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Plaintrace vs Google Analytics
Last updated November 11, 2026
Google Analytics 4 is free, deep and everywhere. It is also built around cookies, an advertising ecosystem and a data model that asks a lot of whoever reads it. Plaintrace makes different trade-offs.
At a glance
| Plaintrace | Google Analytics 4 | |
|---|---|---|
| Cookies | None, and no device identifiers | Uses first-party cookies (_ga) |
| Consent banner in the EU | Built to run without one | Typically requires consent before it measures |
| Where data is kept | EU only | Google’s infrastructure |
| Bot traffic | Labelled human / suspicious / bot, kept and shown | Known bots filtered out, not shown |
| Ad-blocker loss | Measured with the server SDK and reported | Not reported |
| How far to trust a report | A–D grade with a public formula | Not reported |
| AI assistants | Remote MCP server, read-only key | Not built in |
| Learning curve | One dashboard, plain names | Explorations, events and parameters to configure |
Where Google Analytics is the better fit
- You run Google Ads and need conversions to flow back into bidding.
- You need user-level journeys across devices and long cohorts tied to signed-in users.
- You already have analysts fluent in GA4 and BigQuery exports.
Where Plaintrace is the better fit
- You want analytics that does not need a consent banner of its own and keeps data in the EU.
- You need to know how much traffic you are not seeing, and how much of what you see is not human.
- You want a dashboard a whole product team can read in a minute, an API and an MCP server for the rest.
Moving over
Install the Plaintrace script next to Google Analytics, compare both for a few weeks, then remove the one you do not need. The quickstart takes about two minutes.
Based on Google’s public documentation as we understand it. If something here is out of date, tell us at hello@plaintrace.dev and we will correct it.