DebtBuyerScore
How much should you bid on a delinquent portfolio? How will it perform? If your bid is too low, you lose. Too high, and you're sorry you won. So, how do you really win? Use PredictiveMetrics’ (PMI) DebtBuyerScore statistical model for valuing bad debt..
PredictiveMetrics developed DebtBuyerScore to meet debt buyers demand to have an automated decision tool that prices bad debt for maximum returns. DebtBuyerScore identifies predicted dollars for each individual account in the portfolio as well as overall portfolio collectability. This is done without a credit bureau inquiry.
This groundbreaking, advanced decision model leverages industry specific data and collection performance data and other external information supplied by PMI, to drive model performance up and keep costs down. It is proven that internal performance data is a much more powerful predictor of successful recovery than scores based merely on external bureau data.
DebtBuyerScore is an empirically derived multivariate statistical model that measures the propensity to pay a delinquent obligation. PMI applied proprietary statistical techniques to more than 10 million observations and blended it with socio-economic and demographic data. PMI supplies this data. Supplementing your due diligence process, DebtBuyerScore expedites the pricing decision process with optimal returns.
The model scores are straightforward and easily accessible via the Internet. File transfer occurs through encrypted FTP Internet exchange, minimizing IT resources.
PMI offers a FREE VALIDATION ANALYSIS of DebtBuyerScore to provide mathematical proof that the score determines the probability of payment on a debt buyer’s prior purchases.
