BIN Data: Fraud Detection & Improved Customer Experience

BIN data, derived from the first six or eight digits of a payment card number, identifies characteristics such as card network, issuer, type, issuing country, prepaid status, and—in enhanced forms—account and processing-cost details. The material presents it as an underused tool for high-volume merchants seeking to improve authorization rates, fraud prevention, payment routing, and interchange costs without changing customer checkout experiences. BIN information can identify potentially risky patterns, such as geographic mismatches, prepaid cards used for high-value purchases, or cards subject to merchant-category restrictions, while also helping route transactions to providers with stronger approval rates for particular cards or regions. It can further identify cards eligible for Level 2 or Level 3 transaction data, allowing merchants to submit required line-item, tax, and purchase-order details to qualify for lower interchange rates. Basis Theory promotes embedding standard and enhanced BIN enrichment into its payment-token vault so that these attributes are available across fraud checks, routing decisions, and transactions without separate API calls.

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