Weighted Match Score

Overview

A weighted match score measures how closely two identity attributes align during verification, applying different weights to each field (e.g., name, DOB, address). For example, a 70% match may pass if high-weighted attributes (DOB, SSN) align, even if lower-weight ones (address spelling) differ.

Weighted scoring helps reduce false negatives and balance flexibility with accuracy in KYC/KYB processes. Regulators expect transparent methodologies to ensure consistent outcomes and auditability.

Banks, fintechs, and verification providers use weighted match scoring to compare customer data against registries, watchlists, or submitted documents. By prioritizing critical identifiers, institutions improve compliance accuracy and user experience.

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