app-analytics

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-s

By eronred · 2,872 installs

npx skills add eronred/aso-skills --skill app-analytics

Source repository · Upstream listing

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) Event Naming Conventions Use snake case Format: [object] [action] (e.g., photo saved , workout completed ) Be specific but not too granular Include relevant properties (but not PII) Consistent across platforms Dashboard Setup Executive Dashboard (check weekly) Funnel Dashboard (check daily) Cohort Dashboard (check monthly) Retention curves by: Install date cohort Acquisition source Country Subscription plan Output Format Analytics Audit Tracking Plan Provide a complete event tracking plan with: Event name When it fires Properties to include Which tool tracks it Metric Interpretation When the user shares data, provide: How their metrics compare to benchmarks What the trends indicate Specific actions to take based on the data Related Skills ab test store listing — Measure test results retention optimization — Interpret retention data monetization strategy — Revenue metric optimization ua campaign — Attribution and UA metrics