Quick Summary: Leasing continues to increase in the electric vehicle (EV) market. EVs accounted for nearly 20% of all new vehicle leases in Q4 2024, up from only 2.11% of new vehicle leases four years ago in Q4 2020. With consumers looking for flexibility—both in monthly payment and model availability—we’re seeing leasing continue to surge in the electric vehicle (EV) market. According to Experian’s State of the Automotive Finance Market Report: Q4 2024, EVs accounted for 19.5% of all new vehicle leases this quarter, up from 11.7% last year and a substantial increase from 2.1% in Q4 2020. Diving a bit deeper, data found EVs accounted for 9.3% of all new purchases in Q4 2024. Of those EVs, 50.1% were leased, while 38.9% were financed through loans. With lease payments for EVs ultimately being more affordable compared to loans and the excitement of driving the latest models packed with advanced technology, it’s no surprise we’re seeing leasing grow in popularity. Top leased EVs: How do lease and loan payments compare? As more consumers transition to EVs and manufacturers introduce new options to their lineup, certain models have become top choices for those opting to lease. Tesla accounted for the top two leased EVs in Q4 2024, with Tesla Model 3 coming in at 12.2% and Tesla Model Y at 9.1%. However, the Honda Prologue followed closely at 8.8% this quarter. Rounding out the top five were Hyundai IONIQ 5 (6.9%) and Chevrolet Equinox EV (5.9%). It’s notable that leasing has traditionally been a value-driven option for consumers, and the same holds true in the EV market. Leasing continues to offer lower monthly payments, making the finance option stand out for those looking to test an EV before purchasing or simply wanting the latest model on the lot. In Q4 2024, the average payment difference between a loan and a lease was $175. Though, the average monthly payment to lease a non-luxury EV was $504 this quarter, noting a $205 difference compared to the $709 loan payment. By comparison, the average monthly payment between a loan and leased luxury EV was $98—coming in at $842 for a lease and $940 for a loan. As more consumers choose to lease EVs, automotive professionals in both new and used markets have a chance to capitalize on this trend. By leveraging this data, those in the new retail market can effectively reach the right audience, while those in the used market can stay ahead of the curve and prepare for the influx of off-lease models in the coming years. To learn more about automotive finance trends, view the full State of the Automotive Finance Market: Q4 2024 presentation on demand.

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Fraud rings cause an estimated $5 trillion in financial damages every year, making them one of the most dangerous threats facing today’s businesses. They’re organized, sophisticated and only growing more powerful with the advent of Generative AI (GenAI). Armed with advanced tools and an array of tried-and-true attack strategies, fraud rings have perfected the art of flying under the radar and circumventing traditional fraud detection tools. Their ability to adapt and innovate means they can identify and exploit vulnerabilities in businesses' fraud stacks; if you don’t know how fraud rings work and the right signs to look for, you may not be able to catch a fraud ring attack until it’s too late. What is a fraud ring? A fraud ring is an organized group of cybercriminals who collaborate to execute large-scale, coordinated attacks on one or more targets. These highly sophisticated groups leverage advanced techniques and technologies to breach fraud defenses and exploit vulnerabilities. In the past, they were primarily humans working scripts at scale; but with GenAI they’re increasingly mobilizing highly sophisticated bots as part of (or the entirety of) the attack. Fraud ring attacks are rarely isolated incidents. Typically, these groups will target the same victim multiple times, leveraging insights gained from previous attack attempts to refine and enhance their strategies. This iterative approach enables them to adapt to new controls and increase their impact with each subsequent attack. The impacts of fraud ring attacks far exceed those of an individual fraudster, incurring significant financial losses, interrupting operations and compromising sensitive data. Understanding the keys to spotting fraud rings is crucial for crafting effective defenses to stop them. Uncovering fraud rings There’s no single tell-tale sign of a fraud ring. These groups are too agile and adaptive to be defined by one trait. However, all fraud rings — whether it be an identity fraud ring, coordinated scam effort, or large-scale ATO fraud scheme — share common traits that produce warning signs of imminent attacks. First and foremost, fraud rings are focused on efficiency. They work quickly, aiming to cause as much damage as possible. If the fraud ring’s goal is to open fraudulent accounts, you won’t see a fraud ring member taking their time to input stolen data on an application; instead, they’ll likely copy and paste data from a spreadsheet or rely on fraud bots to execute the task. Typically, the larger the fraud ring attack, the more complex it is. The biggest fraud rings leverage a variety of tools and strategies to keep fraud teams on their heels and bypass traditional fraud defenses. Fraud rings often test strategies before launching a full-scale attack. This can look like a small “probe” preceding a larger attack, or a mass drop-off after fraudsters have gathered the information they needed from their testing phase. Fraud ring detection with behavioral analytics Behavioral analytics in fraud detection uncovers third-party fraud, from large-scale fraud ring operations and sophisticated bot attacks to individualized scams. By analyzing user behavior, organizations can effectively detect and mitigate these threats. With behavioral analytics, businesses have a new layer of fraud ring detection that doesn’t exist elsewhere in their fraud stack. At a crowd level, behavioral analytics reveals spikes in risky behavior, including fraud ring testing probes, that may indicate a forthcoming fraud ring attack, but would typically be hidden by sheer volume or disregarded as normal traffic. Behavioral analytics also identifies the high-efficiency techniques that fraud rings use, including copy/paste or “chunking” behaviors, or the use of advanced fraud bots designed to mimic human behavior. Learn more about our behavioral analytics solutions and their fraud ring detection capabilities. Learn more