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If you want to reduce returns, start with the reasons. Shoppers send clothes back for a handful of predictable reasons, and most of them trace back to a single moment: the decision on the product page. Here are the seven most common return reasons in online fashion, ranked by how much a retailer can do about them.
1. "It's the wrong size"
The most common reason, and the most fixable. Sizing is not standardised across brands, countries or even product lines. A shopper who is a 28 in one brand of jeans can be a 30 in another. Asked to guess, many shoppers guess wrong.
Fix it: Give shoppers a size recommendation for each specific product, based on information they already have, like a garment they own and love. Don't make them measure themselves.
2. "It fits, but not the way I expected"
The size is technically right, but the jacket is boxier than expected, or the trousers are cropped when the shopper wanted full length. This is a fit problem rather than a size problem, and size labels can't solve it.
Fix it: Show how the item fits compared with something the shopper already owns. Publish garment measurements (length, chest width, rise) and describe the intended silhouette in plain words: "relaxed through the body, cropped at the ankle."
3. "I ordered two sizes to be safe"
This is bracketing: buying the same item in two or three sizes, keeping one and returning the rest. It is a rational response to sizing uncertainty, and it guarantees at least one return per order. We cover it in depth in Article 7: Bracketing.
Fix it: Bracketing falls when shoppers trust a single size. Size recommendations that are visibly specific to them ("based on your favourite shirt, we recommend M") build that trust.
4. "It looks different in person"
Colour, texture, sheen and drape are hard to judge on screen. A "navy" that photographs close to black, or a knit that looks thicker than it is, leads to disappointment on arrival.
Fix it: Shoot products in consistent, colour-accurate lighting. Include close-up fabric shots, video showing movement, and a model's height and size worn alongside each image.
5. "I changed my mind"
Some returns are simply second thoughts. They are harder to prevent, but they are often a fit or expectation problem in disguise. Shoppers who were unsure at checkout are the most likely to change their minds.
Fix it: Reduce uncertainty before purchase. Clear, honest product content attracts the shoppers who will keep the item.
6. "It arrived damaged or faulty"
No product page can prevent this one. It is a quality-control and packaging issue.
Fix it: Track damage returns by supplier and by warehouse, and review packaging for delicate items.
7. "It arrived too late"
An outfit for an event that arrives after the event will come straight back.
Fix it: Show accurate delivery dates at checkout and offer express options in peak periods.
Which returns can you actually prevent?
Reasons 1 to 4 share one root cause: the shopper did not have the information needed to choose the right item in the right size. Those are the returns a retailer can prevent before the order is placed, and they are typically the largest group in apparel.
Add sourced statshare of apparel returns attributed to size or fit, with source
Reasons 6 and 7 are operational problems for logistics and quality teams. Reason 5 sits in between.
How to find your own top return reasons
Industry averages are a starting point, but your returns data will tell you more.
- Make the return form specific. Replace "didn't fit" with options like "too small," "too large," "too tight in one area," and "length wrong."
- Analyse by product, not just category. A single style with a high "runs small" rate is easy to fix with a product-page note.
- Analyse by size. If the smallest and largest sizes come back far more often, the size range or grading may need work.
- Share the data with design. Return reasons are free fit feedback. Teams that use them improve the next season's patterns.
The takeaway
Most clothing returns are not random. They are the predictable result of shoppers guessing at size and fit. Retailers that replace guessing with confident, personalised size guidance prevent the largest group of returns at the source. For the full financial picture, read Article 1: The True Cost of Fashion Returns.
Find out how Virtusize helps shoppers choose the right size the first time. Book a demo
If you want to reduce returns, start with the reasons. Shoppers send clothes back for a handful of predictable reasons, and most of them trace back to a single moment: the decision on the product page. Here are the seven most common return reasons in online fashion, ranked by how much a retailer can do about them.
1. "It's the wrong size"
The most common reason, and the most fixable. Sizing is not standardised across brands, countries or even product lines. A shopper who is a 28 in one brand of jeans can be a 30 in another. Asked to guess, many shoppers guess wrong.
Fix it: Give shoppers a size recommendation for each specific product, based on information they already have, like a garment they own and love. Don't make them measure themselves.
2. "It fits, but not the way I expected"
The size is technically right, but the jacket is boxier than expected, or the trousers are cropped when the shopper wanted full length. This is a fit problem rather than a size problem, and size labels can't solve it.
Fix it: Show how the item fits compared with something the shopper already owns. Publish garment measurements (length, chest width, rise) and describe the intended silhouette in plain words: "relaxed through the body, cropped at the ankle."
3. "I ordered two sizes to be safe"
This is bracketing: buying the same item in two or three sizes, keeping one and returning the rest. It is a rational response to sizing uncertainty, and it guarantees at least one return per order. We cover it in depth in Article 7: Bracketing.
Fix it: Bracketing falls when shoppers trust a single size. Size recommendations that are visibly specific to them ("based on your favourite shirt, we recommend M") build that trust.
4. "It looks different in person"
Colour, texture, sheen and drape are hard to judge on screen. A "navy" that photographs close to black, or a knit that looks thicker than it is, leads to disappointment on arrival.
Fix it: Shoot products in consistent, colour-accurate lighting. Include close-up fabric shots, video showing movement, and a model's height and size worn alongside each image.
5. "I changed my mind"
Some returns are simply second thoughts. They are harder to prevent, but they are often a fit or expectation problem in disguise. Shoppers who were unsure at checkout are the most likely to change their minds.
Fix it: Reduce uncertainty before purchase. Clear, honest product content attracts the shoppers who will keep the item.
6. "It arrived damaged or faulty"
No product page can prevent this one. It is a quality-control and packaging issue.
Fix it: Track damage returns by supplier and by warehouse, and review packaging for delicate items.
7. "It arrived too late"
An outfit for an event that arrives after the event will come straight back.
Fix it: Show accurate delivery dates at checkout and offer express options in peak periods.
Which returns can you actually prevent?
Reasons 1 to 4 share one root cause: the shopper did not have the information needed to choose the right item in the right size. Those are the returns a retailer can prevent before the order is placed, and they are typically the largest group in apparel.
Add sourced statshare of apparel returns attributed to size or fit, with source
Reasons 6 and 7 are operational problems for logistics and quality teams. Reason 5 sits in between.
How to find your own top return reasons
Industry averages are a starting point, but your returns data will tell you more.
- Make the return form specific. Replace "didn't fit" with options like "too small," "too large," "too tight in one area," and "length wrong."
- Analyse by product, not just category. A single style with a high "runs small" rate is easy to fix with a product-page note.
- Analyse by size. If the smallest and largest sizes come back far more often, the size range or grading may need work.
- Share the data with design. Return reasons are free fit feedback. Teams that use them improve the next season's patterns.
The takeaway
Most clothing returns are not random. They are the predictable result of shoppers guessing at size and fit. Retailers that replace guessing with confident, personalised size guidance prevent the largest group of returns at the source. For the full financial picture, read Article 1: The True Cost of Fashion Returns.
Find out how Virtusize helps shoppers choose the right size the first time. Book a demo
If you want to reduce returns, start with the reasons. Shoppers send clothes back for a handful of predictable reasons, and most of them trace back to a single moment: the decision on the product page. Here are the seven most common return reasons in online fashion, ranked by how much a retailer can do about them.
1. "It's the wrong size"
The most common reason, and the most fixable. Sizing is not standardised across brands, countries or even product lines. A shopper who is a 28 in one brand of jeans can be a 30 in another. Asked to guess, many shoppers guess wrong.
Fix it: Give shoppers a size recommendation for each specific product, based on information they already have, like a garment they own and love. Don't make them measure themselves.
2. "It fits, but not the way I expected"
The size is technically right, but the jacket is boxier than expected, or the trousers are cropped when the shopper wanted full length. This is a fit problem rather than a size problem, and size labels can't solve it.
Fix it: Show how the item fits compared with something the shopper already owns. Publish garment measurements (length, chest width, rise) and describe the intended silhouette in plain words: "relaxed through the body, cropped at the ankle."
3. "I ordered two sizes to be safe"
This is bracketing: buying the same item in two or three sizes, keeping one and returning the rest. It is a rational response to sizing uncertainty, and it guarantees at least one return per order. We cover it in depth in Article 7: Bracketing.
Fix it: Bracketing falls when shoppers trust a single size. Size recommendations that are visibly specific to them ("based on your favourite shirt, we recommend M") build that trust.
4. "It looks different in person"
Colour, texture, sheen and drape are hard to judge on screen. A "navy" that photographs close to black, or a knit that looks thicker than it is, leads to disappointment on arrival.
Fix it: Shoot products in consistent, colour-accurate lighting. Include close-up fabric shots, video showing movement, and a model's height and size worn alongside each image.
5. "I changed my mind"
Some returns are simply second thoughts. They are harder to prevent, but they are often a fit or expectation problem in disguise. Shoppers who were unsure at checkout are the most likely to change their minds.
Fix it: Reduce uncertainty before purchase. Clear, honest product content attracts the shoppers who will keep the item.
6. "It arrived damaged or faulty"
No product page can prevent this one. It is a quality-control and packaging issue.
Fix it: Track damage returns by supplier and by warehouse, and review packaging for delicate items.
7. "It arrived too late"
An outfit for an event that arrives after the event will come straight back.
Fix it: Show accurate delivery dates at checkout and offer express options in peak periods.
Which returns can you actually prevent?
Reasons 1 to 4 share one root cause: the shopper did not have the information needed to choose the right item in the right size. Those are the returns a retailer can prevent before the order is placed, and they are typically the largest group in apparel.
Add sourced statshare of apparel returns attributed to size or fit, with source
Reasons 6 and 7 are operational problems for logistics and quality teams. Reason 5 sits in between.
How to find your own top return reasons
Industry averages are a starting point, but your returns data will tell you more.
- Make the return form specific. Replace "didn't fit" with options like "too small," "too large," "too tight in one area," and "length wrong."
- Analyse by product, not just category. A single style with a high "runs small" rate is easy to fix with a product-page note.
- Analyse by size. If the smallest and largest sizes come back far more often, the size range or grading may need work.
- Share the data with design. Return reasons are free fit feedback. Teams that use them improve the next season's patterns.
The takeaway
Most clothing returns are not random. They are the predictable result of shoppers guessing at size and fit. Retailers that replace guessing with confident, personalised size guidance prevent the largest group of returns at the source. For the full financial picture, read Article 1: The True Cost of Fashion Returns.
Find out how Virtusize helps shoppers choose the right size the first time. Book a demo
