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
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.