Scrape App-Store Analytics to Find Proven, Weakly-Defended Markets

Scrape App-Store Analytics to Find Proven, Weakly-Defended Markets is a first users & traction tactic for getting your first users: He wrote a script to scrape App Annie analytics, then ranked apps by estimated earnings, downloads and ratings to surface categories with big userbases, low ratings, and in-app purchases — proven demand with weak incumbents.

It's a strong fit for E-commerce / DTC teams, and works especially well for app/game and tool builders picking what to make. As a first users & traction play, plan for high effort and expect results to build gradually over time, all grounded in 1 linked primary source.

First users & tractionHigh effortSlow

Why does first users & traction work for this?

Entering a market with proven paying demand and weak competitors beats betting on a novel unproven idea.

The exact steps (4)

The full step-by-step this founder ran, what they posted, where, and in what order, plus the watch-outs, is part of the library.

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Sources

Frequently asked

What kind of products does the "Scrape App-Store Analytics to Find Proven, Weakly-Defended Markets" tactic work for?
It is a good fit for E-commerce / DTC — pick it when your product looks like that, since the play is shaped around how those users find new tools.
How is the "Scrape App-Store Analytics to Find Proven, Weakly-Defended Markets" tactic verified?
It is drawn from 1 primary source — a real founder write-up or interview, not generic advice. It is linked in the Sources section above so you can read the original account yourself.
How much effort is it and how fast are results?
It is high effort, and results tend to be slow.
Where can I see the exact step-by-step?
The full step-by-step a founder ran, documented via Source — IndieHackers, is in the paid library.

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