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

Get a complete view of your customer behavior

The cohort analysis in Repeat Customer Insights will automatically build cohorts for all of your customers. It has the ability to go back through your entire store history so you can get a complete view of your customer behavior.

Learn more

Topics: Customer segmenting Rfm

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