If you have decided to migrate from Adobe Analytics to Google Analytics 360, you may be looking for new ways to generate the types of reports your organization used within the Adobe Analytics infrastructure. This post presents a quick and easy solution for reporting on Google Analytics 360 data in Data Studio in a way that replicates Adobe Analytics’ rules-based approach to data dimension classification.

Defining Calculated Dimensions in Data Studio

Let’s say that you want to look at your daily data using these classifications:

  • Weekend/Weekday
  • Morning/Evening

You can follow four simple steps to calculate these classifications in Data Studio based on standard Google Analytics 360 data:

  1. Connect Google Analytics as a data source in your Data Studio report
  2. Create a calculated dimension
  3. Add this function to create the Weekend/Weekday classification (calculation of day of the week data):
    CASE WHEN REGEXP_MATCH(Day of Week Name, "Saturday|Sunday") 
    THEN "Weekend" ELSE "Weekday" END
  4. Add this function to create the Morning/Evening classification (calculation of hourly data):
    CASE WHEN (REGEXP_MATCH(Hour, '0[0-9]|1[0-1]')) 

Adding the Morning/Evening classification function in Data Studio.

Reporting on Calculated Dimensions in Data Studio

Thanks to Data Studio’s calculated dimensions feature, you can report on any rules-based dimensions that your organization needs:

These line charts indicate session count over different time periods for the AM/PM and Weekday/Weekend dimension values that we calculated in Data Studio.
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Contact us for more questions about migrating from Adobe Analytics to Google Analytics.

About the Author

Patrick Soch
Digital Analytics Consultant
Patrick Soch is a veteran digital marketer with considerable experience in online travel, luxury consumer goods, and e-commerce. He is an analytics power user, using analytics data to adeptly manage and optimize online marketing efforts for profitability. Patrick helps clients translate their business objectives into meaningful KPIs and world-class web measurement implementations that provide actionable data across enterprises.