Tag: kb repeat customer insights segmenting

Why RFM has no set points that determine a customer’s ranking

Recently a Repeat Customer Insights was asking about what triggers the RFM scores to change, like from Recency 5 to 4. There are no set points or triggers that move customers from one RFM score to another. Rather, RFM ranks each customer against your customer base as a whole and based on where the individual …

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New customer filters for RFM scores released

Repeat Customer Insights now has the ability to filter customers by their RFM scores. Previously the app would use the RFM scores behind-the-scenes but they weren’t shown except in the data export. Great for spreadsheet users, but not great for stores who wanted to browse and explore their customers. I’ve added the option to filter …

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Most valuable 80/20 customer segments for your Shopify store

As a follow-up to my article about which segments to focus on, you can take a more precise approach. Each cell in Repeat Customer Insights’ Customer Grids is about 4% of your customer base. (The grid isn’t strictly 4% though due to how the algorithm works but it’s good for a rule of thumb). That …

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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 …

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How your customers automatically decay with RFM

RFM scores are built from three components: Recency, Frequency, and Monetary. Though they are scored the same, they act differently. Recency is an odd one and can look the most chaotic for some. That’s because Recency will start to decay from the moment a purchase is made and get lower and lower until the customer …

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An ACME catalog of customer segmenting options

There are an infinite number of ways to segment customers. Repeat Customer Insights includes a few of the more effective ones. Which methods you use will depend on your goals and to a lesser extent, your brand. Here’s a few off the top of my head that cover: how recently they’ve ordered how many orders …

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Finding your consistent big spenders in Shopify

In Repeat Customer Insights I was asked: What is the best report to determine most consistent highest spenders? You’ll want to use the Customer Segmenting reports for that. You can also use the Customer Grid as it’s a visual view of the same data and will let you drill down into the details for each …

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