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AppStoreStatistics

App Store analytics and ASO tool for tracking performance and optimizing visibility

Surfacing on:ph

Hot score

40/100

Tracking since 2026-05-17. Saturation 18%.

The sections below are AI-summarized from the source platforms listed at the bottom. Always verify against the original sources before acting on the information.

What is AppStoreStatistics?

Based on community signals so far, AppStoreStatistics is a tool designed to help developers and marketers analyze App Store data and optimize their App Store Optimization (ASO) strategies. It likely provides insights into app rankings, keyword performance, reviews, and competitor analysis. The tool aims to solve the problem of understanding how an app is performing in the App Store and what changes can improve its visibility and downloads. While specific features and pricing are not yet fully documented, early signals suggest it targets indie developers and small studios who need actionable data without the complexity of enterprise-level tools. As a relatively new entrant, users should verify capabilities through official sources.

How to use this signal

Three ways a creator, builder, or agent can put AppStoreStatistics to work today. Each comes with a copy-paste prompt for ChatGPT or Claude.

  1. Write a launch / coverage article

  2. Add to competitive monitoring

  3. Try it / share take

Key features

  • Track app rankings and keyword positions
  • Analyze competitor app performance
  • Monitor reviews and ratings trends
  • Identify high-impact keywords for ASO
  • Visualize download and revenue estimates
  • Export data for reporting and analysis

Who should use this

Indie app developers and ASO specialists who need straightforward analytics to improve App Store visibility and track competitor performance without enterprise pricing.

Comparable tools

Other tools tracked by trendsmeter in the same space.

Where it's surfacing

Source trail

1 source attached to this trend.

Trend velocity

rising

Saturation

18%

Schema

Word v1

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The daily feed, API, and MCP endpoint all read the same schema.

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