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Published: August 11, 2025 by joseph.rodriguez@experian.com

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Choosing your MLA Solution: Direct or Indirect?

With the Oct. 3, 2016 compliance date upon us, many lenders continue to debate how they would like to solve for the Military Lending Act (MLA). With new enhancements, more protections have been granted to members of the military and their dependents when it comes to “consumer credit” products, specifically around the 36% cap on the MAPR. The key then becomes how to identify these individuals. At origination, how can the lender know if an individual is a member of the military, or a service member’s dependent? The answer, of course, lies in verification. Under the new Department of Defense (DOD) rule, lenders will have to check each credit applicant to confirm that they are not a service member, spouse, or the dependent of a service member.  The final rule includes a “safe harbor” from liability for lenders who verify the MLA status of a consumer through a nationwide Credit Reporting Agency (CRA) or the DOD’s own database, known as the DMDC. Obviously, lenders will want to have this “safe harbor,” so the question becomes do you opt for the direct or indirect solution? The direct solution is to have the lender access the DMDC on their own. With this option, expected turnaround time is 24 hours for batch searches. The DMDC expects the volume of searches to their servers to increase from 220 million a week to 1.9 billion a week. For some, this feels like a more manual process, but it can be done. The indirect solution involves the CRA accessing the DMDC data on the lender’s behalf. In Experian’s case, this would translate into lenders seeing the MLA indicator on the credit report at point of origination or making a call out for just the MLA indicator. The process is integrated into the credit-pull cycle, so no manual effort is required on the lender’s end. MLA status is simply flagged. The rule also permits the consumer report to be obtained from a reseller that obtains such a report from a nationwide consumer reporting agency. Required data to perform a search includes full legal name, address, social security number and date of birth. This applies to both the credit report add-on and Experian’s standalone solutions. If any of this data is missing from the inquiry, Experian is unable to perform the MLA search. Credit card lenders have until Oct. 3, 2017 to adhere to the new standards, but all other applicable lenders must act now and build out their compliance standards and solutions. Direct or indirect? That is the question. To learn more about MLA or how Experian can help, visit our dedicated-MLA site.

Sep 27,2016 by

2016 E-commerce fraud attacks on pace to surpass 2015 totals

Miami ranked as an overall top city for both shipping and billing e-commerce fraud Houston, Texas is the top ZIP Code for billing fraud and Eudora, Kansas ranked as top ZIP Code for shipping fraud The question of whether we’re in Kansas anymore is appropriate with the latest release of Experian® fraud attack data from across the United States. Eudora, Kan., is home to the highest e-commerce billing fraud ZIP CodeTM. Accounting for 5 percent of the total billing fraud so far in 2016, the town is among the top 25 riskiest ZIPTM codes, illustrating that fraud is not confined to larger cities. Download Experian’s bi-annual 2016 Top 100 riskiest billing ZIPTM codes rankings Experian analyzed millions of e-commerce transactions from the first six months of 2016 to identify the latest fraud attack rates for shipping and billing locations across the United States. Fraud attack rates are calculated using bad transactions in relation to the total number of transactions. Billing fraud rates are associated with the address of the purchaser, typically the fraud victims. Shipping fraud rates are associated with the address where purchased goods are sent. The one-year anniversary of the EMV chip technology rollout for consumers and merchants in the United States is approaching. The rollout utilizes chip technology on credit cards to protect in-store payments making it harder to counterfeit cards, and helping eliminate in-store fraud. However, the 2016 e-commerce fraud attack rates appear to be at least 15 percent higher than last year’s total. This suggests that card-not-present fraud is increasing as e-commerce fraud is often an indicator that other fraud activities have already happened — a credit card has been stolen, identity fraud has occurred or personal credentials have been compromised. The increase in e-commerce fraud is not surprising as e-commerce sales in the U.S. during the second quarter of 2016 increased nearly 16 percent year-over-year (YoY) according to the U.S. Department of Commerce. This was the greatest YoY increase since Q3 2014. At the same time, the Federal Trade Commission stated earlier this year that credit card fraud complaints had the highest reported numbers in 10 years, with a 41 percent increase in 2015 versus 2014. “Fraudsters continue to exploit new vulnerabilities, and perpetrate card-not-present fraud against businesses using stolen consumer identity and payment data,” said Adam Fingersh, Experian general manager and senior vice president of Fraud and Identity Solutions. “This reinforces the need for aggressive fraud prevention strategies and adoption of open technology platforms to prepare for the latest emerging cyber security threats. Fraudsters have what they need to quickly capitalize on compromised data, so businesses need to be prepared.” According to Experian’s rankings of top 100 riskiest billing ZIP codes , e-commerce fraud attack rates for the first half of 2016 show: 44% of e-commerce billing fraud came from three states among the top 100 riskiest billing fraud ZIP codes – Florida, California and New York – based on the sum of fraud attacks. Florida is the top-ranked state for billing fraud, with Miami home to 12 of the riskiest ZIP codes. New York ranked second, with Brooklyn home to six of the riskiest ZIP codes. Houston, Texas, (77036) has the riskiest ZIP Code for billing fraud as ranked by fraud attack rate. Eudora, Kan. (66025) has the next riskiest ZIP Code for billing fraud as ranked by fraud attack rate, followed by two ZIP codes in Miami (33192 and 33166) and one in Homer, Alaska (99603). 52% of e-commerce shipping fraud came from three states among the top 100 riskiest shipping fraud zip codes – Florida, New York, and California – based on the sum of attacks. Florida is home to 26 of the riskiest 100 shipping fraud ZIP codes, with 17 from Miami. Eudora, Kan., has the overall riskiest shipping ZIP Code (66025 as ranked by fraud attack rate. The next four riskiest shipping ZIP codes as ranked by fraud attack rate are located in Miami (33195, 33192 and 33116) and Nettleton, Miss. (38858). Many of the higher-risk ZIP codes and cities are located near a large port-of-entry city or airport, making them ideal locations for reshipping fraudulent goods. This includes Miami, Houston, New York City, and Los Angeles, perhaps allowing criminals to move stolen goods more effectively. All those cities are ranked among the riskiest cities for both measures of fraud attacks. Download the 2016 Experian top 100 fraud attack rate ZIP Code rankings.

Sep 21,2016 by Guest Contributor

The Top 3 Myths of Reporting Credit Data

In this age of content and increasing financial education available to all, most entities are familiar with credit bureaus, including Experian. They are known for housing enormous amounts of data, delivering credit scores and helping businesses decision on credit. On the consumer side, there are certainly myths about credit scores and the credit report. But myths exist among businesses as well, especially as it pertains to the topic of reporting credit data. How does it work? Who’s responsible? Does reporting matter if you’re a small lender? Let’s tackle three of the most common myths surrounding credit reporting and shine a light on how it really is essential in creating a healthy credit ecosystem. Myth No. 1: Reporting to one bureau is good enough. Well, reporting to one bureau is definitely better than reporting to none, but without reporting to all three bureaus, there could be gaps in a consumer’s profile. Why? When a lender pulls a consumer’s profile to evaluate it for extending additional credit, they ideally would like to see a borrower’s complete credit history. So, if one of their existing trades is not being reported to one bureau, and the lender makes a credit pull from a different bureau to use for evaluation purposes, no knowledge of that trade exists. In cases like these, credit grantors may offer credit to your customer, not knowing the customer already has an obligation to you. This may result in your customer getting over-extended and negatively impacting their ability to pay you. On the other side, in the cases of a thin-file consumer, not having that comprehensive snapshot of all trades could mean they continue to look “thin” to other lenders. The best thing you can do for a consumer is report to all three bureaus, making their profile as robust as it can be, so lenders have the insights they need to make informed credit offers and decisions. Some believe the bureaus are regional, meaning each covers a certain part of the country, but this is false. Each of the bureaus are national and lenders can report to any and all. Myth No. 2: Reporting credit data is hard. Yes, accurate and timely data reporting requires a few steps, but after you get familiar with Metro 2, the industry standard format for consumer data reporting, choose a strategy, and register for e-Oscar, the process is set. The key is to do some testing, and also ensure the data you pass is accurate. Myth No. 3: Reporting credit data is a responsibility for the big institutions –not smaller lenders and companies. For all lenders, credit bureau data is vitally important in making informed risk determinations for consumer and small business loans. Large financial institutions have been contributing to the ecosystem forever. Many smaller regional banks and credit unions have reported consistently as well. But just think how much stronger the consumer credit profile would be if all lenders, utility companies and telecom businesses reported? Then you would get a true, complete view into the credit universe, and consumers benefit by having the most comprehensive profile — Bottom line is that when comprehensive data on consumer credit histories is readily available, it’s a good thing for consumers and lenders. And the truth is all businesses – big and small – can make this a reality.

Sep 19,2016 by

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Mar 01,2025 by Jon Mostajo, test user

Used Car Special Report: Millennials Maintain Lead in the Used Vehicle Market

With the National Automobile Dealers Association (NADA) Show set to kickoff later this week, it seemed fitting to explore how the shifting dynamics of the used vehicle market might impact dealers and buyers over the coming year. Shedding light on some of the registration and finance trends, as well as purchasing behaviors, can help dealers and manufacturers stay ahead of the curve. And just like that, the Special Report: Automotive Consumer Trends Report was born. As I was sifting through the data, one of the trends that stood out to me was the neck-and-neck race between Millennials and Gen X for supremacy in the used vehicle market. Five years ago, in 2019, Millennials were responsible for 33.3% of used retail registrations, followed by Gen X (29.5%) and Baby Boomers (26.8%). Since then, Baby Boomers have gradually fallen off, and Gen X continues to close the already minuscule gap. Through October 2024, Millennials accounted for 31.6%, while Gen X accounted for 30.4%. But trends can turn on a dime if the last year offers any indication. Over the last rolling 12 months (October 2023-October 2024), Gen X (31.4%) accounted for the majority of used vehicle registrations compared to Millennials (30.9%). Of course, the data is still close, and what 2025 holds is anyone’s guess, but understanding even the smallest changes in market share and consumer purchasing behaviors can help dealers and manufacturers adapt and navigate the road ahead. Although there are similarities between Millennials and Gen X, there are drastic differences, including motivations and preferences. Dealers and manufacturers should engage them on a generational level. What are they buying? Some of the data might not come as a surprise but it’s a good reminder that consumers are in different phases of life, meaning priorities change. Over the last rolling 12 months, Millennials over-indexed on used vans, accounting for more than one-third of registrations. Meanwhile, Gen X over-indexed on used trucks, making up nearly one-third of registrations, and Gen Z over-indexed on cars (accounting for 17.1% of used car registrations compared to 14.6% of overall used vehicle registrations). This isn’t surprising. Many Millennials have young families and may need extra space and functionality, while Gen Xers might prefer the versatility of the pickup truck—the ability to use it for work and personal use. On the other hand, Gen Zers are still early in their careers and gravitate towards the affordability and efficiency of smaller cars. Interestingly, although used electric vehicles only make up a small portion of used retail registrations (less than 1%), Millennials made up nearly 40% over the last rolling 12 months, followed by Gen X (32.2%) and Baby Boomers (15.8%). The market at a bird’s eye view Pulling back a bit on the used vehicle landscape, over the last rolling 12 months, CUVs/SUVs (38.9%) and cars (36.6%) accounted for the majority of used retail registrations. And nearly nine-in-ten used registrations were non-luxury vehicles. What’s more, ICE vehicles made up 88.5% of used retail registrations over the same period, while alternative-fuel vehicles (not including BEVs) made up 10.7% and electric vehicles made up 0.8%. At the finance level, we’re seeing the market shift ever so slightly. Since the beginning of the pandemic, one of the constant narratives in the industry has been the rising cost of owning a vehicle, both new and used. And while the average loan amount for a used non-luxury vehicle has gone up over the past five years, we’re seeing a gradual decline since 2022. In 2019, the average loan amount was $22,636 and spiked $29,983 in 2022. In 2024, the average loan amount reached $28,895. Much of the decline in average loan amounts can be attributed to the resurgence of new vehicle inventory, which has resulted in lower used values. With new leasing climbing over the past several quarters, we may see more late-model used inventory hit the market in the next few years, which will most certainly impact used financing. The used market moving forward Relying on historical data and trends can help dealers and manufacturers prepare and navigate the road ahead. Used vehicles will always fit the need for shoppers looking for their next vehicle; understanding some market trends will help ensure dealers and manufacturers can be at the forefront of helping those shoppers. For more information on the Special Report: Automotive Consumer Trends Report, visit Experian booth #627 at the NADA Show in New Orleans, January 23-26.

Jan 21,2025 by Kirsten Von Busch

Special Report: Inside the Used Vehicle Finance Market

The automotive industry is constantly changing. Shifting consumer demands and preferences, as well as dynamic economic factors, make the need for data-driven insights more important than ever. As we head into the National Automobile Dealers Association (NADA) Show this week, we wanted to explore some of the trends in the used vehicle market in our Special Report: State of the Automotive Finance Market Report. Packed with valuable insights and the latest trends, we’ll take a deep dive into the multi-faceted used vehicle market and better understand how consumers are financing used vehicles. 9+ model years grow Although late-model vehicles tend to represent much of the used vehicle finance market, we were surprised by the gradual growth of 9+ model year (MY) vehicles. In 2019, 9+MY vehicles accounted for 26.6% of the used vehicle sales. Since then, we’ve seen year-over-year growth, culminating with 9+MY vehicles making up a little more than 30% of used vehicle sales in 2024. Perhaps more interesting though, is who is financing these vehicles. Five years ago, prime and super prime borrowers represented 42.5% of 9+MY vehicles, however, in 2024, those consumers accounted for nearly 54% of 9+MY originations. Among the more popular 9+MY segments, CUVs and SUVs comprised 36.9% of sales in 2024, up from 35.2% in 2023, while cars went from 44.3% to 42.9% year-over-year and pickup trucks decreased from 15.9% to 15.6%. 2024 highlights by used vehicle age group To get a better sense of the overall used market, the segments were broken down into three age groups—9+MY, 4-8MY, and current +3MY—and to no surprise, the finance attributes vary widely. While we’ve seen the return of new vehicle inventory drive used vehicle values lower, it could be a sign that consumers are continuing to seek out affordable options that fit their lifestyle. In fact, the average loan amount for a 9+MY vehicle was $19,376 in 2024, compared to $24,198 for a vehicle between 4-8 years old and $32,381 for +3MY vehicle. Plus, more than 55% of 9+MY vehicles have monthly payments under $400. That’s not an insignificant number for people shopping with the monthly payment in mind. In 2024, the average monthly payment for a used vehicle that falls under current+3MY was $608. Meanwhile, 4-8MY vehicles came in at an average monthly payment of $498, and 9+MY vehicles had a $431 monthly payment. Taking a deeper dive into average loan amounts based on specific vehicle types—as of 2024, current +3MY cars came in at $28,721, followed by CUVs/SUVs ($31,589) and pickup trucks ($40,618). As for 4-8MY vehicles, cars came in with a loan amount of $22,013, CUVs/SUVs were at $23,133, and pickup trucks at $31,114. Used 9+MY cars had a loan amount of $19,506, CUVs/SUVs came in at $17,350, and pickup trucks at $22,369. With interest rates remaining top of mind for most consumers as we’ve seen them increase in recent years, understanding the growth from 2019-2024 can give a holistic picture of how the market has shifted over time. For instance, the average interest rate for a used current+3MY vehicle was 8.0% in 2019 and grew to 10.2% in 2024, the average rate for a 4-8MY vehicle went from 10.3% to 12.9%, and the average rate for a 9+MY vehicle increased from 11.4% to 13.8% in the same time frame. Looking ahead to the used vehicle market It’s important for automotive professionals to understand and leverage the data of the used market as it can provide valuable insights into trending consumer behavior and pricing patterns. While we don’t exactly know where the market will stand in a few years—adapting strategies based on historical data and anticipating shifts can help professionals better prepare for both challenges and opportunities in the future. As used vehicles remain a staple piece of the automotive industry, making informed decisions and optimizing inventory management will ensure agility as the market continues to shift. For more information, visit us at the Experian booth (#627) during the NADA Show in New Orleans from January 23-26.

Jan 21,2025 by Melinda Zabritski

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typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.