Play Console acquisition reporting
Expert: with sources and numbers. Plain: the same, without them, for beginners.
Google's metric definitions, the retention metric that needs no app open, and the 2026 change that broke old comparisons.
Google’s definitions are structured as a funnel of user segments rather than a set of ratios, which makes them clearer than Apple’s. And they changed the headline metric in 2026.
The definitions, verbatim
A From Play Console Help, verified 2026-09-18. (Measure your app’s acquisition and retention)
Store listing visitors. “Unique users who visited your app’s store listing on the Play Store app but haven’t installed your app.”
First-time installers. “Unique users who installed your app ‘X’ days after visiting your app’s store listing on the Play Store app.”
Retained installers. “Installers who kept your app on at least one of their devices for the number of days shown.”
Buyers. “Unique users who bought at least one in-app product or had one or more subscription occurrence(s) ‘X’ days after visiting your app’s store listing.”
Repeat buyers. “Unique users who bought at least two in-app products or had two or more subscription occurrences ‘X’ days after visiting your app’s store listing.”
Conversion rate. On charts, “the displayed percentages represent the conversion rate of users from one segment to the next segment.”
Three things to notice
1. “Store listing visitors” excludes people who already installed.
Read the definition again: visitors who haven’t installed your app. It is not all page visitors. This makes the visitor → installer ratio a cleaner acquisition measure than Apple’s, and it means the denominator is not comparable to Apple’s product page views.
2. “Retained installers” does not require opening the app.
“Kept your app on at least one of their devices for the number of days shown.” This is retention-as-not-uninstalled, not retention-as-engaged. An app sitting unopened on a home screen for 30 days counts as a retained installer.
That is a legitimate store-level metric, and it is not what a product team means by retention. Never put Play’s retained installers next to an in-app retention curve without saying which is which.
3. The funnel is segment-to-segment.
Conversion rate is the step between adjacent segments, so “conversion rate” on Play depends entirely on which two segments you mean. Always name them.
The metric changed in July 2026
A “From July 2026, Google Play updated store listing performance reports to focus on user intent (clicks) rather than successful outcomes (acquisitions).” The primary metric is Unique user Install Clicks, “the number of unique users who clicked the Install button from your store listing.” Legacy acquisition data remains available in Statistics and exports. (Understand and grow your app’s user base, verified 2026-09-18)
A click on Install is not an install. It precedes the download and can fail, be cancelled, or come from a returning user. So click-based rates are structurally higher than the acquisition-based ones they replaced, and:
- Any trend crossing mid-2026 has a step change that is an artefact.
- Every Play benchmark reviewed here predates it.
- “Conversion rate” is now ambiguous on Play unless you state which metric.
Full account in CONFLICT-013.
Announced but not yet documented
Google described further reporting changes at I/O 2026 that are not present in the Play Console help documentation as of 2026-09-20. Recorded so the announcement is on file, and explicitly not as live features:
- a reach metric for total visibility on Play
- store listing performance including indirect value not previously reported
- traffic source breakdowns extending to downstream engagement, retention and monetisation
- cart conversion rates in the core performance metrics
(I/O 2026. What’s new in Google Play, verified 2026-09-20)
Why this matters more than a typical roadmap note. A traffic-source breakdown that reaches retention would answer a question this base currently says cannot be answered from console data alone, which source produces users who stay (80-05). Worth checking for periodically. Do not build a report around it until it appears in the console and in the documentation.
Traffic sources and search terms
A Play splits traffic into Google Play search, Google Play explore, ads and referrals, and all traffic sources, and reports the search terms users searched before reaching the listing, with low-volume terms grouped into “Other”. (Understand and grow your app’s user base, verified 2026-09-18)
The search/explore split is Play’s equivalent of Apple’s Search/Browse distinction, and the search terms report is free organic query data that iOS does not offer (30-01).
What goes wrong
Treating retained installers as engagement retention. It means not uninstalled.
Saying “conversion rate” without naming the segments. It is a step between two of them.
Comparing across July 2026. Different metric.
Comparing store listing visitors to Apple product page views. Play’s excludes existing installers; Apple’s does not.
Reading the “Other” search-term bucket as noise. It is the long tail, aggregated because each term is small.
In short
Every fact on this page in one line, with its evidence tier, source and verification date, 5 A. Generated from the claim register, so it cannot drift from the page above.
This centre's own definitions are structured as a chain of visitor groups rather than a set of pure ratios, which makes them genuinely clearer than the other centre's version. And the headline number itself changed recently.
The definitions, in the centre's own words
People who visited your page, distinct visitors who opened your shop's own page but haven't actually installed it.
First-time installers, distinct visitors who installed your shop some stretch of time after opening your page.
People who kept it, installers who kept your shop on at least one of their own devices for however many days you're looking at.
Buyers: distinct visitors who bought at least one extra item, or had at least one membership charge, some stretch of time after opening your page.
Repeat buyers: distinct visitors who bought at least two extra items, or had at least two membership charges, after opening your page.
Conversion rate. On a chart, the percentage shown represents the move from one visitor group to the very next one in the chain.
Three things worth noticing
"People who visited your page" excludes anyone who already has it.
Read that definition again: visitors who haven't installed it. It isn't every single page visitor. This makes the visit-to-install ratio a genuinely cleaner measure of actual acquisition than the other centre's own version, and it means this number isn't directly comparable to the other centre's own page-view count.
"People who kept it" doesn't require anyone to have ever opened it.
It only means the shop stayed on at least one of their devices for that stretch of time. This is retention meaning "wasn't removed," not retention meaning "was genuinely used." A shop sitting untouched on someone's home screen for weeks still counts as kept.
That's a genuinely legitimate storefront-level number, and it isn't what a product team usually means by retention. Never put this centre's own "kept it" number next to an in-shop engagement curve without clearly saying which is which.
The whole chain moves group to group.
Conversion rate here is always the step between two neighbouring groups, so "conversion rate" on this side depends entirely on which two groups you actually mean. Always name them explicitly.
The main measurement itself changed recently
Store-listing reporting on this side shifted its focus from actual successful outcomes to raw visitor intent, specifically, clicks. The main number is now a specific kind of click: distinct visitors who clicked the install button right on your page. Older, acquisition-based reporting is still available separately in the statistics and export tools.
A click on install is not an install. It happens before the actual download, and that download can still fail, get cancelled, or come from someone who already has the shop. So click-based rates sit structurally higher than the acquisition-based ones they replaced, and:
- Any trend that crosses the point of that change shows a step that's really just an artefact of the measurement changing, not a real shift.
- Any older benchmark predates it entirely.
- "Conversion rate" is now genuinely ambiguous on this side unless you state exactly which number you mean.
Announced, but not yet actually documented
The centre has separately described further reporting changes at one of its own developer events that, as of this writing, don't yet appear in its own help documentation at all. Worth recording so the announcement is on file, and explicitly not treated as something you can actually use yet:
- an overall reach number for total visibility across the centre
- store-listing performance including value that wasn't previously reported at all
- traffic-source breakdowns extending downstream into engagement, retention and spending
- conversion rates specifically for extra purchases, included in the core performance numbers
Why this matters more than a typical roadmap footnote. A traffic-source breakdown reaching all the way into retention would answer a question this whole guide currently says can't be answered from the back-office alone, which source of visitors actually brings people who stick around. Worth checking for periodically. Don't build a report around any of it until it actually shows up in the back-office and in the real documentation.
Where traffic came from, and what people asked for
Traffic gets split into this centre's own search, its own browsing, ads and referrals, and an all-sources view. And the centre reports the actual words people searched before reaching your page, with anything asked for too rarely grouped into a catch-all bucket.
The search-versus-browsing split here is this centre's own equivalent of the other centre's search-versus-browse distinction, and the report of actual search words is free, genuine, unpaid query data that the other centre simply doesn't offer at all.
What tends to go wrong
Treating "people who kept it" as genuine engagement retention. It only means it wasn't removed.
Saying "conversion rate" without naming which two groups you mean. It's always a step between two specific ones.
Comparing across the point where the measurement changed. A genuinely different number.
Comparing "people who visited your page" to the other centre's own page-view count. This side's number excludes people who already have it; the other centre's doesn't.
Reading the catch-all "other" bucket of search words as pure noise. It's the long, specific tail, grouped together only because each individual word is small on its own.