Using GA4 BigQuery SQL generator to create SQL queries
What is GA4 BigQuery SQL generator?
GA4 SQL is a free tool through which you can quickly create SQL queries for your GA4 data.
The GA4 SQL tool is not as powerful as ChatGPT for creating SQL queries, but it is still a good tool for creating decent queries (the ones which do not require a lot of customization) faster.
Consider the following data table:
This data table is for June 18, 2023 which is denoted by 20230618.
Let us suppose you want to query the data which meets the following requirements:
- You want to query data between the date range June 1, 2023 and June 18, 2023
- You want to retrieve the ‘event_date’ and ‘event_name’ columns of the data table.
- You want to sort the values of the ‘event_date’ column in ascending order.
- You want to see only those rows where the value of the ‘event_name’ column is ‘page_view’
- You want to see the values of the ‘event_name’ columns as count of ‘page_views’ event.
The end result should be a data table which shows the total pageviews count for each day from June 1 to June 18, 2023.
Follow the steps below:
#1 Navigate to https://www.ga4sql.com/
#2 Enter your table ID without the * character in the table name field:
#3 Click on the Date Range drop-down menu:
#4 Click on custom date range:
#5 Set the Start Date to 01/06/2023 and the End Date to 18/06/2023:
#6 Remove the Sessions metric by clicking on the cross button next to it:
#7 Select the ‘Event Count‘ metric from the ‘Metrics‘ drop-down menu:
#8 Remove the ‘Session Source Medium‘ dimension by clicking on the cross button next to it:
#9 Select the ‘Date‘ and ‘Event Name‘ dimensions from the ‘Dimensions‘ drop-down menu:
#10 Click on the ‘Filters‘ drop-down menu:
You should now see a screen like the one below:
#11 Set the following filter:
#12 Click on the ‘Sort by‘ drop-down menu:
You should now see a screen like the one below:
#13 Click on the ‘Select Field‘ drop-down menu and then select ‘Date‘:
#14 Click on the ‘Generate Query‘ button:
You should now see the generated query on the right-hand side of your window:
#15 Copy the generated SQL code by clicking on the ‘Copy‘ button:
#16 Paste the copied code in the SQL editor and then click on the ‘Run‘ button:
You should now see the query results in the bottom window, like the one below:
#17 Check the accuracy of this data by navigating to your GA4 property.
Let’s see how many pageviews GA4 reported on June 3, 2023:
From the screenshot above, we can conclude that GA4 reported 3,157 pageviews on June 3, which matches the data in our data table:
So we can safely conclude that our SQL query is correct.
Other articles on GA4 BigQuery
#1 BigQuery Introduction
- How to create a new Google Cloud Platform account.
- How to create a new BigQuery project.
- What is Google BigQuery Sandbox and how to use it.
- Understanding the BigQuery User Interface.
- What is BigQuery Data Transfer Service & how it works.
- How to create data transfer in BigQuery.
- Connect and transfer data from Google Sheets to BigQuery.
- How to access BigQuery Public Data Sets.
- Best Supermetrics Alternative – Dataddo.
#2 GA4 BigQuery Introduction
- Google Analytics 4 BigQuery Tutorial for Beginners to Advanced.
- GA4 Bigquery Export Schema Tutorial.
- GA4 BigQuery – Connect Google Analytics 4 with BigQuery.
- events_ & events_intraday_ tables in BigQuery for GA4 (Google Analytics 4).
- pseudonymous_users_ & users_ data tables in BigQuery for GA4 (Google Analytics 4).
- How to access GA4 Sample Data in BigQuery.
- Advantages of using Google BigQuery for Google Analytics 4.
- Impact of Google Advanced Consent Mode on BigQuery & GDPR.
#3 GA4 BigQuery Data Transfer
- How to Connect and Export Data from GA4 to BigQuery
- How to backfill GA4 data in BigQuery.
- How to overcome GA4 BigQuery Export limit.
- How to Send Custom GA4 Data to BigQuery.
- How to backup Universal Analytics data to BigQuery.
- How to send data from Google Ads to BigQuery.
- How to send data from Google Search Console to BigQuery.
- Sending data from Google Analytics to BigQuery without 360.
- How to send data from Facebook ads to BigQuery.
- How to pull custom data from Google Analytics to BigQuery.
#4 BigQuery Cost Optimization
- Guide to BigQuery Cost Optimization.
- Using Google Cloud pricing calculator for BigQuery.
- Cost of using BigQuery for Google Analytics 4.
#5 Query GA4 BigQuery Data
- How to query Google Analytics data in BigQuery.
- Query GA4 data in BigQuery without understanding SQL.
- Using GA4 BigQuery SQL generator to create SQL queries.
- New vs Returning users in GA4 BigQuery data table.
- GA4 BigQuery Composer Tutorial for ChatGPT.
- How to track GA4 BigQuery Schema Change.
- Calculating Sessions and Engaged Sessions in GA4 BigQuery.
- Calculating Total Users in GA4 BigQuery.
#6 GA4 to BigQuery Dimension/Metric Mapping.
- GA4 to BigQuery Mapping Tutorial.
- GA4 Attribution Dimensions to BigQuery Mapping.
- GA4 Google Ads Dimensions to BigQuery Mapping.
- GA4 Demographic Dimensions to BigQuery Mapping.
- GA4 Ecommerce Dimensions to BigQuery Mapping.
- GA4 Event-Scoped Ecommerce Metrics to BigQuery Mapping.
- GA4 Item-Scoped Ecommerce Metrics to BigQuery Mapping.
- GA4 Revenue Metrics to BigQuery Mapping.
- GA4 Event Dimensions to BigQuery Mapping.
- GA4 Event Metrics to BigQuery Mapping.
- GA4 Geography Dimensions to BigQuery Mapping.
- GA4 Link Dimensions to BigQuery Mapping.
- GA4 Page/Screen Dimensions to BigQuery Mapping.
- GA4 Page/Screen Metrics to BigQuery Mapping.
- GA4 Platform/Device Dimensions to BigQuery Mapping.
- GA4 User-Scoped Traffic Dimensions to BigQuery Mapping.
- GA4 Session-Scoped Traffic Dimensions to BigQuery Mapping.
- GA4 Session Metrics to BigQuery Mapping.
- GA4 User Dimensions to BigQuery Mapping.
- GA4 User Metrics to BigQuery Mapping.
- GA4 Advertising Metrics to BigQuery Mapping.
-
What is GA4 BigQuery SQL generator?
GA4 SQL is a free tool through which you can quickly create SQL queries for your GA4 data.
The GA4 SQL tool is not as powerful as ChatGPT for creating SQL queries, but it is still a good tool for creating decent queries (the ones which do not require a lot of customization) faster.
Consider the following data table:
This data table is for June 18, 2023 which is denoted by 20230618.
Let us suppose you want to query the data which meets the following requirements:
- You want to query data between the date range June 1, 2023 and June 18, 2023
- You want to retrieve the ‘event_date’ and ‘event_name’ columns of the data table.
- You want to sort the values of the ‘event_date’ column in ascending order.
- You want to see only those rows where the value of the ‘event_name’ column is ‘page_view’
- You want to see the values of the ‘event_name’ columns as count of ‘page_views’ event.
The end result should be a data table which shows the total pageviews count for each day from June 1 to June 18, 2023.
Follow the steps below:
#1 Navigate to https://www.ga4sql.com/
#2 Enter your table ID without the * character in the table name field:
#3 Click on the Date Range drop-down menu:
#4 Click on custom date range:
#5 Set the Start Date to 01/06/2023 and the End Date to 18/06/2023:
#6 Remove the Sessions metric by clicking on the cross button next to it:
#7 Select the ‘Event Count‘ metric from the ‘Metrics‘ drop-down menu:
#8 Remove the ‘Session Source Medium‘ dimension by clicking on the cross button next to it:
#9 Select the ‘Date‘ and ‘Event Name‘ dimensions from the ‘Dimensions‘ drop-down menu:
#10 Click on the ‘Filters‘ drop-down menu:
You should now see a screen like the one below:
#11 Set the following filter:
#12 Click on the ‘Sort by‘ drop-down menu:
You should now see a screen like the one below:
#13 Click on the ‘Select Field‘ drop-down menu and then select ‘Date‘:
#14 Click on the ‘Generate Query‘ button:
You should now see the generated query on the right-hand side of your window:
#15 Copy the generated SQL code by clicking on the ‘Copy‘ button:
#16 Paste the copied code in the SQL editor and then click on the ‘Run‘ button:
You should now see the query results in the bottom window, like the one below:
#17 Check the accuracy of this data by navigating to your GA4 property.
Let’s see how many pageviews GA4 reported on June 3, 2023:
From the screenshot above, we can conclude that GA4 reported 3,157 pageviews on June 3, which matches the data in our data table:
So we can safely conclude that our SQL query is correct.
Other articles on GA4 BigQuery
#1 BigQuery Introduction
- How to create a new Google Cloud Platform account.
- How to create a new BigQuery project.
- What is Google BigQuery Sandbox and how to use it.
- Understanding the BigQuery User Interface.
- What is BigQuery Data Transfer Service & how it works.
- How to create data transfer in BigQuery.
- Connect and transfer data from Google Sheets to BigQuery.
- How to access BigQuery Public Data Sets.
- Best Supermetrics Alternative – Dataddo.
#2 GA4 BigQuery Introduction
- Google Analytics 4 BigQuery Tutorial for Beginners to Advanced.
- GA4 Bigquery Export Schema Tutorial.
- GA4 BigQuery – Connect Google Analytics 4 with BigQuery.
- events_ & events_intraday_ tables in BigQuery for GA4 (Google Analytics 4).
- pseudonymous_users_ & users_ data tables in BigQuery for GA4 (Google Analytics 4).
- How to access GA4 Sample Data in BigQuery.
- Advantages of using Google BigQuery for Google Analytics 4.
- Impact of Google Advanced Consent Mode on BigQuery & GDPR.
#3 GA4 BigQuery Data Transfer
- How to Connect and Export Data from GA4 to BigQuery
- How to backfill GA4 data in BigQuery.
- How to overcome GA4 BigQuery Export limit.
- How to Send Custom GA4 Data to BigQuery.
- How to backup Universal Analytics data to BigQuery.
- How to send data from Google Ads to BigQuery.
- How to send data from Google Search Console to BigQuery.
- Sending data from Google Analytics to BigQuery without 360.
- How to send data from Facebook ads to BigQuery.
- How to pull custom data from Google Analytics to BigQuery.
#4 BigQuery Cost Optimization
- Guide to BigQuery Cost Optimization.
- Using Google Cloud pricing calculator for BigQuery.
- Cost of using BigQuery for Google Analytics 4.
#5 Query GA4 BigQuery Data
- How to query Google Analytics data in BigQuery.
- Query GA4 data in BigQuery without understanding SQL.
- Using GA4 BigQuery SQL generator to create SQL queries.
- New vs Returning users in GA4 BigQuery data table.
- GA4 BigQuery Composer Tutorial for ChatGPT.
- How to track GA4 BigQuery Schema Change.
- Calculating Sessions and Engaged Sessions in GA4 BigQuery.
- Calculating Total Users in GA4 BigQuery.
#6 GA4 to BigQuery Dimension/Metric Mapping.
- GA4 to BigQuery Mapping Tutorial.
- GA4 Attribution Dimensions to BigQuery Mapping.
- GA4 Google Ads Dimensions to BigQuery Mapping.
- GA4 Demographic Dimensions to BigQuery Mapping.
- GA4 Ecommerce Dimensions to BigQuery Mapping.
- GA4 Event-Scoped Ecommerce Metrics to BigQuery Mapping.
- GA4 Item-Scoped Ecommerce Metrics to BigQuery Mapping.
- GA4 Revenue Metrics to BigQuery Mapping.
- GA4 Event Dimensions to BigQuery Mapping.
- GA4 Event Metrics to BigQuery Mapping.
- GA4 Geography Dimensions to BigQuery Mapping.
- GA4 Link Dimensions to BigQuery Mapping.
- GA4 Page/Screen Dimensions to BigQuery Mapping.
- GA4 Page/Screen Metrics to BigQuery Mapping.
- GA4 Platform/Device Dimensions to BigQuery Mapping.
- GA4 User-Scoped Traffic Dimensions to BigQuery Mapping.
- GA4 Session-Scoped Traffic Dimensions to BigQuery Mapping.
- GA4 Session Metrics to BigQuery Mapping.
- GA4 User Dimensions to BigQuery Mapping.
- GA4 User Metrics to BigQuery Mapping.
- GA4 Advertising Metrics to BigQuery Mapping.
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