Connect Google Analytics 4 (GA4) to BigQuery

Easily integrate your Google Analytics data into BigQuery with Windsor.ai for scalable data analysis.

Our no-code ELT connectors automate GA4 reporting, enabling multi-channel performance analysis and delivering actionable insights into your digital platform’s results—all in just a few clicks, without the need for a complex technical setup.

Forget CSVs. Stop copy/paste. Connect data in 2 minutes. No code required.

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Windsor.ai is your proven Google Analytics 4 to Google BigQuery connector

Get the most out of your GA4 data with BigQuery integration

While you can conduct comprehensive analysis in Google Analytics 4 (GA4), integrating it with BigQuery revolutionizes the scope and scale of your analytics efforts. Here are the game-changing benefits that GA4 BigQuery integration through Windsor.ai’s ELT connector can bring to your business:

Analyze large datasets without performance lags

Analyze large datasets without performance lags

Collecting and analyzing data from multiple websites and applications via GA4 can often be slow due to the reliance on numerous APIs. By integrating Google Analytics 4 with BigQuery, you can streamline the analysis of large-scale datasets, ensuring fast, reliable performance without any slowdowns.

Automate data reporting across multiple sources

Automate data reporting across multiple sources

The GA4-BigQuery integration allows you to sync data from multiple websites and apps automatically. You can then build fully automated dashboards to analyze and report your data at scale.

Additionally, with BigQuery’s embedded data flows and dashboard features, you can schedule automated reports for timely data delivery, empowering you to make more informed decisions.

Make powerful data-driven decisions with real-time insights

Make powerful data-driven decisions with real-time insights

A key advantage of integrating Google Analytics with BigQuery is the ability to make winning decisions based on real-time data, capturing every click, scroll, conversion, and other significant events on your digital platform. With instant access to this data, you can optimize the user experience and align your future efforts with ultimate marketing goals—whether it’s boosting sales, driving lead form completions, or raising brand awareness.

Access raw data for custom reporting

Access raw data for custom reporting

Integrating GA4 with BigQuery provides direct access to the raw, granular data collected by Google Analytics. Rather than relying on aggregated or preprocessed data within the GA4 interface, you can handle event-level data. This gives you more flexibility in performing advanced analytics, custom analysis, and building customized reports based on your specific business needs.

Enhance marketing attribution with cross-channel analysis

Enhance marketing attribution with cross-channel analysis

The GA4 to BigQuery integration via Windsor.ai allows you to merge data from various sources and platforms, including websites, mobile apps, and other marketing platforms. This complete data synchronization allows for comprehensive cross-channel analysis, where you can track the customer journey across various touchpoints, accurately attribute conversions, and gain deeper insights into how different marketing channels influence user behavior and sales.

Using Windsor.ai connector to import data from GA4 into BigQuery

While there are various ways to transfer Google Analytics 4 data into BigQuery, many methods are complex, time-consuming, and expensive.

This is where Windsor.ai steps in. With our powerful ELT connector, you can directly transfer your data from GA4 to Google BigQuery in a hassle-free and fully automated manner.

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Join over 3,000 businesses that trust Windsor.ai to streamline GA4 to BigQuery integration
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How to connect Google Analytics 4 to BigQuery in Windsor.ai

Make sure you have the following prerequisites before setting up the connector:

  • GA4 property with Editor or Administrator permissions
  • Google Cloud Platform (GCP) account with BigQuery enabled
  • Active Windsor.ai account
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How to connect Google Analytics 4 to BigQuery manually

Manually integrating Google Analytics 4 (GA4) with BigQuery involves multiple steps, including GA4 BigQuery link creation and setup, transforming and scheduling data. While this approach requires technical expertise, it provides full control over the data pipeline.

Windsor.ai streamlines the integration by automating data transfer, removing the need for manual setup, ensuring real-time updates, and reducing errors.

However, if you prefer a manual integration, follow this step-by-step guide to set up BigQuery linking and extract GA4 data into Google BigQuery.

Prerequisites

Before proceeding with the integration, ensure you have the following things in place:

  • A Google Analytics 4 (GA4) account with Editor or Admin access.
  • A Google Cloud Platform (GCP) account with billing enabled.
  • Access to BigQuery and permissions to create datasets and tables.

Step 1. Set up Google Cloud and BigQuery

1. Enable BigQuery API:

  • Go to the Google Cloud Console → APIs & Services → Library.
  • Search for BigQuery API and click Enable.

2. Create a BigQuery Dataset:

  • Open the BigQuery Console.
  • Select your project and click Create Dataset.
  • Name the dataset (e.g., ga4_export_data).
  • Choose a data location and set the expiration policy (optional).
  • Click Create Dataset.

Step 2. Enable BigQuery export in Google Analytics

1. Log in to your Google Analytics Account and click Admin from the sidebar.

2. Under the Property Settings, click Product Links.

3. Select BigQuery Links.

4. Click Link and select your Google Cloud Project.

5. Choose your BigQuery dataset location (select the closest region for better performance).

6. Select the dataset where GA4 data will be stored (the one you’ve created previously).

7. Select the data streaming frequency:

  • Daily Export: Sends processed data once a day.
  • Streaming Export: Sends data in near real-time.

8. Click Confirm and Save.

Step 3. Verify data in BigQuery

1. Open the BigQuery Console and navigate to the dataset you’ve created or selected.

2. You should see automatically created tables, such as:

  • events_intraday_YYYYMMDD
  • events_YYYYMMDD

3. Run SQL queries to explore the data:

SELECT *
FROM `your_project.ga4_export_data.events_*`

Cheers, you’ve sent your Google Analytics 4 data to Google BigQuery!

Keep in mind that the Daily Export is free within Google Cloud’s free tier while the Streaming Export incurs additional costs based on usage.

FAQs

What is Google Analytics 4?

Google Analytics 4 is an advanced analytics platform developed by Google to help you track and understand how prospects, leads, and customers interact with your website or mobile application while measuring the effectiveness of your marketing campaigns across various channels.

GA4 allows you to analyze every key event—from the moment a user lands on your site or opens your app to when they exit. The insights provided by GA4 bring a deep understanding of user behavior, enabling you to improve user engagement, optimize the user experience, and enhance strategies for attracting, converting, and retaining customers.

Additionally, the platform helps you identify the most effective and underperforming marketing channels, allowing you to optimize your budget allocation for better results.

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Tired of manual GA4 data exports? Get started with Windsor.ai today to automate your reporting

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