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Bad Debt Collections and Debt Buying

PredictiveMetrics’ collection scoring models for bad debt collections allow collectors to optimize liquidations, reduce costs, and better allocate resources by rank ordering based on cost, effort, and a validated expected dollar payment amount. Debt buyer scoring aids in determining the optimal price and assisting with the due diligence process.

Features:

•	Predicts two outcomes: Dollar (expected value) and Payer (probability of payment 0.01%-99.9%) versus the typical single collection score (300-850) that is validated in a back test on your portfolio.
•	No bureau data or personally identifiable information is required to produce accurate scores, helping you comply with Pintos’ ruling (Permissible purpose rules) and HIPAA; bureau data can optionally be added.
•	Validated predictive scoring technology is used to improve collection process efficiency and effectiveness, reducing collection costs.
•	Leverage your internal performance data, which is the most predictive data for this type of model, it’s readily available, it’s free and allows you to score all accounts.
•	Advanced reporting provided with the scores to help you quantify payment collections and develop optimal collection techniques.
•	Models are designed for different debt ages from fresh, firsts, seconds, tertiary and beyond.

UltraCollectionScore^SM – Consumer and commercial collection models that predict the expected value of an account and propensity to pay the delinquent obligation – specific to debt type, age, and balance among other features.

MedicalCollectionScore^SM - Score patients from “day one” after treatment, late stage delinquency, charge-offs and accounts placed for collection through tertiary and beyond.

CardCollectionScore^SM - Consumer and commercial collection models for bank, retail, credit, and charge cards that predicts the expected value of an account and propensity to pay the late stage delinquent obligation, charged-off debt or accounts placed for collection through tertiary and beyond.

PriorityScore for Collections^SM Powered by PredictiveMetrics – Suite of blended collection scoring models that combine Experian’s credit data with the client’s account level data on the debtor – segmented industry, age, and balance. Predicts expected payment amounts and probability of payment from consumers or businesses with the capacity to pay. Our customers use the scores for determining which accounts to keep, sell, or outsource for agency management.

LegalCollectionScore^SM - Debt collection model that predicts the probability of payment and expected dollar value to determine suit worthiness for both consumer and commercial debt collection. Customers use the scores to prioritize accounts to determine whether to pursue legal actions or not based upon expanded liquidation or probability of payment. This collection scoring model can also be used in the due diligence process of bad debt buying and bad debt selling.

DebtBuyerScore^SM - Debt pricing report that estimates the overall collectability, as well as on an individual account basis, of a bad debt portfolio. The model predicts probability of payment and forecasts dollar payments per account within the first six months after scoring. It aids our customers in determining the optimal price and due diligence process for buying and selling consumer or commercial distressed debt.

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