Case Study: Leading Publicly-Traded FinTech Company reduces charge-offs with ForMotiv Behavioral Intelligence

Public FinTech reduces charge-offs 12.7% with Behavioral Intelligence

Leading Publicly-Traded FinTech Company worked with ForMotiv as it looked to reduce fraud and delinquency rates on its personal loan applications ahead of a busy holiday season. The VP of Fraud Analytics and Director of Scoring and Analytics wanted to supplement existing fraud and scoring models with alternative data.

ForMotiv deployed its Behavioral Intelligence platform to analyze digital body language in real time, identify high-risk applicants, and feed predictive signals into the company’s automated decisioning models. The solution helped reduce malicious charge-offs by 12.7%, with an average charge-off of $1,250 and estimated monthly savings of about $1.6 million, while analyzing more than 10 million behavioral data points per day.