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For businesses across all sectors solutions that improve productivity are more important than ever. As technology advances, organizations across industries are looking to capitalize by investing in artificial intelligence (AI) solutions. Studies have recently shown that productivity is a leading measure of how well these AI tools are performing. About 60% of organizations surveyed are using “improved productivity” as a metric to measure the success of implementing AI solutions.[1] Experian research shows it takes an average of 15 months to build a model and put it into production. This can hinder productivity and the ability to quickly go to market. Without a deep understanding of key data points, organizations may also have difficulty realizing time to value efficiently. To improve upon the modeling lifecycle, businesses must examine the challenges involved in the process. The challenges of model building One of the most significant challenges of the modeling lifecycle is speed. Slow modeling processes can cause delays and missed opportunities for businesses which they may have otherwise capitalized on. Another difficulty organizations face is having limited access to high-quality data to build more efficient models. Without the right data, businesses can miss out on actionable insights that could give them a competitive edge. In addition, when organizations have inefficient resources, expenses can skyrocket due to the need for experts to intervene and address ongoing issues. This can result in a steep learning curve as new tools and platforms are adopted, making it difficult for organizations to operate efficiently without outside help. Businesses can combat these challenges by implementing tools such as artificial intelligence (AI) to drive efficiency and productivity. The AI journey While generative AI and large language models are becoming more prevalent in everyday life, the path to incorporating a fully functional AI tool into an organization’s business operations involves multiple steps. Beginning with a proof of concept, many organizations start their AI journey with building ideas and use cases, experimentation, and identifying and mitigating potential pitfalls, such as inaccurate or irrelevant information. Once a proof of concept reaches an acceptable state of validity, organizations can move on to production and value at scale. During this phase, organizations will select specific use cases to move into production and measure their performance. Analyzing the results can help businesses glean valuable information about which techniques work most effectively, so they can apply those techniques to new use cases. Following successful iterations of an efficiently functioning AI, the organization can then implement that AI as a part of their business by working the technology into everyday operations. This can help organizations drive productivity at scale across various business processes. Experian’s AI journey has been ongoing, with years of expertise in implementing AI into various products and services. With a goal of providing greater insights to both businesses and consumers while adhering to proper consumer data privacy and compliance, Experian is committed to responsibly using AI to combat fraud and foster greater financial access and inclusion. Our most recent AI innovation, Experian Assistant, is redefining how financial organizations improve productivity with data-driven insights. Introducing Experian Assistant Experian Assistant, a new GenAI tool announced in October at Money20/20 in Las Vegas, is helping organizations take their productivity to the next level by drastically speeding up the modeling lifecycle. To drive automation and greater intelligence for Experian partners, Experian Assistant enables users to interact with a virtual assistant in real time and offers customized guidance and code generation for our suite of software solutions. Our experts – Senior Director of Product Management Ankit Sinha and Director of Analyst Relations Erin Haselkorn – recently revealed the details of how Experian Assistant can cut down model-development timelines from months to days, and in some cases even hours. The webinar, which took place on November 7th, covered a wide range of features and benefits of the new tool, including:  Spending less time writing code  Enhancing understanding of data and attributes Accelerating time to value Improving regulatory compliance A case study in building models faster Continental Finance Company, LLC’s Chief Data Scientist shared their experience using Experian Assistant and how it has improved their organization’s modeling capabilities: “With Experian Assistant, there is a lot of efficiency and improvement in productivity. We have reduced the time spent on data building by almost 75%, so we can build a model much quicker, and the code being generated by Experian Assistant is very high quality, enabling us to move forward much faster.” For businesses looking to accelerate their modeling lifecycle and move more quickly with less effort, Experian Assistant provides a unique opportunity to significantly improve productivity and efficiency. Experian Assistant tech showcase Did you miss the Experian Assistant Tech Showcase webinar? Watch it on demand here and visit our website to learn more. Visit our website [1] Forrester’s Q2 AI Pulse Survey, 2024

By Erik Hjermstad, VP of Product Management for Experian Automotive In today's digital landscape, where consumers increasingly turn to connected TV and addressable TV for entertainment, precision targeting has become more critical than ever for automotive advertisers. By delivering highly relevant ads to the most likely potential customers, advertisers can maximize campaign effectiveness, increase conversion rates, and ultimately drive a better return on investment (ROI). The following is a summary from a recent article I wrote for Ad Age. The Power of Precision Targeting Precision targeting allows advertisers to focus their efforts on the right people with the right message at the right time. This targeted approach helps minimize wasted ad spend and ensures that every dollar invested makes a meaningful impact. By understanding an audience's demographics, interests, and behaviors, automotive marketers can tailor their messaging to resonate with specific consumer segments and pointedly reach those ready to purchase. Leveraging Data Intelligence for Competitive Advantage To stay competitive, automotive marketers must stay on top of the latest data intelligence. Agencies and marketers have turned to data-driven strategies to set their campaigns apart and increase the likelihood of a consumer purchasing a vehicle. When choosing their consumer audiences, automotive marketers turn to companies like Experian Automotive for data like license, registration, and title. They utilize models based on actual vehicle sales and ownership to target the right audience and measure effectiveness more accurately. Measuring Success: Key Metrics and Omnichannel Measurement To ensure that advertising campaigns deliver results, automotive marketers must have a robust measurement strategy. This involves tracking key metrics such as: Sales: Did the buyer purchase a vehicle? Impressions: The number of times an ad is seen. Clicks: The number of times an ad is clicked on. Conversions: The number of people who take a desired action, such as purchasing. Cost per acquisition (CPA): The cost of acquiring a new customer. Return on ad spend (ROAS): The revenue generated by an ad campaign divided by the cost of the campaign. Experian Automotive offers advertisers a robust measurement solution that provides omnichannel measurement, connecting website visitation and ad exposures to automotive sales. Analysis includes make, model, and vehicle class reporting, competitive analysis, and 30-, 60-, and 90-day vehicle sales projections. The Importance of Omnichannel Measurement In today's interconnected world, automotive consumers interact with brands across multiple channels, including TV, digital, social media, and in-store. Advertisers must adopt an omnichannel measurement approach to truly understand their audience and measure the effectiveness of their campaigns. By tracking consumer behavior across all channels, advertisers can gain a more complete picture of the customer journey and identify opportunities for optimization. Omnichannel measurement integrates data from various sources, such as website analytics, social media metrics, and point-of-sale data. This allows advertisers to understand how consumers interact with their brand at different stages of the buying process and attribute conversions to specific channels and touchpoints. By leveraging omnichannel measurement, advertisers can make more informed decisions about their marketing investments and deliver a more cohesive and personalized customer experience. Measurement is critical to advertising success for several reasons: Optimization: By tracking key metrics, advertisers can identify what is working versus what is not and make necessary adjustments to improve campaign performance. Attribution: Measurement helps determine which marketing channels and tactics drive the most conversions. ROI analysis: By measuring the ROI of their campaigns, advertisers can justify their marketing investments and demonstrate the value they bring to the business. Navigating the Challenges of the Streaming Era While precision targeting and measurement are essential in the streaming era, advertisers face unique challenges. The fragmented nature of the streaming landscape, with its multiple platforms and devices, can make it challenging to track consumer behavior and measure campaign effectiveness. However, advancements in data technology and measurement tools provide advertisers with many new opportunities to overcome these challenges. By leveraging data intelligence, using deterministic data models to understand their audience, and tracking key metrics, advertisers can deliver highly relevant ads that drive results and maximize their ROI.

The advent of artificial intelligence (AI) is significantly transforming the landscape of real estate fraud, enabling criminals to execute complex schemes like deed theft with greater ease. A notable case involves Spelling Manor, a $137.5 million mansion in Los Angeles, where the owner alleges they are entangled in deed fraud. Scammers reportedly filed fraudulent documents that have prevented the owner from selling the estate, thwarting offers from buyers, including former Google CEO Eric Schmidt. Understanding deed/title fraud Deed fraud, also known as title or property fraud, occurs when someone illegally transfers ownership of a property without the owner’s knowledge or consent. Typically, fraudsters create fake documents or forge the owner’s signature on a deed to make it look like the property has been legally transferred to them. Once the title is in their name, they may try to sell or mortgage the property, leaving the original owner unaware until it’s too late. How deed fraud works Identify a target: Fraudsters often look for properties that appear vulnerable, such as vacant land, unoccupied homes, or properties owned by elderly individuals who may not check their records frequently. Forge documentation: Using fake IDs and forged signatures, scammers create documents that appear to show a legitimate transfer of ownership. With modern technology, these documents can look highly convincing. Record the fake deed: Fraudsters then file these documents with the local county clerk or recorder’s office. This officially changes the ownership records, making it seem as if the scammer is the legitimate owner. Exploit the ownership: Once listed as the owner, the fraudster may sell the property to an unsuspecting buyer, take out loans against it, or even rent it out. The impact on victims In the summer of 2024, Elvis Presley’s family got confronted to a forged deed scam. A fake firm, Naussany Investments, falsely claimed Lisa Marie Presley owed millions and used Graceland as collateral. They placed a foreclosure notice and attempted to auction the estate. Riley Keough filed a lawsuit, exposing the firm as fraudulent and halting the foreclosure through a judge’s injunction. Lisa Jeanine Findley, who forged documents and posed as firm employees, was arrested and charged with deed forgery fraud and identity theft. She faces up to 22 years in prison if convicted.  The FBI's Internet Crime Complaint Center does not specifically monitor deed fraud. However, in 2023, it processed a total of 9,521 real estate-related complaints defined as the loss of funds from a real estate investment, resulting in more than $145 million in losses. Victims of deed fraud can face severe financial and legal issues. They may discover the fraud only when trying to sell, refinance, or even pay taxes on the property. Reversing deed fraud typically requires a costly and time-consuming legal process, as courts must determine that the transfer was fraudulent and restore the original owner’s rights. Prevention and safeguards There are several preventive measures and fraud prevention solutions that can be established to help mitigate the risks associated with deed/title fraud. These include: For lending institutions: Enhanced ID verification: Implement multi-factor identity checks at the loan approval stage. Regular portfolio audits: Conduct periodic audits to detect unusual property transfers and title changes in their loan portfolios. For title companies: AI-driven document verification tools: Use machine learning algorithms to identify inconsistencies in deed and ownership documents. Real-time fraud monitoring: Employ analytics to track suspicious behavior patterns, such as rapid ownership changes. Seller authentication: Require biometric or multi-step identity verification for anyone claiming ownership or initiating sales. For realtors: Training and awareness: Educate realtors on how to spot warning signs of fraudulent listings and seller impersonations. Pre-transaction verification: Collaborate with title companies to validate ownership early in the listing process. Acting with the right solution Mortgage fraud is a constant threat that demands ongoing vigilance and adaptability. As fraudsters evolve their tactics, the mortgage industry must stay one step ahead to safeguard homeowners and lenders alike. With concerns over deed/title-related fraud rising, it is vital to raise awareness, strengthen preventive measures, and foster collaboration to protect the integrity of the mortgage market. By staying informed and implementing robust safeguards, we can collectively combat and prevent mortgage fraud from disrupting the financial security of individuals and the industry. Experian mortgage powers advanced capabilities across the mortgage lifecycle by gaining market intelligence, enhancing customer experience to remove friction and tapping into industry leading data sources to gain a complete view of borrower behavior. Visit our website to see how these solutions can help your business prevent deed fraud. Learn more

Summary:  Gen Z, Millennials, Gen X, and Boomers each have unique automotive buying preferences and your strategies to reach each generation should reflect these preferences. The automotive landscape is shaped by the distinct preferences of different generations. From Gen Z to Boomers, each generation brings unique buying habits that automotive marketers must understand to stay competitive. Below is a brief overview of the key insights from the latest reports on Gen Z, Millennials, Gen X, and Boomers. To learn more about how to market to each generation, download the respective playbook. Gen Z (Born 1996–2015) Gen Z buyers are digital natives who prefer compact vehicles. The Honda Civic leads in market share for this group, showcasing their preference for smaller, fuel-efficient cars. They rely heavily on digital platforms for their research, with 73% of impressions delivered through Connected TV (CTV). Millennials (Born 1981–1995) Millennials value technology and eco-friendly options. Crossovers (CUVs) are their top choice, making up 50.2% of new vehicle registrations. Electric and hybrid vehicles are also popular, reflecting their environmental consciousness. Popular models include the Honda Civic and Toyota RAV4. Gen X (Born 1965–1980) Gen X buyers favor practicality and reliability, gravitating toward SUVs and trucks. The Ford F-150 is the top model among this group, and they are more likely to invest in luxury or exotic vehicles than younger generations. Boomers (Born 1946–1964) Boomers remain loyal to traditional brands, with a strong preference for non-luxury and luxury cars, such as the Honda CR-V and Ford F-150. They also favor gas-powered vehicles over electric, though hybrid options are gaining ground. Summary Understanding generational differences is crucial to developing effective marketing strategies that resonate with each group’s unique preferences. For a more detailed generational analysis, download the full report. Experian Automotive is here to help you with your marketing needs. If you’d like to learn more about our solutions and how we can support you, contact us below.

The open banking revolution is transforming the financial services landscape, offering banks and financial institutions unprecedented access to consumer-permissioned data. However, during our recent webinar, “Navigating Open Banking: Strategies for Banks and Financial Institutions,” over 78% of attendees stated that they do not currently have an open banking strategy in place. This highlights a significant gap in the industry. By tapping into consumer-permissioned data, you can develop more personalized products, streamline credit decisioning, and improve overall customer engagement. With the right strategies, open banking offers a pathway to growth, innovation, and enhanced customer experiences. Here’s a snippet from the webinar’s Q&A session with Ashley Knight, Senior Vice President of Product Management, who shared her perspective on open banking trends and opportunities. Q: What specific analytic skill is the most important when working on open banking data?A: The ability to parse and transform raw data, a deep understanding of data mining, experience in credit risk, and general modeling skills to improve underwriting. Q: What lessons did the U.S. learn from the experience of other countries that implemented open banking? A: The use cases are common globally; typical uses of open banking data include second-chance underwriting to help score more consumers and customer management, which involves assessing cashflow data to leverage on an existing portfolio (first-party data). This can be used in various ways, such as cross-sell, up-sell, credit line increase, and growing/retaining deposits. Q: Does Experian have access to all a consumer’s bank accounts in cases where the consumer has multiple accounts?A: Data access is always driven by consumer permission unless the organization owns this data (i.e., first-party data). Where first-party data is unavailable, we collect it through clients or lenders who send it to us directly, having gained the proper consent. Yes, we can intake data from multiple accounts and provide a categorization and attribute calculation. Q: Where does the cashflow data come from? Is it only credit card spending?A: It includes all spending data from bank accounts, checking accounts, credit cards, savings, debit cards, etc. All of this can be categorized, and we can calculate attributes and/or scores based on that data. Q: What is the coverage of Experian’s cashflow data, and how is it distributed across risk bands?A: Cashflow data moves through Experian directly from consumer permissioning for B2B use cases or from institutions with first-party data. We perform analytics and calculate attributes on that portfolio. Don’t miss the chance to learn from our industry leaders on how to navigate the complexities of open banking. Whether you are a seasoned professional or just starting to explore its potential, this webinar will equip you with the knowledge you need to stay ahead. Watch on-demand recording Learn more Meet our expert Ashley Knight, Senior VP of Product Management, Experian Ashley leads our product management team focusing on alternative data, scores, and open banking. She fosters innovation and drives financial inclusion by using new data, such as cash flow, analytics, and Experian’s deep expertise in credit.

This series will explore our monthly State of the Economy report, which provides a snapshot of the top monthly economic and credit data for financial service professionals to proactively shape their business strategies. After the Federal Reserve announced its first cut since 2020 in September, several pieces of economic data have surpassed expectations. Job creation was almost double economists’ estimates, unemployment ticked down, and personal incomes were revised up. Alongside these areas of strength, inflation continued to prove stubborn. The October State of the Economy report fills in the rest of the developing macroeconomic story. This month’s highlights include:  Unemployment decreased for the second month in a row, down to 4.1%. Core inflation increased from 3.2% to 3.3%, driven by shelter and service costs. Negative rental payment activity has declined 1.9% over the past year. Check out our report for a detailed analysis of the rest of this month’s data, including the latest trends in originations, retail sales, and consumer sentiment. Download October's report As our economy continues to fluctuate, it's critical to stay updated on the latest developments. Subscribe to our new series, The Macro Moment, for economic commentary from Experian NA’s Chief Economist, Joseph Mayans, with additional economic resources, including our new Lending Conditions Chartbook and our new Labor Market Monitor. For more economic trends and market insights, visit Experian Edge.

The Fed finally made their long-awaited rate cut. Hooray! The industry is saved! Brush off the dust everyone, it’s time to start originating mortgages like it’s 2006 again! Not so fast. While it's true that there are opportunities to take advantage of now that rates have declined, there remain open questions: How much further will rates decline? So far, only this single drop has been signaled. How many customers will realize benefit from a rate & term refinance offer given the rate drop(s)? What does this rate drop mean for the purchase market given that home prices remain at all-time highs? To put it simply, there are lending opportunities for home lenders (mortgage and home equity), but only for those with the ability to effectively leverage data and analytical strategies to identify and execute on the pockets of opportunity. By “pockets of opportunity,” we mean the following categories of consumers will benefit from specific mortgage or home equity offers. Rate & term refi: According to Experian research, over 83% of mortgages have an interest rate below 6.5%. This means that only the loans originated in the past couple of years (including one held by your author) will be eligible for a rate & term refi. The dollar amount on these loans will be high along with the interest rates, so even a minor savings on the interest rate will translate to potentially hundreds of thousands of dollars in lifetime interest savings for the borrowers. Being able to accurately identify which borrowers have an interest rate that is higher than the rate you can offer them is key to efficiently targeting and originating rate & term refinances. Cashout refi: Equity levels exploded over the past several years for homeowners. Home prices show no sign of slowing down and home equity continues to be a significant, and in many cases untapped, financial resource for borrowers. A cashout refi is an excellent option for those consumers with high amounts of available equity in their homes. Some borrowers may choose to originate a cashout refinance loan even if the interest rate is similar to their existing rate, such is the value of partially liquidating their equity position. Having the consumer-level data to identify what equity positions are and the current interest rate is crucial to crafting personalized, effective marketing offers. The ability to target qualified customers with a personalized offer is critical given that in August 2024, over 2.9 million cashout direct mail offers were mailed to consumers.1 Streamlined refi: The VA and FHA have streamlined refinance programs that minimize the consumer lift to refinance their loan. Additionally, there are also non-VA and FHA loans that could benefit from what is called an “Express Title,” which removes the need for a full title workup and expedites the originations process. Borrowers that meet the criteria for these streamlined refinance offers can be identified using credit data. Since these refinances are easier for consumers, they will be more likely to respond and book a refinance offer, which means more ROI for your marketing spend. Home equity lines/loans: Similar to cashout refi, home equity products are an option for consumers to access the equity they have in their price-appreciated homes. Although this is no mystery to most lenders, many lenders do not leverage adequate data or analytics to identify the needle in the haystack of customers that still remain to be targeted. Experian data shows over $25B in monthly HELOC originations as of August 2024. Understanding which consumers have a second lien position available, how much equity they have by leveraging trade-level mortgage data and Automated Valuation Model (AVM) data, and other methods can help your home equity products stand out from the sea of offers in the mail and online. At Experian, we help our clients target and originate all four categories of borrowers: rate & term refinancers, cashout refinancers, streamlined refinancers, and home equity borrowers. Crafting a marketing strategy with the accurate data to precisely identify which consumers qualify for which product is crucial to making the most of your marketing spend. Without the guidance of such data and the personalized offers they enable, your marketing message is liable to be lost among all of the other direct mail and email blasts. Market with confidence Crafting an effective holistic marketing strategy across these segments is crucial to campaign success. Consider these borrower situations and prepare to respond with confidence: Does the consumer have a high interest rate? Would the consumer benefit from a quick rate & term refi? If yes, ship the offer out. Does the consumer have a significant equity position and outstanding revolving debt balances, but not qualify for a rate & term due to a relatively low rate? If yes, ship them a cashout refi offer with language about using their equity to pay off revolving debt. Does the consumer meet the criteria for a streamlined refi, and would they benefit financially from such an offer? If yes, ship them a VA IRRRL (Interest Rate Reduction Refinance Loan), FHA streamline, or an offer to cover their refi title expenses if they qualify for an express title. Does the consumer have an open second lien on their primary residence, but not qualify for either kind of refi? If yes, ship them a home equity offer. By creating this kind of specialized marketing waterfall, lenders can ensure they have valuable offers for all borrowers, not just for a specialized market. Such strategies allow you to target your existing portfolio or a prospect population to facilitate portfolio growth and prevent portfolio attrition. Be sure to join our upcoming webinar, "Return of the Refi: Top Lending Strategies for Becoming a Refi Master." Register now and learn more about how Experian can help you win more mortgage and home equity customers in this declining rate environment. Register now Learn more 1 Mintel data

In this article...Understanding the scope of fintech fraudThe importance of fintech fraud preventionSynthetic identity (ID) fraud: A growing threatHow fintech fraud detection and prevention are evolvingGet started today The integration of technology with traditional financial services has unlocked unprecedented convenience and opportunities for consumers and businesses alike. However, this digital shift has opened the door for more sophisticated fraud tactics. With fraudsters continuously refining their methods, fintech companies must invest in advanced fintech fraud detection and prevention solutions. Understanding the scope of fintech fraud As fintech platforms expand, they also attract the attention of cybercriminals. The accessibility of digital financial services can create vulnerabilities that fraudsters exploit, executing everything from personal account takeovers to larger-scale breaches involving synthetic identities.  Source: Experian’s 2024 U.S. Identity & Fraud Report To counter these threats, fintech companies must deploy innovative fraud management solutions powered by artificial intelligence (AI), machine learning (ML), and advanced analytics. Unlike traditional methods that often rely on static rules and manual reviews, these solutions can process vast amounts of data, learn from historical patterns, and detect anomalies in real-time. This allows organizations to identify suspicious activities before they lead to significant losses. The importance of fintech fraud prevention While detecting fraud is crucial, preventing it from occurring in the first place is even more important. Fraud prevention solutions aim to create robust systems that stop fraudsters in their tracks before they can cause damage. With the rise of digital financial services, the need for proactive fraud prevention measures has never been greater. These solutions protect both consumers and businesses from financial harm, reducing the risk of financial loss and reputational damage. Advanced fraud prevention solutions employ multi-layered strategies, combining AI-driven fraud detection tools with methods such as multifactor authentication and biometric identity verification. These tools create an extra layer of security, making it difficult for fraudsters to access sensitive data or execute fraudulent transactions. Experian’s fraud prevention solutions offer businesses a comprehensive suite of tools designed to prevent various types of fraud. From real-time transaction monitoring to sophisticated user authentication methods, these solutions provide the protection businesses need to stay ahead of evolving fraud tactics. Synthetic identity (ID) fraud: A growing threat One of the most concerning forms of fraud that fintech companies face is synthetic ID fraud. This type of fraud involves the creation of a fake identity using a combination of real and fabricated information. Fraudsters often steal pieces of personal data—such as Social Security numbers or addresses—and then combine them with fictional information to create a new, synthetic identity. These synthetic identities can be used to open bank accounts, apply for credit cards, or take out loans, leaving businesses and consumers vulnerable to significant financial losses. Synthetic ID fraud is particularly difficult to detect because the synthetic identity often looks legitimate to traditional verification systems. As a result, fintech companies must deploy sophisticated fraud detection systems that can identify synthetic identities before they’re used to commit fraud. Machine learning algorithms, for instance, can analyze behavioral data, detecting discrepancies that may indicate a synthetic identity. Experian is ranked #1 by the Center for Financial Professionals (CeFPro®) for Identity and Fraud. The ranking appeared in CeFPro’s Fintech Leaders Report, a comprehensive annual study of the fintech industry. How fintech fraud detection and prevention are evolving As fraudsters continue to evolve their tactics, fintech companies must remain one step ahead by investing in cutting-edge fraud detection and prevention technologies. Real-time monitoring, predictive analytics, and biometrics are just a few of the technologies shaping the future of fraud detection. By integrating these technologies into their fraud management processes, fintech companies can offer a more secure and seamless experience for their users. With the acquisition of NeuroID, an industry leader in behavioral analytics, Experian has amplified its fraud risk suite by providing a new layer of insight into digital behavioral signals and analytics. Available through our fraud solutions on the Experian Ascend Technology PlatformTM, clients can proactively monitor and analyze a user’s real-time digital behavior, allowing them to confidently navigate the online landscape and provide frictionless customer experiences. Get started today As the fraud landscape continues to evolve, fintech companies must adopt comprehensive solutions to stay ahead of emerging threats. By doing so, they can protect themselves and their customers, ensuring the continued success of digital financial services in the years to come. To learn more, check out our fraud management and fintech solutions. Fraud management solutions Fintech solutions This article includes content created by an AI language model and is intended to provide general information. In this article...

Online fraud has increased exponentially over the past few years, with the Federal Trade Commission (FTC) data showing that consumers reported losing more than $10 billion to fraud in 2023. This marks the first time that fraud losses have reached that benchmark, and it’s a 14% increase over reported losses in 2022. As a result, e-commerce merchants and retailers have reacted by adding friction to e-commerce interactions.   The risk is that a legitimate user may be denied a purchase because they have incorrectly been labeled a fraudster — a “false decline.” Now, as the holiday shopping season approaches, e-commerce merchants expect a surge in online spending and transactions, which in turn creates concern for an uptick in false declines.   In a recent webinar, Experian experts Senior Vice President of Business Development and eCommerce Dave Tiezzi and Senior Director of Product Management Jose Pallares explored strategies for how e-commerce merchants can determine the risk level of a transaction and ensure that they do not miss out on genuine purchases and good customers. Below are a few key perspectives from our speakers:  What are the biggest challenges posed by online card transactions?  DT: One of the biggest issues merchants face is false declines. In the report, The E-Commerce Fraud Enigma: The Quest to Maximize Revenue While Minimizing Fraud Experian and Aite-Novarica Group (now Datos Insights) found that 1.16% of all sales are unnecessarily rejected by merchants. While this percentage may seem small, it represents significant revenue loss during the high-volume holiday shopping season. The report also highlights that 16% of all attempted online transactions encounter some form of friction due to suspected fraud. Alarmingly, 70% of that friction is unnecessary, meaning it’s not preventing fraud but instead disrupting the purchasing process for legitimate customers. This friction translates into a poor online shopping experience, often resulting in cart abandonment, lost sales and a decline in customer loyalty.  What are the key consumer trends and expectations for the upcoming holiday season?  DT: Experian's 2024 Holiday Spending Trends and Insights Report reveals that while 35% of holiday shopping in 2023 occurred in December, peaking at 9% the week before Christmas, Cyber Week in November also represented 8% of total holiday sales. This highlights the importance for merchants to be prepared well before the holiday rush begins in November and extends through December. As they gear up for this high-volume season, merchants must also prioritize meeting consumer expectations for speed, ease and security—which are top-of-mind for consumers. According to our 2024 U.S. Identity & Fraud Report, 63% of consumers consider it extremely or very important for businesses to recognize them online, while 81% say they’re more trusting of businesses that can accomplish easy and accurate identification. They’re also wary of fraud, ranking identity theft (84%) and stolen credit card information (80%) as their top online security concerns. Considering these trends, it’s important for merchants to ensure seamless and secure transactions this holiday season.   False declines are a persistent problem for e-commerce merchants, especially during the holidays. How can merchants minimize these declines while protecting consumers from fraud? What best practices can merchants adopt to address these risks?  JP: False declines often result from overly cautious fraud detection systems that flag legitimate transactions as suspicious. While it’s essential to prevent fraud, turning away legitimate customers can severely impact both revenue and customer satisfaction. To minimize false declines, merchants should leverage advanced fraud prevention tools that combine multiple data points and behavioral insights. This approach goes beyond basic fraud detection by using attributes such as customer behavior, transaction patterns and real-time data analysis. Solutions incorporating NeuroID’s behavioral analytics and signals can also better assess whether a transaction is genuine based on the user’s interaction patterns, helping merchants filter out bad actors and make more informed decisions without disrupting the customer experience. What actionable strategies should e-commerce brands or merchants implement now to reduce cart abandonment and ensure a successful holiday season?  JP: One of the most effective tools we offer is Experian Link™, a credit card owner verification solution designed to reduce false declines while protecting against fraud. Experian Link helps e-commerce merchants and additional retailers accurately assess transaction risk by answering a key question: Does this consumer own the credit card they presented for payment? This ensures that legitimate customers aren’t mistakenly turned away while suspicious transactions are properly flagged for further review. By adopting a multilayered identity and fraud prevention strategy, merchants can significantly reduce false declines, offer a frictionless checkout experience and maintain robust fraud defenses—all of which are essential for a successful holiday shopping season.   Are there any examples of a retailer successfully leveraging credit card owner verification solutions? What were the results?  JP: Yes. We recently partnered with a leading U.S. retailer with a significant online presence. Their primary goals were to reduce customer friction, increase conversion and identify their customers accurately. By leveraging Experian Link and its positive signals, the retailer could refine, test and optimize their auto-approval strategies. As a result, the retailer saw an additional $8 million in monthly revenue from transactions that would have otherwise been declined. They also achieved a 10% increase in auto-approvals, reducing operating expenses and customer friction. By streamlining backend processes, they delivered a more seamless shopping experience for their customers.   Stay ahead this holiday season  For more expert insights on boosting conversions and enhancing customer loyalty, watch our on-demand webinar, Friction-Free Festivities: Strategies to Maximize Conversion and Reduce False Declines, hosted by the Merchant Risk Council (MRC). Additionally, visit us online to learn more about how Experian Link can transform your business strategy. Watch on-demand webinar Visit us The webinar is available to MRC members. If you’re already a member, you can access this resource here. Not a member? Our team would be happy to schedule a demo on Experian Link and discuss strategies to help your business grow. Get in touch today. 

As the desire for flexibility and affordability continues to grow across the overall vehicle market, it seems the trend is carrying over into the electric vehicle (EV) space—resulting in more manufacturers rolling out new models as the number of consumers opting for the electric fuel type rises. According to Experian’s Automotive Consumer Trends Report: Q2 2024, non-luxury EV registrations grew to 26.6%, from 22.7% last year, while exotic and luxury declined from 77.3% to 73.4% year-over-year. Furthermore, of the 291.1 million vehicles on the road in Q2 2024, EVs accounted for over 3.5 million, an increase from more than 2.7 million last year. Historically, EVs were often viewed as luxury vehicles that offered limited model availability to choose from. Though, it’s notable that as more non-luxury models are introduced, the EV market share is witnessing a shift in consumer preference. For instance, Ford led the new retail non-luxury EV market at 21.9% in Q2 2024, from 24.0% last year. Hyundai increased from 15.2% to 19.3% year-over-year, Chevrolet decreased from 24.2% to 13.2%, Kia went from 9.2% to 12.5%, and Volkswagen declined to 11.2% this quarter, from 15.8% in Q2 2023. Consumers continue to embrace EVs While understanding the current EV market share allows automotive professionals to assist in-market shoppers more effectively, leveraging multiple data points allows for a more nuanced perspective while helping them prepare for the future as the market continues to evolve. It’s notable that 77.4% of EV owners replaced their current EV with another one in the last 12 months. Meanwhile, 16.2% transitioned to a gasoline fuel type and 3.2% switched to a hybrid. With the EV model lineup expanding, consumers are potentially intrigued by the new options or holding steadfast to a manufacturer. Regardless, the majority of current EV owners are remaining loyal to the fuel type. However, data found that 81% of households with at least one EV also own a gasoline-powered vehicle, 14% also own a hybrid, and 12% own an additional EV. There are a number of factors that can play a role in owning another vehicle alongside an EV—such as range anxiety or tasks that require a larger and more versatile vehicle—so having a secondary option allows consumers to maintain the flexibility to meet diverse transportation needs. To learn more about EV insights, view the full Automotive Consumer Trends Report: Q2 2024 presentation.

Colorado has a great deal to offer first-time homebuyers (FTHBs). While the Denver area attracts many people with its combination of outdoor recreation, culture, and economic opportunities, other parts of Colorado are worthy of attention as well. Take Colorado Springs for example – it ranks third among best places to live in the U.S. when considering lifestyle, the job market, and overall popularity.1 Overview of the Colorado FTHB market Colorado accounts for 2.15% of all U.S. first-time homebuyers, according to Experian Housing’s recent first-time homebuyer report. This figure puts Colorado in the top 20 of all states across the country. Colorado's charm holds a special appeal for younger generations. Known for its wealth of enriching experiences, Colorado naturally attracts adventure-seekers. With an array of outdoor activities like hiking and skiing, it's no wonder that Generation Y and Generation Z make up 75% of all first-time homebuyers in the state, surpassing the national average of ~70%. Affordability With three-quarters of all FTHBs in the younger market segments, affordability is a key consideration in buying a home as housing costs are a significant part of an individual or family’s overall cost of living.2 What determines affordability? Affordability can be assessed through various metrics. For the purposes of this study, Experian Housing defined affordability by calculating the rent-to-mortgage ratio (RTM). This involves comparing monthly rent payments to monthly mortgage payments. A higher rent-to-mortgage ratio suggests renters may find mortgage payments more feasible, potentially making home buying a more appealing option. Comparison of rent costs to mortgage costs What we observed: Based on the RTM ratio, home buying is most affordable in Colorado Springs, Pueblo, and Castle Rock, while renting may look more attractive in Lakewood, Fort Collins, and Arvada. Additional measures to consider: Other realities play a key role in determining what is affordable. A prospective homebuyer’s income, monthly expenses, downpayment funds available, and the cost of the rent or mortgage payment as an added expense against income, factor heavily in final decision-making. In this regard, Experian Housing examined other metrics for assessing affordability. Debt-to-income What we observed: Down payments Sample of CO data observations: (High, mid, low down payments) Sale prices and income What we observed: Experian Housing examined the median sales prices and median incomes across the U.S. This metric is useful to see how much of one’s income typically is going to housing costs in a given area, which again, impacts overall cost of living. Comparison is essential because while sales prices may be higher in a given area, correlation with income helps determine affordability. A closer look at Colorado Springs Colorado Springs ranks #1 in affordability based on Experian’s research, and its status of best affordable place to live considering overall living costs, jobs, and livability is solid.4 The younger generation is the fastest growing population in Colorado Springs. Colorado Springs is expected to be the largest city in the state by 2050 given its current rate of growth and expansion.5 In addition to its five military installations, with a huge U.S. Air Force presence, key job sectors include the larger defense industry, education, technology, and manufacturing. Affordability coupled with opportunity and lifestyle suggest Colorado Springs deserves a closer look and area mortgage lenders have a lot to tout. Experian’s data system offers unique value to lenders given the ability to take a more comprehensive look at a borrower’s financial behavior. Experian uses credit, property, rental, and other alternative data sources to capture the borrower profile. Access to such data also gives Experian a unique ability to conduct research for reports like this one, and the recent reports on Texas and Florida. For more information about the lending possibilities for first-time homebuyers, download our white paper and visit us online. Download white paper Learn more 1 US News & World Report: Best Places to Live in the US 2024-2025 https://realestate.usnews.com/places/rankings/best-places-to-live 2 https://www.experian.com/blogs/insights/top-destinations-for-first-time-homebuyers/ 3 Arvada, Lakewood and Castle Rock, part of the Denver Metro Area and what is popularly known as the Front Range Urban Corridor, also have price to income ratios of 2.8%. 4 https://www.sofi.com/best-affordable-places-to-live-in-colorado/ 5 Colorado Springs Chamber & EDC, coloradospringschamberedc

In today’s digital age, call center fraud is a growing threat that businesses can no longer afford to ignore. As fraudsters become increasingly sophisticated, it’s crucial for companies to implement robust security measures to protect both their operations and their consumers. Various forms of call center fraud can have a significant impact on businesses. To prevent this, companies can use effective strategies including multifactor authentication solutions and account takeover prevention techniques. But first, what is call center fraud? Understanding call center fraud Call center fraud occurs when fraudsters exploit vulnerabilities in customer service operations to gain unauthorized access to sensitive information and commit identity theft. This type of fraud can take many forms, including social engineering, which occurs when a fraudster manipulates a call center agent into providing information or access, and phishing, which occurs when fraudsters use deceptive tactics to obtain confidential details from unsuspecting individuals. One of the most concerning tactics used by fraudsters is impersonation, or pretending to be legitimate consumers to gain access to accounts. Once they have access, they can make unauthorized transactions, change account details, or even take over the account entirely—a scenario known as an account takeover. The impact of these fraudulent activities can be devastating, leading to significant financial losses, damage to brand reputation, and a loss of consumer trust. Key strategies for preventing call center fraud According to recent research, account takeover fraud has increased by 330% in the past two years, projecting to cost $6.24 billion globally.[1] In addition, the number of U.S. consumers who have experienced account takeover has increased from 22% in 2021 to 29% in 2023.[2] To effectively combat call center fraud, businesses must adopt a multi-layered approach that includes advanced technological solutions, comprehensive employee training, and real-time monitoring. Here are some of the most effective strategies: 1. Implementing multifactor authentication (MFA) solutions One of the most effective ways to secure consumer interactions is by implementing multifactor authentication (MFA) solutions. MFA requires users to provide two or more verification factors to gain access to an account or complete a transaction. This adds an extra layer of security, making it significantly more difficult for fraudsters to succeed even if they have obtained some of the consumer’s information. MFA can be integrated into call center operations in several ways. For example, businesses can use voice recognition as a biometric factor, requiring consumers to verify their identity through a unique voiceprint. Other methods include sending a one-time code via text message, which the consumer must provide during the call, or using mobile app verification, where consumers approve transactions directly through their smartphones. 2. Account takeover prevention Account takeover is one of the most serious threats to call centers, as they involve fraudsters gaining control of a consumer’s account, often with disastrous consequences. To prevent account takeover, businesses can employ a combination of technological solutions and best practices. First, understanding what account takeover entails is crucial. It typically begins when a fraudster obtains some of the consumer’s personal information—often through phishing, social engineering, or a data breach. They then use this information to impersonate the consumer and convince call center agents to provide them with access to the account. To combat this, businesses can employ several account takeover prevention techniques. Anomaly detection systems can flag unusual activities, such as login attempts from unfamiliar locations or devices, prompting additional verification steps. Behavioral biometrics is another powerful tool, analyzing patterns in how users interact with their devices to detect inconsistencies that may indicate fraud. Continuous authentication, where the system continuously verifies the user’s identity throughout the session, is also effective in catching fraudsters in the act. 3. Training and awareness Technology alone may not be enough to entirely prevent call center fraud—human factors are equally important. Regular training for call center staff is essential to ensure team members can recognize and respond to potential fraud attempts. Employees should be trained to identify common tactics used by fraudsters, such as social engineering, and to follow strict verification procedures before providing any sensitive information. Awareness campaigns can also play a significant role in preventing fraud. Internally, companies should run regular campaigns to remind employees of the importance of adhering to security protocols. Externally, educating consumers about the risks of fraud and encouraging them to use security features like MFA can help reduce the likelihood of successful attacks. 4. Real-time monitoring and analytics Real-time monitoring is a critical component of an effective fraud prevention strategy. By continuously monitoring calls and transactions, businesses can quickly identify and respond to suspicious activities before they escalate. Advanced analytics tools, including voice analytics and behavior analysis, can provide valuable insights into potential fraud, allowing companies to take proactive measures. Voice analytics, for instance, can detect stress or hesitation in a caller’s voice, which may indicate that they are not who they claim to be. Behavior analysis can track how consumers typically interact with their accounts, flagging deviations from the norm as potential fraud. Continuous improvement is key here—regularly reviewing and updating monitoring protocols ensures that businesses stay ahead of evolving threats. Preventing call center fraud in your business By using a multi-layered fraud approach through a variety of authentication solutions, your business can quickly detect call center fraud without disrupting your consumers’ experience. Identify the risk Identity-based risk detection can pinpoint when a specific identity may be in the hands of fraudsters. Device intelligence solutions can recognize the risk associated with a specific device used to attempt online access. Address the risk Knowledge-based authentication (KBA) can quickly authenticate users by asking questions only they can answer, which can deter fraudsters. MFA services can generate and deliver a one-time password to a consumer’s mobile device to verify their identity in real time. Document verification allows your business to collect and verify images of identity documents uploaded from a consumer’s mobile device. Protect your business and your consumers from call center fraud Call center fraud is a significant threat that requires a proactive and comprehensive approach to prevention. By implementing strategies such as multifactor authentication solutions, account takeover prevention techniques, and robust employee training, businesses can significantly reduce their risk of falling victim to fraud. In today’s fast-paced digital world, staying vigilant and proactive is the key to safeguarding your call center against fraud. Act now to protect your business and maintain the trust of your consumers. Enable your call center to detect risk quickly and effectively with our robust fraud prevention solutions. Get started Download our identity and fraud report This article includes content created by an AI language model and is intended to provide general information. [1] Worldmetrics.org, Account Takeover Statistics: Losses to Reach $6.24 Billion Globally, 2024. [2] Security.org, Account Takeover Incidents are Rising: How to Protect Yourself in 2024.

This series will explore our monthly State of the Economy report, which provides a snapshot of the top monthly economic and credit data for financial service professionals to proactively shape their business strategies. During their September meeting, the Federal Reserve made a highly-anticipated announcement to cut rates for the first time since 2020. Fed officials cut rates by 50bps, while also penciling in an additional 50bps of cuts for 2024 and 100bps of cuts in 2025 in their Summary of Economic Projections. While rates are coming down and inflation continues to cool, there were downward revisions to job creation made in August and declining job openings in July. Data highlights from this month’s report include: The Federal Reserve announced a 50bps rate cut during the September meeting. Annual headline inflation cooled from 2.9% to 2.5%, getting closer to the Fed’s 2% goal. Mortgage originations increased 7.0% in August. Check out our report for a deep dive into the rest of this month’s data, including the latest trends in job creation, retail sales, and consumer sentiment. Download September's report As our economy continues to fluctuate, it's critical to stay updated on the latest developments. Subscribe to our new series, The Macro Moment, for economic commentary from Experian North America's Chief Economist, Joseph Mayans, and download our new Lending Conditions Chartbook for additional insights. For more economic trends and market insights, visit Experian Edge.

As a mortgage lender, understanding the intricacies of the New York housing market is crucial, especially when dealing with first-time homebuyers (FTHBs). While the housing market fluctuates nationwide, New York presents unique challenges and opportunities that require a nuanced approach. Distinguishing NYC from the rest of New York New York City's housing market, along with its suburbs, stands distinct from the rest of the state. With a high cost of living and unique lifestyle, NYC demands a tailored mortgage marketing strategy. This article will highlight key factors affecting affordability in New York, providing valuable insights for mortgage lenders working in this market. Overview of the New York FTHB market According to Experian Housing’s recent report on first-time homebuyers, the state of New York accounts for nearly 4.9% of all first-time homebuyers nationwide.1 More than half of first-time homebuyers are from Generation Y. When combined with Gen Z, these younger buyers make up just over 67% of the state's FTHBs, a figure slightly below the national average of 69%. Affordability metrics: The rent-to-mortgage ratio For many Americans, homeownership represents stability, security, and the future for family, community, and life. However, the decision to buy versus rent often hinges on affordability. Mortgage lenders must understand this dynamic to better assist their clients. Affordability can be defined in various ways. For the purposes of this study, Experian Housing defined affordability by comparing rental and mortgage payments, known as the rent-to-mortgage ratio (RTM ratio). A higher ratio indicates that buying a home is more economically attractive. Again, this metric does not consider incomes and debt levels, but simply housing rental prices and mortgage costs. Based solely on the RTM ratio, the transition from renting to homeownership may be more attractive in New York City, Syracuse, and Oyster Bay, while the transition may be more difficult in Cheektowaga, Amherst, and Hempstead. For mortgage lenders, understanding local markets and buyer profiles is essential. Building trust through personalized service, such as educating buyers on relevant loan programs and showcasing geographic expertise, can set you apart. With this knowledge, you can help buyers make informed decisions about affordability, whether they prefer living in the city or the suburbs. In some areas, the suburbs may offer more affordable options, while in others, the city center might be more cost-effective. Additional factors: Income, debt, and down payments Affordability extends beyond just rent and mortgage payments. Prospective homebuyers must consider their income, monthly expenses, and access to funds for a down payment. Mortgage lenders need to account for these factors when advising first-time homebuyers. Debt-to-income Average DTI across the 14 cities observed was 25.6%. The chart below highlights those at the higher and lower end of the spectrum. Down payments Down payments varied greatly, but the median across the cities observed was 16.5%. The chart below highlights an example at the high, mid, and low point. Sale prices and income Experian Housing analyzed median sales prices and incomes across the U.S., with New York serving as a prime example of the importance of this comparison in assessing affordability. This correlation is crucial; while sales prices may be high, understanding how they align with local incomes helps lenders accurately gauge market dynamics and guide buyers more effectively. In conclusion, having a deep understanding of the New York housing market is invaluable for mortgage lenders aiming to support first-time homebuyers. By leveraging insights into market dynamics, affordability metrics, and borrower profiles, lenders can offer tailored advice that meets the specific needs of their clients. This not only helps buyers navigate the complexities of homeownership but also builds lasting trust and loyalty. Equipped with these insights, you, as a lender, can play a pivotal role in making the dream of homeownership a reality for first-time buyers in New York. Let's continue to empower our clients with the knowledge and guidance they need to make informed and confident decisions in their homebuying journey. For more insights, check out our recent studies on the Florida and Texas markets and download our first-time homebuyer whitepaper. Download white paper Learn more

Effective collection strategies are critical for the financial health of credit unions. Unlike traditional banks, credit unions often emphasize member relationships and community values, making the collection process more tactful. Crafting a strategy that balances the need for financial stability with member-centric values is essential.  Here’s a step-by-step guide on how to create an effective credit union collection strategy. 1. Understand your members The foundation of an effective credit union collection strategy is understanding your members. Credit unions often serve specific communities or groups, and members may face unique financial challenges. By analyzing member demographics, financial behavior, and common reasons for delinquency, you can tailor your approach to be more vigilant and effective. Segment members: Group members based on factors like loan type, payment history, and financial behavior. This allows for targeted communications and outreach strategies. Member communication preferences: Determine how your members prefer to be contacted—whether by phone, email, or in person. This can increase engagement and responsiveness. 2. Prioritize compliance Compliance with regulations is non-negotiable in the collections process. Ensure that your strategy adheres to all relevant laws and guidelines. Fair Debt Collection Practices Act (FDCPA): Ensure that your team is fully trained on the FDCPA and that your practices comply with its requirements. State and local regulations: Be aware of any state or local regulations that may impact your collections process. This could include restrictions on contact methods or times. Internal audits: Regularly conduct internal audits to ensure compliance and identify any areas of risk. 3. Leverage technology for efficiency Technology can streamline the collection process, making it more efficient and a better member experience. Automated reminders: Use automated systems to send reminders before and after payment due dates. This reduces the likelihood of missed payments due to forgetfulness. Data analytics: Use data analytics to identify trends in member behavior, establish a collections prioritization strategy, and predict potential delinquencies. This allows your team to be proactive rather than reactive. Digital communication channels: Implement digital communication options, such as text messages or chatbots to make it easier for members to interact with the credit union. 4. Establish clear communication protocols Early and frequent communication is key to preventing delinquency and managing it when it occurs. Create clear protocols for member communication that prioritize empathy and treatment plans over demands. Early intervention: Reach out to members as soon as they miss a payment. Early intervention can prevent minor issues from escalating. Consistent communication: Ensure that your communication is consistent across all channels. Whether a member receives a call, an email, or a letter, the message should be clear and aligned with the credit union’s values. Human understanding: Train your collections team to use a compassionate tone. Members are more likely to respond positively when they feel understood and respected. 5. Offer flexible payment solutions Flexibility is crucial when working with members who are struggling financially. Offering a range of payment solutions can help members stay on track and reduce the likelihood of default. Customized treatment plans: Offer customizable payment plans that fit the member’s financial situation. This could include lower payments over a longer term or temporary payment deferrals. Loan modifications: In some cases, modifying the terms of the loan—such as extending the repayment period or lowering the interest rate—may be necessary to help the member succeed. Debt consolidation options: If a member has multiple loans, consider offering debt consolidation to simplify their payments and reduce their overall financial burden. 6. Train your collection team Your collection team is the frontline of your strategy. Providing them with the right training and tools is essential for success. Ongoing training: Regularly update your team on the latest regulations, best practices, and communication techniques. This keeps them informed and prepared to handle various situations. Better decision making: Empower your team to make decisions that align with the credit union’s values. This could include offering payment extensions or waiving late fees in certain situations. Regular support: Working in collections can be complex. Provide resources and support to help your team manage stress and maintain a positive attitude. 7. Monitor and adjust your strategy A successful credit union collection strategy is dynamic. Regularly monitor its performance and adjust as needed. Key performance indicators (KPIs): Track KPIs such as delinquency rates, recovery rates, roll-rates and member satisfaction to gauge the effectiveness of your strategy. Member feedback: Survey members who have gone through the collections process. Their insights can help you identify areas for improvement. Continuous improvement: Use data and feedback to continuously refine your strategy. What worked last year may not be as effective today, so staying adaptable is key. Creating an effective credit union collections strategy requires a balance of empathy, effective communication, and compliance. By understanding your members, communicating clearly, offering flexible solutions, leveraging technology, and continuously improving your approach, you can develop a strategy that not only reduces delinquency but also strengthens member relationships. In today’s fiercely competitive landscape, where efficiency and efficacy stand paramount, working with the right partner equipped with innovative credit union solutions can dramatically transform your outcomes. Choosing us for your debt collection needs signifies an investment in premier analytics, advanced debt recovery tools, and unmatched support.  Learn more Watch credit union collection chat This article includes content created by an AI language model and is intended to provide general information.