Stripe to Power BI, done for you
Skip the DIY integration project. A senior US-based engineer builds the MRR, payment-volume, churn, failed-payment, and payout-reconciliation reports the Stripe Dashboard can't show in one place — then keeps them refreshing. Prepaid hours, no contracts, most builds in 3–5 business days.
Representative dashboard — sample data
Custom Stripe dashboards
If your revenue runs through Stripe but MRR, churn, and payout questions still get answered with CSV exports, a custom Stripe Power BI dashboard turns that raw subscription and payment data into live MRR trends, payment-volume, failed-payment, and payout-reconciliation views. We build and maintain it for you — senior-led, US-based — so founders, finance teams, and RevOps stop re-exporting Stripe data every week.
Stripe's own Dashboard and reporting are strong for operating the account but stop short of decision-grade analysis: MRR built to your definitions, churn cohorts, recovery rates on failed payments, and payouts tied back to your books all take real work. We add a Power BI layer on the same data — connected honestly via Stripe's documented API, scheduled exports, or a data warehouse sync, whichever fits your setup.
Reports we build from Stripe
Buy a block of prepaid Flex hours and, if you're unhappy within the first 4 hours, we refund you in full — no questions asked. Hours are deducted only for work you've reviewed and approved, there's no project minimum, and your banked hours never expire.
Why teams pick us
You send the request; a senior engineer builds and maintains the reporting around your actual products, plans, and revenue definitions.
Most Stripe-to-Power-BI results are connector tools and middleware you wire up yourself. We're the opposite: you send the request, a senior engineer builds and maintains the dashboard around your actual products, plans, and pricing history.
MRR with expansion and contraction, payment volume net of fees and refunds, churn and retention cohorts, failed-payment recovery, payout reconciliation against your bank, and a one-page executive KPI board — beyond what the Stripe Dashboard shows in one view.
There's no current first-party Power BI connector for Stripe. We use Stripe's documented API, scheduled exports, or a data warehouse sync — and we confirm the exact method in your scope estimate before spending a single hour.
One US-based engineer with 20+ years on the Microsoft platform builds it end to end — no offshore handoffs, no junior guesswork on your revenue numbers.
Buy a block of Flex hours, get a scope+hours estimate before any work, and hours deduct only for approved builds. No project minimum, no retainer, full refund inside the first 4 hours if you're unhappy.
It's a reporting solution we build around your Stripe data — not a template. We map your products, plans, subscriptions, charges, refunds, and payouts into live MRR, churn, failed-payment, and reconciliation views built to your revenue definitions, then maintain the model as your pricing changes. You review; we build and keep it running.
The Stripe Dashboard is excellent for operating the account, and Stripe's built-in reports cover the basics. Where teams hit the wall is analysis: trending MRR 12–24 months with expansion and contraction split out, following a churned cohort back to its signup month, measuring how much failed-payment revenue actually gets recovered, or handing the board a single auto-refreshed page. A Power BI layer sits on the same data and makes all of that click-through simple. This page is the Stripe-specific version of our subscription work; for the broader metric set, see Power BI for SaaS metrics, and for the general service, Power BI dashboard development.
We rebuild the reports that are hardest to see in one place: MRR and ARR trend with new, expansion, contraction, and churned revenue split out; gross and net payment volume with fees and refunds; churn and retention cohorts; failed payments with retry and recovery outcomes; payout reconciliation that ties each bank deposit to its underlying charges, refunds, and fees; and a one-page executive KPI board. Each is interactive — filter by product, plan, or period and drill to the customer or transaction.
For finance teams, the payout view is usually the sleeper hit: the deposit that lands in the bank rarely matches any single Stripe report, and month-end reconciliation turns into spreadsheet archaeology. We tie payouts back to transactions so the number in the bank is a drillable list, and if your books live in QuickBooks we build the same reporting there — see our QuickBooks Power BI dashboard page. We scope only the reports you need, so a first engagement stays small and focused rather than a sprawling BI project.
Here is a report-by-report view of where Stripe's built-in reporting stops and where the dashboard we build picks up — the same data, made interactive, cohort-aware, and drillable.
| Report | Stripe built-in limitation | Power BI dashboard version |
|---|---|---|
| MRR & ARR | Billing analytics use Stripe's fixed definitions; custom treatment of trials, discounts, and refunds is limited | MRR to your definitions, with new / expansion / contraction / churned split and 12–24 month trend |
| Payment volume | Gross figures by period; slicing by product, plan, and geography together takes exports | Gross and net volume, fees and refunds, sliceable by any combination |
| Churn & retention | Point-in-time churn figures; cohort views take manual work | Cohort retention grid, logo and revenue churn, drill to the customer |
| Failed payments | Lists of failed charges; recovery-rate trending is manual | Failure reasons, retry outcomes, recovered-revenue trend |
| Payout reconciliation | Payout reports exist but tying deposits to your books is manual | Each bank deposit tied to its charges, refunds, and fees, drillable |
| Executive KPI board | No single auto-refreshed one-page view | Single-page founder/board KPI view, auto-refreshed |
Honestly: there is no current first-party Power BI connector for Stripe. The realistic options are Stripe's documented API, scheduled exports (including Stripe's reporting exports or Data Pipeline), or reading from a data warehouse your Stripe data already syncs to. We confirm the right method for your setup in the scope estimate before any hours are used — no guesswork, no vague promises.
Which method fits depends on what you already have. If your Stripe data lands in a warehouse, Power BI reads from it directly and that's usually the cleanest path. If not, we build a reliable, repeatable pipeline from Stripe's published API or scheduled exports — rather than pretend a live native connection exists. We are not affiliated with Stripe or Microsoft and never imply a partnership; we simply use their supported, documented tools. Getting MRR right also depends on the semantic model underneath — the same modeling discipline we cover on our data modeling & DAX page.
You buy prepaid Flex hours that never expire: Starter 20h at $125/hr ($2,500), Growth 40h at $115/hr ($4,600), or Power 80h at $100/hr ($8,000). A first Stripe dashboard typically fits inside one block. No project minimum, no retainer — refill only when you're ready for more.
Traditional Power BI firms charge $175–250/hr, set project minimums, want $10K+ to start, let unused hours expire, and don't begin for 4–6 weeks. Flex Support flips that: $100–125/hr, no minimums, banked hours that never expire, and a start this week. You buy a block, send your request, and we reply with a scope+hours estimate before any work — hours deduct only for approved builds. If you're weighing budget across the board, our affordable Power BI consulting page covers the pricing model in depth, and you can read how prepaid Flex hours work; this page keeps the focus on your Stripe build.
After you approve the scope estimate, most builds ship in 3–5 business days, senior-led start to finish. We set the dataset to scheduled refresh so numbers update automatically — daily or hourly on Power BI Pro, per Microsoft's refresh limits — meaning your MRR and failed-payment views stay current without anyone re-exporting from Stripe.
Turnaround depends on scope, but a focused first dashboard — say MRR, payment volume, and failed payments — usually lands within 3–5 business days of approval. Once live, refresh cadence is set to match your reporting rhythm. Microsoft's documented data refresh limits (opens in new tab) apply: Power BI Pro supports up to eight scheduled refreshes per day, with more frequent options on higher tiers. We configure the schedule, monitor it, and fix breakages as part of your banked hours — that's the maintain part most integration tools leave to you.
This fits founders, finance teams, and RevOps leads at SaaS and subscription businesses whose revenue runs through Stripe but who have no in-house BI team. If your metric questions go beyond billing data, our SaaS metrics dashboards cover the full ARR picture across systems. If instead the payments are card-present takings from a counter or a van, the shape is different enough to need its own build — our Square Power BI dashboard page covers order and line-item grain, tender mix, and payout-entry reconciliation rather than subscription MRR. Here, we focus on your Stripe build.
The ideal fit is a subscription business whose founder assembles investor updates from Stripe exports by hand, a finance team reconciling payouts in spreadsheets every close, or a RevOps lead who needs churn cohorts and recovery rates the Stripe Dashboard doesn't show. It also suits teams with an existing Power BI report that's broken or slow and needs a senior fix. Contact is form-only — send your request and we'll reply with a scope estimate.
business days, typical
hours, never expire
own everything
A first Stripe dashboard usually fits inside one Flex block, and hours deduct only for work you approve. See Flex pricing →
How it works
Tell us your products, plans, and the reports you need. We map your setup and reply with a scope and hours estimate — including the confirmed connection method and your MRR definitions — before any work begins. Hours deduct only for builds you approve.
A senior US-based engineer connects Stripe (documented API, scheduled exports, or your warehouse sync), builds the semantic model and DAX, and validates totals against your Stripe account — most focused builds in 3–5 business days.
We publish to your workspace, set scheduled refresh within Microsoft's limits, and hand over the report and credentials. You own everything, and we maintain the refresh from your banked hours.
Representative perspective
Investor updates used to mean an afternoon of Stripe exports and spreadsheet math, and the MRR number changed depending on who built it. Now one dashboard holds the definitions and I just open it.Founder, subscription software company
Representative perspective
Reconciling Stripe payouts against the bank was the worst part of every close. Having each deposit tied back to its charges, refunds, and fees — drillable — turned a day of work into a ten-minute check.Finance lead, e-commerce subscription brand
Tell us your products, plans, and the reports you need. We'll scope the task — including the right connection method — and tell you the hours before any work begins, drawn from prepaid Flex hours that never expire, with no project minimums and no obligation.
FAQ
There's no current first-party Power BI connector for Stripe, so we're honest about the options: Stripe's documented API, scheduled exports (including Stripe's reporting exports or Data Pipeline), or a data warehouse your Stripe data already syncs to. We confirm the right method for your setup in the scope estimate before any hours are used.
Yes — that's the heart of a Stripe build. Raw Stripe objects (subscriptions, invoices, charges, refunds) don't equal clean MRR on their own, so we build the model to your definitions: how you treat trials, discounts, upgrades and downgrades, cancellations, and refunds. You approve the definitions in the scope estimate, and the dashboard applies them consistently every month.
No. We're an independent US-based Power BI service and we don't claim any Stripe or Microsoft partnership. We build using supported, documented tools — Stripe's published API and exports and Microsoft's Power BI platform. Our engineers are Microsoft-certified, but we never overstate the relationship with either vendor.
Yes. Payout reconciliation is a common request: we tie each payout back to its underlying charges, refunds, and fees, so the deposit that lands in your bank matches a drillable list of transactions. If your books live in QuickBooks, we build the same reporting there too — see our QuickBooks dashboard page.
Yes. Whichever connection method we use — API pull, scheduled exports, or a warehouse sync — we configure scheduled refresh so your MRR, payment-volume, and failed-payment views update on their own, within Microsoft's documented Power BI refresh limits (up to eight refreshes per day on Pro). We monitor and fix the refresh from your banked hours.
Book a free demo
Tell us the task. We scope it, you approve, and a senior consultant delivers — typically in 3–5 business days. Prepaid hours that never expire.
The fastest way to reach us is the form — tell us the task and we'll reply within one business day.