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
Refine your automated marketing campaigns with better timing
When building any automated marketing campaign that sends messages over time, you need to know how long the campaign should be and how long to delay the messages. The Customer Purchase Latency metrics calculated by Repeat Customer Insights can help you figure out that timing.