Agent skill · data analytics · eronred
asc-metrics
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", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.
Why this skill is useful
Provides specific API commands and analysis frameworks for extracting and interpreting App Store Connect performance data that the AI wouldn't reliably generate on its own.
What it needs
Requires appeeky account access. About 3k tokens when loaded. Last updated 2026-07-27. 1,725 stars on the source repository.
What this skill does
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 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 appappleid 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 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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills eronred/asc-metrics