Best Google Analytics Alternatives With Revenue Tracking in 2026

Website traffic is useful, but what most founders want to know is which sources bring paying customers. Pageviews can't answer that, and neither can conversion counts: a channel with fewer sign-ups can bring more revenue. You need the payment, and a link from the payment back to the visit.

The tools that do this fall into four groups:

• Payment-connected website analytics (SuprAnalytics, DataFast): connect your payment provider and payments are tied to visitors and sources. Best for founders and small SaaS teams.
• Broad analytics with ecommerce events (Google Analytics 4, Matomo): detailed purchase and product reports, once your code sends each purchase. Best for stores and teams with implementation time.
• Product analytics (PostHog, Mixpanel): revenue as event data, with subscription metrics from warehouse data. Best for product teams with engineers.
• Privacy-first traffic analytics (Plausible, Fathom): a value on a conversion event and simple totals. Best when privacy and simplicity matter more than attribution across visits.

None of them is best at everything. The rest of this guide shows what each one does with revenue, so you can match it to the question you're asking. For a one-to-one look at GA4, see SuprAnalytics vs Google Analytics.

Four different capabilities hide behind the phrase, and tools are strong at different ones. When a product page says “revenue tracking”, check which it means.

1. 1

   Revenue events

   Recording that a purchase happened, with its value: a goal value, an event property, or an ecommerce purchase event. Every tool in this guide can do this.

2. 2

   Ecommerce analytics

   Purchases with their products, carts and checkout steps: what sold, at what price, and where buyers dropped out. GA4 and Matomo are built for it.

3. 3

   Subscription analytics

   Recurring revenue over time: MRR, ARR, churn, renewals and customer lifetime value. These need every renewal and cancellation, which usually means data from the payment provider.

4. 4

   Revenue attribution

   Crediting each payment to the source, campaign or page that brought the customer, by a stated rule. This needs both the payment and a link to the visitor who made it.

A quick example shows why attribution is the hardest of the four. A visitor finds you through a newsletter, leaves, comes back a few days later by typing your address, and buys a $49 product. Revenue events record $49. Attribution has to decide who gets it: the newsletter, which found the customer, or Direct, the visit they paid in. Tools answer differently, and some can't connect the two visits at all.

Each review answers the same questions: how revenue gets in, how payments are linked to visitors, how attribution works, and what it costs to start. The order follows the four groups above; it isn't a ranking.

How we chose: we started from ten tools (the eight below, Simple Analytics and Rybbit) and kept those with a documented way to report revenue. Criteria we looked at: depth of revenue tracking, source attribution, payment integrations, setup effort, reporting, and how clearly pricing is published.

Tools we looked at and left out

Simple Analytics is privacy-first and doesn't link visits, by design; you can attach a price to an event as metadata, but it has no revenue report or payment integration. Rybbit is open-source web and product analytics whose own ecommerce page says there's no dedicated revenue report yet; order values live in custom events. Both are good traffic tools, covered in SuprAnalytics vs Simple Analytics and SuprAnalytics vs Rybbit; neither is a revenue-tracking tool today.

Start from the question you want answered, not from the feature list.

An indie SaaS founder who wants to know which channels bring paying customers

A payment-connected tool: SuprAnalytics or DataFast. Connecting your provider is less work than building purchase events, and renewals arrive without extra code. Choose SuprAnalytics for Paddle or Dodo Payments webhooks, first- or last-touch reports and live chat; choose DataFast for MRR and churn metrics or Shopify.

An ecommerce store that needs product and checkout analysis

GA4 for free, deep ecommerce reports and Google Ads; Matomo if you want to own the data or self-host. Both need ecommerce events from your store or a platform plugin.

A product team analysing behaviour inside the app

PostHog or Mixpanel. Revenue becomes one more property in funnels, retention and cohorts; PostHog adds subscription metrics from Stripe, and Mixpanel has the widest choice of attribution models.

A privacy-focused site owner

Plausible or Fathom, if a sales total and same-visit attribution are enough. If you need payments credited to an earlier visit, a cookieless tool will lose some of that by design.

A technical team building its own analytics stack

Matomo self-hosted, PostHog, or Mixpanel with a data warehouse: the most control, and the most work.

A founder who wants simple reports

A focused tool over a platform: Plausible or Fathom for traffic and totals, SuprAnalytics or DataFast for revenue by source. See SuprAnalytics pricing.

A made-up customer, to show how the same payment can be credited differently.

• First touch: Reddit gets the $49. It answers “what finds new customers?” SuprAnalytics and Mixpanel offer it, Matomo through Multi Attribution; GA4 no longer has a first-click model.
• Last touch: Direct gets the $49, because the customer paid during a direct visit. It's SuprAnalytics' default, and Plausible works this way per visit.
• Last non-direct: Reddit gets it, because direct visits are skipped. GA4's paid and organic last click does this, and Matomo has a last non-direct model; SuprAnalytics doesn't.
• Multi-touch: data-driven, linear or position-based models split the credit between Reddit and Direct, where a tool offers them.

All of this assumes the tool knows the two visits are the same person. If the customer had paid on their phone, cookie-based tools would see a new visitor, unless an identity (a login, or an email matched at payment) joins them. Cookieless tools recognise a visitor for a day at most, so the Reddit visit a week earlier would be lost either way.

And if the payment can't be linked to any visitor (no visitor id at checkout, an email the tool has never seen), it can't be attributed. In SuprAnalytics it still counts in total revenue, without a source; check how any tool you consider reports these, because a large unattributed share changes how much to trust the channel numbers.

Payment integration

Does the tool connect to your payment provider, or will your code send each purchase? A connection usually brings renewals and refunds with it; events you send are only as complete as your code.

Marketing attribution

Which models are offered, which is the default, and how direct visits are treated. Ad spend, ROAS and CAC aren't in most of these tools: SuprAnalytics doesn't track them, and DataFast's ROAS is for Meta Ads.

Subscription reporting

If MRR, churn and renewals matter, check whether they're calculated for you, from which providers, and on which plan.

Conversion tracking

Goals and funnels for the steps before payment, such as sign-ups and trials, and whether a funnel can end in a payment.

Privacy

Cookies or none, consent mode, IP handling, where data is stored. Cookieless tracking trades away recognition across days.

Data retention

How long reports keep event-level data; GA4's standard explorations keep it for 2 or 14 months, other tools by plan.

Setup effort

Script only, script plus provider connection, or a full event plan maintained by engineers.

Pricing as you grow

Pageviews, events or hits are counted differently, and features such as revenue goals or attribution can sit on higher tiers.

Migration

Whether past data can be imported (often aggregated, often without revenue), and whether you can run both tools side by side for a while.

Every tool here can show a revenue number; they differ in where the number comes from and what it's tied to. If you run a store, GA4 or Matomo give you product-level ecommerce reports, for the cost of implementing the events. If you need product analytics, PostHog and Mixpanel treat revenue as one more property, with subscription metrics from warehouse data. If privacy and simplicity come first, Plausible and Fathom total your sales. And if your question is which channels bring paying customers, payment-connected tools like SuprAnalytics and DataFast answer it with the least setup.

Whichever you choose, check the attribution default, how unmatched payments are reported, and what the tool does when a customer comes back directly to pay.