There’s a new metric added to Repeat Customer Insights, Average orders per customer:
This will tell you how many purchases you could expect an average customer to make. Some will make more orders, some will make less, but on average you’ll get this many orders from them.
You can use this along with your Average Order Value and Average LTVs to decide how many resources your repeat customer marketing receives. e.g. High amounts in all three means improvements could have a high payoff.
Average Orders per Customer will also use the date and acquisition source filters so you can compare how time and sales channels impact the customer behavior. Though the date filter is a data limiter so make sure to compare like-to-like (e.g. average number of orders per customer placed in 2021 vs 2020).
If you’d like to find your store’s Average Orders per Customer, or any of the other dozens of metrics, you can install Repeat Customer Insights and it’ll automatically calculate it for you.
Use cohorts to find out who the best customers are in your Shopify store
Repeat Customer Insights will automatically group your customers into cohorts based on when they first purchased. This will let you see how the date customers bought would impact their behavior.