Most senior analysts and product managers are familiar with the concept of cohort analysis but it is still foreign to many analysts and decision makers. Cohort analysis is a powerful tool that has to be leveraged by companies hoping to survive and thrive.
My goal with this post is for it to be your one stop shop for everything related to cohort analysis. This is the first version of the post but I plan to keep it updated.
Version 1 contains 40 links to different resources related to cohort analysis. These 40 resources are split into two lists. The first list contains links to 32 pieces of content on different blogs, YouTube and Slideshare. The second list contains 8 questions posted on Quora.
If you have any questions related to cohort analysis, or content you'd like to see in this post, then please comment below.
Cohort analysis is a subset of behavioral analytics that takes the data from a given dataset (e.g. an eCommerce platform, web application, or online game) and rather than looking at all users as one unit, it breaks them into related groups for analysis. These related groups, or cohorts, usually share common characteristics or experiences within a defined time-span. Cohort analysis allows a company to “see patterns clearly across the life-cycle of a customer (or user), rather than slicing across all customers blindly without accounting for the natural cycle that a customer undergoes.” - Wikipedia
Any resource missing from the lists above? Write them in the comments below so I can review and update.