BIN

BINs (Bank Identification Numbers) are the foundational identifier in card payment routing. Every routing, pricing, and risk decision in the card payment stack starts with BIN identification.

BIN Structure

A card number (PAN) is structured as follows:

• Digits 1–6 (or 1–8): The BIN — identifies issuer, network, and card product.
• Digits 7–15 (or 9–15): The individual account number within the issuing bank.
• Final digit: The Luhn check digit (a mathematical validation).

Card networks expanded BINs from 6 to 8 digits in 2022 to accommodate the growing number of card programs. This migration created technical challenges for payment systems that hardcoded 6-digit BIN assumptions.

What a BIN Tells You

From a BIN lookup, a processor can determine:

• Issuing bank: Which financial institution issued the card.
• Card network: Visa, Mastercard, Amex, UnionPay, etc.
• Card type: Credit, debit, prepaid, corporate, rewards.
• Country of issue: The cardholder’s home market.
• Card level: Standard, Gold, Platinum, Signature, Infinite — determines interchange rate.

BIN-Level Performance Analysis

For merchants, BIN-level data analysis is a powerful optimization tool:

• Authorization rate by BIN: Identifies which issuer BINs are underperforming and potential causes (ACS configuration, fraud scoring thresholds).
• Challenge rate by BIN: Reveals which issuers are applying aggressive 3DS2 challenge thresholds, informing optimization priorities.
• Fraud rate by BIN: Some BIN ranges show systematically higher fraud rates — informing additional screening at authorization.
• Decline reason by BIN: Distinguishing soft declines (retry-able) from hard declines (do not retry) enables more effective retry logic.

BIN Intelligence Tools

Major payment platforms (Adyen, Stripe) provide BIN-level analytics as part of their reporting suites. Third-party BIN databases (Bincheck, Bindecoder) provide lookups for individual BINs. For merchants with high card-not-present volume, integrating BIN intelligence into the authorization flow — even for basic card type detection — is a low-cost, high-value optimization.