App Keyword Search Volume: Why Exact Numbers Are a Myth
Apple and Google do not publish store search volume. Learn how ASO tools estimate demand, what confidence labels mean, and how to use volume without being misled.
**App keyword search volume** is one of the most requested ASO numbers and one of the least knowable. Apple and Google do not publish how many times a phrase is searched in their stores. Every third-party volume figure is an estimate built from proxies.
That does not make volume useless. It makes it a signal that needs context. Here is what the number can and cannot tell you, and how to use it without pretending it is exact.
Key takeaways
- No outside tool has exact App Store or Google Play search volume.
- Estimates usually combine autocomplete presence, source overlap, phrase length, and search competition.
- A volume score is useful for ranking a list, not for forecasting downloads.
- Confidence labels matter more than small differences between scores.
- Intent and relevance can outweigh a larger volume estimate.
Why the stores do not publish it
Store search is a retrieval system, not an advertising auction with public reporting. Apple and Google publish some ads data, but organic store query volume is not part of it. They also have no incentive to hand competitors a complete demand map.
Any tool claiming exact monthly searches is either using a web-search proxy, modelling from incomplete signals, or presenting a range as a precise number. The honest presentation includes the method and the uncertainty.
How estimates are built
A typical model uses several weak signals together: whether the phrase appears in autocomplete, how early it appears, how many independent seeds produce it, how many competitors use it, phrase length, and how many results the store returns. Some tools also use install estimates or ad data. None of these is a direct measurement of organic query count.
| Signal | What it suggests | Weakness |
|---|---|---|
| Autocomplete presence | People type the phrase | No count, and suggestions are personalised |
| Autocomplete position | Relative popularity within a seed | Order is not a linear volume scale |
| Source overlap | Phrase is established in the category | Popularity among developers is not user demand |
| Phrase length | Longer phrases are usually more specific | Specificity does not equal volume |
| Search result count | Competitive density | Result count is not demand |
What a volume score is good for
- Sorting a long list so you can inspect the strongest candidates first.
- Comparing phrases within the same market and research run.
- Spotting phrases that are probably too thin to matter.
- Balancing a very specific phrase against a broader one.
It is not good for forecasting revenue, comparing across countries with different data coverage, or deciding that a phrase is worth pursuing solely because it has the highest number.
How NewASO handles volume
NewASO labels its volume figure as a volume index, not monthly searches. It is derived from autocomplete position, source overlap, and phrase length, then shown on a 0–100 scale with a confidence label. The opportunity score combines relevance, volume, and difficulty, so a high-volume phrase with weak relevance does not automatically rise to the top.
A better way to judge demand
- Confirm the phrase appears in store autocomplete in the target country.
- Look at the top results: are they relevant, maintained, and strong?
- Ask whether ten installs from this phrase would be the right users.
- Check whether the phrase appears in competitor copy or reviews.
- Test the phrase in a field, then measure rank and conversion over a defined window.
This is slower than reading a single number, but it produces a decision you can defend. The phrase with the best combination of intent, winnability, and fit usually beats the phrase with the biggest estimate.
The bottom line
Treat app keyword search volume as a directional signal. Use it to prioritise, not to promise. If a tool shows a suspiciously precise number, ask how it was derived. If it cannot explain the method, the precision is decoration. For the scoring model itself, see KW Scoring or read keyword difficulty for apps.
Frequently asked questions
Does Apple publish App Store search volume?
No. Apple does not publish organic App Store search volume. Third-party figures are estimates based on proxies such as autocomplete and competition.
Is Google Play keyword search volume available?
Not officially. Google Play does not expose organic query counts. Tools may model demand, but the number is not a direct measurement.
Should I pick the keyword with the highest volume?
Not automatically. Relevance and winnability matter more. A high-volume phrase with weak intent can produce installs that churn, and a crowded phrase may be unreachable for a small app.