app-analytics
When the user wants to set up, interpret, or improve their app analytics and tracking.
Skill by appeeky
Chalk Labs
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Install
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
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: testing, data
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
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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referral-program
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app-rejection-recovery
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When the user's app or update was rejected by Apple App Review or Google Play Review and they need to diagnose why, fix it, and resubmit fast.
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paywall-optimization
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When the user wants to design, test, or optimize their app's paywall — layout, copy, pricing display, trial offers, plan structure, hard vs soft paywall…
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ab-test-store-listing
appeeky
When the user wants to A/B test App Store product page elements to improve conversion rate.
SkillDFreshness: D★ 2.2KClaude Code +9 - 0.654score
app-icon-optimization
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When the user wants to design, test, or improve their app icon to increase tap-through rate and conversions in App Store search and browse.
SkillDFreshness: D★ 2.2KClaude Code +9 - 0.654score
competitor-analysis
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When the user wants to analyze competitors' App Store strategy, find keyword gaps, or understand competitive positioning.
SkillDFreshness: D★ 2.2KClaude Code +9 - 0.654score
app-store-featured
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When the user wants to get featured on the App Store or understand the editorial process.
SkillDFreshness: D★ 2.2KClaude Code +9 - 0.654score
app-clips
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When the user wants to implement, optimize, or use App Clips for app discovery and conversion.
SkillDFreshness: D★ 2.2KClaude Code +9
Signals
- Stars
- 2,212
- Forks
- 134
- Open issues
- 0
- Last commit (this folder)
- Feb 27, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0.0
- License
- MIT
- Repository
- github.com/appeeky/aso-skills
- Website
- appeeky.com/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from appeeky
- 0.786score
aso-router
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SkillBFreshness: B★ 2.2KClaude Code +9 - 0.729score
paywall-optimization
appeeky
When the user wants to design, test, or optimize their app's paywall — layout, copy, pricing display, trial offers, plan structure, hard vs soft paywall…
SkillCFreshness: C★ 2.2KClaude Code +9 - 0.729score
app-rejection-recovery
appeeky
When the user's app or update was rejected by Apple App Review or Google Play Review and they need to diagnose why, fix it, and resubmit fast.
SkillCFreshness: C★ 2.2KClaude Code +9 - 0.729score
category-positioning
appeeky
When the user wants to choose, change, or evaluate their App Store / Google Play category and subcategory — including primary vs secondary category…
SkillCFreshness: C★ 2.2KClaude Code +9 - 0.729score
custom-product-pages
appeeky
When the user wants to design, deploy, or measure Apple Custom Product Pages (CPP) — the alternate App Store product pages with different screenshots, preview…
SkillCFreshness: C★ 2.2KClaude Code +9 - 0.729score
referral-program
appeeky
When the user wants to design, launch, or optimize an in-app referral / invite / share-to-earn program — including reward structure, mechanics, fraud…
SkillCFreshness: C★ 2.2KClaude Code +9
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
app-analytics skill. Agent Mart. https://agentmart.dev/skills/appeeky-app-analytics (last updated 2026-10-24)