Supermetrics for BigQuery
Connect Google Analytics 4 to BigQuery — Web Analytics at Warehouse Scale
Get aggregated GA4 data in BigQuery without the cost and complexity of the native event-level export. GA4's built-in BigQuery Export delivers raw event data that's expensive to query and requires complex unnesting SQL. Supermetrics loads pre-aggregated sessions, conversions, and traffic source data in flat tables — dramatically lower query costs and zero data engineering. Use both together: Supermetrics for daily reporting, native export for event-level deep dives.
Why Connect Google Analytics 4 to BigQuery?
Warehouse your GA4 data in BigQuery for unlimited historical analysis and cross-source SQL.
Query-ready alternative to native export
GA4's native BigQuery export delivers raw event-level data requiring complex unnesting. Supermetrics loads a flattened, pre-aggregated schema you can query immediately — then JOIN both tables when you need event-level depth.
Serverless cross-source attribution
JOIN GA4 sessions with Google Ads, Facebook Ads, and CRM tables already in your BigQuery project. BigQuery's serverless architecture means no cluster management — just write SQL and let Google handle the compute.
BigQuery ML conversion modeling
Build conversion probability models directly on your GA4 session data using BigQuery ML. Predict which traffic sources drive the highest LTV without exporting data to a separate ML platform.
How to Connect Google Analytics 4 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.
Google Analytics 4 Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your GA4 data looks like in BigQuery.
Data Freshness & Scheduling
GA4 data typically available within 4-8 hours. Daily transfers recommended for most reporting needs.
What Google Analytics 4 Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full GA4 reporting data — metrics and dimensions you already know from the GA4 interface.
Key Metrics
- Sessions
- Users
- New users
- Active users
- Views
- Engagement rate
- Average engagement time
- Bounce rate
- Conversions
- Conversion rate
- Revenue
- Event count
- Transactions
- Ecommerce purchases
Key Dimensions
- Page path
- Source / Medium
- Campaign
- Channel group
- Device category
- Browser
- Country
- City
- Landing page
- Referrer
- Event name
Resources & Guides
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 Google Analytics 4 records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
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 Google Analytics 4 data as you need without worrying about cost spikes.
Unsampled Data
Get your complete Google Analytics 4 dataset without sampling. Every session, every keyword, every page — full-fidelity data for accurate analysis.
Frequently Asked Questions
How do I connect Google Analytics 4 to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Google Analytics 4 as the source and BigQuery as the destination. Authorize your Google Analytics 4 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.
Is my Google Analytics 4 data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Google Analytics 4 credentials are encrypted at rest and in transit. Data flows directly from the Google Analytics 4 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.
Can I combine Google Analytics 4 data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Google Analytics 4 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.
What Google Analytics 4 metrics and dimensions are available in BigQuery?
All standard Google Analytics 4 reporting fields are available, including Sessions, Users, New users, Active users, Views, Engagement rate, 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.
How fresh is Google Analytics 4 data in BigQuery?
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.
Why use Supermetrics instead of the free GA4 BigQuery Export?
The native GA4 export loads raw event-level data with nested arrays that require complex unnesting queries. Every dashboard refresh scans the full event table, which gets expensive fast — teams with 10M+ daily events regularly see $50-200/month in query costs alone. Supermetrics loads pre-aggregated session and conversion data in flat tables, cutting query costs by 90%+ and making the data instantly usable without SQL transformation.
Can I use both Supermetrics and the native GA4 export?
Yes, and many teams do. Use Supermetrics aggregated tables for daily reporting, dashboards, and cross-channel analysis (fast, cheap queries). Keep the native event export for rare event-level investigations like user journey analysis or custom event debugging. Both live in the same BigQuery project.
Also Connect to BigQuery
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