Using Shopify's Customer segments to find loyal customers

You can use Shopify's updated customer list to get a rough idea of your loyal customers.

First you'll need to decide how to measure their loyalty. For that you can mimic the RFM model and look at:

Using Shopify's fields that'll be the query:

last_order_date >= 90_days_ago AND number_of_orders >= 10 AND amount_spent >= 500

The only problem is where did I get those numbers?

I just made them up.

90 days might be good, but your store might have longer cycles where customers go 300+ days in-between orders.

10 orders might be excessive and take a decade or it might be too low and only account for two months of ordering by a customer.

$500 might be completely off too, that might be 20x your Average Order Value or 1/10th of what a single order is.

To figure out what numbers work for you, you'll have to spend the time to analyze your customer data. You might be able to make guesses but it's going to be difficult to narrow down what loyalty means for your store.

Plus it'll change from year-to-year as your store and customers change.

That's why the full RFM model used by Repeat Customer Insights is better. It'll automatically figure out what values to use for your store and adjust them everyday as new orders come in.

Starting with Shopify's segments to get an idea about your customer data makes sense. Just be careful making decisions based on it without having a proper analysis done.

Eric Davis

Retain the best customers and leave the worst for your competitors to steal

If you're having problems with customers not coming back or defecting to competitors, Repeat Customer Insights might help uncover why that's happening.
Using its analyses you can figure out how to better target the good customers and let the bad ones go elsewhere.

Learn more

Topics: Customer loyalty Customer segmenting

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