How to Use Return Data1. Improving Product Descriptions: If a significant number of returns are linked to products "not matching the description," it's vital to review images and descriptions to ensure their accuracy and clarity.
2. Quality Control: A considerable percentage of returns due to defects or quality issues indicates that investing in quality control could substantially reduce return rates and enhance customer trust.
3. Customer Segmentation: Analyzing returns due to sizing can reveal the need for more detailed sizing information or a revision of the sizing chart to meet customer expectations.
4. Style and Color Preferences: A high return rate due to style and color suggests that customer preferences may have shifted. Brands should consider these preferences in their new product development and inventory stocking.
5. Analyzing 'No Reason' Returns: Dissecting the reasons behind impulse buys and returns without a given reason can help determine strategies for retaining customers and reducing the number of returns.
Amazon sellers can independently download the FBA customer returns report at
Amazon Seller Central to analyze return reasons.