Stripe has no official Looker Studio connector. Yet for many D2C brands — particularly those selling subscriptions, digital products, or invoicing B2B alongside their store — Stripe holds the most reliable revenue data they have: the numbers that actually reconcile with the bank account.

This guide covers the three routes into Looker Studio, which metrics matter depending on your model, and how to fit Stripe alongside your other sources without creating a contradictory report.

The three available methods

1. Third-party connectors

Several services (Supermetrics, Windsor.ai, Coefficient, Dataslayer and similar) offer a Stripe connector that authenticates via the Stripe API and exposes data as a Looker Studio source with automatic refresh.

Advantages: fast setup, no technical skills required. Limits: a monthly subscription, and more importantly variable granularity — some connectors only cover charges (payments) without properly exposing subscriptions, refunds, or disputes. Verify this before paying if you run a subscription model, because it’s the difference between a useful dashboard and a payments log.

2. Manual export through Google Sheets

Stripe lets you export any report as CSV from the Dashboard. Drop the file into Google Sheets and Looker Studio reads the Sheet.

Advantages: free, immediate. Limits: the usual fragility of manual exports (missed weeks, changed columns) and no automatic history. Fine for monthly reporting, not for a dashboard checked weekly.

3. Stripe API into BigQuery

A pipeline (custom script, or a managed ELT tool like Airbyte or Fivetran) calls the Stripe API, lands raw data in BigQuery, and Looker Studio connects there.

Advantages: complete access to every Stripe object (charges, refunds, subscriptions, disputes, customers), unlimited history, and — the real reason — the ability to join in SQL with your Shopify orders and GA4 data.

Limits: API and SQL skills required, or a dependency on a managed ELT tool.

This is the architecture we favor as soon as Stripe isn’t the only source to reconcile, following the logic described in our Looker Studio dashboard guide.

Which Stripe metrics matter

The relevant indicators differ significantly depending on your model.

For one-off payments (standard e-commerce): transaction volume, average amount, payment success rate (card failures often account for 5-10% of attempts and represent directly lost revenue), refund rate, and Stripe fees.

For subscriptions: MRR (monthly recurring revenue), churn rate, new subscribers vs cancellations, customer lifetime value, and failed renewals — the “involuntary churn” caused by expired cards, which is consistently underestimated and often recoverable with a dunning process.

In every case: disputes (chargebacks). A rising dispute rate is both a financial and an operational warning signal — beyond a certain threshold, Stripe can restrict the account entirely.

Trap number one: gross vs net revenue

This is the main source of confusion when adding Stripe to an existing dashboard. Three different numbers coexist:

  • The amount charged to the customer
  • The amount after refunds
  • The amount after Stripe fees (what actually lands in your bank account)

A dashboard showing one figure while another report shows a different one produces unexplainable gaps in meetings. Pick a single convention and label the source and calculation method on every scorecard.

It’s the same logic as the gaps between GA4 and Shopify covered in our diagnostic checklist: the goal is never to make every number match, but to be able to explain each gap.

Crossing Stripe with your ad data

This is where Stripe earns its place in the dashboard: it’s the revenue source closest to accounting reality. Combined with ad spend (Meta, Google), it lets you calculate a real ROAS based on net revenue collected rather than platform-claimed revenue.

Concretely, in a multi-source dashboard: spend from the ad platforms, net revenue from Stripe, channel attribution from GA4 — each source in its proper role. That division of labor is the point, not the reconciliation.

FAQ

Does Stripe have an official Looker Studio connector? No. Stripe doesn’t offer a native Looker Studio connector. You need a third-party connector, a manual export through Google Sheets, or the Stripe API into BigQuery — the last being the most robust for recurring use.

Do I need Stripe in my dashboard if I already have Shopify? Not necessarily. If all payments run through Shopify Payments, your Shopify order data covers it. Stripe becomes useful when you sell outside Shopify — subscriptions, B2B invoicing, digital products — or when you need transaction-level detail on refunds and disputes.

How should refunds be handled in a Stripe dashboard? Stripe exposes refunds as objects separate from charges. Decide on a convention (gross or net revenue) and apply it consistently across the dashboard — this is one of the main sources of discrepancy between Stripe reporting and Shopify or GA4 reporting.

Want a dashboard that centralizes Stripe, Shopify, and your ad spend without unexplained gaps? Check out our Shopify Dashboards offer or book a free 30-minute call.