AppMagic
App Usage & Downloads alternative data provider · 1 listed dataset
Datasets from AppMagic (1)
AppMagic is a mobile market intelligence platform that provides download and revenue estimates, top chart rankings, and competitive research for mobile games and applications across major app stores. It is designed for game developers, publishers, analysts, and growth teams conducting market research.[1]
In May 2026, AppMagic was acquired by Sensor Tower, its larger rival in the app intelligence market, for an undisclosed amount.[3][4]
What It Does
AppMagic compiles data from leading app stores to give users a view of app downloads, revenue, and user ratings, supporting market trend analysis and competitor monitoring.[1][5]
The platform highlights features such as high-precision classification of app genres, comparison of multiple apps and publishers, detection of successful soft launches, and evaluation of the monetary impact of app store featuring.[1]
Data and Methodology
Download and revenue figures are estimates modeled from store top-chart positions. According to the company, an app's chart position reflects actual performance with a delay of about one to two days, so estimates for the most recent two days are predictions that may be revised afterward.[2]
Products
The product set covers market intelligence for games and apps across mobile and PC, including top chart statistics, revenue estimations, competitor product research, and publisher comparison tools.[1][5]
Buyers and Use Cases
AppMagic targets publishers, analysts, and growth teams who use it for market research, spotting growth opportunities, benchmarking competitors, and informing app and game portfolio decisions.[1][5]
History
Sensor Tower announced the acquisition of AppMagic in May 2026. The deal followed Sensor Tower's earlier purchase of Data.ai, previously the market leader in app intelligence, and consolidated Sensor Tower's position in the app estimates market covering downloads, revenue, and usage.[3][4]
Questions to ask AppMagic
Which stores, countries, and app categories are covered, and where are estimates unavailable? How are download and revenue estimates calibrated from chart positions or other observed store signals? How large are revisions during the most recent days, especially for smaller apps? What historical methodology changes affect comparability, and are revised estimates versioned or available point-in-time?
Compliance and legal considerations
App-store-derived metrics are subject to the stores' access, licensing, and terms-of-service rules, and modeled estimates should not be presented as reported company figures. Buyers should document the provenance of each metric, permitted redistribution, and how revisions or methodology changes are disclosed.
Complementary signals
More datasets from AppMagic
AppMagic lists 1 datasets on this encyclopedia. The most representative listings:
More about App Usage & Downloads
App Usage & Downloads is one of the signal families covered by The Alternative Data Encyclopedia, with 14 providers and 51 datasets listed in the register. For how the signal is generated, its caveats and the compliance considerations, and the full provider list, see the category article.
Further reading
- Job postings as an investment signalWhy hiring data predicts fundamentals: growth intent, expansion geography, technology adoption and cost control, how postings are collected, structured and turned into tradeable indicators.
- Alt data delivery formats and pipelinesAPI, S3, Snowflake, Parquet, webhooks: how datasets are actually delivered, what each format costs operationally, and how to design ingestion that survives schema drift and vendor quirks.
- Web scraping and compliance in alternative dataHow scraped datasets are actually collected, where terms of service and computer-muse laws draw lines, what hiQ v. LinkedIn settled and did not, and the diligence checklist for legally fragile data.