Case Study: Large Regional Financial Services Company achieves 26% income-estimation lift and 96% coverage with Equifax Consumer IncomeView

Large Lender Improves Targeting and Segmentation without Adding Friction

A large regional financial services company needed a more accurate, low‑friction way to understand customer income across the consumer lifecycle — from prospecting to account management. Manual income verification caused customer drop‑off and legacy income models left coverage gaps and poor accuracy for thin‑file or young consumers.

The firm deployed Equifax Consumer IncomeView, a next‑generation model that combines multisource proprietary data with neural‑network and machine‑learning techniques. The result was a greater than 26% lift in income‑estimation accuracy, a 96% scorable rate (about 26 million consumers), and stronger confidence in minimum‑income estimates (for example, an estimated $60K is the true income or higher ~77% of the time), enabling faster verifications, better segmentation, improved risk management, and a frictionless customer experience.