Can this identify people by IP?

No. It uses only the export you provide.

Can I change the markers?

The API supports custom markers; the public tool starts with conservative defaults.

Free tool by Clarvivo · no login

Upload a GA4 traffic export to identify clear staff, QA, staging and test markers before they distort acquisition decisions.

Upload a GA4 source, hostname, traffic type, or user-type export. We look for clear staff, test, QA, staging, and internal markers.

This tool answers: How much of this analytics export looks like employee, QA, staging, or internal traffic?

Enable JavaScript to run the check — the diagnosis itself is free and needs no account.

Internal traffic can make a campaign look engaged, create false conversion tests, or obscure a small real acquisition change.

A source export cannot prove every employee session, but it can reveal rows already labelled with obvious internal markers.

These answer the questions this one tends to raise.

So you can trust the result — and your developer can verify it.

Read common traffic dimensions
Source, hostname, user type and traffic type columns are checked.
Use transparent markers
The result names the marker logic instead of silently classifying visitors.

No internal filter: Staff and QA use the same production property as visitors.
Staging is tracked: A test host or source sends events into production analytics.

Can this identify people by IP?: No. It uses only the export you provide.
Can I change the markers?: The API supports custom markers; the public tool starts with conservative defaults.

Clarvivo gives channel decisions a cleaner revenue baseline.