Google Analytics 4 has replaced Universal Analytics and for a while many have complained. For this reason it is instead interesting to talk about the new features that have been released recently and that concern segments . In particular the new segment sharing function , which helps when you have to collaborate and you need to have the same data in front of you to be able to draw coherent conclusions.
If you use Google Analytics, you have probably already looked at the main screen of the service several times. What you find in front of you is a set of Tabs through which you can examine what is happening on your site .
Among the most convenient functions is that of czech republic phone number segments. With a segment you can track data relating for example to a type of user or to a type of behavior or even to a particular event. To create segments you can use the reference models that Google Analytics already offers.
Segment Sharing: The New Segments Inside Google Analytics
You can create your report using segments – sos-wp.it
For example, there is a way to know which users are recently active, who has made purchases, who has not made purchases or create custom segments , based on the data you want to work on. A way to keep track of everything you are doing to improve the hold of your business on the public.
Segments have a limitation, however, which has now been solved thanks to the new segment sharing feature . As announced by the Google Analytics bluebird profile, those with Editor attributes or higher can save segments within a property, so that everyone can then see that same segment with the same data.
The segment sharing function therefore allows you to share information with those who work with you and to create an audience that is made up only of these saved and shared segments. To understand the usefulness of the new function you can also refer to the video that was published just recently on the Google Analytics YouTube account and that is part of the course specifically designed to learn how to use Google Analytics as a whole.