Supermetrics for BigQuery
Connect Shopify to BigQuery — E-commerce Data at Warehouse Scale
Move your Shopify orders, products, and customer data into BigQuery. Join with ad platform spend to calculate true ROAS, analyze customer lifetime value, and build cohort models with SQL.
Why Connect Shopify to BigQuery?
Warehouse your Shopify data in BigQuery for unlimited historical analysis and cross-source SQL.
- JOIN Shopify order revenue with GA4 session data and ad platform spend already in your BigQuery project. Calculate actual ROAS from click through to purchase in a single serverless SQL query.
- Train an LTV prediction model directly on your Shopify order history using BigQuery ML. Forecast customer value by acquisition source — all in SQL, no separate ML infrastructure required.
- BigQuery is Looker Studio's most performant data source. Build interactive product profitability dashboards with drill-downs from category to SKU, powered by BigQuery's columnar engine.
How to Connect Shopify 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.
Shopify Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Shopify data looks like in BigQuery.
Data Freshness & Scheduling
Shopify data typically available within 2-4 hours. Daily transfers recommended.
What Shopify Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Shopify reporting data — metrics and dimensions you already know from the Shopify interface.
Key Metrics
- Orders
- Net sales
- Gross sales
- Average order value
- Units sold
- Gross profit
- Discount amount
- Shipping charges
- Tax amount
- Returns
- Total sales
Key Dimensions
- Product title
- Product type
- Product vendor
- Product tags
- SKU
- Variant title
- Order status
- Fulfillment status
- Channel
- UTM source
- Customer location
- Referring site
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
Supermetrics is Google Cloud Ready — BigQuery
7 Supermetrics use cases for ecommerce
FIFCO: saved $70k + 160 hrs/month
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 Shopify 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 Shopify data as you need without worrying about cost spikes.
Every Order, Every Product
Pull your complete Shopify 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 Shopify as the source and BigQuery as the destination. Authorize your Shopify 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 Shopify credentials are encrypted at rest and in transit. Data flows directly from the Shopify 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 Shopify 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 Shopify reporting fields are available, including Orders, Net sales, Gross sales, Average order value, Units sold, Gross profit, 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. All order, product, customer, and analytics data is available regardless of your Shopify plan.
- Yes. JOIN Shopify orders with Facebook Ads, Google Ads, or any other ad platform by UTM parameters or date.
Also Connect to BigQuery
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