Tag: kb repeat customer insights cohort

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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Breaking down customer acquisition sources for each cohort

Knowing where customers come from is important for customer analysis. When you know which sources create quality customers, you can shift more resources to them and away from low-quality sources. Repeat Customer Insights will now analyze and breakdown which acquisition sources lead to customers on a per-cohort basis. This will help answer the questions “where …

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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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