Setting Up Fraud Detection for a Growing eCommerce Store

Fraud patterns that are invisible noise at 50 orders a day become obvious, costly patterns at 5,000. The setup that made sense at launch — manual review of anything that looks off — stops scaling well before most stores notice it's stopped working.

• Velocity checks — flagging unusual order frequency from a single account, device, or payment method.
• Device fingerprinting — identifying when many "different" orders are coming from the same underlying device.
• Behavioral pattern matching — comparing new orders against known fraud patterns, not just static rules.

Setting up detection before a fraud spike is materially cheaper than responding to one already in progress — at that point you're triaging losses and reversing chargebacks instead of preventing them, which is a strictly worse position to be building from.

• Fraud Detection for eCommerce, From First Principles
• What Return Abuse Actually Costs Retailers
• Coupon and Discount Code Abuse: How Leak Detection Works