COD fraud during peak events follows a predictable pattern: fake orders scale faster than real ones. Global ecommerce fraud hit $48 billion in 2025, and merchants lose $4.61 for every single dollar of fraud — not just the product cost, but shipping, processing, and the operational chaos of chasing ghost orders. For COD stores, the math is worse. You don't lose a chargeback. You lose a shipped product, a delivery attempt, and a return trip — all on your dime.

That pain concentrates around peak events like Eid al-Adha, the FIFA World Cup, Hot Sale Mexico, 6.6 Sale, and Black Friday. Every surge in legitimate orders brings a larger surge in fake ones. Your normal RTO rate of 20–25% can spike to 40% or higher during these windows. Fraudsters know your logistics partners are overwhelmed and your team is racing to ship, not verify. If you don't have an event-specific fraud prevention stack, you're funding someone else's impulse browsing with your shipping budget.

Why Do Peak Events Break Your Normal Fraud Defenses?

Your everyday fraud prevention — blocklists, address checks, manual review — works when order volume is predictable. During a peak event, three things happen at once that break this system.

First, order velocity overwhelms manual review. If you normally process 50 orders/day and a sale event pushes you to 300, nobody's checking each one. Fraudulent orders slip through because your team is racing to ship, not verify.

Second, serial returners rotate identities. Your blocklist catches known phone numbers and emails. During peak events, bad actors use new SIM cards, borrowed phones, and fresh email addresses. The same person who returned 6 orders last month places 10 more under a different number.

Third, logistics partners stop pushing back. Couriers during peak season are measured on delivery attempts, not delivery success. They'll attempt delivery on orders that would normally get flagged — wrong addresses, incomplete details, known high-RTO zones — because they're moving too fast to filter.

Map the Fraud Calendar Before It Maps You

COD fraud clusters around specific events, and each event attracts a different fraud profile. Knowing which peak events hit your market — and the type of fake orders each one generates — lets you activate the right defenses before the surge starts.

Eid al-Adha / Eid al-Fitr: Gift buying creates cover for impulse orders that were never intended to convert. RTO spikes because the "gift" was ordered on a whim during a sale, and the buyer has no commitment to receiving it.
Flash sales (6.6, 11.11, Hot Sale): Deep discounts attract deal-hunters who order multiple variants planning to keep one and reject the rest at the door. Your shipping cost multiplies, your revenue doesn't.
FIFA World Cup / major sporting events: Themed merchandise and impulse buys peak during group stages, then interest collapses after elimination. Orders placed during match-day excitement get rejected three days later.

Plot your peak events on a calendar. For each one, look at your RTO data from the same period last year. If you don't have historical data, assume your normal RTO rate doubles during any event where you're running promotions or seeing organic traffic spikes.

Require OTP Verification — But Time It Right

OTP verification is the single most effective filter for fake COD orders. A customer who confirms their phone number via SMS or WhatsApp before the order is confirmed is significantly less likely to reject delivery. The friction is minimal for real buyers and nearly impossible for someone placing throwaway orders with random numbers.

The timing matters. Pre-checkout OTP verification filters out fake orders before they enter your system. Post-checkout verification catches them before they ship. During peak events, pre-checkout is better — it prevents the order from consuming warehouse and logistics bandwidth at all.

One caveat: if your store gets heavy traffic from regions with unreliable SMS delivery, use WhatsApp OTP instead. WhatsApp message delivery rates in MENA and South Asia are consistently above 95%, while SMS can drop below 80% in some areas during network congestion — which happens during the exact events you're trying to protect against.

Use Partial Deposits to Filter Commitment

A small upfront payment separates serious buyers from browsers-who-order. Prepaid orders have RTO rates below 2%. Full COD orders average 20–30%. A partial deposit — even 10–20% of the order value — moves the needle dramatically because it introduces financial commitment without eliminating the COD option.

During peak events, consider raising your deposit percentage. If your normal partial payment is 10%, bump it to 20% for the event window. Customers who are genuinely buying won't blink at a slightly higher deposit. Customers who were planning to reject at the door will abandon the order — which is exactly what you want.

EasySell lets you configure partial payment deposits directly on your order form and adjust the percentage without touching code — useful when you need to toggle deposit rates up for a 10-day event window and back down after.

Set Order Velocity Limits Per Customer

Legitimate customers rarely place more than 2–3 orders during a sale event. Fraudsters and serial returners place 10+. Set hard limits on orders per phone number, per email, and per IP address during peak windows.

Practical thresholds that work for most COD stores during events:

3 orders per phone number within a 7-day window
3 orders per email address within a 7-day window
5 orders per IP address within a 24-hour window (slightly higher to account for shared networks)

These limits won't affect real customers. A buyer placing their 4th COD order from the same phone number in a week during a sale event is almost certainly returning at least two of them. Block the order and save the shipping cost. For a deeper look at building phone/email/IP blocklists, see our guide on automating fraud blacklists without losing real customers.

Restrict COD in High-RTO Zones During Events

You already know which postal codes and regions generate the highest return rates. During normal operations, you might tolerate 30% RTO from certain zones because the volume justifies it. During peak events, that 30% becomes 50%, and the math no longer works.

Build a tiered approach:

Green zones (RTO under 15%): Full COD available, normal deposit rates.
Yellow zones (RTO 15–30%): COD available with mandatory partial deposit of 20%+.
Red zones (RTO above 30%): Prepaid only during peak events. Re-enable COD after the event ends.

This isn't permanent. It's a 1–2 week restriction during the event window. Customers in red zones who genuinely want to buy will pay upfront. Customers who won't pay upfront in a high-RTO zone during a flash sale were never going to accept delivery anyway.

Build Your Event-Specific Prevention Stack

None of these tactics work in isolation. The prevention stack that actually holds during peak events layers them together:

2 weeks before the event: Review last year's RTO data by region. Update your zone tiers. Set your deposit percentages. Test OTP delivery rates.
1 week before: Activate velocity limits. Raise deposit rates in yellow/red zones. Switch red zones to prepaid-only.
During the event: Monitor RTO rates daily. If a zone's RTO exceeds your threshold mid-event, escalate it to the next tier in real time.
1 week after: Revert to normal settings. Compare event RTO against the same period last year. Document what worked.

The merchants who survive peak seasons profitably aren't the ones with the best products or the lowest prices. They're the ones who treat fraud prevention as a seasonal operation — something you prepare for, activate, monitor, and debrief, just like your marketing campaigns.

Start with one change before your next peak event. If you do nothing else, add OTP verification and a partial deposit requirement. Those two moves alone will filter out the majority of fake orders before they ever reach a courier. The rest — velocity limits, zone restrictions, behavioral risk scoring — you can layer in as you learn your store's specific fraud patterns.