Surviving the relatives

When analyzing your customers, it's important to compare how they perform relative to the other customers.

If you have a customer who has spent $1,000 in their lifetime, would you consider them a good customer?

It's hard to answer that.

$1,000 sounds like a lot.

But if your average order is $800, that's not even two orders so they aren't great.

It's a different story if your average order is $50 or $20,000.

The RFM algorithm in Repeat Customer Insights helps to do these relative comparisons. It doesn't care what your actual numbers are, only how they compare to the others.

$1, $100, or $1,000 orders don't matter to it.

1/100, 1/10, or 5x of your average order amounts are what matters.

That's how Repeat Customer Insights can work well for large Shopify Plus stores as well as smaller, side businesses. The algorithm self-adjusts automatically for you.

If you haven't installed yet, it might be worth a look. It comes with a free trial and I bet you'll learn something new about your customers after installing.

Eric Davis

Learn which products lead to the customers who spend the most

You can use the First Product Analysis in Repeat Customer Insights to see which products lead to the customers who spend the most. Going beyond best sellers, it looks at the long-term purchasing behavior of your customers.

Learn more

Topics: Customer segmenting Rfm

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