Black Friday Is 16 Days Away: A Late-Start ASO Schedule for Keyword Installs and Chart Pushes


Popularity 5 isn't zero. Learn what low App Store keyword popularity really means, 5 checks to spot a live keyword, and a 2-week test before you scale.

TL;DR
Keyword popularity is Apple's relative index of how often a search term is used in the App Store. It is shown in Apple Search Ads and in most ASO tools, on a scale from 5 (lowest) to 100 (highest).
Three things about the scale often get misread:
Google Play doesn't publish an official popularity score. ASO tools estimate Google Play volume from other signals, so Google Play "volume" numbers are best treated as rough guides.
Because 5 is the default for every keyword under the threshold.
| Source | What they found |
|---|---|
| MobileAction, Apple Search Popularity Decoded | Nearly 90% of keywords they looked at received a score of 5; 5 is the lower bound |
| Sonar, low-competition keyword study (US sample of 3,510 keywords) | 94.5% sat at the floor; across ~1.67M iOS keywords, about 98% did |
So when your keyword tool shows a long list of 5s, it isn't telling you those keywords are dead. It's telling you the tool can't see how much traffic they have.
Sometimes, yes. In keyword campaigns we've run, we have seen some keywords scored 5 bring in traffic comparable to keywords scored 25–30. That runs against how most developers pick keywords.
There are three reasons this happens:
A popularity-5 keyword that you can rank #1–3 for may bring in more installs than a popularity-30 keyword where you sit at #25.
But not every 5 is a hidden gem. Most really are low-traffic. You need a way to tell the two apart.
Run these before adding any popularity-5 keyword to a campaign.
| Check | How to do it | Live 5 | Dead 5 |
|---|---|---|---|
| 1. Autocomplete | Type the first 2–3 words into the store search bar in the target country | The phrase or a close variant is suggested | Not suggested at all |
| 2. Competitor rankings | Look at who ranks Top 10 | Relevant apps with reasonable ratings; at least one competitor clearly targets it | Random or unrelated apps |
| 3. Relevance | Would a user typing this phrase be happy to find your app? | Directly describes a core feature | Only loosely related |
| 4. Your impressions after indexing | Add it to metadata, wait 7–14 days, check impressions (App Store Connect / Play Console) | Impressions appear once you rank Top 10 | No impressions even at Top 5 |
| 5. Country fit | Compare the phrase in each local language and storefront | Natural local wording | Literal translation nobody types |
Two "live" signals from checks 1–3 are enough to put a keyword into a small test. Check 4 is the real proof.
| Popularity 5 (live) | Popularity 25–30 | Popularity 50+ | |
|---|---|---|---|
| Typical form | 3–5 word specific phrase | 2–3 word feature term | 1–2 word category head term |
| Competition | Usually low | Medium | High, led by big brands |
| Time to reach Top 10 | Short | Medium | Long, often not realistic for new apps |
| Cost to hold a position | Low | Medium | High |
| Conversion after a search | High (clear intent) | Medium | Lower (mixed intent) |
| Best role in a portfolio | Volume through many terms | Core growth terms | One or two "reach" terms, if any |
That's why ASOWorld's keyword selection guide recommends a 10–30% core / 70–90% long-tail mix, and scoring every candidate on volume, difficulty and chance together rather than on volume alone.
The best candidates rarely come from sorting a tool's list by popularity. Look in these four places:
Keep a shared list with three columns (phrase, source, check results) so the next test cycle starts from evidence instead of guesses.
Think in coverage, not single positions.
The fastest-growing apps rarely win by taking one big keyword. They rank Top 10 on dozens or hundreds of relevant keywords at once. We have seen competitor apps add well over a hundred new Top-3 keywords and several hundred Top-10 keywords in a single month. A keyword performance case study from a Bluetooth finder app shows how quickly that coverage compounds once the long tail starts ranking. Most of those keywords would look "too small" in a popularity column.
A practical starting setup:
Once a group of long-tail terms ranks well, the store sees your app as more relevant for the related core term. That relevance often helps the core term move later.
Use a short, two-week test:
Week 1: index and measure
Week 2: give them a small push
Decide at day 14
A day-by-day 14-day ramp plan shows what those two weeks look like when the push is done properly.
| Result | What it means | Next step |
|---|---|---|
| Top 10 + impressions + installs | Live 5 | Move to maintenance pace; add similar phrases |
| Top 10, impressions but few installs | Traffic exists, page doesn't convert | Fix screenshots or description before scaling |
| Top 10, no impressions | Dead 5 | Drop it |
| Still outside Top 50 | Relevance or competition problem | Re-check metadata and relevance; don't add volume |
If you want this test planned and tracked for you, the keyword ranking and organic downloads solution covers keyword discovery, ranking work and reporting.
Not sure whether your problem is the keywords you chose, your ranking, or conversion? The badly ranked or not ranked ASO budget diagnostic walks through it step by step.
What is the lowest keyword popularity score in the App Store?
5. Every keyword below Apple's minimum threshold is shown as 5, so the score is a floor, not a measure of zero searches.
Are popularity-5 keywords worth targeting?
Some are. Long, specific phrases that appear in autocomplete, have relevant competitors and describe your core feature can bring meaningful, high-converting traffic. Test before scaling.
Is a popularity score of 30 twice as much traffic as 15?
No. The scale isn't linear, and traffic rises much faster toward the top of the scale. Use popularity to compare keywords against each other, not to estimate a number of searches.
Does Google Play have a keyword popularity score?
Google doesn't publish one. ASO tools estimate Google Play volume from other signals, so treat those numbers as rough guides and confirm with Play Console impressions.
How many long-tail keywords should a new app target?
A common starting point is 2–4 core terms plus 10–20 long-tail terms, reviewed every few weeks. Add new phrases as weak ones drop out.
How long should I wait before judging a low-popularity keyword?
Allow 7–14 days after indexing, and at least a week of continuous activity if you are supporting it with installs. Shorter windows mostly measure ranking refresh lag.
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