The short version
Google Analytics 4 is a large, free, advertising-adjacent analytics platform. Plausible is a small, paid, privacy-first one. The comparison is not really about features — it is about which set of trade-offs matches your site.
| Plausible | Google Analytics 4 | |
|---|---|---|
| Price | Paid subscription | Free |
| Cookies | None | Yes, by default |
| Consent banner for analytics | Generally not required | Generally required in the EU |
| Data location | EU | Google infrastructure |
| Script size | A few KB | Tens of KB |
| Learning curve | Minutes | Weeks |
| Ad platform integration | No | Deep |
| Data ownership | Yours, exportable | Google's terms apply |
Cookies and the consent banner
This is the difference with the largest practical consequence. Google Analytics sets cookies to identify returning visitors, which in the EU generally brings it within the scope of consent requirements under the ePrivacy rules — hence the banner.
Plausible does not use cookies and does not build persistent identifiers for individuals. For many sites, that means analytics no longer triggers the banner. Note the word "many": if you run advertising pixels, embedded video, or third-party chat widgets, those still need consent on their own account.
What the numbers will look like after switching
Expect your traffic numbers to go up, sometimes substantially. This surprises people who assume a privacy tool sees less.
Two reasons. First, a large share of visitors block Google Analytics through extensions, DNS-level blockers and browsers with built-in protection; a first-party lightweight script is blocked far less often. Second, when consent is required, visitors who decline are missing from the data entirely — and the decline rate on a typical banner is not small.
The result is that the privacy-friendly tool often reports a more complete picture, not a smaller one.
Sessions, visits and why the totals never match
Do not expect the two tools to agree. They define a session differently, they handle bounces differently, they treat outbound clicks differently, and one of them is sampling.
The correct way to run a migration is to keep both live for a month, establish the ratio between them for your site, and then reason in the new tool's terms from that point on. Trying to make the numbers match is a waste of a week.
What you give up with Plausible
Be clear-eyed about this:
- Google Ads integration. If you spend meaningfully on Google Ads and rely on conversion import, GA4 does something no independent tool can replicate.
- Advanced segmentation and cohorts. GA4 lets you build audience definitions of considerable complexity.
- BigQuery export. GA4 can stream raw event data into a warehouse for arbitrary analysis.
- Attribution modelling across channels and devices.
What you gain
- A dashboard that fits on one screen and needs no training
- No sampling: the numbers are the numbers
- A page that loads faster, which feeds Core Web Vitals and therefore ranking
- A one-sentence answer when someone asks where visitor data is stored
- Potentially no cookie banner, which improves both UX and data completeness
How to decide
Ask what you do with analytics in a typical month. If the answer is "check which pages and sources are growing, and whether the changes I shipped moved anything", a lightweight tool covers it entirely and takes ten minutes a month instead of two hours.
If the answer involves attributing paid spend across channels with a real budget attached, GA4 earns its complexity — or you use both, one for the site and one for the ad platform.