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AinScope
free Sensor Tower alternative for app intelligence
3 followers
free Sensor Tower alternative for app intelligence
3 followers
Search any iOS or Android app and get downloads, revenue, and MRR ā Sensor Tower style.
how do you estimate the revenue numbers for apps that don't publicly report earnings, and how accurate is it compared to sensor tower on the same datasets?
@egemensafe95621Ā
Downloads: On Android, Google Play itself publishes a "min installs" floor (e.g. "500M+") ā that's real public data, so I anchor to it. iOS doesn't expose an installs number, so I estimate from rating count using the industry rule of thumb that roughly 1 rating comes in per 100-200 downloads.
Revenue: I take estimated monthly downloads and multiply by a category-specific average revenue-per-download (games monetize very differently than, say, social apps), adjusted for price and whether the app has in-app purchases.
Accuracy vs. Sensor Tower: honestly, not as precise, and I don't claim otherwise. Their edge is a real device panel ā actual usage and spend data from millions of devices, built over a decade. That's a fundamentally different (and expensive) data source that public signals can't replicate. My numbers are directionally useful ā right order of magnitude, good for comparing apps to each other ā not exact, and I say that openly in the product rather than pretend otherwise.
I'm working on closing the gap: I just started daily historical tracking (rank/rating movement over time) to build my own calibration dataset, and the architecture is designed to plug in a real paid data provider later for users who need enterprise-level precision, while keeping the free heuristic tier for everyone else.