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From the Little Stream Software blog

Regularly analyzing your best selling products is a good idea.

You can go one step beyond that by analyzing how your products lead to customers, specifically high lifetime value customers (LTV). These customers are likely to be some of your best customers so by knowing what they purchase you can prioritize your merchandising around them.

To do this take each product and find which customers ordered it at specific times (e.g. 1st order, 2nd order, etc). Then find out what those customer's LTV is and rank your products based on the Total LTV.

You'll end up with something like this:

Sample Nth customer products

(This is taken from the Nth Product Analysis in the Repeat Customer Insights demo)

Looking at this sample, the Thick Wool Gloves are a key product with both the Average LTV and Total LTV higher than any other product.

This means customers who buy the Thick Wool Gloves in their first order are coming back and spending more money in their return purchases. Those should be promoted heavily and new merchandise developed similar to them (e.g. thin wool gloves, 3-packs, etc)

Best-selling products are still great but add in an analysis like this to find the best-customer producing products.

If you this analysis done for you, it's included in Repeat Customer Insights. It also includes a version that go into variants so you can see which variants are best.

Eric Davis

Use cohorts to find out who the best customers are in your Shopify store

Repeat Customer Insights icon

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.

Install Repeat Customer Insights for Shopify