Comparing the Customer Grids in Repeat Customer Insights can help you spot customer acquisition issues. The New and Promising New segments include customers who have only purchased one time. Their main difference is how recently they purchased. Comparing them month-to-month, you’ll want to check their counts. If the counts are increasing, you’re acquiring more new …
Tag: kb repeat customer insights grid
Discover if your customers are becoming more loyal over time
One question I hear a lot is: are customers becoming more loyal? Making that question easy to answer was the basis that drove the new Customer Grid compare I added to Repeat Customer Insights. Previously you’d need to consult a variety of metrics to measure loyalty. Repeat Purchase Rate for retention, customer counts to know …
Released: compare how your customer segments have changed over time
I’m happy to announce a new Customer Grid analysis for Repeat Customer Insights. Compare Historic Customer Grids A few months back I released the first part of this with the Customer Grid History. That allows you to look back on how your customers were segmented historically in each of the various Customer Grid segments. This …
See how your customer segments have changed with the Customer Grid History
There’s been a suite of analyses I’ve wanted to add to Repeat Customer Insights since first reading them. I quietly launched the first back at the beginning of September but I’ve been watching its performance before officially announcing it. Eagle-eyed customers might have spotted it already. I’m calling it the Customer Grid History and it’s …
Giving discounts to your best repeat customers
A Repeat Customer Insights customer was asking about using loyalty discounts and how that could impact customer behavior. Loyalty is mainly measured by the Frequency score in RFM with the Recency showing a bit of influence too. It makes sense, the more times a customer orders then more likely they are loyal. And the more …
How is a Shopify customer assigned automatic segments?
Recently a subscriber was asking how the Customer Grid in Repeat Customer Insights knows which segments to give to each customer. There are three Customer Grids in the app: Recency-Frequency (RF) Grid Frequency-Monetary (FM) Grid Recency-Monetary (RM) Grid Each grid combines two parts of the RFM scores. One score is for the vertical columns, one …
How RFM is used by the Customer Grid to segment customers into behavior groups
A Repeat Customer Insights customer was asking how the app creates the 2-D customer grid and the customer segments. The app uses RFM to score each customer from 1 to 5 across three different criteria: Recency, Frequency, and Monetary. The Customer Grid takes two of each of those criteria and lays them out in a …
How to identify, track, and retain repeat customers in Shopify
A Repeat Customer Insights customer was asking me last week how to identify, track, and keep their high-repeat buyers. My answer is specific to the app but you can still follow it if you have a way of measuring customer purchases and grading them by how recently and frequently they order. The app uses the …
Better customer segmenting by looking at more than one analysis
When you’re marketing to your best customers, how do you decide who is the best? Is it based on how much they spend? Or how many times they’ve ordered? Or how long ago they last ordered? Each of those is a component of the RFM algorithm but it doesn’t give you a straight answer. That’s …
The segment types Repeat Customer Insights creates automatically for your Shopify store
A Repeat Customer Insights customer was asking about the different segment types and sizes. Since each store has a couple hundred segments created automatically, it can be difficult to know how they work. One set of segments comes from the RFM algorithm. Each Recency (R), Frequency (F), and Monetary (M) metric is scored from 1-5. …