From the course: Google Analytics (GA4): Audience-Building and Segmentation

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Exploring segments based on segment overlap and cohorts

Exploring segments based on segment overlap and cohorts - Google Analytics Tutorial

From the course: Google Analytics (GA4): Audience-Building and Segmentation

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Exploring segments based on segment overlap and cohorts

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- [Instructor] Another method for user analysis is with the cohort exploration technique. The rows group users into cohorts based on an activity during those time periods. The option for that time period will depend on the question that you're trying to answer. When is it most important for users to come back, monthly, weekly, or daily? For a publisher or a news website, for example, daily might be the choice since that category comes with goals of staying top of mind and increasing ongoing frequency. These numbers here represent any event, and to change it to a different count, the return criteria can be edited to a different option like session start. To read this, you can start at week zero. Week zero means that the initial session start happened during that week. Moving to the next column, it shows how many users out of the first column came back the next week, so week one. The last column in this case is the count…

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