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Utilities and Telecommunications

The current economic situation is putting increasing financial pressure on utilities and telecom. Delinquencies and losses continue to rise; utility shut-offs and arrearages are at an all time high, average amount owed is up, making utility collections a rocky landscape and greater priority. As more customers struggle to pay their bills, utilities are competing with other creditors for a share of the consumers' shrinking wallet, while creating a new balance between customer service, customer satisfaction and consistent recoveries. Utilities such as FP&L, Reliant Energy, Direct Energy, and Bermuda Electric are utilizing PredictiveMetrics’ behavior collection scores to identify the risk associated with each customer to determine the optimal treatment strategy. Our utility customers tell us that they are experiencing the following types of benefits: lower DSO and write-offs, reduced collection costs, a reduction in dollars at risk, account deposits that correlate with account risk, and increased customer satisfaction.

Portfolio Management and Early Stage Collections

UtilityScore^SM – Portfolio management model designed for collection prioritization and determination of deposits. The model predicts the probability that a GOOD paying customer will become BAD (client defines bad definition) at some point during the next six months for residential and industrial and commercial accounts for electric, gas, water, and telecommunications companies. Customers use the scores to rank order collections, calculate bad debt reserves, and determine deposit amounts for existing customers.

ScoreMiner^SM - Web-based credit and collection scoring, data mining, report and query system that leverages the predictive power of PredictiveMetrics’ industry/finance specific and custom portfolio scores. Customers use ScoreMiner’s various filtering and reporting capabilities to review and analyze information, to measure credit and collection performance and provides detailed information and graphical analysis by risk class and credit risk change over time.

Late Stage Collections, Debt Selling, Agency Management

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. Our customers use the scores for determining which accounts to keep, sell, or outsource for agency management.

PriorityScore for Collections for Utilities and Telecom^SM Powered by PredictiveMetrics – Industry specific late stage collection scoring models that combine Experian’s credit data with the client’s account level data on the debtor – segmented by debt type, age, and balance. Predicts expected payment amounts and probability of payment from consumers or businesses with the capacity to pay. Customers use the scores to segment and prioritize accounts based on cost, effort, and impact.

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