Best Google Analytics Alternatives in 2026 (Plausible, Fathom, Matomo & More)

Almost every team that sticks with Google Analytics 4 past 2024 has the same complaint: the reports look busy, the numbers do not match reality, and nobody opens it more than once a month. The switch from Universal Analytics broke the muscle memory of a decade, the cookie consent banner shaves 30 to 60 percent off traffic counts, and the interface punishes anyone who only wants to answer simple questions.

If you got here, you already know you want out. The harder question is which tool to land on. There are eight serious alternatives in 2026 and each one picks a different trade-off: simpler interface, better privacy story, enterprise depth, lower cost, or (in exactly one case) native revenue tracking. This guide ranks them honestly.

If you were searching for a Plausible alternative specifically, skip ahead. We absorbed that comparison into this pillar, with a dedicated section on drop-in Plausible replacements.

Why teams leave Google Analytics in 2026

Four things broke GA4 for a lot of websites, and none of them are getting better.

Privacy law. GDPR, ePrivacy, nFADP in Switzerland, and CCPA in California require explicit consent before you can drop identifying cookies. French, Italian, German, and Austrian regulators have ruled that GA4 in its default configuration is not compliant without server-side proxying. When a consent banner is in the way, 30 to 60 percent of visitors click reject or close it. Your traffic charts quietly lose that data forever.

Ad blockers. uBlock Origin's default filter list blocks requests to google-analytics.com. On developer-heavy sites, 25 to 40 percent of traffic never shows up in GA4 for this reason alone.

The product itself. GA4's event-based data model is more flexible than Universal Analytics on paper, but the dashboards are harder to read, the custom report builder is slow, and default retention is 14 months unless you wire up BigQuery. Teams who spent a decade getting fluent in GA now open the tool, get confused, and close it again.

No revenue view. GA4 shows sessions and events. It does not show revenue. For anyone selling software, courses, or subscriptions, that is the gap that actually costs money.

What to evaluate when choosing an alternative

Before getting into the list, here are the five criteria that actually matter. Score each tool against these, not against the marketing copy on its homepage.

We used these five criteria to rank the eight tools below. Nothing magic. Just what we look for when founders ask us which tool they should switch to.

At a glance: feature matrix

Tool	Cookieless	Revenue tracking	Open source	Self-host	Script size	Starting price
DataSaaS	Yes	Native (Stripe, LemonSqueezy, Polar, Paddle)	No	Yes	4.8 KB	$7.99/mo
Plausible	Yes	No	Yes (AGPL)	Yes	Under 1 KB	$9/mo
Fathom	Yes	No	No	No	Under 2 KB	$15/mo
Matomo	Configurable	E-commerce plugin	Yes (GPL)	Yes	22 KB	Free self-host / $23/mo cloud
Simple Analytics	Yes	No	No	No	Under 3 KB	$9/mo
Umami	Yes	No	Yes (MIT)	Yes	Under 2 KB	Free self-host / $9/mo cloud
GoatCounter	Yes	No	Yes (EUPL)	Yes	Under 1 KB or no-JS pixel	Free non-commercial / $5/mo
GA4	No (cookies required)	Manual setup with ecommerce events	No	No	45 KB (gtag.js)	Free to use

Sources: DataSaaS internal evaluation, 2026 Q1, Plausible Analytics documentation, Fathom Analytics pricing page, Matomo self-hosted docs, Simple Analytics pricing, Umami GitHub repository, GoatCounter sustainability page, Google Analytics 4 documentation

The feature matrix tells you what is possible with each tool. It does not tell you which one is right for your team. The rest of this guide does that.

1. DataSaaS

Best for: SaaS founders, course creators, and indie hackers who need to connect traffic to revenue.

Full disclosure: this is our product. We built it because we were tired of the workflow. Open GA4, look at traffic by source, open Stripe, look at revenue by customer, open a spreadsheet, try to join them on email, give up. Every other tool on this list does the first half of that loop. None do the second.

DataSaaS is a lightweight analytics platform that ingests traffic via a 4.8 KB first-party script, pipes it into Postgres with a stable visitor id, and joins that data against Stripe, LemonSqueezy, Polar, and Paddle webhook events. The dashboard shows Revenue Per Visitor (RPV) by source, page, country, device, and campaign.

Strengths:

• Native revenue attribution across Stripe, LemonSqueezy, Polar, and Paddle, wired up in five minutes.
• Cookieless tracking by default, so no consent banner and no loss of 30 to 60 percent of visitors.
• First-party script served from your own domain, which defeats default uBlock Origin filter lists.
• Custom events via datasaas.track() for funnel steps and goal completion.
• REST API, public dashboards, embeddable widgets, CSV and API data export.
• Self-hostable on any VPS. Postgres under the hood, not ClickHouse.

Limitations:

• Younger ecosystem than Matomo or Plausible. Fewer community plugins today.
• No mobile SDK yet. Web only.
• Not open source in the same sense as Plausible or Umami. Self-hosting is supported but the code is not public.

Pricing: Starter at $7.99/mo for 20,000 events, Growth at $14.99/mo for 100,000 events. Cheaper than Plausible, Fathom, and Matomo Cloud at every tier. See the full pricing page for Scale and Enterprise tiers.

Verdict: If you sell software and want to stop guessing which marketing spend paid you back, this is the only tool on the list that shows you natively. If you only care about traffic counts for a content site, you will pay less with Plausible or Umami. See DataSaaS vs Google Analytics.

2. Plausible Analytics

Best for: Content sites, blogs, and marketing pages that want accurate pageview stats without consent banners.

Plausible is the privacy-analytics default in 2026. Cookieless, open source under AGPL, ships a tracking script under 1 KB, single-page dashboard that covers 90 percent of what most websites need. It earned its reputation.

Strengths:

• True cookieless tracking. No consent banner, period.
• One-page dashboard that a non-technical founder can read in 30 seconds.
• Self-hostable with Docker, though the stack (PostgreSQL, ClickHouse, Elixir) is heavier than Umami's.
• Mature product, seven years of development, sustainable independent company.
• Clean UTM tracking, goal tracking, and basic custom events.

Limitations:

• No revenue tracking, and no roadmap to add it. This is the biggest single reason teams outgrow Plausible.
• Custom events are basic compared to PostHog, Matomo, or Mixpanel. No funnels, no cohorts.
• Self-hosting ClickHouse is a real ops task. Plan for 2 GB of RAM minimum.
• Per-pageview pricing scales faster than some competitors. At 10M pageviews you pay $169/mo.

Pricing: Starts at $9/mo for 10K pageviews. Self-hosting is free.

Verdict: If your question is "how many visitors came to this page from what source" and nothing more, Plausible is excellent and probably the right answer. If you sell a product and want to know which of those visitors paid you, see DataSaaS vs Plausible.

3. Fathom Analytics

Best for: Agencies and consultants managing 10 or more client sites.

Fathom was one of the first privacy-focused analytics tools and has matured into the most polished small-team product in the category. Where Plausible competes on openness and price, Fathom competes on dashboard quality and multi-site management.

Strengths:

• Up to 50 sites on a single paid plan. For agencies this can pay for the tool five times over.
• EU data isolation, stored and processed entirely in the EU for European customers.
• Very clean dashboard UX, commonly cited as best-looking in the category.
• Built-in uptime monitoring and email reports.
• Cookieless with no consent banner required.

Limitations:

• Closed source. No self-hosting, ever.
• No revenue tracking.
• More expensive than Plausible at entry tier: $15/mo vs $9/mo.
• Custom events are functional but basic.
• Less transparent company operations than Plausible's public metrics and roadmap.

Pricing: Starts at $15/mo for 100K pageviews. All plans include the 50-site limit.

Verdict: If you run an agency and your analytics expense scales with client sites, Fathom is materially cheaper than Plausible at scale. For a single site, Plausible is better value. See DataSaaS vs Fathom.

4. Matomo

Best for: Enterprises and regulated industries that need GA4-level feature depth with full data ownership.

Matomo (formerly Piwik) is the closest feature-for-feature replacement for Google Analytics, shipping since 2007. If you are leaving GA4 because you want something simpler, Matomo is not that tool. If you want the same features with full data ownership, it is exactly the tool.

Strengths:

• Full-featured analytics: funnels, cohorts, custom dimensions, segmentation, event flows.
• Heatmaps, session recordings, and A/B testing as premium add-ons.
• E-commerce tracking with basic revenue data, though the setup is manual.
• The only tool on this list that offers a direct GA4 data import.
• Self-hosted for free, cloud option available.

Limitations:

• Self-hosted runs on PHP and MySQL, which feels dated in 2026 and performs worse than ClickHouse-based alternatives at high event volume.
• Hundreds of reports. Takes a week before the interface stops feeling overwhelming.
• Cookieless mode exists but is not the default.
• Premium feature pricing stacks. A fully loaded Matomo instance can cost more than Adobe Analytics.
• The script is 22 KB, heaviest on this list after GA4.

Pricing: Self-hosted is free. Cloud starts at $23/mo for 50,000 actions. Premium features are paid add-ons.

Verdict: If you have a DevOps team, compliance requirements, and a need for genuine feature depth, Matomo is the hardest tool on this list to replace. For everyone else, the complexity tax is not worth it. See DataSaaS vs Matomo.

5. Simple Analytics

Best for: Solo founders and small teams who want analytics to be boring.

Simple Analytics is the most minimal tool in this comparison, more minimal than Plausible. The dashboard shows visitors, pageviews, referrers, and pages. No funnels, no segmentation, no cohort analysis. The feature set is the product.

Strengths:

• Genuinely simple. A non-technical founder is fluent after 30 seconds.
• AI-powered natural language queries: ask "what was my top referrer from Germany last week" and get an answer without touching a filter.
• Tweet viewer shows tweets that linked to your site. Surprisingly useful for content creators.
• Cookieless, no consent banner, zero PII collected.

Limitations:

• Very limited feature set. No revenue tracking, no funnels, no segmentation.
• Closed source, no self-hosting.
• You will outgrow it before you outgrow anything else on this list.

Pricing: Starts at $9/mo for 100K pageviews.

Verdict: If analytics is a "glance at it once a week" task, Simple Analytics does that job and nothing else. The AI query feature is faster than filters in every other tool on this list. If you need to join traffic to revenue, this is not your tool.

6. Umami

Best for: Developers and technical founders who want free, self-hosted analytics with a modern tech stack.

Umami is the open-source darling for engineers who want to own their analytics data. Built on Next.js and PostgreSQL, MIT-licensed, free to self-host indefinitely. Where Plausible's self-hosted stack requires PostgreSQL plus ClickHouse, Umami runs on just PostgreSQL, which is much easier to operate.

Strengths:

• MIT license is maximally permissive. You can modify the code and ship it as a service without releasing your modifications, which AGPL-licensed Plausible does not allow.
• Self-hosting is simple: Docker plus PostgreSQL. Runs on a $5 VPS.
• Modern tech stack. JavaScript developers can read the codebase on day one.
• Cookieless by default, real-time dashboard, custom events, multi-site.

Limitations:

• No revenue tracking.
• Cloud offering is less mature than the self-hosted one. Pricing and feature parity lag Plausible and Fathom.
• Smaller ecosystem of integrations than Plausible or Matomo.
• Community-only support on free tier.

Pricing: Free when self-hosted. Cloud from $9/mo.

Verdict: For a developer who wants to run their own analytics at zero marginal cost, Umami is the cheapest viable option on this list. For anyone who wants revenue attribution, it is not.

7. GoatCounter

Best for: Personal sites, open-source project pages, and no-JavaScript environments.

GoatCounter is the quirky outsider. It is built and maintained by Martin Tournoij, a single developer. The standout feature is that it works without JavaScript, using a 1x1 tracking pixel. For privacy-extreme audiences, old email clients, RSS readers, and AMP pages, this is a real capability nothing else here offers.

Strengths:

• Free for non-commercial use, generous for open-source project sites.
• No-JavaScript tracking via a 1x1 pixel works where scripts fail.
• EUPL license, required by some European public-sector organizations.
• Extremely low resource usage.
• Accessible dashboard design, better than most for screen-reader users.

Limitations:

• Single-developer bus factor is a real consideration for any commercial project.
• Very minimal feature set. No funnels, no cohorts, no segmentation.
• Custom events in the traditional sense are not supported.
• No revenue tracking.

Pricing: Free for non-commercial use. $5/mo for commercial use. Self-hosted is free.

Verdict: If you run a personal blog or open-source project page, GoatCounter is a delightful tool. For a commercial product, the single-developer risk and feature ceiling make it hard to recommend as a primary analytics tool.

8. Honorable mentions: Pirsch, PostHog, Clicky, Cabin

Four tools did not make the main list but are worth a sentence each.

Pirsch is a German-made cookieless tool starting at $5/mo, the lowest on the market. Server-side tracking option dodges ad blockers entirely. No revenue tracking, smaller community.

PostHog is a product analytics suite, not a web analytics tool. It bundles funnels, session recordings, feature flags, A/B testing, and surveys. Free tier is generous (1M events), but it requires cookies and the dashboard is complex. Many teams run PostHog alongside DataSaaS or Plausible.

Clicky has been around since 2006 with detailed real-time individual visitor tracking. Cookie-based, UI looks dated, hard to recommend over modern alternatives.

Cabin positions itself as carbon-conscious analytics, reporting environmental footprint alongside traffic stats. Very early-stage, minimal feature set.

Looking for Plausible alternatives specifically?

Plausible is the most common tool people switch to when they leave GA4, and it is also the most common tool people switch away from when they outgrow it. If you landed here looking for Plausible alternatives specifically, this section is the drop-in replacement guide.

Why teams leave Plausible

Plausible does its job extremely well inside the lane it picked. Teams leave for a short list of reasons:

• No revenue tracking. Plausible tells you where traffic comes from, not which traffic pays you. For SaaS and digital products, this is the gap that costs money.
• Limited custom events. Events and goals are basic compared to Matomo, PostHog, or Mixpanel. No funnels, no user-property segmentation, no complex event chains.
• Self-hosting complexity. ClickHouse plus PostgreSQL plus Elixir is heavier than the alternatives. Umami's PostgreSQL-only stack is measurably easier to run.
• Per-pageview pricing at scale. At 10M pageviews/mo, Plausible Cloud is $169/mo. Some alternatives charge less at the same volume.
• AGPL license concerns. If you want to build proprietary features on top of an open-source analytics base and ship them as a service, the AGPL requires you to release your modifications. Umami's MIT license does not.

These are not flaws in Plausible. They are deliberate trade-offs that work until they do not.

Drop-in Plausible alternatives

If you are migrating from Plausible specifically, four tools are genuinely drop-in replacements. Same cookieless story, same lightweight script, same dashboard-centric UX.

DataSaaS is the revenue upgrade. Same cookieless approach, same install time, but with Stripe, LemonSqueezy, Polar, and Paddle wired in. If your reason for leaving Plausible is that you want to see which traffic pays you, this is the drop-in move. Migration takes roughly 30 minutes: remove the Plausible script, add the DataSaaS script, connect a payment provider. Compare DataSaaS vs Plausible for the feature-by-feature breakdown.

Fathom is the multi-site upgrade. If you left Plausible because managing 15 client sites on separate Plausible plans got expensive, Fathom's flat 50-site pricing is cheaper at agency scale. You give up open source and self-hosting in exchange.

Simple Analytics is the minimalism upgrade. If you left Plausible because it is still too complex for you (some founders genuinely feel this), Simple Analytics strips it down further and adds AI-powered natural language queries on top.

Umami is the ops upgrade. If you left Plausible because you got tired of babysitting ClickHouse, Umami runs on PostgreSQL alone. Same cookieless story, MIT license instead of AGPL, free to self-host on a $5 VPS. You give up a little polish on the cloud side.

What the migration actually looks like

For all four tools, the technical migration from Plausible is straightforward because each is cookieless. Remove the Plausible script, add the new one, verify data is flowing. No consent banner changes, no privacy policy updates.

What you lose is historical data. Plausible exports to CSV for archival, but importing into any other tool is generally not supported because data models differ. The clock starts on migration day. By day 90, the new tool's history is long enough that the loss stops mattering.

Pricing at 100K events per month

The feature matrix above does not tell you the whole pricing story because different tools price on different units (pageviews versus events versus visitors). Here is what each tool actually costs at a typical mid-sized site of 100K events per month, with the equivalent tier, as of April 2026.

Tool	Plan name	Monthly price	Unit	Included sites
DataSaaS	Growth	$14.99	events	Unlimited
Plausible	Growth	$19	pageviews	50
Fathom	Starter	$15	pageviews	50
Matomo Cloud	Essential	$23	actions	1
Simple Analytics	Starter	$9	pageviews	Unlimited
Umami Cloud	Pro	$19	events	Unlimited
Pirsch	Starter tier	$9	pageviews	10
GoatCounter	Commercial	$5	pageviews	Unlimited

Sources: DataSaaS pricing page April 2026, Plausible pricing April 2026, Fathom pricing April 2026, Matomo Cloud pricing April 2026, Simple Analytics pricing April 2026, Umami Cloud pricing April 2026, Pirsch pricing April 2026, GoatCounter pricing April 2026

A few things jump out. GoatCounter and Pirsch are the cheapest paid options. DataSaaS is the only tool in the $15 range that includes native revenue attribution. Matomo Cloud is the most expensive because you are paying for the full GA4-replacement feature set. Umami is the only tool where self-hosting is genuinely free and easy enough that most developers will choose it over the cloud tier.

Pricing is not the deciding factor for most teams. But if you are trying to replace GA4 at a large site, the difference between $15/mo and $169/mo at 10M pageviews is a real budget line item.

Decision framework: choose X if...

If reading eight tool reviews made the choice harder instead of easier, here is the shortest version of our recommendation.

• Choose DataSaaS if you sell software, courses, or subscriptions and want to know which traffic pays you. It is the only tool on the list with native Stripe, LemonSqueezy, Polar, and Paddle integrations and Revenue Per Visitor breakdowns by channel.
• Choose Plausible if you run a content site or blog, you do not monetize directly through your website, and you want the most mature cookieless analytics tool available.
• Choose Fathom if you are an agency managing many client sites and the 50-site flat pricing actually saves you money at your scale.
• Choose Matomo if you need GA4 feature depth (funnels, heatmaps, session recordings, A/B tests) with full data ownership and you have a DevOps team to maintain it.
• Choose Simple Analytics if you want analytics to be boring and the AI natural language queries appeal to you more than filters.
• Choose Umami if you are a developer and want genuinely free self-hosted analytics with the least ops burden.
• Choose GoatCounter if you run a personal blog, an open-source project page, or you need tracking without JavaScript, and you are comfortable with the single-developer bus factor.

Migration guide (short version)

Switching analytics tools takes 30 minutes of technical work and four to six weeks of mental adjustment. Here is the 30 minutes:

1. Install the new script. Add the one-line snippet to your root layout. For Next.js App Router, put it in app/layout.tsx. Verify events fire via network tab.
2. Configure your domain. Add the domain in the new tool's dashboard. For first-party scripts, set up the custom domain (CNAME record) to maximize accuracy against ad blockers.
3. Connect revenue. For DataSaaS, add the webhook URL to Stripe, LemonSqueezy, Polar, or Paddle. Under five minutes per provider.
4. Verify. Click through your site in an incognito window. Confirm the visit shows up. Test UTMs with /?utm_source=test.
5. Archive GA4 data. Export the reports you care about as CSV or PDF. Accept that cross-tool imports are not meaningful.
6. Remove the GA4 script. Remove gtag.js after one week of running both in parallel. The parallel week sanity-checks the new tool's numbers.

That is the whole migration. Getting fluent in the new dashboard takes a month. Give yourself that before judging the switch.

Frequently asked questions

Frequently asked questions

Is Google Analytics 4 actually free?

GA4 is free in the sense that Google does not bill you for it. You pay with your data, which is used across Google's advertising products. You also pay in time: setting up cookie consent, losing 30 to 60 percent of visitors to consent rejection, and managing the complexity of the GA4 interface. For many small teams, the 'free' price tag hides significant indirect costs that are larger than the monthly fee for a paid alternative.

Which Google Analytics alternative is best for SaaS?

DataSaaS is the only tool in the category with native revenue attribution, which is what SaaS teams usually need from analytics. If you sell software and want to see Revenue Per Visitor by channel, page, and campaign, DataSaaS is purpose-built for that use case. If you only need traffic counts without revenue context, Plausible is the more common SaaS choice.

Do any of these alternatives require a cookie consent banner?

The cookieless tools (DataSaaS, Plausible, Fathom, Simple Analytics, Umami, Pirsch, GoatCounter, Cabin) do not require a consent banner because they do not set identifying cookies. Matomo can be configured to run without cookies but is not cookieless by default. PostHog and Clicky do require consent banners in the EU.

Can I import my historical Google Analytics data?

Only Matomo offers a direct GA4 data import, and even that is imperfect because the data models differ. For every other tool on this list, you start with a fresh dataset. In practice this matters less than it sounds. GA4's data model is so different from cookieless alternatives that historical cross-tool comparisons are not meaningful anyway. Export your GA4 reports as CSV for archival, then accept that the clock starts on migration day.

Will switching analytics tools affect my SEO?

No. Analytics tools do not affect search rankings. Google has publicly confirmed that GA4 does not provide any ranking advantage. If anything, removing a cookie consent banner by switching to a cookieless tool can improve Core Web Vitals slightly by reducing page load overhead, which does affect rankings. The SEO impact of switching is neutral at worst, positive at best.

How long does the migration take?

The technical migration takes 30 minutes for any cookieless tool on this list. The organizational adjustment (getting fluent in a new dashboard) takes four to six weeks. Most teams find that after the first month, they stop missing GA4 because the new tool's interface lets them answer questions faster. We recommend running both tools in parallel for one week as a sanity check before removing the GA4 script.

Can I track conversions and revenue without Google Analytics?

Every tool on this list supports conversion tracking, through custom events, goal tracking, or native revenue integration. Mechanism differs, capability is universal. For native revenue tracking with Stripe, LemonSqueezy, Polar, or Paddle, DataSaaS is the only tool that does it without manual tagging. See our guide to Revenue Per Visitor for the calculation method.

Which alternative has the best API?

Matomo's API is the most extensive because the product is. DataSaaS, Umami, and Plausible all offer clean REST APIs for building custom dashboards. Fathom and Pirsch cover the basics. If API access is your primary concern, read the documentation for each tool directly. One thing to check: whether the API exposes aggregated data only or gives you access to the raw event stream.

Is Plausible still a good choice?

Yes, for the use case it was designed for. Plausible is excellent for content sites, blogs, and marketing pages that need accurate pageview counts without consent banners. This article exists for teams who have outgrown Plausible or who need capabilities Plausible does not offer (revenue attribution, deeper custom events, different self-hosting stack), not because Plausible is bad. If Plausible covers your needs today, there is no reason to switch.

Can I self-host any of these tools?

Plausible, Matomo, Umami, GoatCounter, and DataSaaS all support self-hosting. Fathom, Simple Analytics, Pirsch, and Clicky are cloud only. For self-hosting ease, Umami is the easiest (PostgreSQL only), followed by DataSaaS (PostgreSQL only), Plausible (PostgreSQL plus ClickHouse plus Elixir), and Matomo (PHP plus MySQL, the heaviest stack). Read our self-hosted vs cloud analytics guide for the full trade-off analysis.

What about Mixpanel, Amplitude, and Heap?

Those are product analytics tools, not web analytics tools. They are designed to track user behavior inside your application (feature usage, retention, funnel completion) rather than visitor sources and pages. PostHog is the closest tool on this list to that category. If you need product analytics, evaluate those separately from your web analytics solution. Many teams run one of each. Our Mixpanel comparison has more detail.

Does DataSaaS work with ad blockers?

Yes. Because DataSaaS serves its script from your own domain as a first-party asset, the default filter lists in uBlock Origin, AdBlock, and similar tools do not block it. Third-party scripts like gtag.js are blocked 25 to 40 percent of the time on developer-heavy sites. First-party scripts survive that block, which means your traffic counts reflect actual visitors, not a privacy-aware subset.

Next steps

There are two honest rules for choosing a GA4 alternative. First: if you sell software or subscriptions, revenue attribution is not a nice-to-have, it is the point. Every minute you spend looking at sessions without knowing which sessions paid you is a minute you could have spent making the business better. Second: every tool on this list is a step up from GA4 on privacy and simplicity. You will not go wrong with any of them. You will go wrong if you keep procrastinating.

Pick one. Install the script in 30 minutes. Live with it for a month. The switch is almost always easier than the decision was.

If you want the revenue side handled automatically, DataSaaS is the only tool in the category with native Stripe, LemonSqueezy, Polar, and Paddle integrations. Starter is $7.99/mo, Growth is $14.99/mo, and you can have Revenue Per Visitor on real traffic within an hour.

Related reading:

• Revenue Per Visitor: A Complete Guide for 2026: the metric this entire category is missing.
• Revenue Attribution Analytics: how DataSaaS connects traffic to Stripe, LemonSqueezy, Polar, and Paddle revenue.
• GDPR-Compliant Analytics: the legal landscape for GA4 and the cookieless alternatives.
• Self-Hosted vs Cloud Analytics: the full cost and trade-off analysis.
• DataSaaS vs Google Analytics, vs Plausible, vs Matomo, vs Fathom, and vs Mixpanel: head-to-head feature comparisons.