Shopify Metric
E-commerce
Return Rate = (Returned Units / Sold Units) × 100
Product return rate is the percentage of sold units that are returned by customers. It reflects product quality, description accuracy, and how well customer expectations are met.
Full guide: definition, formula, and benchmarksProduct Return Rate
Product return rate is the percentage of sold units that are returned by customers. It reflects product quality, description accuracy, and how well customer expectations are met.
How to calculate product return rate
Why product return rate matters for Shopify users
Returns erode margins through reverse logistics costs, restocking expenses, and lost resale value. High return rates also signal customer dissatisfaction that can damage brand reputation.
Shopify merchants can segment returns by product, reason, and customer type to identify whether issues stem from quality, sizing, description gaps, or other fixable causes.
Understand and act on product return rate with KPI Tree
Connect Shopify return and order data to KPI Tree via your warehouse. Place return rate in a product quality tree alongside customer satisfaction and margin impact.
Assign product and operations ownership with alerts when return rates exceed thresholds for any product, triggering root cause analysis.
Get started with your Shopify data
Pull metrics from Shopify directly through the Model Context Protocol.
Connect your existing warehouse where Shopify data already lands.
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Fulfilment Speed = Average (Shipment Date - Order Date)
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Repeat Rate = (Customers with 2+ Orders / Total Customers) × 100
Customer repeat rate is the percentage of customers who make more than one purchase within a defined period. It measures customer loyalty and the effectiveness of retention and re-engagement efforts.
Explore product return rate across integrations
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