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Improving the Debt Collection Process for Consumers

Published: March 6, 2018 by Andrew Beddoes

There are lots of reasons why people miss a bill payment. Unfortunately, the approaches for collecting those late payments tend to follow a one-size-fits-all approach. For example, a customer takes a long vacation and forgets to pay his credit card bill before he leaves. When he gets home ten days later he already has five phone calls and two official notices from the collections department. And the calls continue for the next few days until he has an opportunity to call them back to take care of the situation. How does this customer feel? Frustrated? Annoyed? Under-valued?

The current collections process is outdated, especially in a world where personalized and relevant communications are becoming the norm. The collections process is driven by the measurement of delinquency and loss. Rarely does it consider the broader customer profile. Too often, this narrow view leads to one-size-fits all collections strategies and overly aggressive processes. Getting debt collection right is about more than the money. It needs to be about the customer. It’s about knowing the difference between a customer who has simply forgotten to make a payment or someone dealing with financial hardship.

We recently released a paper on the collections process, looking at how common it is for overly aggressive collections to lead to account closures and erosion of customer lifetime value. In fact, we found 3 percent of 30-day delinquencies in card portfolios closed their accounts after paying their balance in full. Seventy-five percent of those closures came with the payment to bring the account current and the remaining 25 percent closed the account within the following 60 days. Our analysis also showed that people with the lowest balances and the lowest amount past-due had the highest incidence of paying off their debt and closing their accounts. That means that by being too aggressive over a fairly low dollar amount, you can damage the relationship with a customer who could bring a lifetime of more business.

We also used our Mosaic® lifestyle segmentation system to do a deeper look into who was more likely to close their accounts. We found the likelihood to close accounts was four times higher in the young, urban, affluent population than it was with others. This particular segment usually has the greatest potential for lifetime value and are the hardest to attract. It seems counterproductive to let overly aggressive and perhaps unnecessary, debt collection end the relationship.

However, if we become smarter about the collections process, it could be possible to not only keep the customer, but also strengthen the relationship. Consider this, the customer on that long vacation receives an email that says, “Hey we noticed you forgot to make your last payment. Can you email us back the reason why and when we should expect it?” This creates an opportunity to build the relationship with that customer and get a commitment to settle the payment by a particular date. Ten days later when he gets back from vacation, he receives a reminder to make the payment and takes care of it.  Instead of feeling frustrated, annoyed or undervalued, the customer has a positive experience and continues doing business with a company who is focused on building relationships vs. simply collecting money. There is a real opportunity to take best practices around customer experience from earlier stages of the customer lifecycle and apply them to the collections stage.

Sure, some situations may require a more aggressive approach, for others, the idea of an email and the option to log on to a virtual platform to handle the debt on their own terms is the preferred approach. Some customers may not need options other than a little more time to pay on their own terms.  It comes down to knowing your customer and applying the insights we can uncover from data to handle debt collection. This will allow us to improve the customer experience and strengthen customer life-time value.

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New challenges created by the COVID-19 pandemic have made it imperative for utility providers to adapt strategies and processes that preserve positive customer relationships. At the same time, they must ensure proper individualized customer treatment by using industry-specific risk scores and modeled income options at the time of onboarding As part of our ongoing Q&A perspective series, Shawn Rife, Experian’s Director of Risk Scoring, sat down with us to discuss consumer trends and their potential impact on the onboarding process. Q: Several utility providers use credit scoring to identify which customers are required to pay a deposit. How does the credit scoring process work and do traditional credit scores differ from industry-specific scores? The goal for utility providers is to onboard as many consumers as possible without having to obtain security deposits. The use of traditional credit scoring can be key to maximizing consumer opportunities. To that end, credit can be used even for consumers with little or no past-payment history in order to prove their financial ability to take on utility payments. Q: How can the utilities industry use consumer income information to help identify consumers who are eligible for income assistance programs? Typically, income information is used to promote inclusion and maximize onboarding, rather than to decline/exclude consumers. A key use of income data within the utility space is to identify the eligibility for need-based financial aid programs and provide relief to the consumers who need it most. Q: Many utility providers stop the onboarding process and apply a larger deposit when they do not get a “hit” on a certain customer. Is there additional data available to score these “no hit” customers and turn a deposit into an approval? Yes, various additional data sources that can be leveraged to drive first or second chances that would otherwise be unattainable. These sources include, but are not limited to, alternative payment data, full-file public record information and other forms of consumer-permissioned payment data. Q: Have you noticed any employment trends due to the COVID-19 pandemic? How can those be applied at the time of onboarding? According to Experian’s latest State of the Economy Report, the U.S. labor market continues to have a slow recovery amidst the current COVID-19 crisis, with the unemployment rate at 7.9% in September. While the ongoing effects on unemployment are still unknown, there’s a good chance that several job/employment categories will be disproportionately affected long-term, which could have ramifications on employment rates and earnings. To that end, Experian has developed exclusive capabilities to help utility providers identify impacted consumers and target programs aimed at providing financial assistance. Ultimately, the usage of income and employment/unemployment data should increase in the future as it can be highly predictive of a consumer’s ability to pay For more insight on how to enhance your collection processes and capabilities, watch our Experian Symposium Series event on-demand. Watch now Learn more About our Experts: Shawn Rife, Director of Risk Scoring, Experian Consumer Information Services, North America Shawn manages Experian’s credit risk scoring models while empowering clients to maximize the scope and influence of their lending universe. He leads the implementation of alternative credit data within the lending environment, as well as key product implementation initiatives.

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