Send GA4-style reports to BigQuery tables for SQL analysis, long retention, and joins with ads data. SyncRange repeats each configured tab as a stable table pattern your analysts can rely on.
Connect, choose columns, schedule refreshes
When spreadsheets are not enough, SyncRange loads Google Analytics (GA4) into Google BigQuery. Tables inherit the column layout from your export tabs, so SQL models and dbt projects can depend on predictable names.
BigQuery becomes the place to join marketing, ecommerce, and finance sources, run large historical queries, and power BI tools that expect a warehouse instead of a sheet.
Send your Google Analytics (GA4) data directly to Google BigQuery for enterprise-grade data warehousing. Build a central analytics repository, run SQL across massive datasets, and power large-scale reporting without managing pipelines or writing ETL code.
What we can export, and how it lands
Each row is a field you can include or omit in the app before export. Column headers match the labels below; SyncRange writes them as the first row in your destination (worksheets in Google Sheets or Excel, or BigQuery columns) when you choose BigQuery.
Each Analytics export tab mixes dimensions and metrics you select. GA4 compatibility rules apply in the app (some combinations are not valid on Google's side).
| Columns |
|---|
| Date |
| Page Title |
| Page Path |
| Source |
| Medium |
| Campaign |
| Event name |
| Device Category |
| Browser |
| Operating System |
| Country |
| Region |
| City |
Metrics you can combine with the dimensions above inside SyncRange.
| Columns |
|---|
| Total Users |
| Sessions |
| Page Views |
| Event count |
| Bounce Rate |
| Engagement Duration |
| Engaged Sessions |
| Engagement Rate |
| Revenue |
| Transactions |
| Conversions |
| Date Exported |
Social proof
See how teams export clean ecommerce and marketing data to Google Sheets, Microsoft Excel, or BigQuery without manual work.
Large Online Retailer
We manage high-volume ecommerce data across multiple channels and needed clean exports into BigQuery without custom engineering overhead. SyncRange gave us reliable scheduled pipelines and immediate visibility by brand.
Multi-brand Shopify Plus Operator
We run multiple Shopify stores and needed brand-level exports into BigQuery without custom pipeline maintenance. SyncRange gave us reliable scheduled exports and removed hours of manual QA.
Shopify Store Founder
We were manually updating Google Sheets every morning with Shopify and ad data. It was slow and error-prone. Now everything updates automatically, and our daily profitability tracker is always accurate.
Shopify Store Founder
I almost hired developers to build custom Shopify-to-Sheets exports. Quotes were expensive and came with ongoing maintenance. SyncRange was a fraction of the cost and worked immediately without a long build project.
Connect your account, then follow the configuration guide for your first export.
Other data sources you can sync to BigQuery
