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Collection Agencies and Debt Buyers

Agencies are faced with more debt to collect and the same or less resources, fewer accounts paying, lower payment amounts, rising collection costs, and limited access to debtor information (Permissible Purpose Rules). Agencies and debt buyers such as Capio, Penn Credit, JP Recoveries, and the NRA Group are utilizing PredictiveMetrics’ statistical collection scores, which are segmented, based on the type of debt, age of the debt and balance leveraging the predictive power of their placement data, to identify expected dollars to be collected and likely payers. No bureau data is required to produce very predictive results helping with the Fair Credit Reporting Act, Fair Debt Collection Practices Act, Pinto’s Ruling, and HIPAA. These scores are bringing science and quantifiable results to collection operations resulting in better collection prioritization, resource allocation and operational cost reductions.

UltraCollectionScore^SM – Debt collection model that uses payment behavior specific to debt, age, and balance among other variables. Customers use the scores to develop prioritization strategies based on cost, effort, and liquidation for consumer and commercial collections.

MedicalCollectionScore^SM - Debt collection model that uses payment behavior specific to charged-off medical debt, age, and balance among other variables. Customers use the scores to develop prioritization strategies based on cost, effort, and liquidation.

CardCollectionScore^SM - Debt collection model that uses payment behavior specific to bank, retail, credit, and charge card bad debt, age, and balance among other variables. Customers use the scores to develop prioritization strategies based on cost, effort, and liquidation.

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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