Google Analytics (GA4)
Looker Studio

Google Analytics for Looker Studio: sync to Sheets & BigQuery

SyncRange does not replace GA4’s own BigQuery export. It complements teams who want curated tabs in Sheets or a project they control. Point Looker Studio at those destinations for dashboards fed by SyncRange schedules.

Overview: all destinations for Google Analytics (GA4)

How SyncRange sends data

Connect, choose columns, schedule refreshes

  1. Connect securely so SyncRange can read your Google Analytics (GA4) data using only the access your team approves.
  2. Pick export tabs and map them to Looker Studio. Each tab becomes a worksheet, table, or file range you control.
  3. Run on demand or on a schedule; SyncRange handles pagination, retries, and headers so each refresh is predictable.

Looker Studio dashboards read from connectors such as Google Sheets and BigQuery. SyncRange focuses on keeping Google Analytics (GA4) accurate inside those destinations. Think of us as the sync layer, not a charting substitute.

After data lands on a schedule, you build Looker Studio charts and blended data sources the same way you would for any other business data. Looker Studio stays fast because the heavy lifting happens in Sheets or BigQuery.

Looker Studio and your data warehouse

Looker Studio connects natively to BigQuery and Google Sheets. SyncRange does not paint charts inside Looker Studio. We keep Google Analytics (GA4) synchronized into those destinations so your blended reports and filters stay fast and auditable.

Read how Looker Studio fits with BigQuery and Sheets

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 Looker Studio.

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
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
Sessions
Page Views
Event count
Bounce Rate
Engagement Duration
Engaged Sessions
Engagement Rate
Revenue
Transactions
Conversions
Date Exported

Social proof

Built for ecommerce teams and complex multi-brand operators

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

Jay

Jay R.

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.

Emma

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.

Ashley

Ashley R.

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.

Dominik

Dominik S.

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.

Documentation

Connect your account, then follow the configuration guide for your first export.

More exporters

Other data sources you can sync to Looker Studio

View all

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