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How Payment Leaders Turn BIN Data Into Payment Decisions

Blog post from Basis Theory

Post Details
Company
Date Published
Author
Kevin Mayes
Word Count
1,109
Company Posts That Month
10
Language
English
Hacker News Points
-
Post removed?
No
Summary

BIN intelligence expands traditional card identification data, such as issuer, brand, country, and debit or credit classification, with operational attributes that help payment teams determine how a credential should be authenticated, routed, processed, and managed. These signals can include prepaid and reloadable status, Strong Customer Authentication and PSD2 requirements, Account Updater participation, alternative debit networks, co-badging, token versus PAN status, domestic restrictions, interchange characteristics, and Level 2 or Level 3 eligibility. Used before authorization, this information can support higher approval rates, fewer unnecessary authentication challenges, improved subscription retention, more effective retry and credential-lifecycle strategies, resilient multi-processor routing, and lower processing costs. Basis Theory presents its offering as BIN enrichment built for modern 8-digit BINs and integrated directly with vaulted payment credentials, allowing intelligence to remain available for payment routing, recurring billing, fraud decisions, reporting, reconciliation, and other optimization activities without separate lookups or infrastructure.

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