Apparel returns are one of the most expensive operational problems in retail and ecommerce. The figures are large enough that journalists and analysts cite them regularly - yet the same statistics appear across dozens of articles without clear sourcing. This roundup consolidates the most-cited data points, attributes each to its original study, and explains what the numbers mean for merchants.
Every figure in this article is attributed to its original source. If you are looking for a practical guide to the technology behind the data, the complete guide to virtual try-on for Shopify covers the mechanics in detail.
How Large Is the US Returns Problem?
The National Retail Federation (NRF) reported that US consumers returned roughly $850 billion worth of merchandise in 2025, equivalent to approximately 16.9% of total retail sales. Within that total, online returns run at a higher rate: NRF data places online return rates near 19.3% of ecommerce sales, meaning roughly one in five items bought online comes back.
These figures underline a structural dynamic: online shopping removes the tactile cues that help shoppers self-filter before buying. The inability to see, feel, and try a product before purchase is not just an inconvenience - it is a systematic cause of post-purchase regret that the returns rate reflects.
What Drives Apparel Returns Specifically?
Apparel returns are driven primarily by fit and style disappointment, not by product defects. McKinsey research published in "Returning to Order" found that approximately 70% of fashion returns are caused by poor fit or style mismatch rather than damage, defects, or incorrect shipments. This is a critical distinction: it means most apparel returns are preventable at the point of purchase, not recoverable after the fact.
McKinsey's analysis also places the apparel category return rate at approximately 24-30% - roughly twice the broader retail average. Each returned item carries reverse logistics, restocking labor, storage, and reduced resale value, often making the total cost per return 2-3x the refund amount alone.
The implication is direct: if 70% of returns are fit- and style-driven, a mechanism that improves pre-purchase aesthetic certainty - without changing price, delivery, or product quality - has a measurable lever to pull.
The Confidence Gap: What Shoppers Say Before They Buy
Survey data from Snap and Deloitte Digital found that 80% of AR-enabled shoppers report feeling more confident in their purchasing decisions when they use augmented reality or virtual try-on tools. This figure comes from Snap's commissioned Deloitte Digital research and is one of the most frequently cited data points in the virtual try-on category.
Confidence here is not a soft metric. In ecommerce, a shopper who feels uncertain at the product page does one of three things: brackets multiple sizes and plans to return the extras, abandons the cart entirely, or completes checkout with low certainty - which directly predicts a higher return probability. The 80% confidence figure reflects the share of try-on users who resolve that uncertainty before checkout rather than after.
Citability Block 1 - Core Returns Statistics (sourced)
The National Retail Federation reported that US consumers returned approximately $850 billion of merchandise in 2025, with online returns running near 19.3% of ecommerce sales (NRF, 2025). McKinsey research in "Returning to Order" found that roughly 70% of fashion returns are caused by poor fit or style mismatch rather than defects or fulfillment errors, and placed apparel category return rates at approximately 24-30% - roughly twice the broader retail average. These two data sets together indicate that the apparel returns problem is large, structurally concentrated in online channels, and driven primarily by factors that occur before the purchase decision rather than after it. The implication for merchants is direct: reducing the return rate in apparel requires intervening at the moment of purchase intent, not in the reverse logistics chain after the item has already come back.
What Happens to Return Rates When Shoppers Use Virtual Try-On?
A Snap and Publicis Media survey of 4,028 shoppers found that 66% of AR shoppers reported being less likely to return a purchase after using virtual try-on or AR tools. This is one of the most directly sourced figures on the returns-reduction effect of try-on technology, and it comes from a large enough sample to carry statistical weight.
Separate studies across retail categories have reported AR and virtual try-on reducing return rates by up to approximately 64% in certain implementations - an observed ceiling from the strongest cases rather than a typical merchant outcome, but it establishes the directional range. (This figure circulates broadly in industry reporting; no single primary study has been independently verified by this publication.)
The mechanism is consistent across sources: a shopper who has previewed how a garment looks on their own body enters checkout with a resolved aesthetic question. The "not as expected" category of returns shrinks when expectations are set accurately at the product page rather than reset at unboxing.
Stat Table: Key Data Points at a Glance
The table below consolidates the key statistics from NRF, McKinsey, and Snap-commissioned research cited in this article. Each figure is attributed to its original source; the 64% returns reduction figure is widely reported but its primary source has not been independently verified.
| Statistic | Figure | Source |
|---|---|---|
| US total merchandise returns (2025) | ~$850 billion | NRF, 2025 |
| Online return rate as % of ecommerce sales | ~19.3% | NRF, 2025 |
| Fashion returns from fit or style issues | ~70% | McKinsey, "Returning to Order" |
| Apparel category return rate range | ~24-30% | McKinsey, "Returning to Order" |
| AR shoppers more confident buying | 80% | Snap x Deloitte Digital |
| AR shoppers less likely to return a purchase | 66% | Snap x Publicis Media, 4,028 shoppers, 2022 |
| Returns reduction ceiling from AR/virtual try-on | Up to ~64% | Widely cited; primary source unverified |
The Cost Stack Below the Refund Line
The headline return rate understates the true cost of an apparel return. When an online order comes back, the merchant absorbs outbound shipping, inbound reverse logistics, restocking labor, inventory carrying costs, and markdown risk if the item cannot be resold at full price - industry analysis consistently places the fully loaded cost at two to three times the face value of the refund.
Industry analysis consistently finds that the fully loaded cost of a return is often two to three times the face value of the refund. On a $60 dress at a 27% category return rate, the fully loaded cost may be $120-180. At that economics, a 10-percentage-point reduction in return rate is not a convenience improvement - it is a margin recovery.
This is why the McKinsey framing matters: if 70% of returns are fit- and style-driven, and if most are preventable at the purchase stage, the investment required to intervene pre-purchase is justified by the cost stack avoided post-purchase.
Citability Block 2 - Virtual Try-On and Returns Reduction (sourced)
Snap and Publicis Media surveyed 4,028 shoppers in 2022 and found that 66% of AR shoppers reported being less likely to return a purchase after using virtual try-on or AR tools. A separate study commissioned by Snap from Deloitte Digital found that 80% of AR-enabled shoppers felt more confident in their purchasing decisions when using augmented reality tools at the point of purchase. Separate retail studies have reported AR and virtual try-on reducing returns by up to approximately 64% in some implementations (widely cited; primary source unverified). The mechanism across all three data sets is consistent: aesthetic preview technology reduces purchases made under unresolved uncertainty about fit and appearance - which McKinsey's "Returning to Order" identifies as the primary driver of apparel returns - by anchoring shopper expectations to an accurate visual representation before checkout rather than after delivery.
Online vs In-Store Returns: Why the Gap Is Structural
Online apparel return rates near 19.3% (NRF, 2025) are substantially higher than in-store rates for comparable categories. The gap is structural rather than behavioral: in a physical store, the shopper tries the garment on before buying and the fit question is resolved before the transaction completes. Online, that question is deferred until after the package arrives - and a portion of those deferred questions resolve as returns.
This is not a delivery problem or a quality problem. It is an information problem: the product page does not provide sufficient information for the shopper to replicate the confidence they would have had in a fitting room. The return rate gap is essentially a measurement of that information deficit.
Virtual try-on exists to close that gap. When the render is photorealistic enough to give the shopper an accurate preview of how a garment will look on their specific body, the online purchase decision more closely resembles the in-store decision.
What the Data Means for Merchants in 2026
The figures above point toward one operating principle: apparel merchants with above-average return rates should identify where aesthetic uncertainty goes unresolved in the purchase journey. If the answer is at the product page, pre-purchase intervention is the correct lever.
Tactics that operate after purchase (better packaging, easier return portals, size exchange incentives) address symptoms without changing the underlying return rate. The McKinsey data on fit- and style-driven returns, combined with the Snap-sourced confidence and return-likelihood figures, argues for an investment logic oriented toward the purchase decision itself rather than the reverse logistics chain.
For specific store-level tactics, reducing apparel returns on Shopify covers the operational steps. For how the underlying technology works, how AI try-on clothes technology operates explains the pipeline.
Frequently Asked Questions
What is the current US apparel return rate?
The National Retail Federation reported that online returns ran near 19.3% of ecommerce sales in 2025. Apparel-specific return rates are higher: McKinsey's "Returning to Order" places fashion return rates at approximately 24-30%, roughly twice the broader retail average. The elevated rate reflects the difficulty of assessing fit and style from product photography alone.
What is the main reason shoppers return clothing?
McKinsey research found that approximately 70% of fashion returns are caused by poor fit or style disappointment rather than defects, damage, or incorrect shipments. This means the majority of apparel returns are preventable at the purchase stage - they result from a shopper buying without sufficient certainty about how the garment will look and fit on their body, not from product or fulfillment failures.
How much did US consumers return in 2025?
The National Retail Federation reported that US consumers returned approximately $850 billion of merchandise in 2025, equivalent to roughly 16.9% of total retail sales. This figure spans all retail categories. The online segment runs at a higher return rate (approximately 19.3% of ecommerce sales) because online purchases lack the pre-purchase fit verification that in-store shopping provides.
Does virtual try-on reduce return rates?
Survey data from Snap and Publicis Media (4,028 shoppers, 2022) found that 66% of AR shoppers reported being less likely to return a purchase after using virtual try-on or AR tools. Separate retail studies have reported returns reductions of up to approximately 64% in some implementations (widely cited; primary source unverified). These are industry data points - results for any individual store will vary based on category, customer behavior, and implementation quality.
Why do online apparel return rates exceed in-store rates?
In-store shoppers try garments on before buying, resolving fit and style before the transaction. Online shoppers cannot, so a portion of purchases are made under aesthetic uncertainty. When the received product does not match the expectation formed from product photography, a return follows. Virtual try-on closes that information gap by giving shoppers an accurate preview of how a garment will look on their own body before they buy.
What does "returns reduction up to 64%" mean for my store?
The approximately 64% figure circulates widely in industry reporting on AR and virtual try-on; no single primary study has been independently verified by this publication. It represents an observed ceiling in the strongest reported cases, not a typical or guaranteed outcome for any individual store. The underlying mechanism - that a shopper who has seen a garment on their own body makes a more informed purchase decision and is less likely to return it - is consistent across all cited research. Your actual result will depend on your category, average order value, current return rate, and how shoppers engage with the try-on tool.
If you are evaluating how virtual try-on fits into your store's returns strategy, Vircab is a Built for Shopify AI virtual try-on app that installs in about ten minutes with no code required. Start your free trial and run a test render on one of your own products before committing.
