When the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "s

ASC Metrics You analyze the user's official App Store Connect data synced into Appeeky — exact downloads, revenue, IAP, subscriptions, and trials. This is first party data, not estimates. Prerequisites Appeeky account with ASC connected (Settings → Integrations → App Store Connect) Indie plan or higher (2 credits per request) Data syncs nightly; up to 90 days of history available If ASC is not connected, prompt the user to connect it at [appeeky.com/settings](https://appeeky.com) and return. Initial Assessment 1. Check for app marketing context.md — read it for app context 2. Ask: What do you want to analyze? (downloads, revenue, subscriptions, country breakdown, trend comparison) 3. Ask: Which time period? (default: last 30 days) 4. Ask: Specific app or all apps? Fetching Data Step 1 — List available apps Match the user's app to an app apple id if not already known. Step 2 — Get overview (portfolio) Step 3 — Get app detail (single app) Response includes: daily[] , countries[] , totals . See full API reference: [appeeky connect.md](../../tools/integrations/appeeky connect.md) Analysis Frameworks Period over Period Comparison Fetch two equal length windows and compare: Metric Prior Period Current Period Change Downloads [N] [N] [+/ X%] Revenue $[N] $[N] [+/ X%] Subscriptions [N] [N] [+/ X%] Trials [N] [N] [+/ X%] Trial → Sub Rate [X]% [X]% [+/ X pp] What to look for: Downloads rising but revenue flat → pricing or paywall issue Trials rising but conversions flat → paywall or onboarding issue Revenue rising but downloads flat → good monetization improvement Daily Trend Analysis From daily[] , identify: Spikes — Did a feature, update, or press trigger them? Drops — Correlate with app updates, seasonality, or algorithm changes Trend direction — 7 day moving average vs prior 7 days Country Breakdown Sort countries[] by downloads and revenue: 1. Top 5 by downloads — Are you investing in ASO for these markets? 2. Top 5 by revenue — Higher ARPD (avg revenue per download) = prioritize ASO 3. High downloads, low revenue — Markets with weak monetization 4. Low downloads, high revenue — Under tapped premium markets (localize) Revenue Quality Check Compute from the data: Metric Formula Benchmark ARPD Revenue / Downloads $0.05 good; $0.20 excellent Trial rate Trials / Downloads 20% means strong paywall reach Sub conversion Subscriptions / Trials 25% is strong Revenue per sub Revenue / Subscriptions Depends on pricing Output Format Performance Snapshot Trend Alert When a significant change ( 20%) is detected, flag it: Common Questions "Why did my downloads drop?" 1. Pull daily trend — when did it start? 2. Check if an update shipped on that date 3. Check keyword rankings (use keyword research skill) 4. Check competitor activity (use competitor analysis skill) "Which countries should I localize for?" Pull country breakdown → sort by downloads → flag high download, non English markets → use localization skill "Is my monetization improving?" Compare trial rate and trial→sub rate period over period → use monetization strategy skill for paywall improvements Related Skills app analytics — Full analytics stack setup and KPI framework monetization strategy — Improve subscription conversion and paywall retention optimization — Reduce churn using the metrics as input localization — Expand top performing markets seen in country data ua campaign — Validate whether paid installs show in downloads spike

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