Metrics
New Users vs Returning Users in GA4
Updated 2026-09-043 min read
Short answer
New users are people recorded as using your app for the first time. Returning users had used it before. Both are counted within the period you selected, which is why the split changes when you change the date range.
This split is the difference between growth and retention. An app can post a healthy active user count while quietly failing, if nearly all of those people are new and nearly none of them come back.
What each side means
A new user is someone recorded as using your app for the first time. A returning user is someone who had used it before the period began and used it again during the period. Both are subsets of active users for that window.
New users: 400 Returning users: 100 Reads as: strong acquisition, weak retention. Most of what you spent on getting people here left again.
The same 500 split the other way — 100 new, 400 returning — describes a completely different product, even though the headline number is identical.
Why the two do not always add up neatly
People expect new plus returning to equal active users exactly. Often it is close, but several things get in the way.
- First-time status is tied to how a user is identified, and identity can be lost — a reinstall on a new device can look like a new person
- The window matters: someone who last used the app two months ago is returning for a 90-day window but may be classified differently in a 7-day one
- Privacy thresholds can withhold small figures, so a breakdown may not sum to its own total
Note: Treat these as two informative measures rather than two halves that must reconcile to the decimal. If you need them to balance exactly, you are asking the data for a precision it does not have.
The reinstall problem
This one catches everybody eventually. Someone who deletes your app and installs it again, or moves to a new phone, may be recorded as a new user despite being an existing customer. Your new user count therefore includes some people who are not new to you at all.
Careful: Do not treat new users as a count of unique humans who have never heard of you. It is a count of first-time-seen identities, which is a related but different thing.
How to read the split
| Pattern | Usually means |
|---|---|
| New high, returning low | Acquisition works, the product does not hold people |
| New low, returning high | Loyal base, but growth has stalled |
| Both rising | Healthy growth with retention keeping pace |
| New spike, returning flat | A campaign or feature landed, but changed nothing lasting |
How this looks in Appnaly
Appnaly reports new users alongside the completed windows rather than as a standalone figure, because a new user count means very little without the active total beside it. Four hundred new users is excellent or alarming depending entirely on what the rest of the number looks like.
If you want to go further than the split, retention is the natural next step: it follows a specific group of people forward in time instead of describing a single window. The retention article covers how D1, D7 and D30 are read.