Regular Expressions (also known as Regex in Google Analytics and Tag Manager) can help save time and include/ exclude data from your reports.
Regex is now supported in Google Data Studio. However, there are few changes to Regex that classifies it as RE2. RE2 was designed to be faster and more secure.
In this post I will provide you with a few Regex examples that we have created for Google Data Studio and a few differences we have noticed when compared to regular Regex.
When creating a dashboard within Google Analytics you have the option of adding widgets and graphs to visualize your data. Although dashboards in Google Analytics can be very helpful, they don’t always render with as much excitement as in Google Data Studio.
Google Analytics is a powerful tool that makes almost every aspect of a user’s journey available. This is its value proposition, but it’s also one of its handicaps. Few employees in any organization have extensive training for Google Analytics, so finding the exact data to answer their everyday questions becomes vital.