DATA ANALYSIS

How to Group Your Users and Get Actionable Insights With a Cohort Analysis

A quick guide to understanding cohorts and performing a cohort analysis in Tableau.

Byron Dolon
The Startup
Published in
6 min readAug 30, 2020

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Art by bythanproductions

Being a regular at a restaurant is great.

When I started university, my dad told me I should find a restaurant I really liked and eat there every month with some friends. Becoming a regular was supposed to be great because you got to build personal connections with the staff and create a ton of good memories over time.

But how much do regulars actually help businesses?

You might think that because the same people keep coming back to order, they would be the “customer group” that makes up a majority of the restaurant’s sales. However, this intuitive answer isn’t always the case. If you took a fast-food chain near a popular tourist attraction, it could be that the customer group of those who only ordered once contribute far more to sales than the locals who eat there every week.

To answer questions like these, we can turn to cohort analysis. This type of analytics focuses on breaking up the users or customers of a business (or service) into different groups. Members of a cohort will exhibit the same behavior in a specified time range…

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Byron Dolon
The Startup

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