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The GA4 report with your users' path to conversion. Do you know it?

Posted: Wed Jan 22, 2025 6:17 am
by tongfkymm44
GA4 Route Exploration Report
This report is a graphical representation of the most common paths your users take after landing on a website or attending an event.

You will find this report in the Explorations > Route Exploration section. It usually looks like this:

GA4 route exploration report

But the interesting thing is that you start from scratch and never use the fast food email database list one that comes preloaded.

To get the most out of it, you should click on “Start over” on the right side of the menu. Select your conversion event and from there click “back” to see the drop-down menus with the paths.

Measure with us!
If you start from the beginning, you can also find some value in it. For example, you can find out what most users do once they reach the home page.

What metrics and dimensions will we see in these reports?
In these reports, you can only use three metrics for now , and they are more than enough: Active users, total users, and number of events.

These graphs only have 4 nodes. These nodes are the dimensions that separate each part of the path. You can choose between Event Name, Page Title and Screen Name, Page Title and Screen Class, and Page Path and Screen Class.

node types

You can add up to 10 routes. So it allows you to get a fairly broad overview of the processes that occur on your website.

You can also add different breakdown dimensions from the “breakdown” menu. A very popular one is “Device Category”

What is the Google Analytics 4 Path Exploration report for?
If you add the conversion of your website (or the thank you page, for the sake of understanding) as the last event, you will be able to see which pages are the most visited by your users before converting.

This is very interesting and will help you with the following:

Finding your most relevant pages for users when it comes to converting.


Compare paid traffic segments VS organic traffic. Is the funnel longer for users who arrive via paid traffic? Do they need to see more pages?
Detecting possible overly long purchasing processes . With this type of report you can probably find possible loops of certain users who get stuck at some point. A typical example? Discount codes. To be able to see this in the graph you need to activate the option “See only unique nodes”
It can also be used to find e-commerce events that are being sent out in duplicate. To do this, you'll need to do some event-level scanning.
It can also help you find pages with a high bounce rate . Look at this image for example, the difference between the events of the home page and the next most popular one (signing,html) is very large, which means that there are a large number of users who will probably leave the website as soon as they arrive.