Filter products by items sold, return type, order date, vendor, and product tags to analyze the data you’re looking for.
Metrics:
Returned
The number of times a specific item was returned.
Quantity sold
The number of times an specific item was purchased.
Return value
The total value of items that were returned.
Return rate
Percentage of returned items from the total number of items purchased.
Return rate = # of items returned / # of items purchased
Exchange rate
The percentage of items exchanged from the total items purchased.
Exchange Rate = $ value of exchanges / $ value of all returns
Return Reasons:
Return reasons list the return reasons that are in your return flow for all items.
Note: You can filter these stats by numbers and by percentage by clicking the icons at the top right.
How this can enhance your business:
This data helps merchants identify which products are driving the most returns or exchanges, revealing potential issues with product quality, sizing, descriptions, or customer expectations. By analyzing return rates alongside quantity sold and return reasons, merchants can pinpoint problem items and make informed decisions—such as updating product listings, improving images, or discontinuing underperforming SKUs. Monitoring exchange rates also highlights whether customers are finding acceptable alternatives, which can inform inventory planning. Overall, these insights support better product curation, reduce operational costs, and improve customer satisfaction.