App intelligence

App intelligence tools collect what the App Store and Google Play publish, add their own signals and models, and turn the result into searchable data on apps, developers, categories and countries. Developers use it to size a market and track competitors, marketers to plan ASO and acquisition, investors to screen companies, and SDK and ad-tech sales teams to find prospects.

Most vendors build on three layers. The first is public store signals: daily chart ranks, metadata, ratings, reviews and versions. The second is private data from developers who connect their store accounts, which trains and tests the models. The third, used by the largest providers, is a consumer panel that observes usage on real devices. Download and revenue figures are almost always estimates, and published accuracy is thin: Appfigures cites a median absolute error of 5 to 25%, while several large vendors publish no figures at all.

When you evaluate a provider, ask which numbers are measured and which are modeled, how fresh each one is, whether revenue is gross or net and store only, and what the back-tested error is by rank tier. AppMetis labels every number as Measured, Estimated, Beta or Coming soon, and its Android install figures are Google Play's own exact counts. See Market Intelligence for what is covered.