Case Study: a global financial institution boosts lead acquisition and conversion with Zoral

Global Financial Institution - Customer Case Study

The client, a global financial institution focused on consumer and SME credit, faced challenges in acquiring customers and buying leads. They required an automated, intelligent system from Zoral to accurately evaluate leads in real-time, predicting their likelihood to convert, default, or commit fraud before purchase.

Using its decision engine, model library, and other platform components, Zoral implemented a three-phase solution. This intelligent system provided granular probability scores for each lead, which resulted in a 32% reduction in customer acquisition costs and a total 48% increase in new customer volume.