How to backfill Google Analytics data in BigQuery

By backfilling Google Analytics data in BigQuery, you can export historical data into your BigQuery project. 

Prerequisites for backfilling Google Analytics data

Before you can backfill Google Analytics data in BigQuery:

#1 You would need access to a BigQuery project which has got at least one dataset and one data table.

#2 Your BigQuery project must be associated with at least one active data transfer service.

#3 Your initial data transfer must have been completed successfully for your chosen data source.

#4 Different data sources (like Google Analytics, Google Ads, Facebook etc) have different data retention policies which could restrict the amount of data you are allowed to backfill.

If you are using a third-party solution/connector (like Supermetrics) to connect to a data source then the amount of data you are allowed to backfill will depend upon the connector being used. 

For example, Supermetrics for BigQuery’ connector allows you to backfill up to six months worth of data at one time. If you want to backfill more data then you would need to do it in separate batches of six months sized.

Follow the steps below to backfill Google Analytics data in BigQuery:

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

Step-2: Make sure that you are in the project whose data transfer service you want to edit for backfilling Google Analytics data:

Step-3: Click on link ‘Data transfers’ from the left-hand side navigation:

Step-4: Click on the name of the data transfer service you want to edit:

You should now see a screen like the one below:

Step-5: Click on the ‘SCHEDULE BACKFILL‘ button to backfill Google Analytics data into your BigQuery data table:

backfill Google Analytics data in BigQuery

Step-6: Select the start and end date for the Google Analytics backfill and then click on the ‘OK’ button to start the data transfer:

For each day in the selected date range, a new data transfer service will be added to your run history:

Step-7: Wait for the data transfer to complete. This could take some time depending upon how much data you requested to be backfilled:

Step-8: Click on the ‘SQL workspace’ link from the left-hand side navigation:

Step-9: Navigate to the dataset which contains the data table(s) that contain the backfilled Google Analytics data:

You should now be able to see the backfilled Google Analytics data for a particular day from the date drop-down menu:

Other articles on Google Analytics BigQuery

  1. Advantages of using Google BigQuery for Google Analytics
  2. Cost of using BigQuery for Google Analytics
  3. Guide to BigQuery Cost optimization
  4. What is Google BigQuery Sandbox and how to use it
  5. Understanding the BigQuery User Interface
  6. Sending data from Google Analytics to BigQuery without 360
  7.  How to connect GA4 (Google Analytics 4) with BigQuery
  8. events_& events_intraday_ tables in BigQuery for GA4 (Google Analytics 4)
  9. Using Google Cloud pricing calculator for BigQuery
  10. How to access BigQuery Public Data Sets
  11. How to use Google Analytics sample dataset for BigQuery
  12. Connect and transfer data from Google Sheets to BigQuery
  13. How to query Google Analytics data in BigQuery
  14. How to send data from Google Ads to BigQuery
  15. What is BigQuery Data Transfer Service & how it works.
  16. How to send data from Facebook ads to BigQuery
  17. How to send data from Google Search Console to BigQuery
  18. How to pull custom data from Google Analytics to BigQuery
  19. Best Supermetrics Alternative – Dataddo
  20. Google Analytics BigQuery Tutorial

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