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 …
Tag: kb repeat customer insights grid
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. …
Give each customer segment a purpose
One way to approach customer segments is to define your segments and then give each one a purpose. First create a segment of customers based on some common behavior behavior. Then reflect and think about their behavior by putting yourself in their place. What do they want? What do you want from them? How can …
How to find the top 1% of your customers using RFM
Recently Richard asked how to find their best 1% customers in Repeat Customer Insights. In the majority of the sources I’ve researched, Recency is the most valuable measurement followed by Recency/Frequency. Some ignore the Monetary one completely, but it has many uses. The big question to start with is, what’s "best"? Spending is useful but …
Uncovering your potential best customers
Finding which sets of customers to target with your marketing messages is important. A customer of Repeat Customer Insights was asking about how to find their potential best customers and if possible, ones who’ve ordered during a specific time. Today, we are trying to identify now who are our potential future best customers based on …
Visualize your entire Shopify customer base with the Customer Grids
With the recent release of Repeat Customer Insights’ Automatic Customer Segmenting feature, I was finally able to add a powerful visualization feature I’ve been wanting for awhile: This is the Customer Grid. It uses the same underlying RFM algorithm that powers the Automatic Customer Segmenting so it’s completely automated. This example compares the Recency and …
How Repeat Customer Insights creates 30+ segments automatically in Shopify
A Repeat Customer Insights customer was asking about how the automatic segmenting works: How does Repeat Customer Insights Define its types, like a "Whale"? The segments are defined based on the 2 of the RFM scores. If you look at the Customer Grid you can see how two scores intersect and define a segment. Each …