The best revenue attribution tools in 2026
By Devendra Variya, co-founder of Virling. Published 2026-11-01.
TL;DR: A revenue attribution tool joins each payment to the visits before it, so you see which channel brings paying customers, not just traffic. If you want payments read straight from Stripe, Paddle or Shopify with no event code, pick a tool that syncs your payment provider. If you only need traffic numbers, plain web analytics is enough.
For all three kinds of revenue analytics, including MRR and churn tools, see the best revenue analytics tools.
Revenue attribution is not revenue intelligence
Three kinds of tools get called revenue analytics. They answer different questions:
- Revenue intelligence tools such as Gong and Clari analyse sales calls and deals for sales teams.
- Subscription metrics tools such as Baremetrics and ChartMogul report MRR, churn and lifetime value from your billing data. They do not say which website channel a customer came from.
- Revenue attribution tools join payments to website visits, so you can see revenue and revenue per visitor for each channel, campaign and page.
This comparison covers the third kind, plus the web analytics tools people most often try to use for it.
How we compared them
Each tool is compared on whether it reads payments from your provider directly, whether you can run it on your own server, and what it costs. Every fact comes from the tool's own site or docs, checked on 30 and 31 October 2026. Prices change, so check the vendor before you buy.
| Tool | Reads payments directly | Self-host | Price |
|---|---|---|---|
| Virling | Stripe, Paddle, Shopify, WooCommerce, Dodo Payments, Polar, LemonSqueezy, Creem and RevenueCat | Yes, free, AGPLv3 | Hosted from $19 a month after a 14-day free trial |
| DataFast | Stripe, LemonSqueezy, Polar and Shopify, plus a payments API | No | From $9 a month for 10k events, after a 14-day free trial |
| DataBull | Stripe, Polar, Dodo Payments and Creem | On your Cloudflare account, $49 one-time when we checked | Hosted beta $9 or $19 a month |
| Google Analytics 4 | No. You send purchase events yourself | No | Free |
| Plausible | No. Revenue comes from goals you send with a value | Yes, Community Edition, without ecommerce revenue | Cloud from $9 a month for 10k pageviews |
| PostHog | Stripe, through its data warehouse; its docs call revenue analytics beta | Yes, plan for about 4 GB of memory | Product analytics free for the first 1M events a month |
| Umami | No. A revenue report fed by events you send | Yes, MIT | Cloud free up to 100k events a month; Pro $20 a month |
The tools, one by one
Virling
Open-source revenue attribution for SaaS teams, online stores and agencies. It reads payments from nine providers with a read-only key, joins each one to the visit before it, and shows revenue per visitor for every channel, referrer, campaign, page and country, including AI assistants. Renewals keep the channel of the first payment. It runs as one Rust binary on your server, or hosted. It has a read-only MCP server so Claude and other assistants can answer revenue questions. Agency accounts include a team of 3, with more members at $9 a month each.
DataFast
A hosted revenue analytics service with Stripe, LemonSqueezy, Polar and Shopify connections and a payments API. Suits founders who want a hosted dashboard and no server. Limitation: it cannot be self-hosted. Virling vs DataFast.
DataBull
Runs on your own Cloudflare account on Workers and D1, with Stripe, Polar, Dodo Payments and Creem. Suits teams already on Cloudflare. Limitation: four payment providers and no public source repository we could find. Virling vs DataBull.
Google Analytics 4
Free and already installed on most sites. Suits marketing teams that run Google Ads. Limitation: it has no payment sync, so revenue is only as good as the purchase events you send, and subscription renewals after the lookback window tend to show as direct or unassigned. Virling vs Google Analytics.
Plausible
Simple, privacy-friendly traffic analytics, open source under AGPLv3. Suits teams that want clean visitor stats. Limitation: no payment provider sync, and ecommerce revenue is a cloud feature, not in the self-hosted Community Edition. Virling vs Plausible.
PostHog
A product analytics platform with session replay, feature flags and more. Suits product teams that want everything in one place. Limitation: revenue analytics reads Stripe through its data warehouse and is labelled beta, and self-hosting needs a bigger server. Virling vs PostHog.
Umami
Lightweight open-source web analytics under the MIT license. Suits developers who want simple stats they can host. Limitation: revenue only comes from events you send, not from your payment provider. Virling vs Umami.
Which one to pick
- SaaS on Stripe, Paddle or Polar that wants revenue per channel without writing event code: a tool that syncs your provider, such as Virling or DataFast.
- Shopify or WooCommerce store: a tool that reads orders directly, so refunds and renewals are counted. See Shopify and WooCommerce.
- Agency with client sites: flat pricing for many sites and client reports. See Virling for agencies.
- Marketing team already deep in Google Ads: GA4, with purchase events sent from your server.
- Product team: PostHog. Only traffic stats: Plausible or Umami.
Check any tool's numbers yourself
Whatever you pick, compare its revenue with your payment provider for the same month, and its channel split with a few customers you can ask. The method is in how to find which marketing channel pays, and the revenue per visitor calculator does the sums.
Frequently asked questions
What is a revenue attribution tool?
A tool that joins each payment to the website visits before it, so you can see revenue and revenue per visitor by channel, campaign and page, not just traffic.
Can Google Analytics show revenue by channel?
Yes, if you send purchase events with a value and currency. It does not read Stripe, Paddle or Shopify directly, so events that never fire, refunds and renewals make its revenue differ from your payment provider.
Is there an open-source revenue attribution tool?
Yes. Virling is open source under AGPLv3, reads payments from nine providers with a read-only key, and runs as one binary on your own server.
What is the difference between revenue attribution and subscription metrics tools?
Subscription metrics tools such as Baremetrics and ChartMogul report MRR and churn from billing data. Revenue attribution tools tie each payment to the website channel that brought the customer.
See which channel pays on your own data: start a 14-day free trial at app.virling.com, or self-host it free.