Quick answer: longer keywords score easier — but the whole measurable difference is spent by the third word. Across 862 live difficulty checks (505 iOS, 357 Google Play), one-word iOS keywords averaged 70.1 difficulty (n = 130) and two-word keywords averaged 57.0 (n = 222) — a 13.1-point gap — with three-word keywords at 53.4 (n = 101). Google Play traced the same shape: 53.1 → 44.5 → 41.3. At four words the pattern flattens and reverses on both stores, on samples too small to trust.
Two things to hold before the numbers: these are keywords AppDrift users chose to check, not a random sample of the store, and Google Play's public search only exposes about 25–30 results, so Android scores are computed over a much shallower field than iOS scores. Both caveats are spelled out in full below — they change how far each finding travels.
Last updated: August 10, 2026.
What counts as a long-tail app store keyword?
"Long-tail" usually gets defined by vibes — a phrase that feels specific. We define it by word count, because word count is the one property you can measure before spending a single character of metadata. One word is a head term. Two and three words are the long tail. Four and up is where, in our data, the theory starts to break down.
The corpus is 862 scored checks pulled from live store search results: 505 on iOS (469 distinct keywords, 10 country storefronts, from February 20, 2026) and 357 on Google Play (357 distinct keywords, 2 countries, from March 9, 2026) — real checks developers ran against the scoring model behind our free keyword difficulty checker, aggregated and anonymized. It is an expanded re-run of the 604-check corpus we published on August 2.
That origin is also the study's first limit. Nobody drew these keywords at random: they are terms developers typed in because they were already considering them, which skews the corpus toward independent apps and the niches they compete in. Everything below describes the keywords developers like you are evaluating — not the App Store as a whole, and not what the top charts are doing.
Do keywords with more words score easier?
In this corpus, yes — and the size of the gap is the finding. One caveat on how to read the table: these are averages of different keywords grouped by length, not the same keyword measured before and after a word was added. We can tell you that longer phrases scored lower; we cannot tell you that lengthening a specific phrase will lower its score. Every cell carries its sample size, because some are small and you should be able to see which:
| Words in keyword | iOS n | iOS avg difficulty | Android n | Android avg difficulty |
|---|---|---|---|---|
| 1 word | 130 | 70.1 | 109 | 53.1 |
| 2 words | 222 | 57.0 | 143 | 44.5 |
| 3 words | 101 | 53.4 | 82 | 41.3 |
| 4 words | 26 | 61.9 | 20 | 44.1 |
| 5 words | 18 | 56.1 | — | — |
The first gap does the heavy lifting. On iOS, one word to two is a 13.1-point difference in average difficulty; two to three adds a further 3.6. On Google Play the same two steps measure 8.6 and 3.2. The one-to-two gap is the larger one on both stores — roughly four times the two-to-three gap on iOS (13.1 against 3.6) and closer to three times on Google Play (8.6 against 3.2) — with the two largest cells in the dataset behind it (n = 222 and n = 143).
Read that table down its columns, not across them. Google Play's public search returns only about 25–30 results per query no matter how many you request, while iOS search exposes far more. An Android difficulty score is therefore computed over a much shallower field of competitors than an iOS score — the Android column sits lower partly because there is less of it to see. The shape of the two columns matching is the interesting part; the levels are not directly comparable.
Where does the pattern stop?
At four words — the part most "go long-tail" advice leaves out, and our own data does not let us leave out.
iOS four-word keywords averaged 61.9 difficulty (n = 26) — higher than both the three-word average (53.4) and the two-word average (57.0). Five-word iOS keywords came back to 56.1 (n = 18). Google Play four-word keywords averaged 44.1 (n = 20), also above their three-word figure of 41.3. The honest shape of this dataset is not a clean line sloping downward: it drops hard, flattens, then bends back up.
Hold two things at once. The four- and five-word cells are small — 26, 18 and 20 checks, against 222 for the two-word iOS cell — so confidence at the long end is genuinely low, and those numbers could move with another few hundred checks. But the practical read is the same either way: two and three words is where the entire measured difference lives. Nothing here says a four- or five-word phrase scores easier still, so do not plan around the assumption that it will.
Do shorter keywords score harder, too?
Character length is a second cut of the same corpus, and it traces the same shape with a longer runway. It is not independent evidence — more words almost always means more characters, so the two measures are largely re-describing the same keywords. Treat it as a consistency check, not a second confirmation. The same iOS checks, bucketed by character count:
| Keyword length | n | Avg iOS difficulty |
|---|---|---|
| 3–5 characters | 54 | 73.4 |
| 6–10 characters | 102 | 64.4 |
| 11–15 characters | 162 | 58.8 |
| 16–20 characters | 114 | 54.6 |
| 21–25 characters | 48 | 52.8 |
| 26–30 characters | 20 | 56.1 |
A three-to-five character query averages 73.4 — the hardest cell in the study. By 21 to 25 characters the average is 52.8, more than twenty points lower. Then, exactly as with word count, the last cell ticks back up: 26 to 30 characters averaged 56.1 on just 20 checks. Both cuts stop improving at roughly the same place. Because they are not independent measures, that agreement is internal consistency rather than corroboration — and the final cell rests on 20 checks, which makes it the single number here most likely to move as the corpus grows.
Why is the same keyword "Very hard" on iOS but only "Competitive" on Android?
Averages are abstract, so here is one keyword, one country, one day. We scored habit tracker on the US storefront of both stores on August 10, 2026:
| "habit tracker", US, 2026-08-10 | iOS App Store | Google Play |
|---|---|---|
| Difficulty | 82 — Very hard | 62 — Competitive |
| Popularity | 85 / 100 | 60 / 100 |
| #1 result | Habit Tracker (InnerGrow) — 4.8, 145,107 reviews | Loop Habit Tracker (Álinson S Xavier) — 4.7, 3,404 reviews |
| #3 result | Finch: Self-Care Pet — 4.9, 737,731 reviews | Habit Tracker – HabitKit — 4.7, 294 reviews |
Same two-word phrase, same day. On iOS the #1 and #3 slots carry 145,107 and 737,731 reviews; on Play the #1 carries 3,404. Then the detail that makes the abstraction concrete: Habit Tracker – HabitKit by Sebastian Röhl appears in both results — ranked #2 on iOS with 2,325 reviews and #3 on Google Play with 294 reviews. One app, one keyword, one day, and the review mass sitting around a near-identical position differs by roughly an order of magnitude.
Before you read that as "Play is easier," note what is being measured. Because Play's public search only exposes about 25–30 results, the Google Play score is computed over a shallower slice of competitors than the iOS score for the same query — part of the 82-versus-62 gap is a measurement artifact, not purely a competitive one. And a shallower field cuts both ways for you: on Play there are only ~30 visible slots to win, so rank #31 is effectively invisible, while on iOS there is real room to climb before you reach the positions that matter. The store-level version of this gap, measured across the whole corpus, is the subject of our iOS vs Android keyword difficulty study.
Why do so few iOS keywords come out winnable and wanted?
Because on the App Store, "popular" and "hard" track each other closely enough to be nearly the same axis. In our corpus, difficulty and popularity correlate at r = 0.771 on iOS (n = 505) but only r = 0.505 on Google Play (n = 357). That is a correlation between two scores, not a mechanism — we are not claiming one produces the other.
The gap between those two figures tracks most of what follows. On iOS, an easy keyword is usually a keyword nobody searches: the two properties move together tightly enough that "low difficulty" is close to a synonym for "low demand." On Google Play they decouple substantially, leaving more room for keywords that are winnable and wanted at once. That is not a verdict on which store is better; it is a map of where the gaps sat in this sample.
How many keywords actually pass both filters?
We defined a sweet spot the strict way — difficulty under 40 and popularity at 40 or above — and counted:
- iOS: 18 of 505 checks — 3.6%.
- Google Play: 79 of 357 checks — 22.1%.
One in twenty-eight versus better than one in five — though those two pass rates are not measured over the same competitive depth, for the reason above. If you are hunting on iOS, budget for scoring a lot of candidates to find one keeper.
The other half of that result is the reason difficulty alone is a bad filter: there were zero traps in the entire corpus — not one keyword on either platform scored 70 or above on difficulty while scoring under 30 on popularity. Nothing we measured was hard and unwanted. We cannot tell you from this data why that quadrant is empty; we can tell you it was empty across all 862 checks. The practical consequence stands either way: sorting a list by difficulty ascending does not surface hidden gems, it surfaces the tail of things nobody wants.
Are long-tail keywords easier outside the US?
Possibly, but we cannot honestly tell you so yet. The US is the only storefront with a real sample: 403 iOS checks averaging 61.9 difficulty, 356 Android checks averaging 46.3. Every other cell is tiny, and every one of them is iOS — Canada 60.5 (n = 18), Great Britain 59.5 (n = 17), Germany 52.0 (n = 14), France 49.8 (n = 14), Brazil 49.3 (n = 11), Japan 51.7 (n = 9), Spain 40.9 (n = 8), Australia 43.0 (n = 8). Every non-US cell has fewer than 20 checks behind it, and Google Play is effectively US-only here: 356 of its 357 checks are the US storefront, so we have nothing to say about international Play difficulty at all. Read that list as a hint worth testing on your own keywords, not a finding to act on.
So how do you find easy app store keywords for your app?
Four concrete moves, straight out of the numbers above.
1. Score the two- and three-word variant of every head term before you commit a character. That is where the 13.1-point and 3.6-point gaps sit in our data, and checking a candidate costs you one lookup instead of a release cycle. You can score the two- and three-word variant yourself free, on either platform, in ten countries.
2. Generate the variants systematically, not by brainstorm. Feed the head term into a tool that will generate longer-tail variants of a head term from live store autocomplete, then score the shortlist. The full process — seed selection, autocomplete harvesting, mapping keywords to metadata fields — is a different job than this article and is covered end to end in the full keyword research workflow.
3. On iOS, never read difficulty without popularity beside it. At r = 0.771 the two move together, so an iOS keyword scoring under 40 difficulty is more likely dead than open. Apply both filters — under 40 difficulty, 40 or above popularity — and expect to score a lot of candidates per keeper; in our sample one in twenty-eight passed, which is an order of magnitude to plan around, not a rate to expect in your niche. Then check where you rank for it today, before and after you change anything.
4. Stop at three words. If a four- or five-word phrase is genuinely how your users describe the problem, use it — because it is accurate, not because you expect it to be easier. Our data does not support that expectation.
Methodology and limitations
Every score comes from the live top-10 search results for that keyword in that country's store at check time, using the same model on both platforms: review strength and rating quality of those top results, how many carry the keyword in their title, and how many distinct publishers hold those slots, combined into a 0–100 difficulty score. Popularity is a separate 0–100 score. The corpus is 862 checks — 505 iOS (469 distinct keywords, 10 countries, from February 20, 2026) and 357 Android (357 distinct, 2 countries, from March 9, 2026) — an expanded re-run of the 604-check corpus published on August 2. Four limitations to weigh:
The sample is self-selected, not random. These are keywords AppDrift users chose to check because they were considering them — a demand-driven sample skewed toward independent developers and the niches they build in, not a random draw from everything people search. It describes the keywords developers like you are evaluating, not the store as a whole.
Google Play only shows about 25 to 30 results. Play's public search returns roughly 25–30 results for most queries no matter how many you ask for, far fewer than iOS search exposes. Android difficulty is therefore measured over a much shallower field of competitors. Android scores compare to Android scores and iOS to iOS — the two are not apples-to-apples, and the store-to-store gap in the "habit tracker" example is partly a measurement artifact, not purely a competitive one.
Popularity uses different signals per platform. Google Play popularity leans on install signals, iOS on review volume, so popularity should never be compared across stores. Within a store it is consistent, which is why the correlations (r = 0.771 iOS, r = 0.505 Android) are computed per platform and reported separately.
Small cells are directional only. The four-word (n = 26 iOS, n = 20 Android), five-word (n = 18 iOS) and 26–30 character (n = 20) cells, plus every non-US country row, are all under 30 observations. We report them because hiding them would misrepresent the shape of the data — but they are hints, not findings.
Frequently asked questions
What are long-tail keywords in the App Store?
A long-tail app store keyword is a multi-word search phrase that describes a specific intent — "habit tracker for students" rather than "habit." In this study we define it strictly by word count, because word count is the one property you can measure before you spend metadata on it: one word is a head term, two and three words are the long tail that still carries measurable demand.
Do long-tail keywords have lower keyword difficulty?
In our sample, yes — up to three words. One-word iOS keywords averaged 70.1 difficulty (n = 130), two-word 57.0 (n = 222) — a 13.1-point gap — and three-word 53.4 (n = 101). Google Play ran 53.1 (n = 109), 44.5 (n = 143), 41.3 (n = 82). These are different keywords grouped by length, not the same keyword lengthened, so read it as a pattern across phrases rather than a before-and-after. The pattern also does not continue: iOS four-word keywords averaged 61.9 (n = 26), higher than two- and three-word phrases. Those cells are small, so confidence at four-plus words is low.
How many words should an App Store keyword be?
On this evidence, two or three. The one-word to two-word gap measured 13.1 points of difficulty on iOS and 8.6 on Google Play; two to three added a further 3.6 and 3.2. Past three the gap disappeared in our sample — iOS four-word keywords averaged 61.9 (n = 26), Android 44.1 (n = 20), both above their three-word figures. Use four words when four words is genuinely how users phrase it, not as a difficulty tactic.
How do I find low-competition App Store keywords?
Generate the two- and three-word variants of each head term, score all of them, and filter on difficulty and popularity together rather than difficulty alone. On iOS especially: the two correlate at r = 0.771 in our sample, so most low-difficulty iOS keywords are low-demand keywords. Only 18 of 505 iOS checks (3.6%) passed a difficulty-under-40 plus popularity-40-or-above filter, versus 79 of 357 on Google Play (22.1%).
Are long-tail keywords easier on Google Play than on the App Store?
Android scored lower at every word count we measured, but the comparison is not apples-to-apples. Google Play's public search returns only about 25–30 results, so Android difficulty is computed over a far shallower field of competitors than iOS search exposes. Compare Android scores to Android scores and iOS scores to iOS scores; the same number on Play and on the App Store is not the same fight.
Is a low-difficulty keyword always worth targeting?
No, and our corpus shows why in one line: there were zero keywords on either platform scoring 70 or above on difficulty while scoring under 30 on popularity. Nothing we measured was hard and unwanted — in this sample, hard and in-demand went together. So sorting by difficulty ascending surfaces the tail of things nobody wants, not hidden gems. Always pair the difficulty filter with a demand filter.
If you would rather test the two-and-three-word rule on your own app than take our word for it, the cheapest experiment is to pick five head terms, score their two- and three-word variants, and put the survivors under daily observation. You can track five keywords free, refreshed daily — five slots, forever, no card — which is exactly enough to run that experiment on one app and watch which phrase actually moves.
Methodology note: 862 keyword difficulty checks (505 iOS, 357 Google Play) scored from live store search results, February 20 – August 10, 2026, across 10 iOS country storefronts and 2 on Google Play. Sample is demand-driven and self-selected; Google Play's ~25–30 result cap means Android and iOS scores are not directly comparable. Averages as computed, not re-rounded. Dataset aggregates are anonymized; no customer app data is disclosed.
