Essential data showing how ecommerce brands can understand, measure, and reduce product returns across every major category

 

Product returns now represent one of the largest operational challenges in ecommerce. Total U.S. retail returns were estimated at $849.9 billion in 2025, representing 15.8% of all retail sales. For DTC brands and Shopify merchants, understanding where your return rate stands relative to industry benchmarks is the first step toward building a more efficient post-purchase operation. Platforms like Kodif’s Resolution Agent help brands automate returns, exchanges, and refunds directly within customer conversations, turning a cost center into a retention opportunity.

 

Key Takeaways

• Online return rates are nearly 3x higher than in-store. Using sales data, online returns equaled 24.5% of online sales compared with 8.72% for in-store sales.
• Apparel has one of the highest return rates. Clothing return rates range from 15% to 40% depending on sales channel, with fit and sizing among the main drivers of online apparel returns.
• Processing costs add up quickly. A modeled estimate puts return-processing costs at $20–30 per item, with actual costs varying by category, item value, and resale recovery.
• Size/fit is the top apparel return driver. In Coresight Research’s U.S. apparel survey, 53% of respondents cited size/fit as the top reason for online apparel returns, highlighting the opportunity for better product information and sizing technology.
• Free returns strongly influence purchase decisions. 82% of consumers said free returns were an important consideration when shopping online.
• AI is widely used in returns fraud detection. 85% of merchants say they use AI or machine learning in their returns process to spot and fight fraud.

 

Understanding Return Rates: What’s Considered ‘Normal’?

Before diving into category-specific benchmarks, it helps to establish what constitutes a typical return rate across ecommerce as a whole. The definition of “normal” has shifted dramatically since 2019, and brands need updated baselines to measure their performance accurately.

 

1. Average ecommerce return rate stood at 19.3% in 2025

The overall online return rate was approximately 19.3% of ecommerce sales in 2025. This figure represents a baseline that is significantly higher than pre-pandemic levels. For brands managing these volumes, automation solutions streamline returns processing while protecting margins. The elevated rate reflects permanent shifts in shopping behavior and consumer expectations around online purchasing flexibility.

 

2. Online purchases were returned at nearly triple the in-store rate

Using 2024 sales data, Capital One Shopping reports online returns equaled 24.5% of online sales compared with 8.72% for in-store sales. This gap exists because online shoppers cannot physically examine products before purchase, leading to more fit, quality, and expectation mismatches. The inability to touch, try, or see products in person creates inherent uncertainty that drives return behavior across all categories.

 

3. The overall U.S. retail return rate doubled between 2019 and 2021

The overall U.S. retail return rate rose from 8.1% to 16.6% between 2019 and 2021. Brands managing higher return volumes can use automation solutions to streamline refunds and returns. This dramatic increase forced retailers to rethink their entire post-purchase strategy and invest in technology that could handle the surge in return processing demands.

 

4. Holiday return rates were 7.59% higher

For the 2025 holiday shopping season, retail return rates were expected to be 7.59% higher than during the rest of the year, with an estimated 17% of holiday purchases returned. January consistently sees high return volumes as gift recipients exchange unwanted items. Brands need staffing, inventory management, and customer service capacity planning that accounts for this annual surge in returns activity during the post-holiday period.

 

Apparel and Fashion: High Hopes, High Returns

Fashion and apparel consistently lead all product categories in return rates. The subjective nature of fit, combined with size variations between brands, creates an environment where customers often purchase with the intention of keeping only a portion of their order.

 

5. Apparel return rates can reach 40%

Clothing return rates range from 15% to 40% depending on the sales channel. Coresight Research estimated the average U.S. online apparel return rate at 24.4% for the 12 months ended March 2023. The subjective nature of fit and style preferences, combined with the inability to try items before purchase, makes apparel inherently susceptible to high return rates that exceed many other product categories.

 

6. 75% of online consumers have returned clothing due to fit issues

Three-quarters of shoppers report returning clothing because it didn’t fit, making sizing the dominant driver in fashion returns. This problem compounds when customers shop across multiple brands with inconsistent sizing standards. Even within a single brand, sizing can vary by style, cut, or manufacturing batch, creating uncertainty that drives customers to order multiple sizes.

 

7. 56% of consumers practice bracketing when shopping for apparel

More than half of online shoppers practice bracketing, buying multiple items in different sizes or colors with the intention of keeping only one. This try-before-you-buy behavior is now a standard shopping pattern, particularly among younger consumers. Bracketing has become so normalized that many shoppers view it as the solution to sizing uncertainty rather than an exceptional behavior.

 

8. Footwear return rates sit near 27%

Shoe purchases see typical online return rates near 27%, driven primarily by fit and comfort issues that customers cannot assess without physically trying the product. Size variations between brands further complicate online footwear purchases. Width, arch support, and toe box dimensions add complexity that makes shoe sizing even more challenging than apparel. For fashion brands managing high return volumes, returns automation can execute eligible transactions directly within customer conversations rather than routing shoppers to separate portals.

 

Electronics and Gadgets: When Tech Doesn’t Click

Electronics maintain some of the lowest return rates across ecommerce categories. Higher price points and more standardized specifications make purchase decisions more deliberate, while technical complexity creates barriers to frivolous returns.

 

9. Electronics maintain return rates of 5–10%

Consumer electronics generally experience return rates between 5% and 10% across retail channels, below typical apparel return rates. Online electronics returns can run somewhat higher depending on the methodology and product mix. The higher price points and more deliberate purchase decisions characteristic of electronics shopping contribute to these lower return rates compared with fashion and apparel categories.

 

10. Buyer’s remorse and defects drive electronics returns

Unlike apparel, electronics returns stem primarily from defects and buyer’s remorse, along with compatibility issues, rather than fit or appearance concerns. The technical nature of these products means returns often require more complex verification and processing workflows. Retailers must inspect returned electronics for functionality, damage, and completeness before determining whether items can be resold.

 

Home Goods and Furniture: Big Purchases, Big Returns

Home products present unique return challenges due to size, weight, and the difficulty of visualizing items in a specific space. Shipping costs for bulky items naturally suppress frivolous returns, but logistical complexity makes processing more expensive when returns do occur.

 

11. Home goods see return rates of 5–15%

Return rates for home goods and hardware range from 5–15%, while furniture benchmarks can vary depending on the product and methodology used. High return shipping costs discourage customers from initiating returns for large items. Color, scale, and style mismatches drive many home goods returns, as customers struggle to visualize how products will look in their specific spaces.

 

12. 20% of returns result from shipping damage

Approximately one in five returns occurs because of damaged products. For home goods and furniture, damage can be particularly costly due to the size and fragility of items. Damage claims require different processing workflows than standard returns, often involving carrier claims, photo documentation, and immediate replacements rather than return-to-warehouse processing. Brands selling home goods benefit from delivery claims automation that can resolve eligible damage claims directly within customer conversations without requiring separate claims portals.

 

Beauty and Personal Care: Delicate Returns

Beauty and skincare products maintain some of the lowest return rates in ecommerce. Hygiene concerns, product testing limitations, and the personal nature of cosmetics create natural barriers to returns that other categories lack.

 

13. Beauty and skincare products see return rates of 4–10%

Cosmetics and personal care experience return rates between 4% and 10%, significantly below many other categories. Many retailers restrict beauty returns to unopened products, further suppressing return volume. Hygiene regulations and retailer policies create natural friction in the returns process that doesn’t exist for categories like apparel or electronics.

 

14. Cosmetics and body care returns average about 9%

Cosmetics and body care products have a return rate around 9%, according to UpCounting’s category benchmark. This reflects both retailer policies and customer reluctance to return opened personal care items. The personal and hygienic nature of these products creates psychological barriers to returns that supplement the policy-driven restrictions many beauty retailers maintain.

 

Food and Beverage: Perishable and Precise Returns

Food and beverage ecommerce faces unique return dynamics. Perishability limits traditional return options, while quality concerns require rapid resolution to maintain customer trust.

 

15. Food and beverage returns average 12%

Consumable products experience return rates around 12%, driven primarily by quality issues, incorrect orders, and damaged packaging rather than the fit and preference concerns that dominate other categories. The perishable nature of many food and beverage products means returns often cannot be restocked, making each return a complete loss rather than a potential resale opportunity.

 

16. Accessories maintain return rates around 12%

Non-clothing accessories, including bags, jewelry, and other items, experience return rates around 12%. This places accessories in the middle of category benchmarks. Accessories avoid the extreme sizing challenges of apparel while lacking the standardization of electronics, creating moderate return rates that reflect their position between highly variable and highly standardized product categories.

 

Consumer Behavior Driving Return Patterns

Understanding why customers return products is essential for developing effective reduction strategies. Behavioral patterns have shifted significantly, with intentional over-purchasing now a standard shopping practice.

 

17. 51% of Gen Z shoppers admit to bracketing

More than half of Gen Z consumers, or 51% of Gen Z, report purchasing multiple sizes, colors, or styles with the intention of returning one or more items. This generational behavior contributes to return volumes among younger shoppers. The normalization of bracketing among younger consumers makes it an important factor for retailers tracking category-level return rates.

 

18. Gen Z shoppers average 7.7 online returns

Gen Z shoppers made an average of 7.7 online returns over 12 months in the cited research. This pattern reflects both higher ecommerce adoption among younger shoppers and different expectations around the shopping experience. Gen Z consumers often view returns as a normal part of online shopping rather than a last resort.

 

19. 71% of consumers avoid stores after a negative return experience

Customer loyalty depends heavily on return experience quality. 71% of consumers avoid stores where they have had a negative return experience, making seamless returns processing a retention imperative. A single negative return experience can damage customer relationships that took significant acquisition spending to build, making returns processing quality a critical competitive differentiator.

 

The Cost of Returns: Why Automation Matters

Processing returns creates significant operational costs that erode margins. Understanding these economics helps justify investment in automation and prevention strategies.

 

20. Estimated return-processing costs are $20–30 per item

A modeled estimate puts processing a single return at between $20 and $30 per item. Actual costs vary by category, item value, and how much returned inventory can be resold at full price. This includes inspection, restocking, customer service labor, and reverse logistics expenses. For high-volume retailers, these per-unit costs compound into millions of dollars in annual returns processing expenses.

 

21. NRF estimates 9% of 2025 returns were fraudulent

NRF reports that 9% of all returns were fraudulent in 2025. Return fraud remains an operational challenge for retailers. Fraudulent returns include wardrobing, receipt fraud, stolen merchandise returns, and other schemes that represent pure loss to retailers. The need to balance fraud prevention with customer experience creates tension in returns policy design.

 

22. Virtual try-on technology can help reduce size-related returns

Augmented reality and virtual fitting room technology can help address size and fit uncertainty, a major driver of apparel returns. Coresight Research notes that virtual try-on and sizing have the potential to improve purchase confidence and reduce returns. AR try-on experiences can help customers make more informed purchase decisions by improving how they assess products before buying.

 

How Kodif Transforms Returns from Cost Center to Retention Opportunity

Managing returns effectively requires balancing prevention, efficient processing, and customer experience. The brands seeing the strongest results combine all three approaches through technology that addresses root causes while automating resolution.

 

Prevention strategies that reduce unnecessary returns:

 

• Detailed size guides with brand-specific measurement instructions
• Customer review highlights showing real fit experiences
• High-quality product imagery from multiple angles
• AR try-on experiences for fashion and home categories

 

Processing automation that protects margins and loyalty:

 

• AI agents that handle returns conversations end-to-end
• Instant eligibility checks against policy rules
• Store credit and exchange options that retain revenue
• Direct integration with order management and shipping systems

 

Traditional post-purchase platforms provide transaction rails but often lack conversational AI intelligence. Meanwhile, API-layer AI CX platforms can answer questions but may lack the transaction-system access required to execute every post-purchase action directly.

 

Kodif’s platform combines both capabilities. The Resolution Agent executes actions like issuing refunds, processing exchanges, and providing store credit directly within customer conversations. For subscription brands, the Retention Agent applies the same principles to prevent churn through pause, skip, frequency, and discount actions.

 

Research on lenient return policies shows that return-policy design can influence consumer purchase and return behavior, demonstrating that return policy is not just a cost center but can also affect purchasing decisions when paired with efficient execution.

 

Frequently Asked Questions

What is a good return rate for ecommerce?

A “good” return rate depends heavily on your product category. The overall ecommerce average was around 19.3% in 2025, while clothing return rates can range from 15% to 40% depending on the sales channel and consumer electronics generally range from 5% to 10%. The key is measuring your rate against category-specific benchmarks and tracking improvement over time rather than comparing to cross-category averages.

How does return rate vary by product category?

Return rates vary dramatically by category. Clothing ranges from 15% to 40% depending on the sales channel, followed by footwear at around 27%. Home goods and hardware typically fall around 5–15%, while consumer electronics are generally 5–10% and beauty products remain among the lowest-return categories. These differences reflect the nature of each purchase decision and the ability to assess product suitability before buying.

Can improving post-purchase CX reduce return rates?

Yes, though the impact comes through multiple channels. Better product information and sizing tools prevent returns by helping customers make accurate purchase decisions. Efficient returns processing improves customer satisfaction, increasing lifetime value even when returns occur. Offering exchanges and store credit instead of refunds retains revenue that would otherwise leave the business.

What role does AI play in managing product returns?

AI serves two functions in returns management: prevention and processing. For prevention, AI powers virtual try-on experiences and personalized size recommendations that reduce sizing-related returns. For processing, AI CX agents can handle returns conversations, check eligibility against policies, and execute transactions like refunds, exchanges, and store credit issuance without human intervention.

What are common reasons for high return rates in fashion?

Sizing inconsistencies between brands, subjective fit preferences, and the practice of bracketing (buying multiple sizes to try on) drive fashion return rates. 75% of consumers have returned clothing because it didn’t fit, and 56% practice bracketing. These behavioral patterns make some level of returns inevitable in fashion ecommerce.