Once you calculate your Shopify store's average orders per customer, you have the data needed to answer a variety of questions.
Should you design a loyalty program around 5 orders or 10 orders?
When should bonus gifts be added to an order?
Are customers only ordering a second or third time, or are they ordering a dozen times?
Is this customer better or worse than the hypothetical average customer? (When combined with Average Order Value)
What kind of a payback period should your paid acquisition target? (When combined with Average Latency and Average Order Value)
Since the average orders per customer is an average, many customers will order less often and many will order more often. It can serve as a middle-of-the-road baseline just as Average Order Value shows you what a typical order size is.
Learning both of those can make determining potential customer value really easy.
If you want your Average Orders per Customer calculated for you, along with segments by date and different sales channels, it's now included in Repeat Customer Insights.
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.