KPI Tree

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 benchmarks
ShopifyE-commerce

Product 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

Return Rate = (Returned Units / Sold Units) × 100

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

Query using MCP
MCP

Pull metrics from Shopify directly through the Model Context Protocol.

Data Warehouse
SnowflakeBigQueryDatabricksRedshift

Connect your existing warehouse where Shopify data already lands.

Professional Services
FivetranSnowflakedbt

Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.

Explore product return rate across integrations

Empower your team to understand and act on Shopify data

Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.

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