Today marks the start of a new customer cohort. Customers who ordered last month fall into the November cohort which are usually the early shoppers of the holiday. December’s customers will be the remaining holiday shoppers along with a few minor groups (e.g. self-gifters, the end-of-the-year business shoppers, etc). While the two months overlap a bit, …
Tag: kb repeat customer insights cohort
Calculate the percentage of customers who ordered again using a cohort report
Sometimes you’ll be testing a new idea in your Shopify store and you want to check if it caused customers to order again. This sort of analysis is great for measuring how new customers respond to a New Customer Welcome campaign or any other retention tactic. By looking at a month-based cohort, you can improve …
Using Cohort details to understand why how a cohort of customers is behaving
In addition to looking at cohorts as a whole, Repeat Customer Insights also lets you drill-down into a specific cohort. This can be useful to look at outliers or special cohorts. The November and December cohorts are popular ones to look at when evaluating winter holiday customers, especially to see if they end up coming …
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 …
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 …
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 …
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 …
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 …
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% …
Find early repeat purchases with the updated Customer Orders by Cohort report
An update for the Cohort Report in Repeat Customer Insights has been released. This update changes the Customer Orders by Cohort. Previously the first column, Month 0, would show how many new customers bought in the initial month. This is the same as the cohort size as a whole. That data has now been separated …