Fighting Holiday Fraud: Smart Prevention Strategies for Retailers

Retail & Ecommerce

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The holiday season presents a prime opportunity for retailers, but it comes with significant risks. While consumer spending spikes, so does the potential for fraud. For e-commerce and retail businesses, higher transaction volumes create more complexity, and fraudsters are becoming increasingly sophisticated. As shoppers flock online, retailers must contend not only with operational challenges but also with threats like account takeovers, return abuse, and chargebacks.

Let’s unpack some of the key fraud trends retailers face during the holiday season, assess the financial impact of these risks, and outline a strategic playbook to protect your business while keeping loyal customers happy.

What drives the holiday fraud surge?

Holiday shopping brings a surge of orders and a rush to fulfill them, which naturally creates more opportunities for fraud. Add seasonal staff, special promotions, and complex fulfillment options, and the risk climbs even higher.

  • More orders in less time
    The holiday rush drives a surge in sales, putting pressure on both systems and staff. With less time to review each order carefully, manual checks can be rushed or skipped, giving fraudsters more chances to get through.
  • Transaction Surge Creates Noise
    The massive uptick in sales volume between Thanksgiving and Cyber Monday amplifies risk. More orders mean more opportunities for fraudsters to hide among legitimate shoppers.
  • Operational Strain & Seasonal Staffing
    Retailers often rely on temporary staff during this period. With high volumes, verifying orders and catching suspicious behavior becomes harder.
  • Generous Promotions & Return Policies
    To win holiday shoppers, many retailers offer deep discounts, stackable coupons, buy-one-get-one deals, and extended return windows. But these incentives can be gamed — especially by fraudsters.
  • Complex Fulfillment Channels
    The rise of omnichannel options like BOPIS (buy online, pick up in store), curbside pickup, and same-day delivery adds verification risk. Fraudulent orders can be placed online and picked up in person, creating new attack vectors.
  • Distracted customers
    Shoppers rush to grab deals, click links without thinking much, and often reuse passwords, creating easy openings for fraudsters.

Common Types of Holiday E-Commerce Fraud

Holiday shopping brings out a wide range of fraud schemes, from stolen accounts to tricky returns. Understanding the most common types can help retailers spot risks before they turn into costly losses.

  • Account Takeover (ATO) & Credential Stuffing
    During the holidays, fraudsters ramp up bot-driven credential stuffing attacks to break into customer accounts and steal loyalty points, saved cards, and personal data. With shoppers logging in more frequently for deals, ATO attempts blend in easily and can lead to costly chargebacks and frustrated customers.
  • Card-Not-Present (CNP) Fraud
    Online holiday sales make CNP fraud one of the biggest risks for U.S. retailers. Criminals test stolen cards with small purchases before targeting higher-value items, taking advantage of overloaded fraud teams and tight delivery windows where manual review becomes harder.
  • First-Party / Friendly Fraud
    Friendly fraud spikes during the season as some shoppers dispute legitimate charges, claim non-delivery, or request refunds for items they received. These soft fraud cases drain margins, increase chargebacks, and put retailer and issuer relationships at risk.
  • Return Fraud & Return Abuse
    Extended holiday return windows create opportunities for wardrobing, returning worn or different items, and false item-not-received claims. With return volumes surging, these schemes quietly cost U.S. retailers billions each year.
  • Promotion & Coupon Abuse
    Fraudsters exploit holiday discounts by creating multiple accounts, scraping promo codes, or stacking offers in unintended ways. While this type of abuse does not always trigger chargebacks, it erodes margins and skews marketing performance.
  • Device & Purchase Behavior Anomalies
    Unusual device activity such as rapid checkout attempts, repeated login failures, or multiple accounts tied to the same device often signals automated fraud during peak shopping days. Retailers that monitor these patterns can catch risky orders before they ship.

The hidden cost: Reputation and trust damage

Fraud isn’t just about direct losses and chargebacks. It quietly eats away at your brand:

  • False declines: When genuine customers get blocked or challenged too aggressively, they feel insulted and leave.
  • Public complaints: Social media amplifies stories about hacked accounts or “my order was cancelled for no reason”.
  • Lost lifetime value: Shoppers who don’t trust your site will not come back next holiday season – and will tell their friends.

Practical Strategies to Prevent Holiday E-Commerce Fraud

You don’t need a dozen new systems to protect your store. Focus on a few high-impact moves:

  • Strengthen Identity and Login Security:
    Add risk-based checks for new devices, unusual locations, or suspicious behavior. Encourage two-factor authentication and clear password guidance.
  • Use Layered Checkout Checks:
    Combine payment data, device signals, and smart rules. Apply lighter checks for trusted customers and tighter checks for new shoppers.
  • Monitor Returns and Chargebacks:
    Flag repeated “item not received” or “not as described” claims. Use return and dispute patterns to update your fraud rules.
  • Protect Your Brand and Channels:
    Watch for fake websites, suspicious domains, and unofficial social accounts. Audit affiliates and influencers, cutting off risky traffic quickly.
  • Leverage Real-Time Fraud Analytics:
    Use real-time analytics to spot anomalies like rapid transactions, mismatched locations, or unusual device behavior. Detecting risk early helps stop fraudulent orders before they ship.

What Success Looks Like

If done right, a holiday fraud-prevention program should deliver:

  • Reduced Fraud Losses: A drop in chargeback volume, return fraud, and loss from first-party abuse.
  • Lower False Declines: Protecting legitimate holiday shoppers by minimizing friction.
  • Faster Order Throughput: Because fraud screening is intelligent and automated, not just manual.
  • Strengthened Trust: Customers feel secure, returns happen smoothly, and your brand reputation remains strong.

Conclusion:

Holiday fraud isn’t simply a cost of doing business, it’s a critical threat to profitability, operations, and customer trust. But for U.S. retail and e-commerce companies, the good news is that it’s controllable. By building layered fraud defenses, tuning your risk models for holiday behavior, hardening fulfillment, and tackling return abuse head-on, you can defend your margins without alienating your customers.

As the holiday season approaches, now is the time to audit your fraud posture, sharpen your playbook, and ensure your business is ready not just to sell more, but to protect more.

Frequently Asked Questions (FAQs)

Fraud rises because there’s more online shopping, faster decision-making, distracted customers, and stretched fraud teams. Together, this creates easy openings for attackers.

The big ones include card-not-present fraud, account takeovers, first-party abuse (like fake “item not received” claims), and brand impersonation through fake websites.

Use layered checks behind the scenes—like device signals and identity verification—while keeping extra verification only for risky shoppers or unusual orders.

Fraud leads to false declines, account breaches, and order cancellations, which frustrate customers. These incidents often turn into negative reviews and lost repeat business.

Yes. High return volumes make it easier for fraudsters to exploit gaps in policies. Reviewing patterns by SKU and customer can help catch repeated abuse early.

Train customer support and store teams to spot red flags and escalate suspicious cases quickly. Human vigilance helps catch what automated systems miss.