Supermetrics published earlier this year ) or develop yourself for the API to transfer these data in a sheet or database that can be connected to Google Data. Studio.
As far as I know, there is no simple way to display this data from Google Analytics, and it would be difficult to link this data to other user interactions on the site, which simplifies task. go with a GMB approach> Database (or Sheets)> Data Studio.
Tips for integrating data that is not automatically integrated with Data Studio? For example, a call tracking platform that is not integrated with Google Data Studio.
Poulton: Many platforms do not connect natively to Data Studio. I've seen the number of connectors increase, I imagine that more and more companies are looking to add a connection here. Many of these platforms, especially in call tracking, integrate Google Analytics natively. They return event data to Google Analytics, which can be linked to customer IDs and unified with the rest of the on-premises user's journey. This is incredibly powerful and allows linking these user actions to other data, such as an attributable source, that can be easily viewed in Data Studio.
This operation is as simple as forwarding call events in Google Analytics from. the third-party platform and visualize them in Data Studio as you would with other event data. In general, if you can automate data transfer in Google Analytics or Google Sheets, there is a simple way to automatically update it in Data Studio.
Can you import top level audiences (for example, loyalty members) into GA and / or Data Studio?
Poulton: On the surface, no, you can not import proprietary IPIs into Google Analytics or Data Studio. However, there is one method that you can use to add this type of data to the users identified on your site with the help of the client ID.
Upon installation, the client ID is not an accessible dimension for correspondence with the imported data. . However, you can create this dimension as a custom dimension and collaborate with your developers to integrate the customer ID that Google Analytics has already created for you. The next step is to insert this value as a hidden field in your conversions and to create a list of key pairs in which you identify the user in your CRM, as well as the client ID and the state of the client (loyal member or not). To do this, you can download this data using the Google Analytics Data Import feature to add this value to users. It is important to note that this is not retroactive and can only go up if you followed the customer ID as a custom dimension.
Once this has been set up, you can refresh your GA data source in Google Data Studio (to make sure you incorporate this new custom dimension) and start importing this data into Google Data Studio . You can use it as a report indicating the difference between loyal and non-loyal customers or as a segment to isolate specific reporting data.
This example is very similar to the pclv example Import Cohort that In our session titled "Making Your Analytical Work More Robust and Smarter".
Have you tried using the "compare to" toggle to switch between data and dashboards?
Poulton: No, and I'm not quite sure what that would do. As far as I know, the "compare to" rocker is intended only for temporal comparisons. When merging the data, we use a key to join two sets of similar data that make sense to be viewed together. If you look at the difference between the two sources, it probably would not make sense to mix them in a dashboard format.
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About the Author
Wendy Almeida is the publisher of the Third Door Media community, which collaborates with Land Search contributors Engine, Marketing Land and MarTech Today.