Research in Google Analytics 4
Posted: Sun Feb 16, 2025 9:29 am
After checking the data storage settings, let's return to the research block in Google Analytics 4.
Visualization options
List of techniques and visualizations
In the research block you will see a list of sweden telegram data suggested techniques and various visualizations:
Funnel exploration. This technique allows you to create your own funnels based on customized events on your site.
Path exploration. This report shows how a user navigates through your site. You can see what a user does when they start a session or after they add an item to their cart. Interestingly, you can also explore the user journey in reverse: select those who completed a targeted action (such as a purchase) and see what actions they took before that.
Segment Overlay: Allows you to select different audiences and analyze whether they overlap. For example, you can compare segments of new users, mobile traffic users, and users who converted.
Cohort analysis: This method helps you understand what number or percentage of users re-engage with your resource.
LTV (Lifetime Value) – Total user value. Allows you to see the user value in different dimensions, not only in monetary terms, but also, for example, the average time a user spends on the site.
Visualization options
List of techniques and visualizations
In the research block you will see a list of sweden telegram data suggested techniques and various visualizations:
Funnel exploration. This technique allows you to create your own funnels based on customized events on your site.
Path exploration. This report shows how a user navigates through your site. You can see what a user does when they start a session or after they add an item to their cart. Interestingly, you can also explore the user journey in reverse: select those who completed a targeted action (such as a purchase) and see what actions they took before that.
Segment Overlay: Allows you to select different audiences and analyze whether they overlap. For example, you can compare segments of new users, mobile traffic users, and users who converted.
Cohort analysis: This method helps you understand what number or percentage of users re-engage with your resource.
LTV (Lifetime Value) – Total user value. Allows you to see the user value in different dimensions, not only in monetary terms, but also, for example, the average time a user spends on the site.