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.
#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.
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