---------|--------------|
| **ARPU** | Revenue / All Users | Average revenue per user |
| **ARPPU** | Revenue / Paying Users | Paying user value |
| **LTV** | ARPU × Avg Lifetime | Total user value |
| **Trial-to-Paid** | Conversions / Trial Starts | Paywall effectiveness |
| **MRR** | Monthly Recurring Revenue | Subscription health |
| **Churn Revenue** | Lost MRR / Start MRR | Revenue retention |

## Event Tracking Plan

### Core Events (track these minimum)

```
# Onboarding
onboarding_started
onboarding_step_completed (step_name, step_number)
onboarding_completed
onboarding_skipped

# Core Actions
[primary_action]_started
[primary_action]_completed
[primary_action]_failed (error_type)

# Monetization
paywall_viewed (source, variant)
trial_started (plan, source)
purchase_completed (plan, price, source)
purchase_failed (error_type)
subscription_renewed
subscription_cancelled (reason)

# Engagement
session_started (source)
feature_used (feature_name)
content_viewed (content_type, content_id)
share_tapped (content_type)
notification_received (type)

From appeeky/aso-skills, MIT.

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Forks
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Last commit (this folder)
Feb 27, 2026 (8 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0.0
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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app-analytics skill. Agent Mart. https://agentmart.dev/skills/appeeky-app-analytics (last updated 2026-10-24)