PredictiveMetrics Introduces Predictive Decision Tool for Improving Liquidations

TINTON FALLS, NJ – PredictiveMetrics™ a leading knowledge-based scoring company, successfully launched RecoveryScore™, statistical model for recovering outstanding debt, at Thomson Media?s 12th Annual Credit Card Collections Conference. RecoveryScore was well received by attendees of the conference with its distinct feature of predicting two outcomes: probability of payment and dollars to be collected from each account, optimizing dollars collected. Attendees also liked the idea of an industry specific model that leverages data provided by creditors to drive RecoveryScore performance up and costs down.

?With margins smaller and recoveries harder, there was a need for a tool designed specifically for the bad debt industry to ?get the last squeeze out of the lemons? for prioritizing collections,? stated Michael Banasiak, president of PredictiveMetrics, Inc. ?Collectors can use RecoveryScore to cost-effectively allocate scarce collection resources. They can set their collection strategy to maximize liquidations and control costs based on PredictiveMetrics? analytics.?