In 13 of 19 App Store countries we track, the #1 app has zero ratings

VolkanGunay — Mon, 31 Aug 2026 13:00:08 +0000

Everyone optimizing for the US App Store is fighting a wall built out of hundreds of ratings. Most of the map is not walled at all.

The number

Across the 19 storefronts in our measurement set, we looked at the median rating count of whichever app currently sits in first place for a tracked keyword. In 13 of the 19, that median is exactly zero.

Not "low." Zero. The app in first place, for a real search term, in that storefront, on the day we measured, had no ratings at all.

Norway, Taiwan, Russia, Mexico, Malaysia, Japan, Vietnam, Israel, Ukraine, Australia, South Korea, Indonesia, Thailand — thirteen storefronts where showing up with zero social proof is not a disadvantage, it's the norm at the top.

Why this matters more than it sounds

The standard playbook for a new app is: win your home market first, then localize outward. That plan implicitly assumes review count is a cost you pay once and reuse — build the wall at home, then go compete somewhere the wall is lower.

This data flips the ordering. If your home storefront is one of the six with a real wall (US, UK, and a handful of others), you're spending your most expensive months first and reaching your cheapest wins last — or never, if you run out of runway before you get there.

The inverse plan — launch broad across the zero-median storefronts before investing anywhere near the size of the US wall — is not intuitive, but it's what the actual distribution of competition supports.

What a single "difficulty" score hides

A tool that gives you one global difficulty number for a keyword is compressing 19 different competitive realities into one. In 6 of them that number is meaningfully high. In 13, it should functionally be close to zero, and isn't.

That compression is not a rounding error, it's a category-wide simplification that this specific dataset makes visible. The full per-storefront table, and the method behind it, is here: how many reviews it actually takes to rank, by country.

We publish this kind of country-level breakdown because it's the thing a single blended score can never show you. If you're deciding where to launch next, check the storefront before you check the keyword — Storelift tracks rank per storefront, not as a global average.

We measured 1,817 App Store search results. Reviews barely move rank.

VolkanGunay — Mon, 31 Aug 2026 04:40:30 +0000

Most ASO advice repeats the same line: get more reviews, rank higher. We had the data sitting around to actually check that, so we did.

The setup

We pulled 1,817 search-result records across 315 keywords — real ranked positions, read from the live App Store search, not an API that estimates them. For every result we already had the review count. Correlating the two took one line of code; the answer took longer to trust.

Pearson correlation between review count and rank: -0.09.

That is close enough to zero that the sign is not worth discussing. If review count were a meaningful ranking input, moving it should move rank in some visible, repeatable way across a sample this size. It does not.

What this does not mean

It does not mean reviews are worthless. They still do real work on the product page itself — a listing with zero reviews converts worse than one with a thousand, independent of where it ranks. What the number says is narrower and more useful: the rank story and the conversion story are not the same story, and most advice quietly treats them as one.

If you have been budgeting review-generation campaigns against a ranking goal, this is the moment to separate that goal from the review campaign and measure each on its own terms.

Where the wall actually sits

Reviews still gate you into contention in an indirect way, and that gate is wildly uneven by country. Median rating count of the app sitting in first place:

Storefront	Median (1st place)	Records
United States	259	360
Turkey	73	530

Same method, same window, same categories, more than 3x apart. A single global "keyword difficulty" score cannot represent both of these honestly — it is an average across walls that differ by a factor of three, presented as if it were one property of the keyword.

Try it on your own portfolio

Pull your own rank history against your review counts and run the same correlation. If your category behaves like ours, a quarter spent chasing reviews for a ranking effect is a quarter spent on the wrong lever. The full methodology and per-storefront breakdown — including why the count is a wall, not a driver — is here: how many reviews it actually takes to rank.

We build Storelift, a rank tracker that ships the raw numbers instead of a proprietary "difficulty" score — including the ones that complicate the story we'd rather tell.

DEV Community: VolkanGunay