Stripe Revenue in Looker Studio by Channel

A Looker Studio dashboard can show you which acquisition channel actually pays your MRR — but only if you feed it channel-level revenue attribution rather than GA4, which shows traffic, sessions, and goals but never which channel drove $12,400 in Stripe revenue last month, because that number requires connecting attribution data directly to Stripe, not to a goal completion event.

The average SaaS marketing team spends 4.2 hours per week pulling revenue data out of Stripe and manually merging it with GA4 traffic reports — and still ends up with a dashboard that shows sessions next to revenue figures from two different systems with no shared key.

Google Looker Studio can display real Stripe revenue per marketing channel, but only if your attribution layer — not GA4 — is the data source, because GA4 cannot see Stripe payments. This guide shows you exactly how to export TrackRev attribution data, connect it to Looker Studio, and build the five charts that turn a traffic dashboard into a revenue dashboard.

Why This Matters for Your Revenue

Most SaaS marketing dashboards are built to answer the wrong question.

They show traffic by channel, conversion rate by landing page, and cost per click by campaign — all useful, but none of them answers "which channel drove the most Stripe revenue this month?" That question requires a direct link between a marketing click and a Stripe charge, which GA4's event model cannot provide because GA4 stops tracking when the visitor leaves your site to pay.

From approximation to arithmetic

A Looker Studio dashboard built on attribution data closes that gap. Instead of approximating revenue by multiplying GA4 goals by an assumed LTV, you report actual Stripe revenue per channel — down to the individual tracking link.

Budget decisions stop being approximations and start being arithmetic. Read how channel-level revenue benchmarks compare in SaaS attribution benchmarks 2026.

The gap that GA4 + Looker Studio cannot close

GA4 tracks browser sessions. Stripe charges happen on Stripe's servers. Between those two systems sits a gap that no dashboard configuration can bridge.

Where the session-to-payment chain breaks

The moment the visitor leaves your site to complete payment, GA4's session ends and Stripe's transaction begins.

No amount of GA4 configuration bridges that gap — you can create a conversion event on the thank-you page, but that fires in the browser, which means it is subject to ad blockers, cookie consent, and tab-close events.

Stripe itself is not involved.

Same charts, different data sources

Looker Studio is a visualisation layer, not a data layer. It will display whatever you connect to it faithfully. If you connect GA4, you get traffic.

If you connect an attribution system that has already matched marketing clicks to Stripe payments, you get revenue. The charts look identical; the numbers mean something completely different.

See the guide to tracking channel revenue without GA4 for the architectural detail.

Exporting TrackRev attribution data for Looker Studio

TrackRev exports attribution data in two formats that Looker Studio can consume directly: a live Google Sheets sync and a CSV export.

The Google Sheets connector is the better long-term choice — your Looker Studio report refreshes automatically without a weekly CSV upload.

Option 1 — Google Sheets live sync

In your TrackRev analytics dashboard, go to Exports → Google Sheets and authorise the connection. TrackRev writes a new row for every attributed payment: timestamp, channel, source, campaign, tracking link slug, Stripe customer ID, charge amount, and subscription status.

In Looker Studio, add the Google Sheets connector, select your TrackRev export sheet, and your data is live. The sheet updates every hour; Looker Studio reads it on each dashboard refresh.

Option 2 — CSV export

For teams that prefer a manual cadence, export a date-range CSV from the Attribution tab and upload it to Looker Studio's File Upload connector.

This works well for monthly review decks where a snapshot is more useful than a live feed. The CSV column schema is identical to the Sheets export, so switching between the two later requires no dashboard rebuild.

Connecting to Looker Studio

Create a new Looker Studio report, click Add Data, and select the Google Sheets connector (or File Upload for CSV).

Google's own Looker Studio help on creating a Google Sheets data source walks through the exact steps, including the requirement that your data sit in a tabular format with a single header row. Select your TrackRev export.

Looker Studio will auto-detect the column types — verify that charge_amount is recognised as a currency metric and timestamp as a date dimension.

Once that is confirmed, every chart you build can use charge_amount as a metric and any of the channel, source, campaign, or link fields as dimensions.

The Ahrefs blog (ahrefs.com/blog) has additional guidance on connecting non-standard data sources to Looker Studio for SEO revenue reporting.

The 5 charts every SaaS marketing team should build

Once your attribution data is in Looker Studio, these five charts answer the questions your GA4 dashboard cannot.

Chart 1 — Revenue by channel (bar chart)

Dimension: channel. Metric: SUM(charge_amount). Date range: last 30 days. This is your primary budget-allocation chart. Sort descending by revenue. Any channel above your CAC payback threshold deserves more investment; any channel below it gets scrutinised or cut.

Chart 2 — Revenue per click by campaign (table)

Dimension: campaign. Metrics: SUM(charge_amount), COUNT(click_id), charge_amount / click_id (calculated field). This reveals which campaigns are most efficient — useful when two campaigns have similar revenue but very different click volumes.

A campaign with high revenue per click is worth scaling even if its total revenue looks modest.

Chart 3 — Trial-to-paid conversion by channel (combo chart)

Requires the subscription_status field. Bar: total attributed trials per channel. Line: trial-to-paid rate. A channel that drives many trials but few paid conversions may indicate audience mismatch rather than weak messaging — and it changes how you optimise.

Chart 4 — Monthly recurring revenue by acquisition channel (time series)

Dimension: acquisition_channel (the channel from the original click). Metric: SUM(invoice_amount) filtered to invoice_type = recurring. Date: month. This shows which channels produce durable revenue versus one-time spikes. Read more about lifetime value by marketing source.

Chart 5 — Top tracking links by revenue (ranked table)

Dimension: link_slug. Metrics: SUM(charge_amount), COUNT(charge_id). Sort by revenue descending. This is your content and campaign audit chart — every high-revenue link is a placement worth repeating; every zero-revenue link is an experiment that failed.

The link tracking page shows how TrackRev generates these slugs.

Recommended chart types by metric

Attribution data fields available for Looker Studio

Build your revenue dashboard with TrackRev

Connect TrackRev analytics to Looker Studio in under 20 minutes: authorise the Google Sheets sync in TrackRev, add the sheet as a data source in Looker Studio, and build the five charts above using the field schema in the table.

Every Stripe payment TrackRev attributes will appear in your dashboard within the hour — no developer required, no manual data merging, no guessing which channel drove which revenue.

A Looker Studio dashboard is only as trustworthy as its inputs — and merging two attribution sources that disagree about conversions is how stakeholder meetings turn into reconciliation meetings.

Most SaaS teams run Bitly Growth ($35/mo) for link tracking and Rewardful Starter ($49/mo) for affiliates — $84/mo for two tools with two different definitions of a conversion.

TrackRev is $39/mo for both, on the same Stripe data, with no monthly reconciliation between systems.

Looker Studio then pulls one feed where channel revenue and affiliate revenue add up correctly to the Stripe total, instead of two feeds with mismatched counts.

If you want a dashboard the CEO trusts on first glance, feed it from a single attribution source.

When NOT to use TrackRev for this

If your revenue reporting needs are primarily B2B enterprise where deals are closed in a CRM and invoiced manually, click-based attribution data will not reflect how those deals were sourced.

TrackRev works best where the path from marketing click to Stripe payment is relatively direct — PLG, self-serve, and SMB SaaS.

For sales-assisted pipelines where the first touch happened six months ago and many people were involved, a CRM-attribution layer (HubSpot, Salesforce) is a better data source for Looker Studio revenue charts.