App Store Conversion Rate: How It's Measured and How to Improve It
What App Store conversion rate actually measures in App Analytics and Play Console, why search and referral traffic convert so differently, and how to improve it.
App Store conversion rate is the share of people who see your app on the App Store and then download it. In App Store Connect Analytics, Apple calculates it as total downloads and pre-orders divided by unique device impressions, where an impression is any time your app is visible for more than one second on the Today, Games, Apps or Search tabs, including your product page.
You improve it mostly with what people see before they tap: the first two or three screenshots, the icon, the rating, and whether your listing matches the search that brought them there. Google Play now measures a similar idea as a click-through rate on the store listing. Below: the exact definitions, why your numbers vary so much by traffic source, and how to tell whether a change actually helped.
- In App Store Connect Analytics, conversion rate = (total downloads + pre-orders) ÷ unique device impressions.
- Apple counts an impression when your app is shown for more than one second on the Today, Games, Apps or Search tabs, and impressions include product page views.
- Since mid-2026, Google Play Console reports store listing performance as clicks and click-through rate (the share of store listing visitors who tap Install, Open or Pre-register), replacing the legacy conversion rate.
- Search, browse and referral traffic convert at very different rates, so always compare conversion within one source type.
- Both consoles offer peer benchmarks, which are a better reference point than published industry averages.
How Apple App Analytics defines conversion rate
Apple’s metric definitions are precise, and the details change how you should read the number:
| Metric | Apple’s definition (paraphrased) |
|---|---|
| Impressions | Times your app was viewed for more than one second on the Today, Games, Apps and Search tabs. Includes product page views. |
| Impressions (unique devices) | Unique devices that viewed your app in those places. This is the conversion-rate denominator. |
| Product page views | Times your product page was viewed, including when another app loads it with StoreKit. |
| First-time downloads | First downloads of the app on a device. |
| Redownloads | Downloads by people who had the app before, when they tap redownload. Excludes auto-updates and restores. |
| Conversion rate | Total downloads (first-time + redownloads) and pre-orders, divided by unique device impressions. |
Three things follow from this:
- The denominator is impressions, not page views. Someone who sees your icon and screenshots in a search result and keeps scrolling counts. So the App Store conversion rate measures your search-result card as much as your product page.
- Redownloads are in the numerator. An app with many lapsed users can look better than its listing deserves. Check first-time downloads alongside it.
- Small numbers are hidden. App Store metrics appear once an app has at least five first-time downloads or pre-orders, and some source breakdowns need more data before they show.
How Google Play Console measures store listing conversion
Google changed its reports in 2026. Per Play Console’s help on understanding your user base, store listing performance now focuses on intent (clicks) rather than completed installs:
- Store listing visitors: users who viewed your listing and did not have the app installed on any device.
- Clicks: unique users who tapped Install, Open or Pre-register on your listing.
- Click-through rate (CTR): the percentage of store listing visitors who clicked. Google says this replaces the legacy “Conversion Rate.”
- Store listing acquisitions: visitors who installed and didn’t have the app on another device; lower than total installs, since multi-device users count once.
You’ll find it under Grow users → Store performance → Conversion analysis, filterable by traffic source (Google Play search, Google Play explore, ads and referrals), country, language, custom store listing and UTM campaign. These reports don’t include visitors from other Play surfaces such as promotional content.
The important difference from Apple: Play’s denominator is listing visitors, people who opened your page. Apple’s is impressions, which include people who only saw you in a list. The two numbers are not comparable, and an Android “conversion rate” will usually look much higher for the same app.
Why search, browse and referral traffic convert differently
App Store Connect splits traffic into source types. Apple’s acquisition docs define them roughly as follows, and each one has a different kind of visitor:
| Source type | Where the visitor came from | Why its conversion looks the way it does |
|---|---|---|
| App Store search | Search results, including search ads | Many impressions from people comparing several apps in a list; your icon, title, rating and first screenshots do most of the work |
| App Store browse | Today, Games and Apps tabs, charts, categories | Low-intent browsing; people weren’t looking for you |
| App referrer | A link in another app (including Messages, and browsers other than Safari on iOS) | Usually lands straight on the product page with someone who already chose to look |
| Web referrer | A link on a website | Same: arrives with intent, often after reading about you |
Referral traffic almost always converts higher than search and browse, because its impressions are product page views from people who already clicked a link about you. That means your overall conversion rate can move just because your traffic mix moved. A newsletter mention one week will lift it; a new keyword ranking that sends lots of loosely matched searchers will lower it, even if more people install.
Search conversion also depends on which terms you rank for. Ranking for a broad term where your app is a partial fit adds impressions that rarely convert. That isn’t necessarily bad (more installs is still more installs), but read conversion and downloads together.
What actually moves App Store conversion rate
The first screenshots
In search results people see your icon, name, subtitle, rating and the first few screenshots (or an app preview). For most apps that card is where the decision happens. A first screenshot that states the outcome in a few words, with real UI behind it, does more than any change further down the page. We go deeper in what to put on your first App Store screenshot and, by category, in screenshot strategy for games, fitness, finance and more.
The icon
The icon shows everywhere your app does. It is one of the three things Apple’s Product Page Optimization lets you test, next to screenshots and app previews.
Ratings and reviews
The star rating and count sit next to your name in search results. You can’t design your way out of a low rating, but you can ask for ratings at the right moment with the system prompt and fix what reviews complain about. Showing quotes and awards in screenshots has its own rules, covered in reviews, awards and press in App Store screenshots.
Price and the first-run promise
A paid upfront app converts differently from a free one with in-app purchases. If you’re free with a subscription, make sure the listing doesn’t hide that; people who feel surprised by a paywall leave reviews that hurt conversion later.
Localization
Screenshots in the visitor’s language, with examples that fit their market, are one of the more dependable ways to lift conversion in non-English storefronts. Conversion broken down by territory will show you where a localized set is most overdue. See how to localize App Store screenshots.
Matching the audience
If ads or partner links send a specific audience, a custom product page that matches what they clicked usually beats your generic page. Our custom product pages guide covers the setup, including assigning keywords so a page can show in search.
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Most “we changed the screenshots and conversion went up 20%” stories don’t survive a closer look. Seasonality, a featuring, a ranking change or an ad campaign can each move the number more than a design change. A few habits help:
- Use a randomized test when you can. Apple’s Product Page Optimization splits traffic between your original and up to three treatments for up to 90 days and reports a confidence level. Google Play store listing experiments test up to two variants against your current listing. Our A/B testing guide walks through both.
- Compare one source type at a time. For screenshot changes, App Store search is the source where the change matters most.
- Compare equal windows. Two or more full weeks before and after, same days of the week, and note any featuring, press or ad spend in either window.
- Change one thing. New screenshots and a new icon in the same release make it impossible to say which one worked.
- Watch downloads too. A higher rate on fewer impressions can still mean fewer installs.
This is the problem we built the ASO console in Launch Shots around: it reads impressions, page views and conversion rate from Apple’s and Google’s own analytics under your credential and lines them up against the date you published a new screenshot set. You can do the same with exports and a spreadsheet; the point is to compare like with like.
A word on benchmarks
You’ll find many “average App Store conversion rate” figures online. Most don’t say how they define conversion, which sources they include, or how they were sampled, so we don’t repeat them here. Both stores give you a better reference built from real data: App Store Connect’s peer group benchmarks show the 25th, 50th and 75th percentile conversion rate for apps in your category with the same business model, and Play Console compares your CTR with peers’ median and 25th/75th percentiles when enough peer data exists. Apple notes its benchmarks are directional and protected with differential privacy, so read them as a range, not a rank.
If you’re stuck in a range for months, it is usually a positioning problem rather than a pixel problem; we wrote about that in the ASO plateau.
Checklist
- Know the formula: Apple divides by impressions, Google Play by listing visitors.
- Read conversion per source type, and next to first-time downloads.
- Check your peer group benchmark before deciding conversion is “low.”
- Work on the first screenshots, icon, rating and localization, in roughly that order.
- Send distinct audiences to matching custom product pages.
- Test with PPO or store listing experiments, one variable at a time, and log every listing change with its date.
Frequently asked questions
04- What is a good App Store conversion rate?
- There is no single good number, because conversion rate depends heavily on category, price, traffic source and how well known your app is. The most reliable comparison is the peer group benchmark inside App Store Connect Analytics, which shows the 25th, 50th and 75th percentile conversion rate for apps in your category with the same business model. Compare against your peers and against your own past weeks, not a figure from a blog post.
- Why is my App Store conversion rate so low?
- Often because most of your impressions come from search results or browse placements where people see your icon and first screenshots for a moment and scroll past. That traffic always converts lower than people who arrive on your product page from a link. Check conversion by source type first. If search conversion is low, look at your first screenshots, icon, rating and whether you rank for keywords that don’t match what your app does.
- Does App Store conversion rate include redownloads?
- Yes. In App Store Connect Analytics, conversion rate is total downloads and pre-orders divided by unique device impressions, and total downloads is first-time downloads plus redownloads. Redownloads exclude automatic updates and device restores. If you want to know how well the listing persuades new users, also look at first-time downloads on their own, since redownloads come from people who already know your app.
- How does Google Play measure store listing conversion now?
- Since mid-2026, Play Console’s store listing performance reports focus on clicks rather than installs. Clicks are unique users who tap Install, Open or Pre-register on your listing, and click-through rate is the share of store listing visitors who clicked. Google says this replaces the legacy conversion rate metric. Visitors are users who viewed your listing without having the app installed on any device. The reports are under Grow users, Store performance, Conversion analysis.