The 9 Best Privacy-Friendly Google Analytics Alternatives in 2026

Google deprecated Universal Analytics in July 2023 and forced everyone to migrate to GA4. For many teams, that migration was the final push they needed to look elsewhere. GA4 is a more complex product than UA, built around an event-based data model that requires meaningful configuration effort before it produces useful reports. The interface was redesigned from scratch, and the learning curve is real.

There are also more principled reasons to leave. If your site has visitors from the EU, GA4 requires a consent management platform (CMP) and a properly configured consent banner. Without one, you are not legal under GDPR. With one, you are paying $20 to $100 per month for the CMP, watching a meaningful percentage of visitors decline consent and disappear from your data, and adding JavaScript weight to every page load. Data protection authorities in France, Austria, Italy, and Denmark have each ruled that using Google Analytics in its standard configuration transfers personal data to US servers in violation of GDPR.

And then there is sampling. GA4 applies sampling in certain report types for high-traffic properties. The threshold is not publicly documented as a fixed number and varies by report type and configuration, but it is commonly observed on properties exceeding several hundred thousand sessions over a given date range.

These are not hypothetical concerns. If any of them apply to your situation, there are good alternatives. Here is an honest look at nine of them.

What to Look For in a GA Alternative

Before comparing tools, it is worth being clear about what actually matters.

Script size. Analytics JavaScript runs on every page load and blocks nothing in the network waterfall if loaded asynchronously, but it still adds to total page weight. The difference between a 1.8KB script and a 45KB script matters at scale, especially on mobile connections.

GDPR compliance approach. There are two ways to achieve compliance: collect no personal data (making consent banners unnecessary), or collect personal data with proper consent flows. The first approach is simpler operationally and better for data completeness. Because these tools collect no personal data, GDPR does not apply to their operation at all - no lawful basis is required when there is no personal data being processed.

Data ownership and location. Where does your data live, and can you get it out? EU-hosted tools reduce data transfer concerns. Self-hosted tools give you full control. Cloud tools with clear data export options are preferable to ones with no export path.

Pricing model. Pageview-based pricing is common but can surprise you when a post goes viral. Flat-rate pricing is easier to budget. Free tiers with meaningful limits are genuinely useful for smaller sites.

SaaS-specific metrics. Standard web analytics tools track pageviews, sessions, and referrers. If you run a SaaS business, you also care about MRR, churn, trial conversions, and ARPU. Most analytics tools require custom integrations or separate dashboards for these. A few handle it natively.

The Tools

1. Abner

Abner is a privacy-first analytics platform built specifically for SaaS founders who want web traffic data and revenue metrics in the same place. The tracking script weighs 1.8KB (core) with an additional 1.9KB for Web Vitals loaded lazily, so it has no meaningful impact on Core Web Vitals scores.

IPs are hashed immediately on receipt using a daily-rotating salt and are never stored. There are no cookies, no fingerprinting, and no cross-site tracking. This means no consent banner is required under GDPR or CCPA.

The feature that separates Abner from every other tool in this list is the Stripe integration. Connect your Stripe account and you get MRR, churn rate, LTV, ARPU, and trial-to-paid conversion rate in the same dashboard as your pageview data. You do not need a separate product like Chartmogul or Baremetrics unless you need very deep revenue analytics.

Other features include custom events, UTM tracking, outbound link tracking, file download tracking, Google Search Console integration (organic queries and page data), and real-time data with no sampling.

Pricing: Starter $19/mo, Pro $49/mo, Business $99/mo. 14-day free trial, no credit card required.

Best for: SaaS founders who want web analytics and revenue metrics without running two separate tools.

One limitation: Abner does not have session replay or funnel visualization. If you need those, you will want to pair it with a product analytics tool or wait for those features to ship.

2. Plausible Analytics

Plausible is an Estonian company that stores data on Hetzner servers in Germany. It is open source under the AGPL license, which means you can audit the code and, if you choose, self-host it. The hosted version starts at $9/month for up to 10,000 pageviews.

The interface is genuinely simple: one page, all your key metrics, no configuration required for basic setup. The script is tiny. Plausible is cookieless and requires no consent banner.

There is no Stripe integration or SaaS revenue metrics. Plausible is a pure web analytics tool. For content sites, blogs, and marketing pages, it is excellent. For a SaaS dashboard where you also need revenue context, you will need an additional tool.

Pricing: $9/mo for 10K pageviews, scaling up from there.

Best for: Teams that want simple, EU-hosted, open-source privacy analytics and do not need SaaS metrics.

One limitation: No revenue or SaaS metrics at any tier.

3. Fathom Analytics

Fathom is a Canadian company with a cookieless, GDPR-compliant analytics product that offers an EU isolation option, meaning your data can be processed and stored exclusively on EU servers if you enable it. The interface is clean and fast. Pricing starts at $14/month for 100,000 pageviews.

Fathom has been around since 2018 and has a strong reputation for reliability. The product is deliberately simple. There is no funnel builder, no session replay, and no revenue metrics, but the core analytics are solid and the data is always unsampled.

Pricing: $14/mo for 100K pageviews.

Best for: Teams that want cookieless analytics with an EU data residency option and straightforward pageview-based reporting.

One limitation: No SaaS metrics, and pricing scales with pageviews rather than being flat-rate.

4. Simple Analytics

Simple Analytics is a Dutch company with servers in the Netherlands. The product lives up to its name: the interface is minimal, setup takes about two minutes, and the script is lightweight. No cookies, no consent banner. Pricing starts at $9/month.

The product is particularly well-suited for solo founders and small teams who want to know where their traffic comes from without spending time configuring dashboards. Simple Analytics also offers a public dashboard feature, which is useful for open startups that publish their metrics.

Pricing: $9/mo starter.

Best for: Founders who want the fastest possible setup with EU-hosted data.

One limitation: Feature set is intentionally minimal. No SaaS metrics, no custom events at the lowest tier, no deep filtering.

5. Matomo

Matomo is the most feature-complete open-source analytics platform available. It started as Piwik in 2007 and has accumulated a substantial feature set: goal tracking, funnels, heatmaps (via plugin), A/B testing, e-commerce tracking, GDPR tools, and a great deal more. It is one of the most established open source analytics tools available.

Self-hosted Matomo is free. Cloud-hosted Matomo starts at around $23/month. In both cases, Matomo supports both cookie-based and cookieless tracking modes. In cookieless mode, it does not require a consent banner. In cookie mode, it does.

If you need the richest possible feature set and are willing to operate your own infrastructure, Matomo is the strongest option. If you self-host in an EU data center, you also satisfy data residency requirements.

Pricing: Free self-hosted; cloud from ~$23/mo.

Best for: Teams that need deep analytics features, want full data ownership, and have engineering resources to manage infrastructure.

One limitation: Self-hosting Matomo requires real operational effort. The cloud version, while fully managed, is not cheap relative to simpler tools.

6. PostHog

PostHog is open source product analytics, not web analytics in the traditional sense. It tracks user behavior, supports feature flags, and includes session replay. It is primarily aimed at engineering teams who want to understand how users interact with their product rather than where traffic comes from.

PostHog has a generous free tier and a well-documented self-hosted option. If your primary question is "which part of my onboarding flow is causing drop-off?" rather than "which referrer sends the most traffic?", PostHog is the better tool. If you want both, you might run PostHog alongside a lighter analytics tool.

There is no built-in revenue or SaaS metrics. Attribution and referrer tracking are less central to the PostHog experience than they are in purpose-built web analytics tools.

Pricing: Free tier available; paid plans scale with event volume.

Best for: Engineering teams building products who want session replay, funnels, and feature flag management alongside event tracking.

One limitation: More complex to configure than any other tool in this list. The web analytics view is secondary to the product analytics core.

7. Umami

Umami is a self-hosted, open-source analytics tool with a clean interface and a small script footprint. It is MIT-licensed, which is more permissive than Plausible's AGPL. There is a cloud-hosted version with a free tier (up to 3 websites, 10,000 events/month) and paid plans from $9/month.

Setup on your own infrastructure is straightforward for anyone comfortable with Docker and a PostgreSQL database. The interface is modern and well-designed. Umami gives you pageviews, sessions, bounce rate, referrers, and custom events.

For self-hosting, Umami is one of the easiest options. For cloud hosting, it is comparable to Plausible and Simple Analytics in terms of features and price.

Pricing: Free self-hosted; cloud from $9/mo.

Best for: Developers who want a self-hosted solution with a modern interface and MIT license.

One limitation: No SaaS metrics. Cloud option is newer and has a smaller track record than Plausible or Fathom.

8. Cloudflare Web Analytics

Cloudflare offers a free analytics product that works differently from all the others on this list. Rather than loading a JavaScript beacon from your site, Cloudflare injects a small script server-side and processes traffic data at the network edge. If you are already using Cloudflare for DNS and CDN (which most sites are), adding Cloudflare Web Analytics requires checking a box in the dashboard.

The product is genuinely free with no pageview limits. The data includes visits, pageviews, top pages, referrers, countries, devices, and browsers. There is no custom event tracking, no UTM parameter parsing, and no SaaS metrics.

Pricing: Free.

Best for: Sites already on Cloudflare that want basic traffic data with zero cost and zero setup.

One limitation: Very limited feature set. No custom events, no conversion tracking, no revenue metrics. Useful for basic traffic monitoring only.

9. Pirsch

Pirsch is a German company with servers in Germany, making it one of the strongest options for EU data residency compliance. The product is cookieless, GDPR compliant, and lightweight. Pricing starts at $5/month for up to 10,000 pageviews.

Pirsch supports custom events, goals, email reports, and an API for custom integrations. The interface is clean. For European companies that specifically need German-hosted analytics, Pirsch is worth a close look.

Pricing: From $5/mo for 10K pageviews.

Best for: European companies that need data hosted in Germany and want a straightforward, affordable privacy-analytics product.

One limitation: Smaller ecosystem and community than Plausible or Matomo. No SaaS revenue metrics.

Feature Comparison Table

Script Size Comparison

The following chart shows approximate tracking script sizes across these tools. A lighter script means faster page loads and less JavaScript parse time on every page view, which matters at scale.

Which Tool Should You Choose?

"I run a SaaS and want traffic and revenue data in one place."
Use Abner. It is the only tool in this list that combines web analytics with Stripe-native SaaS metrics (MRR, churn, LTV, ARPU, trial conversions) in a single dashboard. Web analytics starts at $19/month on the Starter plan. SaaS metrics (MRR, churn, LTV, ARPU) are included from the Pro plan at $49/month. The 14-day trial requires no credit card.

"I want the simplest privacy analytics with EU hosting."
Use Plausible or Simple Analytics. Both are cookieless, require no consent banner, and store data in EU data centers. Plausible has a larger community and more integrations. Simple Analytics has a marginally simpler interface and a public dashboard feature.

"I need full control over my data and want to self-host for free."
Use Matomo or Umami. Matomo gives you the deepest feature set. Umami gives you a cleaner interface with a more permissive MIT license. Both require you to run a server and a database.

"I want product analytics: funnels, user behavior, session replay."
Use PostHog. None of the other tools in this list do what PostHog does for product analytics. Accept the larger script and more complex setup in exchange for the capability.

"I'm on Cloudflare and just want basic traffic data for free."
Enable Cloudflare Web Analytics. It takes two minutes and costs nothing. Understand that you are getting basic traffic counts, not anything beyond that.

Final Thought

The right tool depends on what question you are actually trying to answer. If the question is "where does my traffic come from and is it growing?", most of these tools answer it adequately. If the question is "is my MRR growing in proportion to my traffic?", only Abner answers it in the same place.

Most teams switching away from GA4 do so because of compliance friction, complexity, or both. Any tool in this list eliminates the compliance friction. The complexity question is a matter of what you need: simpler is almost always better unless you genuinely need the capabilities that make a tool more complex.