App Store Ranking Factors: What Is Confirmed, What Is Inferred
A clear-eyed look at App Store ranking factors: metadata relevance, installs, ratings, retention, updates, and the parts Apple does not disclose.
**App Store ranking factors** are partly documented and partly inferred. Apple describes search as matching metadata and user behaviour, but it does not publish weights. Most articles present a neat list as if it were a formula. It is not.
This guide separates the signals that are well supported from the ones that are speculation, and explains how to use the uncertainty instead of being paralysed by it.
Key takeaways
- Metadata relevance is the part you control most directly.
- Install behaviour, retention, ratings, and reviews are widely accepted quality signals.
- Apple does not publish field weights, query volume, or a complete ranking formula.
- Update frequency and localisation can help, but neither is a guaranteed lever.
- Test changes one at a time and measure rank by market.
The documented layer: relevance
Apple states that search considers metadata such as the app name, subtitle, keyword field, and other listing information. The app must be relevant to the query. That is why a phrase in the title or subtitle is more powerful than the same phrase buried in a description, and why the keyword field exists at all.
Relevance is not just text matching. The store also evaluates whether users who search that phrase engage with the app. A listing that ranks but gets skipped is not proving relevance.
The behavioural layer
| Signal | Confidence | What it means for you |
|---|---|---|
| Installs from search | High | A listing that converts for a query reinforces relevance |
| Retention and usage | High | Users who keep the app signal a good match |
| Ratings and reviews | High | Visible trust and a quality input |
| Crash and performance data | Medium–high | Poor quality can suppress a listing |
| Update frequency | Medium | Freshness may help, but quality matters more |
| Localisation | Medium | Improves relevance in local search |
| Backlinks | Low | No confirmed direct role in App Store search |
| Social signals | Low | No confirmed direct role |
The confidence column is a judgement, not an Apple statement. The point is to avoid treating every listicle claim as equal.
Ratings and reviews: the compounding signal
A high rating with a healthy review count improves conversion and gives the store a quality signal. The mechanism is not a simple points system. Reviews also contain language that helps you understand what users expect, which improves the listing and the product.
Do not buy reviews. It violates policy, distorts the signal, and is increasingly detectable. Ask at the right moment, make the prompt easy to dismiss, and respond to criticism where possible.
The parts Apple does not disclose
- The weight of each metadata field.
- The exact role of install velocity versus total installs.
- How much retention matters for search ranking versus chart ranking.
- Whether and how editorial featuring affects search.
- How localisation and device compatibility interact.
What to do with the uncertainty
- Win the relevance layer first: put a real phrase in an indexed field.
- Make the card credible so the impression converts.
- Improve the product and the review prompt so quality signals follow.
- Localise where you can support the market.
- Change one thing, then check rank in the same store and country.
This is slower than chasing a rumoured hack, but it produces evidence. A ranking factor you cannot observe is not a lever; it is a hypothesis.
How NewASO fits
NewASO does not claim to know Apple's formula. It scores keyword difficulty from live search results, validates the metadata fields, and checks rank on demand across 17 markets. That gives you a way to test your own hypotheses with a saved trail.
For the practical plan, read how to rank an app. For Google's side, read Google Play ranking.
Frequently asked questions
What are the main App Store ranking factors?
Metadata relevance, install and engagement behaviour, retention, ratings and reviews, and app quality are the most commonly accepted signals. Apple does not publish exact weights.
Do backlinks help App Store ranking?
There is no confirmed direct role for web backlinks in App Store search ranking. Web coverage can drive brand searches and installs, which may indirectly help.
Does updating an app improve its ranking?
Freshness may be a minor signal, but update frequency alone is not a strategy. A quality update that improves retention and ratings is more meaningful than shipping for the sake of shipping.