Returns have become one of the most pressing challenges facing eCommerce businesses today. What once represented a small fraction of business operations has grown into a complex logistical and financial burden that intensifies dramatically during peak trading periods. Black Friday, Christmas, and January sales create the perfect storm of increased purchasing volume combined with heightened return activity.
Research by Retail Economics reveals that returns reached a staggering £27 billion in the UK in 2024. For online retailers, this translates to lost revenue, increased operational costs, and resource allocation challenges that can make or break seasonal performance.
Behind these eye-watering figures lie two distinct consumer behaviours that are reshaping how customers interact with brands: wardrobing and bracketing. These practices, while different in nature and intent, both contribute significantly to the mounting pressure on returns systems and profit margins.
To effectively manage the returns challenge, retailers need to understand the differences between wardrobing and bracketing.
Wardrobing occurs when customers purchase products with the explicit intention of using them temporarily before returning them for a full refund. This practice represents a form of first-party fraud that significantly impacts retail profitability.
Common examples include:
The scale of this problem is substantial. Research indicates that 26% of shoppers openly admit to wardrobing at least once. This behaviour costs UK retailers an estimated £1.5 billion annually, with fashion and luxury goods categories bearing the brunt of the impact.
What makes wardrobing especially problematic is its fraudulent nature. Customers deliberately misrepresent their purchasing intent, meaning items are effectively "rented" without payment for the depreciation or usage.
Bracketing presents a different challenge altogether. This practice involves customers ordering multiple versions of the same item, typically in different sizes, colours, or styles, with the intention of keeping their preferred option and returning the rest.
Typical bracketing scenarios include:
Recent data shows that 46% of UK consumers admit to bracketing. This trend will continue to accelerate as more shoppers become comfortable with online purchasing and free returns policies.
Unlike wardrobing, bracketing isn't inherently malicious. Most customers who bracket genuinely intend to keep at least one item, and the behaviour stems from the inability to try products before purchasing. Many retailers even tacitly encourage bracketing through generous returns policies and "try before you buy" programmes.
However, bracketing creates significant operational challenges. Each returned item requires processing, inspection, repackaging, and restocking, all resource-intensive activities that strain warehouse operations, particularly during peak periods. The unpredictability of which items will be returned also complicates inventory management and can lead to stockouts of popular sizes or variants.
The scale of returns in modern retail cannot be overstated. For fashion eCommerce, the figures are particularly alarming, with over 30% of online fashion orders in the UK being returned.
Return rates vary significantly across product categories. While footwear and clothing lead the pack, electronics and homewares typically see lower return percentages. However, during discount periods like Black Friday and January sales, these figures can spike dramatically, creating immense pressure on retail operations.
The financial impact of returns extends beyond the obvious refund amount. Research suggests that processing a return costs approximately 66% of the original item's purchase price. For a £50 jumper, that's roughly £33 in handling costs alone before considering any potential markdown if the item cannot be resold at full price.
Beyond these tangible expenses lie significant indirect costs:
Returns create substantial operational challenges:
During normal trading periods, these challenges are manageable. However, during peak season, they can quickly overwhelm even the most sophisticated operations.
Peak season creates a perfect storm for returns management through several compounding factors:
Volume surge: Sales can increase five-fold during peak days, dramatically amplifying return volumes even with stable return rates.
Gift returns: January brings a secondary wave of returns from recipients who didn't want their gifts, often without original packaging or receipts, complicating processing.
Operational strain: Temporary staff lack experience with returns processing, whilst warehouse space allocated for returns gets sacrificed for additional inventory, creating bottlenecks.
Financial pressure: January returns face immediate markdown pressure as retailers transition to new seasonal merchandise, significantly increasing the cost per return.
These combined factors make effective returns management a strategic priority that directly impacts bottom-line performance during the year's most crucial trading period.
Return behaviours aren't uniform across the UK. Significant regional variations and demographic patterns emerge when examining the data, providing retailers with valuable insights for targeted prevention strategies.
London stands out as a particular hotspot for returns abuse. According to research by Retail Economics, 24% of Londoners openly admit to wardrobing, making them more than three times as likely to engage in this practice compared to shoppers in Edinburgh, where only 7.55% admit to wardrobing.
Age has emerged as a significant predictor of return behaviour, with younger shoppers demonstrating markedly different attitudes towards returns:
These figures reveal a generational shift in how returns are perceived. For many younger consumers, liberal return policies aren't viewed as a courtesy but as an entitlement that can be leveraged for personal benefit. This cohort expects free returns, extended return windows, and multiple return options as standard.
Staging - purchasing items solely to create social media content before returning them, represents a new frontier in returns abuse directly linked to influencer culture.
Staging typically follows a predictable pattern:
This practice is particularly prevalent among 18-35 year-olds and creates a challenging detection problem for retailers, as items may show minimal signs of use despite having served their intended purpose.
The motivation behind staging differs from traditional wardrobing. Rather than seeking practical use, stagers pursue social capital such as likes, followers and the appearance of an aspirational lifestyle. This shift represents a fundamental change in how products are valued and consumed in the digital age.
As wardrobing continues to impact retail profitability, forward-thinking businesses are implementing multi-faceted approaches to address this challenge. Effective strategies balance deterrence with maintaining positive customer relationships, using a combination of policy adjustments, technology solutions, and financial measures.
Effective policies explicitly state that items must be unworn with tags and original packaging intact. Many retailers now require customers to acknowledge these terms during checkout, creating transparency and reducing disputes.
Shorter windows (14-30 days) reduce wardrobing opportunities, with 95% of legitimate returns occurring within seven days of delivery. Many retailers use differentiated windows based on product risk and customer loyalty.
Modern systems analyse customer return patterns, create risk scores, and flag suspicious behaviour combinations. These tools become increasingly accurate over time, learning to distinguish between legitimate returns and potential fraud.
Automated systems detect wear patterns, makeup residue, or tampered tags through computer vision, reducing reliance on subjective human assessment whilst speeding up processing.
Modest charges (like H&M's £1.99 fee) create disincentives without penalising occasional returners. When Next implemented paid returns, they saw no sales impact but return rates dropped by 0.5 percentage points.
Higher restocking fees for formal wear, scaled charges for luxury goods, and inspection fees for electronics target high-risk categories. These can be refunded if items are returned in genuinely unused condition.
For persistent offenders, retailers implement warning communications, temporary restrictions, and graduated return fees. ASOS pioneered this approach by flagging excessive returners and limiting future eligibility.
The most effective strategies combine elements from each category, creating layered defence that addresses wardrobing without alienating valuable customers.
Unlike wardrobing, bracketing stems from genuine customer uncertainty rather than fraudulent intent. Effective management focuses on reducing the need for bracketing whilst accommodating legitimate concerns about fit, style, and product features.
Comprehensive sizing information dramatically reduces size-based bracketing through detailed measurement charts, comparative sizing across brands, model information, and fabric properties. ASOS's fit assistant tool exemplifies best practice by matching customers with appropriate sizes based on measurements and similar body types.
Multiple angles, zoom functionality, videos demonstrating fit on different body types, and lifestyle imagery significantly impact purchasing confidence.
Structured feedback including size-specific reviews, fit ratings, and photos from real customers creates invaluable resources for future shoppers making sizing decisions.
Machine learning algorithms analyse purchase history, provide virtual body mapping, and offer proactive size suggestions. Retailers implementing AI-driven guidance report return rate reductions of up to 24%.
Graduated structures reward loyal customers with free returns whilst charging higher fees for excessive bracketing patterns. Fee waivers for exchanges rather than refunds encourage responsible purchasing.
Return policies integrated into loyalty programmes offer extended windows, free returns as tier benefits, and VIP services, transforming returns from cost centres into loyalty drivers.
Personalised messaging highlighting unusual patterns, educational content about environmental impact, and progressive communication help customers recognise problematic behaviour without damaging brand relationships.
Augmented reality enables virtual fitting rooms, furniture visualisation in home settings, and customisable avatars.
Interactive visualisation through 360-degree rotation, customisable features, material simulation, and scale representation enhances understanding, particularly valuable for furniture and homewares.
Predictive technology provides style recommendations, outfit completion suggestions, and personalised "will suit you" indicators based on purchase history, building customer confidence and reducing bracketing necessity.
Unlike anti-wardrobing measures that focus on deterrence, bracketing strategies emphasise customer education and experience enhancement. This approach acknowledges that bracketing stems from legitimate concerns and addresses them proactively through better information, personalised policies, and innovative technology.
The £27 billion returns challenge facing UK retailers reflects fundamental shifts in consumer behaviour, with wardrobing and bracketing creating unprecedented operational pressures during peak season. Understanding the distinction between these behaviours is crucial. Wardrobing requires deterrent measures like security tags and return fees, whilst bracketing calls for enhanced product information and AI-powered recommendations.
Successful returns management distinguishes between fraudulent behaviour and legitimate customer uncertainty. Tiered policies, loyalty-based privileges, and personalised approaches allow retailers to reward good customers whilst discouraging abuse, transforming returns from a cost centre into a competitive advantage.
Don't let wardrobing and bracketing undermine your profitability during the year's most critical trading period. Parcelhub's comprehensive multi-carrier delivery solutions and advanced returns management software help retailers take control of their reverse logistics whilst maintaining exceptional customer experiences.
Contact Parcelhub today to learn how our end-to-end delivery solutions can protect your margins and enhance customer loyalty this peak season and beyond.