Asc Metrics
When the user wants to analyze their own app's actual performance data from App Store...
Install
npx skills add appeeky/aso-skills --skill asc-metrics -g -a claude-code -y- Repository
- appeeky/aso-skills2.2k
- Category
- Mobile
- Updated
- 29d ago
- License
- MIT
- Context cost
- Lightabout 1,179 tokens
- Runs scripts
- No, instructions only
What it does
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.
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
- Check for
app-marketing-context.md, read it for app context - Ask: What do you want to analyze? (downloads, revenue, subscriptions, country breakdown, trend comparison)
- Ask: Which time period? (default: last 30 days)
- Ask: Specific app or all apps?
Fetching Data
Step 1, List available apps
GET /v1/connect/metrics/apps
Match the user's app to an app_apple_id if not already known.
Step 2, Get overview (portfolio)
GET /v1/connect/metrics?from=YYYY-MM-DD&to=YYYY-MM-DD
Step 3, Get app detail (single app)
GET /v1/connect/metrics/apps/:appId?from=YYYY-MM-DD&to=YYYY-MM-DD
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
