Everything about Cohort Analysis for Ecommerce

Posted by Victoria Elizabeth 11 Sep 13

First off, let’'s define cohorts and cohort analysis.

Cohorts are customer segments separated by time. The customer segments are usually grouped based on behaviour or other qualifying factors that determine the group into which they are placed.

🌟 Click here to check out our latest post on cohort analysis 🌟 

lean analytics cohort chart 2Cohort analysis takes these segments and analyses them for trends and discrepancies over time.

They're very useful for ecommerce analytics; for example, when you want to see churn rate over time, revenue per visit or average order value.

You can't add new users once you've started making your cohort analysis but you can look at historical data over months about certain groups of current users.

The chart above is from Lean Analytics by Alistair Croll and Ben Yoskovitz. Their second chapter on metrics covers all types of comparative analyses, with cohorts being a very important one. As they explain, a major benefit to using cohort analysis is that it will separate growth metrics from engagement metrics, which can diverge during certain stages of the customer lifecycle.

Companies commonly make the mistake of focusing on their steady revenue growth while they are unknowingly losing engagement or repeat customers; cohort analysis will reveal the actuality of your company’s growth and engagement separately.

For instance, subscription etailer XYZ wanted to know whether growth in Average Order Value was a direct sign of marketing campaign ROI, or other factors. After performing cohort analysis - where they divided up subscribers by month - they found that older subscribers were spending less, but because new ones were spending more and masking the smaller spenders, they would never have spotted this discrepancy. In order to ensure that their existing and older customers stayed engaged and spent more, they allocated further resource to marketing, retargeting and discount CTAs on their homepage.

The confusion caused by generalised metrics that take all users into account is a common situation that only becomes clear when carrying out a cohort analysis.

If your ecommerce site is focused on giving your customers the best user experience possible, adopting this type of analysis will take you a long way forward. It will give you direct insight into how your new and old customers are behaving towards your products and site. (How else will you know that there is an engagement opportunity calling out your name unless you identify it first?)

If you are Excel-savvy and want to try out making a cohort graph yourself, watch this handy YouTube video:

Remember, conducting a cohort analysis will help you create a more accurate picture of your business performance and health, which will improve your customers' overall experience, satisfaction and of course, company revenue. To learn more about how to stay customer focused and optimise your ecommerce site, read further about:

Ecommerce Customer Service Lessons from America 

Best Ecommerce Checkout Practices: What Customers Want Today 

Ecommerce Product pages  

 

  

Topics: Ecommerce metrics

Top Posts