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 take this opportunity to the next level and go beyond the reporting interface of GA4, with unlimited advanced analytics options.
Step-2: At the top of your screen, click on the drop-down menu:
Step-3: Click on the ‘New Project’ button:
We will use this new project to collect and query Google Analytics 4 data into BigQuery.
Step-4: Name your new project and then click on the ‘Create’ button:
Step-5: At the top of your screen, click on the drop-down menu:
Step-6: Click on the name of the project you want to switch to (in our case, ‘DBRT GA4’):
Congratulations! You are now in the ‘DBRT GA4’ project.
You will know that you are on the right project because the project name will appear at the top of your screen:
Step-7: Log in to your Google Analytics 4 property and click on ‘Admin’ under the left-hand side reporting menu.
Step-8: Click on ‘BigQuery Linking’ under ‘Product Linking’:
Step-9: Click on the ‘Link’ button:
Step-10: Click on ‘Choose a BigQuery project’:
Step-11: Select the BigQuery project where you want to send your GA4 data and click on the ‘Confirm’ button. In our case, that project is ‘DBRT GA4’:
Step-12: Select your data location and click on the ‘Next’ button.
Data location is the cloud region where your data is stored.
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:
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.
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:
You should now see a screen like the one below:
Step-16: Click on the ‘Submit’ button. You should now see a screen like the one below:
Congratulations!
Your GA4 account is now successfully linked to your Big Query project.
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 visualization tools, and you can use them to build dashboards and insights to enhance your business growth.
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 the 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. Earlier, this was 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.
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