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How to Connect Stripe to Your Analytics (And Actually See Which Channels Pay Off)

Stripe tells you how much money you made. Your analytics tool tells you where visitors came from. Here's how to connect the two — and what you can do with the combined data.

EngageTrack Team··7 min read

Stripe's dashboard is excellent at answering one question: what happened to money.

You can see MRR, new subscriptions, churn, failed payments, refunds, and lifetime value. The Stripe Sigma SQL interface lets you query your payment data in almost any shape you want.

What Stripe cannot tell you: where those customers came from.

It knows someone paid you €49 on Tuesday. It has no idea whether they found you through a Google search, a tweet, a Hacker News comment, or a referral from an existing customer. That information lives in your web analytics tool — and by default, the two systems never communicate.

This post explains how to bridge the gap, what the integration actually looks like, and what becomes possible once you have revenue data attached to your traffic sources.

Why Stripe's Built-In Analytics Falls Short

Stripe provides decent customer analytics within its own ecosystem: lifetime value by product, MRR growth, subscription metrics, failed payment recovery rates. If your questions are purely about the money side, Stripe has good answers.

The problem is that marketing decisions aren't purely about money. They're about the relationship between your marketing activity and money — which channels, which content, which campaigns produced which revenue.

Stripe doesn't track sessions, referrers, UTM parameters, or visitor behavior before checkout. It sees the checkout event in isolation. Everything that happened before the user clicked "Pay" is invisible.

What Connecting Stripe to Analytics Looks Like

The integration works through Stripe webhooks. When a payment event occurs (successful charge, subscription created, refund issued), Stripe sends an HTTP POST to a webhook endpoint with the full event details.

An analytics tool that's set up to receive these webhooks can then:

  1. Read the payment amount, currency, and any custom metadata
  2. Match the payment to a visitor session using a visitor ID in the metadata, customer email, or session timing
  3. Add the revenue to the originating session's traffic source

The result is a revenue column in your analytics dashboard, attributed to the channel that started the visitor's journey.

Setting Up the Integration in EngageTrack

Step 1: Connect Stripe via OAuth

In EngageTrack's dashboard, go to Settings → Integrations → Stripe and click Connect. This initiates an OAuth flow where you authorise EngageTrack to receive webhook events from your Stripe account.

EngageTrack requests read-only access to payment events — it can see payment data for attribution purposes but cannot initiate charges, modify subscriptions, or access card details.

The connection takes about 30 seconds.

Step 2: Choose Which Events to Track

EngageTrack listens for the following Stripe events by default:

  • payment_intent.succeeded — one-time payments
  • checkout.session.completed — Stripe Checkout completions
  • customer.subscription.created — new subscription starts
  • charge.refunded — refunds (subtracted from revenue totals)

You can disable any of these if they're not relevant to your product.

Step 3: Pass the Visitor ID for Maximum Accuracy

The webhook integration works out of the box with session-based attribution. But for products with longer sales cycles — where someone might visit your site, start a trial, and convert a week or two later — session-based attribution can miss the original traffic source.

The solution is to pass EngageTrack's visitor ID into your Stripe payment metadata at checkout time. When EngageTrack receives the webhook, it reads the visitor ID and links the payment directly to the originating session, regardless of how much time has passed.

Client-side: get the visitor ID before checkout

// When the user clicks your "Start Trial" or "Buy Now" button
const visitorId = engagetrack.getVisitorId();
 
// Send it to your backend along with any checkout initiation params
const response = await fetch("/api/create-checkout-session", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    priceId: "price_xxx",
    engagetrackVisitorId: visitorId,
  }),
});

Server-side: include it in the Stripe session

// Node.js / Next.js API route
const session = await stripe.checkout.sessions.create({
  mode: "subscription",
  line_items: [{ price: priceId, quantity: 1 }],
  success_url: "https://yourapp.com/welcome",
  cancel_url: "https://yourapp.com/pricing",
  metadata: {
    engagetrack_visitor_id: engagetrackVisitorId,  // EngageTrack reads this from the webhook
  },
});

That's it. EngageTrack reads the engagetrack_visitor_id field from the Stripe webhook metadata and creates a direct link between the payment and the session.

What If I Use PaymentIntents Instead of Checkout?

Same approach, different Stripe object:

const paymentIntent = await stripe.paymentIntents.create({
  amount: 4900,
  currency: "eur",
  metadata: {
    engagetrack_visitor_id: visitorId,
  },
});

And for subscriptions created directly (not through Checkout):

const subscription = await stripe.subscriptions.create({
  customer: customerId,
  items: [{ price: priceId }],
  metadata: {
    engagetrack_visitor_id: visitorId,
  },
});

What Attribution Looks Like in Practice

Once the integration is live, your EngageTrack Traffic Sources dashboard gains revenue columns:

SourceSessionsConversionsRevenueRev / Session
Organic Search3,84028€1,680€0.44
Direct1,42024€1,920€1.35
Hacker News29012€840€2.90
Twitter/X1,8807€350€0.19
Product Hunt64018€1,260€1.97

The columns that matter most:

Revenue — total revenue attributed to each source in the selected period.

Conversions — number of payments (or subscription starts) attributed to each source.

Rev / Session (Revenue per Session) — average revenue generated per visitor from each source. This is the efficiency metric. A channel with high sessions and low Rev/Session is sending unqualified traffic. A channel with low sessions and high Rev/Session is your best channel — even if the absolute traffic numbers are small.

Handling Edge Cases

Trial-to-paid conversions

If you offer a free trial, the checkout.session.completed event fires at trial start (for payment method capture) and customer.subscription.updated fires when the trial converts to paid. EngageTrack captures both events.

For attribution purposes, the revenue is assigned at actual payment time — not at trial start. You can see trial starts separately as conversion events.

Multi-product / multiple price points

EngageTrack records the full payment amount from Stripe, so different price tiers show up accurately. If a visitor from Hacker News signs up for the €20/mo plan and a visitor from Twitter signs up for the €5/mo plan, the revenue columns reflect the actual amounts.

Refunds

Stripe refund events are automatically captured and subtracted from the attributed source's revenue total. A channel that looks profitable before refunds might look different after — and you want to know that.

Customers who pay from a different device

If someone visits your site on mobile and converts on desktop, session-based attribution will miss the link. The visitor ID approach handles this correctly if the user is authenticated in your app (same user account = same visitor ID lookup). For anonymous visitors across devices, attribution falls back to first-touch or last-touch depending on your settings.

Beyond Attribution: What Else You Can Do

Once revenue is flowing into your analytics, a few workflows become practical:

Set up goals for trial starts. Track the trial signup as a conversion event even before it generates revenue. Then compare trial start rate vs payment rate by source — channels with high trial rates but low payment rates may be attracting price-sensitive or non-fit visitors.

Filter your entire dashboard by channel. Want to see the full behavior of your Hacker News visitors — which pages they read, how long they stay, what their bounce rate is, which features they use? Apply a channel filter and your entire dashboard scopes to that segment.

Identify your highest-LTV acquisition channels. If you have 12 months of data, you can compare not just initial revenue but retention by source. A channel that sends customers who stay for 18 months is worth more than one sending customers who churn after 2 months, even at the same initial conversion rate.


EngageTrack connects to Stripe, LemonSqueezy, Paddle, and Polar out of the box — giving you revenue attribution alongside your standard analytics. Start your free 14-day trial — the Stripe connection takes about 30 seconds.

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