shopify-admin-return-reason-analysis

You can analyze Shopify return reasons by aggregating data across a chosen date window, grouping it by return reason code, product title, and variant SKU. This approach compares total returns to total orders to identify which products drive the highest return rates for merchandising fixes.

Yes, you can export Shopify return analytics to a CSV or JSON file. The output provides reason and product-level breakdowns, allowing you to review operational data and investigate quality issues across your store's return history.

The best way to identify high return rates by SKU is to group return reasons by variant SKU and compare them against total orders within the same period. This highlights specific products driving returns so you can prioritize merchandising fixes, adjust product content, or update sizing guidance.

Yes, executing GraphQL returns and orders queries with pagination is required to extract Shopify return data. You need authenticated read-only access to returns and orders to run these queries and aggregate the reason data for analysis.

Return reason analysis improves merchandising by identifying whether issues like wrong size, damaged, or not as described cluster around specific SKUs. This allows you to directly adjust product content, packaging, or sizing guidance to reduce future returns.