Supermetrics for Power BI
Connect Stripe to Power BI — Revenue Intelligence Dashboards
Build Power BI dashboards for Stripe with recurring revenue analysis, payment failure monitoring, and customer payment behavior tracking. DAX measures calculate net revenue after fees, refund rates by product, and transaction volume trends. Use row-level security to restrict financial data access.
Why Connect Stripe to Power BI?
Build live Stripe dashboards in Power BI that update automatically and share with your team.
- Track gross revenue, Stripe fees, and net revenue in Power BI. DAX measures calculate effective fee rates by card brand and country, and identify transactions where fees consume disproportionate margin.
- Monitor refund rates and patterns with conditional formatting that flags products or periods with unusual refund activity. DAX measures calculate refund-adjusted revenue for accurate P&L reporting.
- Join Stripe transaction data with marketing spend from Google Ads and Facebook in Power BI. Calculate true marketing ROI by comparing ad spend to actual collected revenue, not just reported conversions.
How to Connect Stripe to Power BI
Three steps. Under two minutes. Zero code.
- 1
Open Power BI Desktop and Get Data
Launch Power BI Desktop, click "Get Data," and search for the Supermetrics connector to install it.
- 2
Authorize your data source
Sign in with your Supermetrics account and authorize your data source. Your credentials are encrypted and securely stored.
- 3
Build Your Dashboard
Select your metrics and dimensions, load the data into your model, and start building visuals, DAX measures, and interactive reports.
Dashboard Templates for Stripe in Power BI
Pre-built dashboards to get you started. Customize layouts, filters, and visualizations to match your reporting needs.
Stripe Revenue & Fee Dashboard
Gross vs. net revenue trend with fee rate analysis by card brand. Transaction volume KPIs with refund rate monitoring and currency breakdown.
Payment Health & Reconciliation
Failed payment tracking with retry success rates, refund trend analysis, and marketing spend vs. collected revenue reconciliation.
Reporting Scenarios for Stripe in Power BI
Common reporting use cases that teams build with Stripe data in Power BI.
Matrix table
Fee Rate by Card Brand & Country
Matrix table with conditional formatting showing effective Stripe fee rates across card brands and issuing countries, highlighting where transaction costs are highest.
Line chart
Revenue vs. Refund Trend
Dual-axis line chart showing gross revenue and refund volume over time, with a DAX-calculated refund rate line revealing whether quality issues are growing.
What Stripe Data Can You Pull into Power BI?
Supermetrics gives Power BI access to your full Stripe reporting data — metrics and dimensions you already know from the Stripe interface.
Key Metrics
- Transaction amount
- Transaction net
- Transaction fee
- Transaction refund
- Balance amount
- Customer account balance
- Transaction charge %
- Transaction fee %
- Transaction refund %
- Fee amount
Key Dimensions
- Customer email
- Transaction type
- Transaction status
- Transaction currency
- Source card brand
- Source card country
- Source type
- Balance type
- Coupon ID
Resources & Guides
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Power BI for marketing: setup guide
Data transformation in Power BI
7 Supermetrics use cases for ecommerce
Browse all Power BI templates
Feld Entertainment: enterprise dashboards
Why Supermetrics for Power BI?
The trusted marketing data platform since 2009. 200,000+ companies use Supermetrics — 15% of global ad spend flows through our connectors.
Built for Power BI
Purpose-built Power BI connector with setup in minutes. Your marketing team can build dashboards independently — no data engineering resources required.
170+ Data Sources
Connect Stripe alongside 170+ other platforms through a single integration. All your marketing data in one place.
Data Blending
Combine Stripe with other data sources in Power BI. Blend on shared keys like date, campaign name, or UTM parameters for cross-channel visibility.
Enterprise Security
SOC 2 Type II certified. GDPR compliant. OAuth authentication. Your data is encrypted at rest and in transit.
Always Current
Your Stripe data refreshes automatically in Power BI. No manual exports, no stale numbers — open your report and the data is current.
Every Order, Every Product
Pull your complete Stripe catalog — every order, product, variant, and customer segment. No row limits, no sampling, no date restrictions.
Frequently Asked Questions
- Install the Supermetrics connector from the Power BI Desktop "Get Data" menu, sign in with your Supermetrics account, and authorize Stripe. Your data appears as a Power Query table — from there you load it into your model, build relationships, and start creating visuals. No custom connector development needed.
- Yes. Publish your report to the Power BI Service and configure a scheduled refresh through your dataset settings. Supermetrics refreshes your Stripe data on the schedule you set — hourly, daily, or whatever cadence fits your reporting rhythm. Your dashboards stay current without manual intervention.
- Absolutely. Power BI's data model is built for blending. Use Supermetrics to pull Stripe alongside data from 170+ other marketing platforms — Google Ads, LinkedIn Ads, GA4, and more — then join them through shared dimensions like date, campaign name, or UTM parameters in Power Query or the data model.
- All standard Stripe reporting fields are available, including Transaction amount, Transaction net, Transaction fee, Transaction refund, Balance amount, and more. You get the same data as the Stripe native reporting UI, loaded into Power BI where you can create DAX measures, build relationships, and apply row-level security.
- Basic Power BI Desktop knowledge is enough. Supermetrics handles the API connection, authentication, and data formatting. You pick your metrics, choose a date range, and load — the data arrives as clean tables ready for modeling. No API code, no ETL scripting.
- Pull transaction amount and fee data via Supermetrics. Create DAX measures: NetRevenue = SUM(TransactionNet), EffectiveFeeRate = DIVIDE(SUM(TransactionFee), SUM(TransactionAmount)). Trend these over time to monitor fee impact.
- Yes. Pull refund amounts alongside transaction data. DAX measures calculate refund rate by product, customer segment, or time period. Conditional formatting highlights products with above-average refund rates for investigation.
Also Connect to Power BI
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