I know, it sounds scary. But the true is that it’s not complicated, and once you get the logic behind this report, you can gain lots of useful information out of it. It can help you to gain insights and actionable items so let’s see how and when to use it. First, let’s define it.
Cohort analysis is a subset of behavioral analytics that takes the data from a given platform (e.g. eCommerce site, web app, game etc’) and rather than looking at all users as one unit, it breaks them into related groups for analysis. These related groups (=cohorts), usually share common characteristics or experiences within a defined time-span.
See it in action
In the charts below you can see a popular cohort analysis: It groups customers based on the date when they made their first purchase. Studying the spending trends of cohorts from different periods in time can indicate if the quality of the average customer being acquired is increasing or decreasing in over time. You can also see if your marketing efforts at the time made a difference. In the case below, we can see during 2013 (the circles) it was a slow start, but after a new campaign, that took the first two weeks of March, things got better. As for 2014 (the triangles), we had a good start, but between March and May there was no growth, later during May major improvements in the product boost the spending to a new record. Continue reading