GA4 BigQuery – Connect Google Analytics 4 with BigQuery

What is GA4 Bigquery?

Google BigQuery is a cloud data warehouse that allows you to run high-volume data in just a few seconds. The GA4 BigQuery connection provides the opportunity to conduct an in-depth analysis of business performance and user interactions. 

Why use BigQuery for your Google Analytics 4 property?

Connecting Google Analytics 4 with BigQuery is completely free of charge. Yes, you heard it right, there are no charges on exporting data from a Google Analytics 4 property to BigQuery. You can also export to a free instance of BigQuery called BigQuery Sandbox.

Now, you can really take this opportunity to the next level and go beyond the reporting interface of GA4, with unlimited advanced analytics options.

Here are a few of the advantages below:

62 point checklist

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How to connect Google Analytics 4 with BigQuery?

Now let’s dive into this step-by-step guide to connecting your Google Analytics 4 property to BigQuery.

Follow the steps below to connect Google Analytics 4 with BigQuery and then send the GA data to it:

Step-1: Navigate to your BigQuery account: https://console.cloud.google.com/bigquery

Step-2: At the top of your screen click on the drop-down menu:

connect google analytics 4 with bigquery click on the drop down menu

Step-3: Click on the ‘New Project’ button:

connect google analytics 4 with bigquery New Project

We are going to use this new project for collecting and querying Google Analytics 4 data into BigQuery.

Step-4: Name your new project and then click on the ‘Create’ button:

connect google analytics 4 with bigquery Name your new project 1

Step-5: At the top of your screen click on the drop-down menu:

connect google analytics 4 with bigquery click on the drop down menu 1

Step-6: Click on the name of the project you want to switch to (in our case ‘DBRT GA4’):

connect google analytics 4 with bigquery Click on the name of the project you want to switch to 1

Congratulations! You are now in the ‘DBRT GA4’ project.

You will know that you are in the right project because the project name will appear at the top of your screen:

connect google analytics 4 with bigquery Navigate back to your BigQuery account

Step-7: Log in to your Google Analytics 4 property and click on ‘Admin’ under the left-hand side reporting menu.

Admin 11

Step-8: Click on ‘BigQuery Linking’ under ‘Product Linking’:

GA4 BigQuery - Connect Google Analytics 4 with BigQuery

Step-9: Click on the ‘Link’ button:

connect google analytics 4 with bigquery Link button ga4

Step-10: Click on ‘Choose a BigQuery project’:

connect google analytics 4 with bigquery Choose a BigQuery project ga4

Step-11: Select the BigQuery project where you want to send your GA4 data and then click on the ‘Confirm’ button. In our case that project is ‘DBRT GA4’:

connect google analytics 4 with bigquery Confirm 1

Step-12: Select your data location and then click on the ‘Next’ button.

Data location is the cloud region where your data is stored.

connect google analytics 4 with bigquery Select your data location ga4 1

Step-13: ‘Edit’ your data stream(s) if required. Otherwise, move on to the next step. By default, all of the data streams are selected.

You have the option to select a specific data stream for which you will be exporting the data to BigQuery. Just click on ‘Edit’ if you want to edit your data streams:

connect google analytics 4 with bigquery Edit your data stream ga4

Step-14: Click on the checkbox “Include advertising identifiers for mobile app streams” if you have a mobile app and you want to export mobile advertiser identifiers. Otherwise, move on to the next step.

connect google analytics 4 with bigquery Include advertising identifiers for mobile app streams ga4

Step-15: Select the frequency of your data import to BigQuery by selecting both ‘Daily’ and ‘Streaming’ settings and then click on the ‘Next’ button:

connect google analytics 4 with bigquery frequency of your data import to BigQuery

You should now see a screen like the one below:

connect google analytics 4 with bigquery submit button

Step-16: Click on the ‘Submit’ button. You should now see a screen like the one below:

connect google analytics 4 with bigquery link created ga4

Congratulations! 

Your GA4 account is now successfully linked to your Big Query project.

Step-17: Navigate to https://console.cloud.google.com/apis/dashboard

Step-18: Make sure your BigQuery project for GA4 is selected:

connect google analytics 4 with bigquery Make sure your BigQuery project for GA4 is selected 1

Step-19: Click on the ‘+ENABLE APIS AND SERVICES’ button:

connect google analytics 4 with bigquery ENABLE APIS AND SERVICES bigquery

You should now see a screen like the one below:

connect google analytics 4 with bigquery welcome to the api library 1

Step-20: Search for “Big Query” and then click on the ‘Big Query API’ button:

connect google analytics 4 with bigquery bigquery api 1

Step-21: Click on the ‘Manage’ button:

connect google analytics 4 with bigquery bigquery api manage 1

Step-22: Click on the ‘Credentials’ link from the left-hand side navigation menu:

connect google analytics 4 with bigquery Credentials

Step-23: You would now need to add a firebase service account.

This account would be used to export Google Analytics 4 data to BigQuery. To do that click on the ‘+create credentials’ button:

connect google analytics 4 with bigquery add a firebase service account

Step-24: Click on the ‘Service account’ link to create a new service account:

connect google analytics 4 with bigquery Service account 1

You should now see a screen like the one below:

connect google analytics 4 with bigquery create service account 1

Step-25: Enter [email protected] as service account name:

connect google analytics 4 with bigquery service account name 1

Step-26: Click on the ‘Create’ button:

connect google analytics 4 with bigquery create 1

You should now see a screen like the one below:

connect google analytics 4 with bigquery done service account

Step-27: Click on the ‘DONE’ button.

You should now see your new service account listed like the one below:

connect google analytics 4 with bigquery new service account listed

Step-28: Wait for a full 24 hours.

It usually takes around 24 hrs for your GA4 data to be available in your BigQuery project.

Step-29: Navigate back to your BigQuery account and make sure that your project used for collecting GA4 data is selected:

connect google analytics 4 with bigquery Navigate back to your BigQuery account 1

Step-30: Scroll down and then click on the project ID of the project which collects GA4 data:

connect google analytics 4 with bigquery click on the project ID of the project which collects GA4 data

You should now be able to see a data set named “analytics_<property_id>“:

connect google analytics 4 with bigquery analytics property id

For each Google Analytics 4 property that is linked to BigQuery, a single dataset named “analytics_<property_id>” is added to your BigQuery project.

Property ID refers to your Analytics Property ID, which you can find in the property settings for your GA4 property.

In my case, the property ID is 207472454

That’s why the name of my data set is ‘analytics_207472454

This data set contains the following two data tables which contain your GA4 data:

  1. events_(<number of days>)
  2. events_intraday_<current date>
connect google analytics 4 with bigquery data set contains the following two data tables 1

If you want to learn more about these two data tables then check out this article: events_ & events_intraday_ tables in BigQuery for GA4 (Google Analytics 4)

Conclusion

You can use a Google Analytics 4 property and BigQuery to evaluate the limitless possibility of new insights and define your own advanced analytics capabilities.

Furthermore, you can also connect BigQuery with third-party tools using native connectors to integrate more data.

BigQuery also supports most of the visualization tools and you can make use of them to build dashboards and insights to enhance your business growth.

If you want to send GA3 data to Google Big Query and that too without using GA 360 then check out this article: Sending Google Analytics data to BigQuery without 360

Frequently asked questions about Connecting Google Analytics 4 with BigQuery

How do I link Google Analytics 4 to BigQuery?

Follow the below steps to link Google Analytics 4 to BigQuery
1. Click on ‘Admin’ in the GA4 account and under the ‘Property’ column, click on ‘BigQuery Linking’.
2. Now click on ‘Link’ to create a new connection.
3. Click on ‘Choose a BigQuery Project’.
4. Select your BigQuery Project (You can create a new project if needed).
5. Select your data location.
6. Select the data streams for which you want to export the data.
7. Select the frequency.
8. Review your configuration and click on ‘Submit.

What are the cost involved in GA4 and BigQuery export?

GA4 and BigQuery exports are completely free of cost. You can export your GA4 data to a free instance of BigQuery (BigQuery Sandbox). However, if your export exceeds the limit of BigQuery Sandbox, it will incur charges.

What are the advantages of GA4 and BigQuery export?

Following are the advantages of GA4 and BigQuery export.
1. Store data in BigQuery and then after processing you can send it to other data warehouses like AWS or Azure.
2. Perform advanced analysis on the raw data from GA4 property.
3. Connect multiple data streams from GA4. For example, you can pull data into BigQuery from Android apps, IOS apps, and websites, all from one central point.
4. Join your data with other marketing or CRM tools.
5. Export to BigQuery is completely free for GA4 properties. This was earlier only available in GA360 (Premium Universal Analytics) accounts with a paid subscription.
6. Visualize your data in tools such as Tableau, Qlik Sense, PowerBI, and Data Studio.

#1 GA4 Intro

  1. What is GA4 (Google Analytics 4) – The Apps + Web Property?
  2. Key Benefits of Using Google Analytics 4 (GA4)
  3. How to upgrade to GA4 (Google Analytics 4)
  4. Google Analytics 4 (GA4) vs Universal Analytics – What is the difference?
  5. Google Signals GA4 – See demographics (gender, age) in Google Analytics 4
  6. Understanding Google Analytics Measurement ID (GA4)
  7. Google Analytics 4 training and tutorial
  8. Using the GA4 test property

#2 GA4 Integration

  1. How to connect GA4 (Google Analytics 4) with Google Data Studio
  2. How to link GA4 (Google Analytics 4) with Google Ads
  3. GA4 BigQuery – Connect Google Analytics 4 with BigQuery

#3 GA4 Events

  1. GA4 (Google Analytics 4) Event Tracking Setup Tutorial
  2. How to set up GA4 Custom Events via Google Tag Manager
  3. GA4 (Google Analytics 4) Enhanced Measurement Tracking Tutorial
  4. Events Report in Google Analytics 4 (GA4)
  5. GA4 User Properties (User Scoped Custom Dimensions) – Tutorial
  6. Event Scoped Custom Dimensions in GA4 – Tutorial

#4 GA4 Conversions

  1. GA4 (Google Analytics 4) Conversion Tracking Guide
  2. How to import conversions from GA4 property to your Google Ads account

#5 GA4 Dimensions and Metrics

  1. GA4 Metrics Tutorial with Free Google Analytics 4 Ebook
  2. GA4 Custom Metrics Tutorial
  3. GA4 Dimensions Tutorial
  4. GA4 Custom Dimensions Tutorial

#6 GA4 Ecommerce

  1. GA4 (Google Analytics 4) Ecommerce Tracking via GTM – Tutorial

#7 GA4 Specialized Tracking

  1. Cross Domain Tracking in GA4 (Google Analytics 4) Setup Guide
  2. GA4 Site Search – Tracking Site Search in Google Analytics 4
  3. GA4 (Google Analytics 4) Scroll Tracking Tutorial
  4. How to Install Google Analytics 4 on Shopify
  5. Self-referral Google Analytics 4 – Referral exclusion GA4
  6. GA4 Data Import Tutorial

#8 GA4 filters

  1. GA4 filters – Understanding data filters in Google Analytics 4
  2. How to create and test filters in Google Analytics 4 (GA4)?
  3. Exclude internal traffic in GA4 (Google Analytics 4) via IP filter

#9 GA4 Analysis Hub

  1. Analysis Hub Google Analytics – Exploration Report in GA4 (Google Analytics 4)
  2. How to use the user lifetime report in Google Analytics 4 (GA4)
  3. How to use path analysis report in Google Analytics 4 (GA4)
  4. How to use Segment Overlap Report in Google Analytics 4 (GA4)
  5. How to use the Funnel Analysis Report in Google Analytics 4 (GA4)

#10 GA4 Advanced

  1. How to use Debug View report in Google Analytics 4 (GA4)
  2. Understanding GA4 measurement protocol
  3. How to create a remarketing audience in Google Analytics 4 (GA4)
  4. GA4 Audiences – Creating custom audience in Google Analytics 4
  5. How to build comparison (Advanced segment) in Google Analytics 4 (GA4)

#11 GA4 Reporting

  1. How to create custom insights in Google Analytics 4 (GA4)

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