unleashing the power of Google Analytics' Cohort

Google defines 'COHORT' as a group of users who share a common characteristic; like 'Acquisition date'; identified by an Analytics dimension. A cohort analysis, hence, is the process of analyzing this behavior of groups of users.

sample Cohort-analysis report

Cohort Type:
GA, only gives the option of Acquisition date, as of now.
This is what goes on the vertical axis.

Cohort Size:
Days, weeks or months

Metric:
This is the metric that is being measured for each cohort.
This could be User retention, Revenue, Session duration, Pageviews, Goal Completions per user, Pageviews per user, Session Duration per user, Revenue per user, Sessions per user, Transactions per user etc.

Date range:
This is the range of data that you want to analyse.

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Cohort report:

the Vertical section:
Shows the count of users, grouped as per their acquisition dates (cohort-type), grouped into weeks (cohort sizes), for last 6 weeks (date range)

the Horizontal section:
Shows last 6 weeks (date range)

the colorful Matrix:
Each row of the matrix shows how did the users acquired (visited your site/app for 1st time) in a given week, behaved (Mertic's behavior) in the coming 6 weeks.
So, in the image above, because we chose to analyze the User Retention metric, in the 1st row, for the visitors acquired in the "26 Feb to 4 Mar" week:
Week 0 is; obviously/always/for-all; 100%
Week 1 is 3.71%, which means that 3.71% of the visitors acquired in the "26 Feb to 4 Mar", got retained ie. came back the following week.


Credits:
Medium.com/the-data-dynasty/the-single-most-overlooked-report-in-google-analytics-yet-most-powerful-6ec90eba243a
Neilpatel.com/blog/cohort-analysis-google-analytics/
Youtube.com/watch?v=N02uDh-7Kcg

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