Case Study: FairMoney achieves automated credit appraisal and improved loan retention with Terragon Insights on Demand API

FairMoney Drives Retention Through Automated Credit Appraisal

FairMoney, a digital microfinance institution in Nigeria, faced the challenge of effectively scoring loan applicants' propensity to take and repay loans. To identify suitable clients for their offers, they partnered with the vendor Terragon, utilizing their Insights on Demand API service for a solution.

Terragon implemented a solution by establishing a secure API connection to enrich FairMoney's first-party data with high recency demographic, behavioral, and transactional data. This enriched data was then analyzed using ML and AI algorithms to segment customers based on their loan propensity. The solution achieved a match rate of up to 80% on the provided data, giving FairMoney the robust insights needed to make informed business decisions on customer retention and loan approvals.

FairMoney