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Sync Google Analytics to BigQuery automatically

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.

Google Sheets Microsoft Excel BigQuery Looker Studio Power BI

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Overview: all destinations for Google Analytics (GA4)

How it works

Connect, choose data, open the report

Connect Google Analytics (GA4) securely with OAuth so SyncRange can read only the access your team approves.
Pick the fields your model needs and map them to BigQuery, including deep store data basic extractors skip when available.
Open the report in a destination on the schedule you set, from daily to as often as every 15 minutes by plan.

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.

Export to BigQuery

Data Warehousing & Large-Scale Analytics

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.

Data warehouse ready: Tables land in BigQuery for long-term storage and historical analysis
Large-scale analytics: Query billions of rows with SQL and join with other sources in your warehouse
BI & ML ready: Connect Looker Studio, Looker, or custom tools for dashboards and machine learning

Export schema

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.

Dimensions (GA4)

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
Property Summary
Date
Page Title
Page Path
Source
Medium
Campaign
Event name
Device Category
Browser
Operating System
Country
Region
City

Metrics (GA4)

Metrics you can combine with the dimensions above inside SyncRange.

Columns
Total Users
Active Users
Sessions
Page Views
Event count
Bounce Rate
Engagement Duration
Engaged Sessions
Engagement Rate
Revenue
Transactions
Conversions
Date Exported

Built for ecommerce teams and multi-brand operators

See how teams export clean ecommerce and marketing data to BigQuery, Google Sheets, or Excel without manual work.

SML Cakes

Shopify Store and Food delivery

★★★★★

Super easy to use and has been extremely useful in getting the real time data we need from our Shopify store. Ryan was super helpful in getting started, and responded to questions within minutes. Highly recommend.

Emma L.

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.

UPlay

Large marketplace

★★★★★

We struggled to find a Shopify extraction tool that went beyond basic product, order, and customer data until we found SyncRange. It effortlessly pulls everything we require, including metaobjects and custom fields. SyncRange's hands-on guidance has given us complete confidence.

Hydro Power

Large Shopify Store

★★★★★

SyncRange was very helpful setting up Report Automation for my store. Highly recommend, Ryan made it as simple as possible and was very easy to work with. I recommend.