What is ASO Historical Data?
Introducing the ultimate tool for app analysis on Play Store and App Store. Get in-depth insights with Rating History, MHR History, Metadata Title and Description, Keyword History, and Category History.
Problem
Users trying to understand and improve app performance on Play Store and App Store face challenges in gathering comprehensive historical data. Current solutions may lack depth in aspects such as Rating History, MHR History, Metadata Title and Description, Keyword History, and Category History, which limits strategic app enhancements and competitive analysis.
Solution
A tool providing in-depth app analysis with historical data insights like Rating History, MHR History, Metadata Title and Description, Keyword History, and Category History. Users can analyze trends over time and strategize accordingly.
Customers
App developers, marketers, and app analytics professionals seeking to enhance app visibility and performance on Play Store and App Store. These users typically engage in detailed app performance analysis and strategic planning based on data.
Unique Features
Comprehensive historical data analysis for app metrics on both Play Store and App Store.
Detailed insights into metadata changes and their impact over time.
Ability to track and understand keyword and category history.
Focus on data that supports ASO (App Store Optimization) strategies.
User Comments
Users appreciate the depth of data available for app analytics.
Some report the tool as essential for competitive app store analysis.
The historical insights are seen as beneficial for improving ASO strategies.
Some customers found the interface user-friendly and easy to navigate.
A few users mentioned they would appreciate additional integrations with other analytics tools.
Traction
Launched with initial active users focusing on ASO insights.
Detailed traction metrics unavailable from the provided sources.
Market Size
The global app analytics market was valued at approximately $1.9 billion in 2020 and is expected to grow significantly as app developers and marketers increasingly rely on data-driven decisions.
