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

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How to Kick Off the Season for Swiping (Credit Cards)

The winter holiday festivities are underway, and when it comes to the local malls, the holiday spending spirit seems to have already been in place for weeks. The season for swiping (credit cards) has begun. Before many of them set out with holiday gift lists in tow, they may be setting their sights on new lines of credit – by adding to their artillery of plastic. With 477.6 million existing credit card accounts, what do these consumers look like? While we can all agree that the meaning behind winter holiday celebrations is not the act of spending and giving material gifts, the two have come to be synonymous. This year is anticipated to be no different. When asked to describe their anticipated spending for the holidays this year, a recent Mintel survey said 56% of respondents planned to spend the same amount as they did last year. Nearly a quarter of respondents (23%) said they planned to spend more than they did last year. The uptick in spending as the year rounds out is no news flash. It is engrained within the fiscal landscape of each year, arguably its own tradition. According to a recent Experian consumer survey, Americans plan to spend an average of almost $850 on holiday gifts this year. Given what we know of consumers – and ourselves – as increased spending is upon us, credit card openings and usage are also on the rise. In order to capitalize on fulfilling your consumers needs during this bustling time filled with shopping bags and loaded online carts, it’s important to know what consumers look for in a credit card. Want to attract those holiday shoppers? The key to getting your plastic in their wallet is rewards, rewards, rewards. 58% of consumers will select a credit card for its rewards – including cash back, gas rewards, and retail gift cards – according to recent Experian consumer survey research. Is your credit card program stacked with rewards-ready options? Now what? Go where your consumers are – and for many of them that means online. While traditional retailers are still preferred destinations for holiday shopping, online is increasingly becoming a preferred way of shopping. 90% of consumers plan to do holiday shopping online, according to a Mintel study. Online shopping trends and online credit card applications trends seem to go hand in hand, according to Mintel and Experian data. Whether your consumers are looking for deals, that adrenaline rush of waiting until the last minute, or a trip to just get away from it all, credit cards can help them get there. And while the hustle and bustle of the holidays are ramping up, following the holidays quickly comes the new year – another close to 12 months of consumer spending (not just the dollars spent during this festive season). Consumer behavior across the entire year can be the key to enhancing your marketing and account management strategies. By knowing how much your consumers spend on all the plastic in their wallets – think bank cards too – you can offer customized reward programs, create strategies to maximize wallet share and retain profitable customers. Learn more about the first commercially-available spend algorithm built from credit data and tap into your wallet share for each consumer. 1Mintel Comperemedia 2Experian consumer survey research

Nov 27,2018 by Stefani Wendel

How to Collect Debt This Tax Season

Ben Franklin was wrong. Death and taxes are not the only two constants in life. For many, debt makes a third. And where there is past-due debt, collections is not far from the conversation, if not included in the same breath. While the turn of the new year may mark some arduous work to be done – losing those holiday pounds, spring cleaning, balance transfers and tax filings – there’s also opportunity for lenders, collectors and consumers alike. Just as the spikes in retail trends are analogous with the holiday months, there’s an evident uptick in collections during tax season year after year. As such, successful lenders, financial institutions and collections agencies know that January, February and March are critical months to engage with past-due customers, specifically as they relate to the tax season. The average tax refund for 2016 and 2017 was $2,860 and $2,769 respectively, according to the IRS. And while some may assume that all consumers look at this money as an opportunity for a “treat yourself” splurge, 35% of consumers expecting a refund said they would use it to pay down debt, according to the National Retail Federation. Additionally, during the 2017 tax season, 45 million consumers paid at least $500 and 10% or more of a tradeline balance(s), according to Experian data. So, if past-due consumers want to pay down debt, and the ultimate goal of collections is to recoup over-due funds, and first quarter collections growth appears to be driven by tax refunds, how do we make the connection? Think of the scene from Jerry Maguire – “Help me, help you!” Help consumers help themselves. Experian’s new Tax Season Payment IndicatorTM examines payment behavior over the past two years to determine whether a consumer has made a large payment to a tradeline balance – or balances – during tax season. “Millions of consumers used their tax refunds to pay down debt and many plan to do it again,” said Denise McKendall, Product Manager. “Collectors that leverage previous tax season payment behavior to identify and strategically engage with this group will benefit the most from the tax refund season.” Engaging this information can be like having a collections crystal ball. Targeting consumers that are likely to use their refund to pay down debt can influence messaging, campaign refinement and the timeliness of your touchpoints, resulting in greater collections ROI. This means as the year closes out and planning begins for 2019, collections prioritization strategy is key. And those conversations should be taking place now. Are you tax season ready? Learn More About Tax Season Payment Indicator

Nov 08,2018 by

Beyond Basic Data Sampling for Model Development

Your model is only as good as your data, right? Actually, there are many considerations in developing a sound model, one of which is data. Yet if your data is bad or dirty or doesn’t represent the full population, can it be used? This is where sampling can help. When done right, sampling can lower your cost to obtain data needed for model development. When done well, sampling can turn a tainted and underrepresented data set into a sound and viable model development sample. First, define the population to which the model will be applied once it’s finalized and implemented. Determine what data is available and what population segments must be represented within the sampled data. The more variability in internal factors — such as changes in marketing campaigns, risk strategies and product launches — and external factors — such as economic conditions or competitor presence in the marketplace — the larger the sample size needed. A model developer often will need to sample over time to incorporate seasonal fluctuations in the development sample. The most robust samples are pulled from data that best represents the full population to which the model will be applied. It’s important to ensure your data sample includes customers or prospects declined by the prior model and strategy, as well as approved but nonactivated accounts. This ensures full representation of the population to which your model will be applied. Also, consider the number of predictors or independent variables that will be evaluated during model development, and increase your sample size accordingly. When it comes to spotting dirty or unacceptable data, the golden rule is know your data and know your target population. Spend time evaluating your intended population and group profiles across several important business metrics. Don’t underestimate the time needed to complete a thorough evaluation. Next, select the data from the population to aptly represent the population within the sampled data. Determine the best sampling methodology that will support the model development and business objectives. Sampling generates a smaller data set for use in model development, allowing the developer to build models more quickly. Reducing the data set’s size decreases the time needed for model computation and saves storage space without losing predictive performance. Once the data is selected, weights are applied so that each record appropriately represents the full population to which the model will be applied. Several traditional techniques can be used to sample data: Simple random sampling — Each record is chosen by chance, and each record in the population has an equal chance of being selected. Random sampling with replacement — Each record chosen by chance is included in the subsequent selection. Random sampling without replacement — Each record chosen by chance is removed from subsequent selections. Cluster sampling — Records from the population are sampled in groups, such as region, over different time periods. Stratified random sampling — This technique allows you to sample different segments of the population at different proportions. In some situations, stratified random sampling is helpful in selecting segments of the population that aren’t as prevalent as other segments but are equally vital within the model development sample. Learn more about how Experian Decision Analytics can help you with your custom model development needs.

Nov 07,2018 by Guest Contributor

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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.