Getting a look at your loyal customers

There's no single loyalty metric so you're forced to figure out which works best for your store.

For the longest time Repeat Customer Insights has used RFM to measure loyalty, but even within RFM there are different metrics. Raw Frequency? 2-D intersections? 3-D intersections? Modified Frequency? Tripwires? Custom grading algorithm?

It can get complicated to figure out who are loyal customers.

That's why I built the new Who Are Loyal Focus page. It unites those analyses (and a new one) but more importantly, it adds advice on how to use each metric.

That way you can see who it says are loyal, know why they are considered loyal, and get advice on how to reach them. No data scientist required.

It doesn't matter what you sell or the size of your store. Understanding and reaching your loyal customers is going to become more vital and a requirement to your future success.

You should start before your acquisition well runs dry.

Eric Davis

Segment your customers to find the diamonds in the rough

Not all customers are equal but it is difficult to dig through all of your data to find the best customers.
Repeat Customer Insights will automatically analyze your Shopify customers to find the best ones. With over 150 segments applied automatically, it gives your store the analytics power of the big stores but without requiring a data scientist on staff.

Learn more

Topics: Customer loyalty Focus page

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