Partner Solutions ⇒ D&B

PredictiveMetrics and D&B partnered to provide best-in-class commercial collection and portfolio credit management scoring models for businesses providing trade credit, banks and financial services companies, lessors, collection agencies and debt buyers. The powerful combination of internal performance data blended with D&B data, makes these the most predictive scoring models on the market today.

Net30Score^SM Plus – Designed for businesses providing trade credit. Predicts the specific probability of any GOOD customer becoming a BAD customer at some point over the six month period from the date of the score. Helps companies implement risk based collections and can be used for order release and credit line management.

FinancialRiskScore^SM Plus – Designed for banks and financial services companies for commercial credit cards, installment loans and lines of credit. Predicts the probability of severe delinquency (you determine bad definition) or loss at some point between six and twenty-four months from the date of the score. Helps with implementing risk-based collections and can be used for new credit authorizations with existing customers, portfolio management and credit line management.

LeaseRiskScore^SM Plus – Designed for unsecured and secured leases. Predicts the probability of severe delinquency (you determine bad definition) or loss at some point between six and twenty-four months from the date of the score. Helps lessors implement risk-based collections and can be used for new lease authorizations with existing customers, portfolio management and lease line management.

Commercial Recovery Score^SM Plus – Designed for creditors, collection agencies and debt buyers of commercial debt. Predicts the likelihood of one or more payments over the six month period from the scoring date and an estimate of how much will be paid. Creditors can use the score to determine which late stage delinquent or written-off accounts are worth keeping, which to outsource, and which to sell. Collection agencies can use the expected value score to prioritize collections based on a traditional probability of payment or the expected amount of the payment. Debt buyers and sellers use the scores to evaluate the expected liquidations of a portfolio.

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