After clicking on a specific item in Product Analytics, you’ll be able to see metrics that are based on the product.
Metrics:
Returned
The number of times a specific item was returned.
Quantity sold
The number of times the selected 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 = # of items exchanged / # of total items purchased
How this can enhance your business:
Drilling into item-level metrics in Product Analytics helps you pinpoint which products are performing well and which are driving returns or exchanges. By analyzing return and exchange rates alongside quantity sold and return value, you can identify patterns that signal issues with product quality, fit, or customer expectations. This insight allows you to take targeted action—like updating product descriptions, improving imagery, or reevaluating suppliers. Ultimately, it helps reduce return-related costs, boost customer satisfaction, and make smarter inventory and merchandising decisions.
Variants Graph
Filter variants by items sold, return type, and order date to analyze the data you’re looking for.
Graph metrics:
Returned
The number of times a specific variant was returned.
Quantity sold
The number of times a particular variant was purchased.
Return value
The total value of the variant that was returned.
Return rate
Percentage of returned variants from the total number of variants purchased.
Return rate = # of variants returned / # of variants purchased
Exchange rate
The percentage of variants exchanged from the total variants purchased.
Exchange rate = # of variants exchanged / # of total variants purchased
Return Reasons:
Return reasons list the return reasons that are in your return flow for specific items. If multiple variants of one item are selected, the return reasons will adjust to be from those variants only.
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:
Variant-level analytics give you a more precise view of product performance by allowing you to filter and evaluate individual styles, sizes, or colors. Tracking return and exchange rates, alongside quantity sold and return value, helps you spot specific variants that may be causing issues—like sizing inconsistencies or quality concerns. This level of detail enables smarter merchandising decisions, more accurate forecasting, and targeted improvements to product listings. By understanding which variants lead to returns and why, you can reduce costs, enhance the customer experience, and optimize your inventory strategy.