asc-metrics

Analyze App Store Connect metrics to explain download, revenue, and subscription funnel changes.

1.7k|111|Updated Feb 27, 2026
One-click install
npx skills add https://github.com/Eronred/aso-skills --skill asc-metrics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: asc-metrics
Source: https://github.com/Eronred/aso-skills/tree/main/skills/asc-metrics
Command: npx skills add https://github.com/Eronred/aso-skills --skill asc-metrics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you understand why your app’s downloads and revenue changed by turning real App Store Connect data into clear, actionable performance insights.

Core Features & Use Cases

  • Real ASC-backed metrics: Analyzes first-party downloads, revenue, IAP, subscriptions, trials, and country-level breakdowns synced via Appeeky Connect.
  • Period-over-period and trend analysis: Compares equal time windows and highlights spikes/drops using daily trends.
  • Actionable monetization and market signals: Evaluates ARPD, trial rate, trial→sub conversion, and flags markets that look strong for ASO or localization.

Quick Start

Ask the assistant: "Analyze my App Store Connect metrics for app id 1617391485 for the last 30 days, compare to the prior 30 days, and tell me which countries and funnel stages need attention."

Frequently Asked Questions about asc-metrics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze App Store Connect metrics to find why my downloads or revenue changed?

App Store Connect metrics analysis uses first-party download, revenue, and subscription data synced via Appeeky Connect to explain period-over-period changes and diagnose daily spikes or drops. It computes benchmarks and trends from daily and country-level totals to identify actionable performance insights.

What is the best way to compare app performance metrics across different time periods?

Comparing app performance metrics across time periods involves fetching portfolio or app-specific data for equal time windows and computing trend variations. This period-over-period analysis highlights daily trends, calculates ARPD, and evaluates trial conversion rates to pinpoint monetization shifts.

How do I diagnose a sudden drop in app subscription conversions?

Diagnosing a sudden drop in app subscription conversions requires analyzing the subscription funnel outcomes from App Store Connect data. By comparing trial rates and trial-to-subscription conversion metrics period-over-period, you can identify exactly which funnel stage degraded.

Can I use Appeeky Connect to get a country breakdown for App Store monetization decisions?

Appeeky Connect supports fetching country-level breakdowns for App Store monetization decisions. It processes app-specific metric data to evaluate country performance, flagging markets that look strong for ASO or localization to prioritize revenue growth.

Do I need an app id to analyze App Store Connect performance trends?

You need a specific app id to analyze App Store Connect performance trends for an individual application. Providing the app id allows the analysis to fetch app-specific metric data for the requested date range and compute precise benchmarks, daily trends, and country totals.

What App Store Connect metrics are needed to evaluate trial to subscription conversion?

Evaluating trial to subscription conversion requires App Store Connect metrics including trials, subscriptions, and revenue totals. Analyzing these metrics computes the trial rate and conversion benchmarks, identifying friction points in the monetization funnel.