Tag: cohort analysis

Cohort Reports to see which groups of customers are the best customers

The Customer Cohort report in Repeat Customer Insights segments customers into monthly cohorts based on their first order. Then it tracks the customer’s behavior over-time and reports on the various metrics. Each and every customer is assigned to one cohort based on the date of their first order. Once assigned the app tracks those customers …

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How to read a customer cohort report

Matt asked how to read the cohort report in Repeat Customer Insights: Can you explain how the Customers orders by cohort chart works? Let’s use an example: The app segments customers into cohorts based on the first month they order in. So for example, all of the new customers who first ordered in January 2022 …

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Measuring cohort membership

A customer from Repeat Customer Insights was asking me about customer cohorts: Wanted to understand if in repeat cohorts, customers in the total vertical column are unique or not? So, would the same customer be counted twice if they’re-ordered in another month? The Customer Orders by Cohort report is measuring the number of unique customers …

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Find out if your holiday customers stuck around

We’re now a few months post-winter holiday. That’s plenty of time to see if customers acquired back then end up becoming repeat customers or if they are stuck as new customers. It’s common for holiday-acquired customers to buy and then disappear. It’s rare for them to stick around and make a second purchase. If they …

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How many customers belong to a cohort?

A customer of Repeat Customer Insights was asking about the Cohort report while they were researching their cost to acquire customers (CAC): The customers in cohort 0 – are they new customers or total customers? For each cohort row, the Total column is the total number of customers assigned to that cohort. That’s the same …

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Using new customer acquisitions to find hidden busy seasons

Finding out which months are best for acquiring new customers can help plan your marketing resources. Say for example, you tally up your orders from new customers this year and see this sort of distribution: January 8.8% February 7.9% March 9.2% April 9.5% May 8.8% June 7.3% July 7.3% August 7.1% September 6.4% October 6.9% …

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Unstick your stuck AOVs

You can make Average Order Value (AOV) more useful by segmenting it. Instead of having one AOV for your store as a whole, you have an AOV for each major traffic source, for each major customer segment, or even for customer cohorts. That’ll give you more visibility into what’s going on with them and let …

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