The 12 best Google Analytics alternatives in 2026

sonex connects to Stripe or Polar with a read-only key and puts revenue on the same chart as the traffic that earned it, so the question is 'did that campaign make money' rather than 'did that campaign get clicks'. Around it you get the reports people actually open — visitors, pages, referrers, campaigns, funnels, sessions and a world map — behind a single script tag of roughly two kilobytes. It counts visits without cookies, fingerprinting or any personal data, so there is nothing to ask consent for, and reports load in seconds rather than requiring a dashboard to be assembled first.

The trade-off. It is a hosted product, not open source, so self-hosting is not an option. And because it deliberately collects no personal data, it cannot do the things that require personal data: cross-site retargeting audiences, individual user profiles, or advertising integrations. Revenue is read from your payment provider over its API, which means it is revenue over time beside traffic over time — not per-visitor revenue attribution.

Plausible is the tool most people name first when they think of cookieless analytics. It is open source, hosted in the EU, and built around a single-page dashboard that shows the numbers a small team looks at. The self-hosted edition means you can run it on your own infrastructure if hosting location matters more than convenience.

The trade-off. The deliberate simplicity is the point, and also the limit — if you need deeper report composition than the dashboard offers, you will feel the ceiling. Self-hosting is genuinely available but is real operational work, not a checkbox.

Fathom is a hosted, cookieless tool with a long track record and a lot of attention paid to where data physically lives, including EU isolation for European visitors. It is aimed squarely at owners who want the compliance question settled and the dashboard to stay legible.

The trade-off. Closed source and hosted only, so it is a trust relationship rather than something you can inspect or run yourself. Like Plausible, it keeps the feature surface narrow by design.

Matomo is the long-standing open-source analytics platform, and it is the honest answer for anyone who wants GA-shaped depth — segments, goals, ecommerce, heatmaps, plugins — while keeping the database on their own servers. It can be configured to run without cookies, which is what makes it a genuine privacy option rather than just a self-hosted clone.

The trade-off. Whether you need a consent banner depends entirely on how you configure it, so 'Matomo is GDPR-compliant' is only true of a correctly-configured Matomo. Self-hosting a full analytics platform is a real infrastructure commitment, and the interface carries the weight of everything it can do.

Simple Analytics takes the minimal end of the category seriously: a single readable page of numbers, no cookies, EU-based, with the pitch that most teams never used the other ninety percent of GA anyway.

The trade-off. If you do need the other ninety percent — funnels, retention, campaign attribution — this is not the tool that will grow into it.

PostHog is a product-analytics platform — event pipelines, feature flags, experiments, replay — that also does web analytics. If your real question is 'what do users do inside my app', it answers a much bigger question than any tool above.

The trade-off. It is not a drop-in privacy replacement for GA. In its default configuration it uses cookies and identifies users, which puts you back in consent-banner territory. It is also a substantially larger system to learn and to instrument.

Cloudflare offers cookieless web analytics at no cost, which makes it the obvious first step for anyone who wants to stop using GA today and does not yet know what they need instead. It reports the basics honestly and costs nothing.

The trade-off. The basics are the whole product. There are no funnels, no campaign attribution worth the name, and no path to grow into deeper reporting — when you outgrow it, you migrate again.

If you already deploy on Vercel, its analytics is one toggle and one component away, covering visitors and Core Web Vitals side by side. The integration is the selling point: nothing new to sign up for, nothing new to bill.

The trade-off. It is tied to the platform, so it does not travel with you if you move hosts, and the reporting is intentionally shallow next to a dedicated analytics tool.

Pirsch is cookieless, EU-based and aimed at developers, with an API and server-side integration options that make it comfortable to pull your numbers into something else. Its core is open, which makes the counting logic inspectable.

The trade-off. Smaller than the better-known names, so there is less third-party writing, fewer integrations, and a smaller community to ask when something is unclear.

GoatCounter is small, open source and genuinely free for personal use. For a blog where the only real question is 'did anyone read this', it is the right size of tool and refuses to become bigger.

The trade-off. It is explicitly not built for commercial analytics needs, and the hosted free tier comes with the expectation that businesses pay or self-host. Do not plan a marketing function around it.

Piwik PRO grew out of the same lineage as Matomo and aimed itself at regulated sectors — finance, healthcare, government. It ships a consent manager and a tag manager alongside analytics, which matters when your obligation is not just to comply but to demonstrate compliance.

The trade-off. It is enterprise software, with the procurement conversation, configuration surface and learning curve that implies. For a small site it is far more machinery than the problem needs.

Clicky has been doing realtime, per-visitor analytics for a long time, and it is still good at the thing it was always good at: watching individual visits happen live rather than reading yesterday's summary.

The trade-off. It uses cookies and tracks individual visitors, so it does not solve the consent-banner problem — it is a GA alternative on ergonomics, not on privacy.