How to Analyze Peak Website Visits in GA4 BigQuery

💡 Here is how you can determine when users are most likely to visit your website in GA4 Bigquery.

1) Convert 'event_timestamp' into a date object.

You can use a simple text prompt like 'Convert the values of 'event_timestamp' into a date object' in chatGPT.

The formatted 'event_timestamp' may look like the one below:

2024-11-23 07:05:30.985585 UTC

2) Once the 'event_timestamp' is formatted, segment the converted values into ‘Morning’, ‘Afternoon’, ‘Evening’ and ‘Night’.

Following is my definition:

Night is defined as time between 12:00 AM and 6:00 AM.

Morning is defined as time between 6:01 AM and 12:00 PM.

Afternoon is defined as time between 12:01 PM and 6:00 PM.

Evening is defined as time between 6:01 PM and 12:00 AM.

So chatgpt should extract the time part from each 'event_timestamp' and then put them in the following buckets: ‘Morning’, ‘Afternoon’, ‘Evening’ and ‘Night’.

3) Count the total number of pageviews for ‘Morning’, ‘Afternoon’, ‘Evening’ and ‘Night’ to determine when users are most likely to visit your website.

Once you understand the logic, creating a text prompt becomes easy.

The SQL that you see below is entirely created from one large text prompt and is optimized for speed and efficiency.