Best European Alternatives to Google Analytics

Why people leave Google Analytics

Google Analytics is on roughly half the web because it costs nothing, and the reason it costs nothing is not a mystery: a measurement product given away to millions of sites is worth more to Google as an input than it would be as a licence.

The thing that finally moves people is narrower and more concrete than the privacy argument. On 1 July 2024 Google finished switching off Universal Analytics and, in its own words, data that had not been exported was "permanently deleted by Google and won't be recoverable". Anyone who had not spent a weekend on CSV exports lost a decade of history to a sunset date they did not set.

What replaced it rations the same thing. A standard GA4 property offers exactly two retention settings for event data — two months or fourteen — and the longer options of 26, 38 and 50 months exist only on Analytics 360. Large and XL properties are pinned at two. Your aggregated reports keep their history, but the moment you open an exploration or a funnel to ask why something changed last year, the data to answer it has aged out.

• Your history exists at the supplier's discretion Universal Analytics stopped processing on 1 July 2023 and closed completely on 1 July 2024, taking the interface, the API and the unexported data with it. That is not a criticism of the decision; products end. It is a description of the arrangement you are in, where the record of your own traffic lives somewhere you do not control and leaves on a schedule you are told about rather than asked.
• Fourteen months is the ceiling on the free tier Event-level retention on a standard GA4 property is two months or fourteen. Nothing longer can be selected without Analytics 360. Standard aggregated reports are unaffected, so the totals stay — but explorations, funnels and any comparison that needs the underlying events stop at fourteen months, which means a genuine year-on-year investigation is out of reach roughly two months after it becomes interesting.
• The banner costs you the measurement it protects Analytics needs consent, consent needs an interface, and a meaningful share of visitors decline it or close it. You are then making decisions from a self-selected subset while paying for the interruption in conversions. The tools on this page collect no personal data and set no cookies, which removes the banner and, with it, the gap between the people who visited and the people you counted.
• GA4 made simple questions into projects Which pages got traffic, where did it come from, did the form get filled in. Those three questions used to be three clicks. In an event-and-parameter model they are an exploration you configure, and for a shop, a blog or a directory that is a considerable amount of ceremony in exchange for modelling depth that nobody on the team uses.

What you have to replace, not just match

Open your own account and write down every report somebody has actually looked at in the last twelve months. For most sites the honest list is four items: traffic over time, top pages, where visitors came from, and how many did the thing you wanted. Everything beyond that was configured once, during a redesign, by a person who has since left.

Two capabilities genuinely do not carry across, and both are worth naming before you commit. The first is Google Ads attribution: if you spend real money on Ads, the native link between campaign and conversion is a reason to keep a GA4 property running alongside whatever you move to. The second is the modelling depth of explorations, which nothing here replicates and most of this page's readers have never opened.

Search Console is not one of them. It is a separate product with its own data, it keeps working when the Analytics tag comes off, and the sixteen months of query history stays where it is.

The alternatives compared

How each alternative compares to Google Analytics

What actually breaks when you switch

Decide what you are archiving before you touch the tag. GA4's standard aggregated reports keep their history, so exporting the handful of views your business actually references is an afternoon. Exporting the event-level data behind them is a different project, and if your property is set to two months there is less of it there than you assume.

Then find the things that read the Analytics API. A marketing dashboard, a board-pack spreadsheet somebody automated, a plugin in the CMS, a monthly PDF that arrives by email. These do not fail loudly when the tag comes off; they carry on drawing an empty chart, and somebody notices in the following quarter.

And handle the number change deliberately. Removing the consent banner raises the counts immediately and unevenly, more on some pages than others. Mark the switchover date on every chart, explain the cause once in writing, and restart the comparison series from that week rather than splicing two incompatible measurements into one line.

Is it true that Google Analytics is illegal in Europe?

No, and it is worth retiring the claim rather than softening it. The European Commission adopted an adequacy decision for the EU-US Data Privacy Framework in July 2023 and completed its first periodic review on 9 October 2024. Transfers to a certified US organisation rest on that decision, in the same way transfers to Switzerland or the United Kingdom rest on theirs.

What remains true is that the arrangement is an adequacy decision rather than a fact of geography, and adequacy decisions are reviewed periodically. That is a reason to notice where your dependencies sit, not a reason to tell your legal team something that is no longer accurate.

If someone is selling you a European analytics tool on the basis that Analytics is forbidden, check what else they have not updated since 2022. The retention argument on this page is stronger and does not require anyone to predict a court.

Will I lose my Analytics history when I switch?

The part you care about, mostly yes, and it is better to plan for it than to discover it. None of these tools imports GA4 data, and there is no format that would make the import meaningful even if one did: the event models are different shapes.

What works in practice is a parallel month. Install the new tag alongside the existing one, keep both running for four to six weeks, and use the overlap to learn the ratio between the two sets of numbers. Then export what you want to keep from GA4 — the standard reports still hold their aggregate history — and treat it as an archive rather than as something the new tool will absorb.

One thing worth doing this week regardless of whether you switch: check the retention setting on your GA4 property. If it says two months, you have been losing the underlying events for every exploration you might have wanted to run, and changing it to fourteen costs nothing.

Why do the numbers go up after moving?

Because the banner stops suppressing them. Analytics only measures the visitors who accepted, and the tools here measure everyone, because there is no personal data to consent to. The visible jump is the size of the gap you have been reporting around.

It is also partly ad blockers. A technical audience blocks the Google tag far more often than it blocks a small first-party script, so if your visitors are developers the difference will be larger than average and will not be evenly spread across your pages.

Do not present the increase internally as growth. Label the changeover date in every chart, state plainly that the measurement basis changed, and start the comparison series again from that week. A finance director who discovers the reason later will not trust the next number either.

What actually breaks if we remove the Analytics tag?

Google Ads conversion tracking, if you import conversions from Analytics rather than using the Ads tag directly. That is the one integration that costs money when it breaks, so check which of the two you are using before you touch anything, and move conversion tracking into Ads itself if it lives in Analytics.

Anything reading the Analytics API — a marketing dashboard, a monthly report someone automated, a plugin in the CMS. These are the quiet failures, because they usually keep drawing an empty chart rather than raising an error.

Search Console keeps working, Tag Manager keeps working, and any tag you fire through it that is not Analytics keeps working. The blast radius is smaller than people fear, but it is not zero, and it is entirely in things somebody built and forgot.

Which one to pick

If the thing that bothers you is that a supplier decides how long your history exists, Plausible is the answer and self-hosting it is the complete version of that answer: the same product, your hardware, your retention policy.

If your numbers are something you have to show to people outside the company, Simple Analytics turns that from an access-management chore into a link, and keeps the data in the Netherlands while doing it.

If you run many sites, Pirsch is the cheapest way in at $6 a month, never charges for a team member, and its server-side tracking will show you the technical visitors your Google tag has never counted — budget for the $12 Plus tier if you need funnels or more than fifty sites.

And if you spend heavily on Google Ads, be honest about it: keep a GA4 property for attribution, move the reporting everyone actually reads to one of these three, and stop pretending the two jobs were ever the same product.