European alternatives to Google Analytics 4.

Google Analytics 4 is the dominant web-analytics tool globally, and a Google product hosted on infrastructure under US CLOUD Act jurisdiction. The European regulatory picture has shifted notably since 2022: France's CNIL, Austria's DSB, and Italy's Garante have all issued guidance that the standard GA4 configuration without supplementary measures does not meet Schrems II requirements. That regulatory complexity, combined with the cookie-consent UX burden, is what sends buyers looking at alternatives.

Every alternative below is checked on the same signals: where the data physically sits, whether the tool requires a cookie banner, whether the platform holds a recognised European compliance framework (ISO 27001, BSI C5, EUCS, SecNumCloud), and, last, who legally owns the company.

Plausible leads the field on compliance (Estonia, Falkenstein hosting, EU-owned, CLOUD Act exposure: None, fully cookieless), followed by Pirsch, the strongest DACH choice with German server-side analytics and BSI alignment (Germany, EU-owned, Germany-hosted), and Matomo, the most feature-rich option for teams that want GA4-style depth of analysis with EU hosting (self-hostable + Matomo Cloud in Germany).

The dashboard fundamentals travel well from Google Analytics to a European tool:

• Page views, sessions, sources, devices, browsers, OS, all standard.
• UTM-tagged campaign tracking; every alternative respects UTM parameters.
• Goal/event tracking with custom event names.
• Date-range filters, traffic-source breakdowns, country-level segmentation.
• Most tools ship a Google Search Console integration for organic keyword data.

Where the trade-offs show up:

• Google Ads native integration. Bid management against analytics-defined audiences is a Google-specific loop. Matomo has a Google Ads connector; the cookieless tools intentionally don't.
• Multi-touch attribution modelling at GA4's depth. Matomo and PostHog have attribution; the lighter tools track last-click only.
• Some of the BigQuery-style raw-event analysis. Wide Angle Analytics and PostHog support event-level queries; the simpler tools work on pre-aggregated rollups.
• The cookie banner. This one we list as "give up" but most teams treat it as a feature win: cookieless analytics means no consent banner required for analytics under most ePrivacy interpretations.

The historical-data export is the step teams most often forget until it's too late. Six steps:

1. Export your historical Google Analytics data. Set up a BigQuery export from GA4 Admin → BigQuery Links. Take the full event-level export, not just the aggregated reports. This is your canonical historical record and stays yours after cancellation. Most teams realise during this step that they had not configured BigQuery export; set it up at least 30 days before you cancel GA4 so the export window covers your most recent month.
2. Install the new tool's tracking script in parallel. Add the new vendor's tracking snippet alongside the GA4 tag, not replacing it. Most teams run both for 30 days to compare numbers and build confidence in the new tool's data. Plausible and Pirsch both have one-line script tags that drop in next to GA4 without conflict.
3. Map your GA4 events to the new tool's event model. Most GA4 implementations have 10–30 custom events. The new tool will let you replicate these by name (Plausible "goals", Matomo "events", Pirsch "events"). Skip the GA4-specific recommended events you don't actually use; most teams have inherited a long list of unused events.
4. Update your cookie-consent banner copy if the new tool is cookieless. If you remove GA4 and replace it with a cookieless alternative, your cookie banner can drop the "analytics" toggle (or the whole banner, if analytics was the only category triggering consent under ePrivacy). Coordinate this with your legal review; the wording change is small but the implication is real.
5. Verify the new tool reports comparable numbers. Run both tools for 30 days. Cookieless tools will typically report 5–15% higher numbers than GA4 because they capture visitors who declined cookies. Cross-check page-view totals, top sources, top pages, and conversion counts. If numbers diverge by more than 25%, check that the new tag is firing on all pages (Plausible's verification tool catches this).
6. Cancel GA4 only after 60 days of parallel running. Keep GA4 active long enough to establish trust in the new numbers. Cancellation removes the historical UI but your BigQuery export remains yours. Most teams keep GA4 paid for one full month after cancelling to handle any forgotten dashboards or shared reports linking to it.