December 4, 2008

TINTON FALLS, N.J. - December 2008

CNNMoney.com, in recognition of the value of PredictiveMetrics' recovery scoring technology interviewed Michael Banasiak, president of PredictiveMetrics, for a November 26, 2008 article titled "As debt grows, collections boom," written by Abigail Bassett, CNNMoney.com contributing writer. The article discussed how collectors are turning to technology to improve collections of delinquent debt in this steadily declining economy. Banasiak stated, "We are telling collectors the probability of payment and what that amount is likely to be. We are helping consumers get rid of their debt, while helping collectors target those consumers who are more likely to pay."

Collection Advisor Honors PredictiveMetrics

For the fourth straight year, Collection Advisor magazine, the leading collections industry publication, named PredictiveMetrics' suite of statistical recovery scoring solutions for medical, credit cards, bank cards, gas cards, retail/private label cards, other debt, and debt buying, to their list of top 50 collection technology products for 2008. Collection Advisor continues to recognize the value to collectors of receiving two scores (dollar and payer), together with a comprehensive summary, detailed analyses including rank order reports and the capability of setting up various types of simulations for estimating profitability. The announcement was made during Collection Advisor's TECH '08 conference, recently held at the Loews Royal Pacific, Orlando, FL.

"The selection of PredictiveMetrics' recovery scoring solutions for this prestigious collection technology award is the highest level of achievement we could earn. It is a true honor being recognized for our contributions and advancements in predictive scoring technology. These accomplishments are a tribute to our 13 years of providing predictive scoring excellence to the collections industry," stated Banasiak.

About PredictiveMetrics' Debt Recovery Solutions

PredictiveMetrics is the leading provider of custom and industry/finance statistical-based predictive scoring and analytical solutions for a variety of industries, types of financing, and debt. PredictiveMetrics' recovery and debt buying models are based on the largest pool of observations (more than twenty million charged-off accounts, ten million for Card Debt, five million for Medical Debt, five million of Other Debt, blended with socio-economic data, supplied by PredictiveMetrics. This very large pool of observations allows collectors to segment their portfolio based on type of debt and placement (i.e., primary, secondary, tertiary...). No bureau data or personally identifiable information is required to produce accurate scores. Essentially, PredictiveMetrics' solutions leverages internal placement data, which has been proven to be the most predictive in this type of model - it's readily available and it's free. Advanced reporting is provided to aid in the development of collection strategies, and IT resources are not required to implement the system. File transfers occur through a secure SAS 70 II encrypted FTP environment.

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