- #WHAT DOES THE QUICK ANALYSIS BUTTON LOOK LIKE HOW TO#
- #WHAT DOES THE QUICK ANALYSIS BUTTON LOOK LIKE FREE#
But keep in mind that audiences are not retroactive. Segments are not shared between separate explorations.Īudiences can be used as a dimension in comparisons, thus they can be used in standard reports. Segments cannot be used in standard reports. But if you click the Explore button in the comparison’s sidebar navigation (read the previous chapter), those comparisons will be turned into segments in that particular exploration.
#WHAT DOES THE QUICK ANALYSIS BUTTON LOOK LIKE FREE#
Segments can be used only in Explorations, like Free Form or Funnels.Īudiences cannot be used in explorations (but you can build audiences from segments within explorations).Ĭomparisons cannot be used in explorations directly. This is a totally valid concern and in this chapter, I will try to explain that. If you are just starting to get familiar with the concepts of segments, audiences, and comparisons, you might have some doubts about their differences. Maybe in the future, that will change but as of the moment of writing this blog post, not everything is consistent.Īlso, all comparisons from the standard report become segments in the exploration.Ĭomparisons vs segments vs audiences in Google Analytics 4 For example, if you try to click Explore in Reports > Engagement > Pages and screens, you will notice that some metrics are not transferred over: The reason why I wrote “almost” next to metrics is that not all metrics from standard reports are available in Explorations. Then click the Edit comparison icon. At the bottom of the comparison sidebar, you will find a button Explore.Ĭlick it and you will be redirected to a Free Form Exploration where the same dimensions, metrics (almost), and comparisons will be included. This is available pretty much everywhere except the Reports snapshot, Realtime report, and Overview reports (like Acquisition overview). There is a not-so-visible feature in the comparisons sidebar that you might find interesting. If you want to add more comparisons (or edit the existing ones), click the Edit comparisons icon in the top-right corner of the GA4 interface.Īs I have said before, you are free to navigate between different standard reports and these comparisons will persist.Įxport comparisons (kind of) to Explorations Traffic sources are also compared side-by-side. Users in the last 30 minutes section is now split into two (side-by-side comparison). The line chart of users started showing two line series. Here’s an example of the Reports snapshot with the aforementioned two comparisons (mobile vs desktop). Line charts will start displaying multiple lines/colors, tables will, bar charts, and tables will show side-by-side comparisons. Once you have configured your comparisons, the content of each card (widget will change). They will not be applied to your explorations. But the keyword here is “standard report”.
As you navigate from one standard report to another, they will persist. Now you have two comparisons added to standard GA4 reports. If you remove all comparisons, then GA4 will default back to All Users.Ĭlick Add Comparison again (to add the desktop traffic). Then remove the default All Users option (by clicking X on its label). If you want to fully see it, hover your mouse on that comparison’s label.
In my case, the title of the comparison is cut off. You will see it at the top left corner of the report. This will create and automatically add a new comparison to the report.
#WHAT DOES THE QUICK ANALYSIS BUTTON LOOK LIKE HOW TO#
How to create comparisons in Google Analytics 4? What you will learn in this blog post is that (compared to audiences and regular segments in GA4) comparisons are the least powerful feature, hence not-so-advanced. I have heard/seen some people referring to comparisons as “advanced segments” but to me, that does not make sense. They might remind you a little of advanced segments in Universal Analytics (GA3) but there are some key differences that I will later explain.Īn example of the end result might look like this. Comparisons (as the name implies) allow you to quickly compare different subsets of data in standard reports.