One of the final features added to Repeat Customer Insights before the holidays is the automatic comparison of your repeat customer’s behaviors versus your store average.
Many of the other insights compare how your Shopify store performs against industry averages and published statistics.
That’s great for benchmarking but oftentimes your store is too unique to really compare.
That’s why these two new comparisons can be powerful.
They compare how your repeat customers behave versus your store’s averages.
The first launch of these includes comparisons for the Average Order Value and Repeat Purchase Rate, so let’s use one of those as an example.
Say your store has an Average Order Value of $100.
On the 3rd order Repeat Customer Insights detects that your customers are only spending $85 on average though.
That’ll be flagged for you to take a look at.
Then after you’ve worked on things and increased that, the app will turn off that insight automatically once it’s above the storewide Average Order Value.
Best of all, it’ll self-adjust for you. So if you run a promotion that drives up your AOV to $110, the app will find the new weak areas and recommend those to improve.
That’ll make it easier for you to spot the weak areas in customer behavior and decide where to focus your resources and attention on.
Which is a major reason why the app exists, to have it help you make better decisions.
These comparison recommendations can show up on the Customer Purchase Latency report for each of the order rows.
If you haven’t installed Repeat Customer Insights yet, it’s an easy way to get this advice and analysis on your customer behavior.
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.