Analytics tools that show Stripe revenue next to your traffic

Your payment provider knows exactly how much money arrived. Your analytics knows exactly where the traffic came from. Almost nothing joins the two, which is why so many people run this analysis by hand in a spreadsheet once a month.

Here are the six ways to actually connect them, what each costs, and the one question that separates the approaches: does the revenue number come from the payment provider, or from the visitor’s browser?

The distinction that decides everything

API read. The analytics tool holds a read-only key and asks Stripe what happened. Stripe is a system of record: it knows what arrived, net of refunds, and it is never blocked because the money already moved.

Purchase event. Your site fires an event containing a value when a checkout completes. That number is only as reliable as the browser sending it — lost when the tracker is blocked (which every analytics tool is, for a meaningful share of visitors), lost when the checkout finishes on Stripe’s own domain, lost when the tab closes early.

The difference shows up as a discrepancy between your analytics revenue and your bank account. Once you have seen a 15% gap, you stop trusting the browser-reported version.

Approach	Source of truth	Survives ad blockers	Setup
Native API integration	Payment provider	Yes	A read-only key
Self-built webhook pipeline	Payment provider	Yes	Engineering project
Purchase events	The browser	No	Code at checkout
Manual spreadsheet	Both, joined by you	Yes	Your Monday morning

The options

1. sonex — native Stripe and Polar, on every plan

Ours. Connect Stripe with a restricted key that has read access to Charges and Balance, or Polar with an organization token, per website. Revenue is aggregated from succeeded charges net of refunds and plotted as a series on the same chart as visitors and views.

• Available on: every plan, including the free one.
• Privacy cost: none. The number never comes from a browser, so no cookie is set, no visitor is identified, and no consent banner is triggered.
• Limit, stated honestly: this is revenue over time beside traffic over time. Crediting one specific sale to one specific channel six weeks later is a different problem — see the last section.

2. PostHog — native Stripe with revenue recognition

PostHog has a Stripe data source that syncs charges, customers, invoices, products and subscriptions into its warehouse, with automatic deferred-revenue recognition. The first million warehouse rows a month are free.

• Best for: teams that need MRR recognised properly inside their analytics, and are already using PostHog for product analytics.
• Cost: a 68 kB script, which is a lot for a marketing site.

3. Datafast — native Stripe, LemonSqueezy, Polar and Shopify

The broadest provider support of anything here, plus a custom payment API. Built specifically around revenue attribution for founders.

• Best for: sellers on Shopify or LemonSqueezy, where nothing else on this list connects natively.
• Watch for: their default script uses cookies, and their own documentation notes the cookieless alternative is less accurate for revenue attribution over weeks or months because identifiers rotate about every 24 hours.

4. Mixpanel — a pipeline you build

Mixpanel’s own documentation describes connecting Stripe by routing webhooks through a cloud function you write and deploy, or using a third-party connector.

• Best for: teams that need to transform revenue data before analysis and have somewhere to put that logic.
• Cost: an engineering project with an owner, plus ongoing maintenance.

5. Purchase events — GA4, Plausible, Fathom, Pirsch, Simple Analytics

The common approach. Send an event with a value and a currency when the order completes. GA4’s documentation is explicit that these are not automatic and require context to be meaningful; Plausible gates revenue tracking to its Business tier; Fathom supports multi-currency custom events; Pirsch uses conversion goals with metadata.

• Best for: sites already committed to one of these tools, where an approximate revenue figure is enough.
• Cost: the accuracy gap described above, permanently and invisibly.

6. The spreadsheet

Export traffic by source from analytics, export charges from Stripe, join them by date, and look.

Genuinely underrated for a one-off question. It is free, it uses two systems of record, and it takes twenty minutes. If you need the answer once a quarter rather than continuously, do this instead of buying anything.

Aggregate versus per-channel: the honest limit

Everything above gives you revenue over time. Getting revenue per channel is a strictly harder problem, and the difficulty is not a product gap — it is the gap between arrival and payment.

If someone reads a comparison article on Tuesday, thinks about it, and buys on the following Monday from a bookmark, crediting the article requires recognising that person across six days. Recognition across days is exactly what cookies do and exactly what cookieless tools deliberately do not do.

So the options are real and each has a cost:

• Same-visit conversions: attribution works cleanly, cookieless, no trade. Most impulse and direct-response purchases are here.
• Multi-day journeys with a cookie: full per-visitor attribution, and a consent banner in the EU and UK.
• Multi-day journeys without a cookie: the aggregate view plus a conversion event on the visit that converts, which credits the last touch and no earlier ones.

sonex takes the third path by default and offers an Attribution report with selectable models over a conversion event you fire. What we will not do is pretend the first and second are the same thing.

Where to start

If you have never had revenue in your analytics, the aggregate view answers more than you expect and costs nothing in privacy: connect the provider, look at the two lines, and notice how often the traffic spike and the revenue spike are not the same week.

Per-channel credit is worth adding after that, once you know which question you actually want to ask — and once you have decided how much of your visitors’ privacy that answer is worth. It is a real trade, and the honest position is to name it rather than to sell around it.

Integration details taken from each vendor’s own documentation on 2026-08-17.