Fraud Prevention

Systems and practices to detect and prevent fraudulent transactions.

1 min readLast updated Apr 2026
Reviewed by Golden Digital·Operator-reviewed ecommerce reference

Systems and practices to detect and prevent fraudulent transactions.

Why It Matters

Ecommerce fraud costs merchants 1-2% of revenue. Fraud leads to chargebacks, lost merchandise, and potential account termination.

Practical Example

Scenario

A electronics retailer implements fraud screening for high-risk orders.

Calculation

Before: 2.1% of orders fraudulent = $21K lost annually on $1M revenue. After screening: 0.3% fraud rate

Result

85% reduction in fraud losses, saving $18K annually with $200/month fraud prevention tool

Pro Tips

  • 1Flag high-risk indicators: mismatched billing/shipping, high-value first orders, expedited shipping to new addresses
  • 2Use AVS (Address Verification) and CVV checks on all transactions
  • 3Consider 3D Secure for high-risk product categories (electronics, luxury goods)

Common Mistakes to Avoid

Over-blocking legitimate orders—declined genuine customers hurt revenue more than some fraud
Relying solely on automated systems without manual review of flagged orders
Not adapting fraud rules for international orders (different address formats, no AVS in some countries)

Frequently asked questions

Start with Shopify's built-in fraud analysis. For higher risk: Signifyd (chargeback guarantee), NS8, ClearSale. Stripe Radar is excellent if using Stripe directly. Match tool cost to your fraud rate.

Use risk-based friction: low-risk orders process smoothly, high-risk get additional verification. Avoid blocking by country if you have legitimate international customers. Review flagged orders manually.

Put it to work

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