A customer is often more than their credit score. Credit history alone doesn’t paint the whole picture, especially in unconventional consumer markets. But how can you determine if someone with a thin file is likely to be a responsible payer? How do you more accurately evaluate factors and mitigate risk in underserved and unscorable markets? And, finally, how do you discover hidden risk factors with more confidence from those with full files?

By using alternative data and predictive analytics, CSPs and Utilities can better understand their customers, business and market. To address both of these challenges, more telecom and utility service organizations are joining the National Consumer Telecom and Utilities Exchange® (NCTUE) and gaining member only access to industry specific, more relevant data. This unique access can allow CSPs and Utilities to go beyond traditional credit to qualify appropriate customers and adjust and expand their deposit strategies to mitigate risk.

This must-attend Equifax webinar – led by Equifax industry veterans Bill Brito, Chris Moss and Jeremy Mitchell – will demonstrate the benefits of NCTUE membership, and take a deep dive into the mechanics of alternative, industry specific data resources. You will learn how NCTUE membership and alternative data can help you to:

-Increase your potential for consumer predictability and revenue while helping to mitigate loss rates

-Improve account profitability by better recognizing customer risk potential and offering more appropriate deposits, terms, and services

-More accurately predict account performance by using powerful, predictive analytics derived from traditional credit information combined with select public record data such as real property ownership, address history, and evidence of wealth

-Send the right message to the right household by matching appropriate offers to households and selecting the best messaging and marketing media.

-Supplement your in-house analytics and research teams with custom analytics and geographical solutions and assist with marketplace analysis, customer and prospect profiling, predictive modeling, model scoring, direct marketing analytics, ROI analysis, retail trade analysis and prospect lists.

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20:00 - 21:00 hs GMT+1

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