Returns Abuse in eCommerce: First Party Fraud
The 2026 Guide to Preventing Returns Abuse in eCommerce
Returns abuse is becoming one of the biggest threats to eCommerce profitability. From wardrobing and serial returners to organized abuse rings, merchants are struggling to balance fraud prevention with seamless customer experiences.
In this new Liminal Link Index Report, discover how leading vendors, including Darwinium, are helping enterprises reduce losses with AI-powered fraud prevention, behavioral intelligence, and real-time risk detection.
Download the report to learn:
- Why 90% of merchants want fraud detection embedded directly into return workflows
- How unified data platforms reduce silos across fraud, finance, and customer service teams
- What’s driving the shift toward risk-based return policies and automated decisioning
- Which capabilities matter most when evaluating returns abuse prevention solutions
Prevent Returns Abuse Before It Impacts Revenue and Customer Trust
Returns abuse is evolving fast, and traditional fraud tools are struggling to keep up. As retailers face growing pressure from serial returners, policy abuse, wardrobing, and organized fraud rings, many are looking for smarter ways to reduce losses without creating friction for legitimate customers.
The Returns Abuse in eCommerce report from Liminal explores the trends reshaping fraud prevention and highlights the vendors leading the market in 2025, including Darwinium.
Inside the report:
- Key industry trends driving the rise of returns abuse
- Insights from fraud and returns professionals across eCommerce
- The shift toward AI-powered, risk-based returns management
- Best practices for balancing fraud prevention with customer experience
- Evaluation criteria for leading returns abuse vendors
- How Darwinium helps organizations detect and prevent first-party fraud and returns abuse in real time
Industry insights at a glance
- 90% of merchants want fraud detection delivered through a platform service
- 66% of organizations struggle to share return and refund data across teams
- 62% expect higher customer satisfaction when policy silos are addressed
Key Market Findings
Fraud signals entering return policies
Nearly half of merchants are embedding fraud-detection signals into refund decisions, shifting from a customer-first approach to a balanced loss-prevention approach.
Return fraud projected to rise 9%
Over the next four years, return fraud is expected to climb, yet only 52% of organizations are willing to change return policies to address it.
Vendors expected to grow 33%
Despite platform preference, the average number of vendors is projected to rise 33% over four years as current platforms leave capability gaps.
Unified case management is emerging
55% of organizations are using or considering unified case management platforms to break down silos between fraud, returns, and service teams.
Why Darwinium ranked #1 in strategy
Highest strategy score · 92%
- Device intelligence
Probabilistic device fingerprinting re-identifies serial abusers even after cookie clearing or device resets. - Behavioural biometrics
Keystroke, mouse, and sensor data create unique behavioral signatures across the full customer journey. - Journey analytics
Assesses the full customer lifecycle, not just isolated transactions, to catch patterns others miss.
Platform capabilities
- CDN-edge deployment (Cloudflare, AWS CloudFront, Akamai), no additional integration
- Real-time risk scoring and adaptive authentication for high-risk returns
- Case management portal with fraud alerts and audit trail
- AI red teaming, continuously emulates attacker behavior to harden defenses
- Identified 22,000+ linked accounts in a single click-farm abuse ring
- Serves eCommerce, financial services, fintech, gaming and gambling
Top operational barriers this report addresses
Limited AI adoption
- 80% cite margin pressure as the barrier. This report maps vendors who close the ROI gap.
Customer retention risk
- 67% fear tighter controls will hurt retention. See how leading platforms balance both.
Fragmented data
- Siloed systems cause 66% of escalations to be inefficient and 48% of false positives. Unified platforms fix this.
Download the full report
Highlights
90%
of merchants want fraud detection signals delivered through platform services. Organizations increasingly prefer integrated fraud prevention platforms instead of disconnected point solutions.
66%
of organizations struggle with data silos. Fraud, returns, and customer service teams often lack unified visibility into return behavior and refund activity, creating operational inefficiencies.
80%
AI adoption remains limited despite growing fraud pressure 80% of organizations cite margin pressures as a barrier to adopting AI-powered returns management solutions.
62%
Customer experience remains critical 62% of respondents believe balancing fraud controls with customer-friendly return experiences improves satisfaction and trust.
50%
Risk-based returns management is becoming the future Nearly half of respondents are exploring fraud detection signals and automation to create segmented, low-friction return experiences.