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When we think about vehicle history, we tend to imagine two audiences: dealers and consumers. After all, identifying any potential hidden defects could have a significant impact on a used car buying decision; vehicle history reports are an invaluable part of the process. But it’s not just dealers and consumers who can benefit. It takes three things to sell a vehicle: the car (dealers), the consumer and credit; we’ve covered the first two, so let’s focus on the third. Lenders take a plethora of information into consideration when making automotive lending decisions, including a borrower’s credit score, payment history and utilization rate. But these data points only reflect the risk associated with the borrower; there’s also inherent risk with the vehicle itself. I recently participated in a virtual workshop, The Risky Side of the Road, during Used Car Week 2020, where we discussed the value of leveraging vehicle history information to minimize risk with lending decisions. Extending a loan to a borrower hoping to purchase a used vehicle with unidentified defects exposes the lender to unnecessary risk; hidden damage and maintenance costs could impact a borrower’s ability to repay the loan. To minimize portfolio risk, we recommend lenders leverage vehicle history reports, such as AutoCheck, before making a lending decision. Hidden Damage Significantly Impacts Vehicle Value Let’s consider the universe of used vehicles that could potentially be sold and financed. According to Experian’s Q2 2020 Market Trends Review, there are more than 280 million vehicles on the road. And our research indicates that four out of 10 of the cars and light duty trucks on the road have been in at least one accident, and around 20% of vehicles have been in multiple accidents. What does this mean for a vehicle’s value? Even if a vehicle has been completely restored and repaired, the value of the vehicle diminishes. According to a recent Mitchell Industry Trends Physical Damage Report, in Q2 2019, the average diminished value for a vehicle involved in an accident was $3,151; and this doesn’t include the fiscal impact of other hidden defects, such as flood damage. And the loss in value trickles down to the consumer and lender. For instance, if a lender unknowingly extends a $10,000 loan to a consumer who purchases a used vehicle that was involved in an accident, the actual value of the vehicle may be around $7,000. If the consumer decides to sell the vehicle before paying off the loan, it is very likely they will be up-side down. If the consumer falls behind on payments and the vehicle is repossessed, it will be difficult for the lender to recoup any losses at auction. But that’s where vehicle history reports come into play. Tools, such as AutoCheck vehicle history reports, inform lenders about reported accidents and recall information, among other insights. In addition, the AutoCheck Score, enables users to compare a vehicle with vehicles of similar class and age and assess the likelihood it will be on the road in five years. The AutoCheck Score can also help gauge the value and drivability of a repossessed vehicle. For example, according to Experian’s similarly titled white paper, The Risky Side of the Road, we found that the percentage of repossessed vehicles that were drivable was higher for vehicles assured by AutoCheck vehicle history reports (86.16%) versus those that were not assured (80.75%). Additionally, we found that repossessed vehicles that were drivable tend to have higher AutoCheck Score range. And unsurprisingly, vehicles that are drivable tend to perform better at auction, meaning a better return on investment for the lender. During these uncertain times, it is important for lenders to more precisely gauge the level of risk they take on. The more information lenders have about the used vehicles they are financing, the better positioned they will be to offer loan terms that minimize portfolio risk, while better meeting consumer needs. To view Experian’s white paper, The Risky Side of the Road, click here.

The jump to the cloud means that lenders are suddenly more capable than ever at making analytically sound and more financially inclusive decisions.

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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