Supermetrics for BigQuery
Connect Stripe to BigQuery — Payment Analytics at Warehouse Scale
Warehouse your Stripe transaction data in BigQuery. Analyze net revenue, fees, refund rates, and payment method trends. Join with ad spend for true cost per paying customer.
Why Connect Stripe to BigQuery?
Warehouse your Stripe data in BigQuery for unlimited historical analysis and cross-source SQL.
- Track gross revenue, net revenue after fees, and refund rates over time with SQL.
- Analyze transaction success rates and fees by card brand, country, and payment method.
- JOIN Stripe revenue with ad platform spend to calculate true cost per paying customer.
How to Connect Stripe to BigQuery
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and BigQuery as your destination.
- 2
Authorize and configure
Connect your data source account, choose your BigQuery project and dataset, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into BigQuery automatically.
Stripe Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Stripe data looks like in BigQuery.
Data Freshness & Scheduling
Stripe data typically available within 2-4 hours. Daily transfers recommended.
What Stripe Data Can You Pull into BigQuery?
Supermetrics gives BigQuery 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
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
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Why Supermetrics for BigQuery?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in BigQuery — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Incremental Loading
Only new and updated Stripe records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Enterprise-Grade Security
SOC 2 Type II certified. GDPR and CCPA compliant. OAuth authentication with encrypted credentials. Regional data hosting available. Your data is protected end-to-end.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Stripe data as you need without worrying about cost spikes.
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
- Log into the Supermetrics Hub, create a new data transfer, select Stripe as the source and BigQuery as the destination. Authorize your Stripe account, choose your BigQuery project and dataset, pick the fields you want, set a schedule, and start the transfer. No code or SQL knowledge required — Supermetrics creates and manages the tables automatically.
- Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Stripe credentials are encrypted at rest and in transit. Data flows directly from the Stripe API to your own BigQuery project — Supermetrics does not store your marketing data on its servers. Your BigQuery IAM policies control who can access the tables.
- That is one of the biggest advantages of warehousing your data. Once Stripe lands in BigQuery, you can JOIN it with any other table — GA4 sessions, CRM deals, revenue data, other ad platforms — using standard SQL. Supermetrics supports 170+ data sources, and they all land in the same BigQuery project for easy cross-source analysis.
- All standard Stripe reporting fields are available, including Transaction amount, Transaction net, Transaction fee, Transaction refund, Balance amount, Customer account balance, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data.
- Data freshness depends on your transfer schedule. You can run transfers hourly, daily, or weekly. Most users schedule daily transfers so yesterday's complete data is ready each morning. Supermetrics uses incremental loading — only new and updated records are transferred — so even large accounts refresh quickly.
- Yes. Transaction fees, fee percentages, and net amounts after fees are all available.
- Yes. Refund amounts and refund percentages are available for chargeback and return analysis.
Also Connect to BigQuery
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