AvantGard Increase Your Liquidations

Consumer Collections Scoring


Consumer debt collections is a daunting endeavor…increase your liquidations and improve your margins using behavioral data to optimize bids and prioritize collections activity.

Whether you are a collection agency, late stage collector, debt buyer, in legal collections, a utility, leasing / financial service, telecom or hospital, you are likely looking to improve your collections effectiveness.

Utilizing industry-specific models developed for early and late stage collections organizations can optimize resource time and improve margins through automated collections scoring models.  

Predictive Metrics Models are created specifically for:

Debt Buyers & Late Stage Collection Agencies    Healthcare
Utilities & Telecoms   Lease & Loan Portfolios
B2B Trade Credit & Collections   Student Loan

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Predictive Analytics Aids Student Loan Debt Collections

Tuesday, July 22, 2014
In a previous blog article about student loan debt, I touched upon the use of predictive collection scoring models or predictive analytics to aid in the collection of student loan debt.  According to the Consumer Financial Protection Bureau estimates, student loan debt has risen 20 percent to $1.2 trillion between 2011 and 2013 - surpassing every other form of non-mortgage debt.  While this is not good news, there is help available for those collecting student loan debt. Knowing which students have the greatest propensity to repay and an expected value in dollars of the account in question is key to ensuring servicers and collectors alike spend time and resources wisely.  This is where predictive collection scoring models can help. Predictive collection scoring models include the ability to produce two scores on all borrowers: a traditional probability that a borrower will pay and a unique second score which predicts the expected value of the loan. The combination of the payer and expe

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Related News

Collection Advisor, a leading credit and collections magazine for debt collectors, has named SunGard in its list of Top 20 Companies of the Decade.
Access Receivables, an accounts receivable collection agency, has selected SunGard's AvantGard Predictive Metrics for statistical scoring.
H. P. Sears Company, Inc. has selected SunGard's AvantGard Predictive Metrics for statistical modeling to help prioritize collections and increase recovery rates for its clients on medical and credit card debt as well as payday loans.