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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. 

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

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

At Experian, we believe in fostering innovation and collaboration to solve complex challenges. Recently, Ivan Ahmed, one of our talented product management leaders at Experian Housing, had the opportunity to participate in the FHFA 2024 TechSprint, where his team won the award for the best Risk Management and Compliance idea. In this article, we share Ivan's experience as he reflects on the TechSprint, the inspiration behind his team's project, and the valuable lessons learned. Can you share your experience participating in the FHFA 2024 TechSprint? What was the atmosphere like, and how did it feel to be recognized for the best Risk Management and Compliance idea? Let me start by explaining what a TechSprint is. It is a fast-paced, high-energy collaborative workshop where diverse experts and stakeholders come together to design technological solutions to complex problems. Each team is given a high-level problem and use case. From there, stakeholders and domain experts must develop a proof of concept within 3 days to best address the problem. On the last and final day, called the “Demo Day,” teams must showcase their solution in front of a panel of judges. It’s a fun, high-energy, challenging, and rewarding experience. A TechSprint is a convergence of everything I love – technology, business, and design and I think FHFA did a wonderful job orchestrating the event. Each team consisted of representatives from different functions in the housing ecosystem, including lenders, technologists, product managers, and regulators. We were given access to a room, whiteboards, and, most importantly, delicious snacks. We were also given access to industry subject matter experts outside our teams, including representatives from Fannie Mae and Freddie Mac, FHFA, and leaders from top companies. What I found the most impactful was the ability to pressure test our ideas and solutions against these industry subject matter experts. Ideating in a vacuum can be challenging, so being able to stress test things rapidly with these experts allowed us to change course quickly as new information was introduced. Winning the best Risk Management and Compliance idea award was rewarding, especially as we were able to ideate a solution to such a critical accessibility issue. Ultimately, our goal was to help create a fairer, more equitable, and inclusive housing finance system. A big shoutout to my teammates, Wemimo Abbey, Joseph Karbowski, Will Regenauer, and Eddy Atkins. What inspired Team Arsenal to focus on identifying potential gaps in ADA compliance within multifamily buildings, and what were some of the key challenges your team faced during the process? My mother has suffered from several disabilities most of her life. With age, she has become more wheelchair-dependent, and traveling has become a major challenge. On a recent family trip, the entry to our hotel building wasn’t ADA-compliant, and I had to carry her up a flight of stairs. It was frustrating to deal with. I later went down a rabbit hole around ADA compliance and, much to my surprise, learned that only 0.15% of all homes in the U.S. are wheelchair accessible! As we explored the problem space further as a team, we learned how difficult it is to ensure that new and existing rental homes are ADA-compliant. We hypothesized that a solution is needed to establish incentives for borrowers, lenders, and GSEs to meet compliance. A technological solution could more easily enable multi-family lenders and builders to identify rental units that are non-ADA compliant and could provide ways to address the gaps. We noticed two primary challenges: an enforcement gap and an incentive gap. We learned that agency loans (Fannie Mae and Freddie Mac) account for most multi-family home loan originations. If we could tackle the enforcement challenge at the GSE level, we could set up the proper incentives for all players in the multi-family lending process. By providing tools to both the borrower and the GSE’s, we could help foster a more inclusive and accessible rental housing market. How do you envision your AI-driven solution impacting the rental housing market and improving ADA compliance for multifamily buildings? We wanted to ensure that we leveraged the true power of Generative AI, which meant that our solution could take multimodal inputs and produce multimodal outputs. For example, we could train the Generative AI model on photos of interior multi-family rental units and structured or unstructured text like building sketches, site layouts, and local building codes. We could then incorporate ADA design requirements and analyze discrepancies. The result would be a compliance report or tool outlining the adherence level to ADA design requirements and providing tips and recommendations on remediation. The solution could be delivered as a free tool by the GSEs, who could incentivize its usage by offering price concessions to borrowers. Developers could also use the tool to evaluate whether new or existing builds were ADA-compliant. How did your background and experience with Experian contribute to developing your team's winning idea at the FHFA TechSprint? Much of my role at Experian has involved exploring ways to leverage proprietary and public record property data for marketing, account review, and analytical use cases. I work very closely with property data at Experian, so I was very familiar with the types of input fields of property data that would be the most relevant to improving a generative AI model output. Specifically, in our use case, we wanted to train the model to better identify homes and features that were non-compliant with ADA and provide clear remediation steps. We knew that public record property information was available from various sources and could be leveraged as additional third-party input data to improve our model accuracy. What advice would you give to other teams or individuals looking to participate in future TechSprint events, especially those aiming to tackle complex issues like risk management and compliance? It’s important to remember that an ideal solution is both impactful and practical. Practicality is achieved when the solution has both business and technical viability. Therefore, it’s crucial to carefully vet problems and solutions by understanding their viability. Working as a team to solve the problem means leveraging the expertise of subject matter experts around you. Each team member should draw on their strengths, making the collective effort stronger than individual contribution. Most importantly, fairness, inclusivity, and accessibility matter. An effective solution should strive to have a positive social impact in addition to other considerations. Winning with purpose Ivan’s journey through the FHFA 2024 TechSprint exemplifies the innovative and collaborative spirit that drives our team at Experian. His reflections highlight the impact of well-designed technological solutions on critical issues like ADA-compliance in multifamily housing. We hope Ivan’s experience inspires others to explore their potential in solving complex problems and to participate in future TechSprints, where innovative thinking and a commitment to social good can lead to meaningful change.

Housing affordability is a pressing concern across the United States, and Florida is no exception. The affordability issue can be particularly crucial for renters looking to become first-time homebuyers (FTHBs). The desire to live in a sunny location must be measured against the cost of living, particularly housing costs. Experts at Experian Housing carefully examined data from the top 15 Florida cities (by population) to gain insights into the state of housing affordability in Florida.1 Experian examined factors such as mortgage payments, rent prices, income levels, and sales prices to assess affordability. Overview of the Florida FTHB market Experian Housing’s recent report on first-time homebuyers ranked Florida the state with the third highest percentage of FTHBs nationwide, at nearly 7.7% of FTHBs.2 It outranked New York, falling behind Texas and California. In Florida, the younger populations of Generation Y and Z account for 60% of all first-time homebuyers. Nationwide, roughly 70% of FTHBs belong to these populations. Among younger buyers, affordability is often the deciding factor in whether they continue to rent or become homeowners as they balance housing costs with student loan debt and other expenses. Let’s look at some key metrics Comparative monthly mortgage payments and rent prices How this affects affordability: The bottom line for prospective homebuyers often comes down to whether it's more affordable to continue to rent or purchase a home. While the metrics discussed all contribute to the picture of affordability, for this study, Experian Housing defined affordability by calculating the rent-to-mortgage ratio, a comparison of monthly rental payments to monthly mortgage payments. Homebuying becomes more attractive to renters when the rent-to-mortgage ratio is higher because mortgage payments are more economically practical. What we observed: Experian Housing found that Pembroke Pines, Palm Bay, and Cape Coral have the highest rent-to-mortgage ratio in Florida, at nearly 80%. In other words, for example, if the average mortgage payment is $1,000, the average rental payment is ~$800. Compare this to Tallahassee, Hialeah, and Hollywood, where the rent-to-mortgage ratio is <60%. These numbers illustrate the varying home purchase and rental market trends across the state. Debt-to-income How this affects affordability: This metric compares monthly debt responsibilities, including mortgages, car loans, student loans, and minimum credit card payments, to monthly income. A high debt-to-income ratio indicates a significant portion of income is dedicated to paying debt, leaving little room for other essential living costs and discretionary spending. What we observed: Down payments How this affects affordability: A higher down payment can also assist buyers, especially first-time buyers, by increasing attractive financing options. Importantly, a down payment of 20% avoids the need for private mortgage insurance (PMI), which is insurance for the lender, protecting the lender against loss should a foreclosure occur. PMI typically costs between 0.5% and 2% of the loan amount, annually. What we observed: Sale prices and financial hurdles How this affects affordability: In comparing home affordability across Florida, first-time homebuyers should consider home prices in relation to income. While other considerations, including an individual’s debt level and other expenses, contribute to the bottom line, this gives an indication of how much income will be consumed by the home purchase. What we observed: Experian Housing examined the median sales prices and median. Comparison is essential because sales prices may be higher in a given area, but correlation with income helps determine affordability. A Florida housing opportunity, up close: Miami metropolitan area The Miami metropolitan area is an example of an area where mortgage lenders who understand their clients and the area they seek to live may well attract first-time homebuyers, loyal clients, and more word-of-mouth business. The Miami suburb of Pembroke Pines, roughly 20 miles from Miami, offers a more affordable housing market. With Florida sunshine, nearby beaches, and access to three main highways, mortgage lenders whose knowledge base is not limited to the Miami city center may have an opportunity to turn a renter into a homeowner. Florida residents navigate the cost of living in the Sunshine State Analysis from Experian Housing highlights the diversity in housing markets and the opportunities to enhance financial well-being for residents in Florida. These insights are crucial for lenders to identify affordable opportunities for all residents. 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 Texas affordability study. 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 The analysis is based on the trade and rental data reported to Experian and considered first-time homebuyers during the period between November 2022 and January 2024. 2 Based on those getting a mortgage.

This series will dive into our monthly State of the Economy report, providing a snapshot of the top monthly economic and credit data for those in financial services to proactively shape their business strategies. The labor market has been a source of strength for the U.S. economy coming out of the pandemic, providing workers with stable employment and solid wages. However, the labor market has slowed in recent months, with lower-than-expected job creation and rising unemployment, causing weakening sentiment in the broader market. This has resulted in increased pressure on the Federal Reserve to begin cutting rates and places more importance on the incoming data between now and the September FOMC meeting. Data highlights from this month’s report include: Job creation declined in July, falling short of economists’ expectations. Unemployment increased from 4.1% to 4.3%. Inflation cooled again in July, with annual headline inflation easing from 3.0% to 2.9%. GDP picked up in Q2 to 2.8%, primarily driven by strong consumer spending. Check out our report for a deep dive into the rest of this month’s data, including the latest trends in originations, retail sales, and the new housing market. Download August's report To have a holistic view of our current environment, it’s important to view the economy from different angles and through different lenses. Download our latest macroeconomic forecasting report for our views on what's to come in the U.S. economy and listen to our latest Econ to Action podcast. For more economic trends and market insights, visit Experian Edge.

Alternative lending is continuing to revolutionize the financial services landscape. From full-file public records to cash flow transactions, alternative credit data empowers financial institutions to make more informed lending decisions.  This article focuses on cashflow insights and how they help financial institutions drive profitable and inclusive growth.  Challenges with traditional credit underwriting  Traditional underwriting often limits access to credit for marginalized communities, including young adults, immigrants, and those from low-income backgrounds. Because the process relies heavily on credit history and credit scores to determine an applicant’s ability to pay, those with less-than-ideal credit profiles could be overlooked. This then creates a cycle — those who are already disadvantaged face further barriers to accessing credit, limiting their abilities to invest in opportunities that can improve their financial situations, such as education or homeownership.  Additionally, traditional underwriting models can be rigid. Consumers with stable incomes or significant assets may be denied credit if their financial profiles don’t fit the narrow criteria established by traditional models. As the financial landscape evolves, it’s important for lenders to adopt more inclusive and adaptive approaches to credit underwriting.  What is cashflow underwriting?  Cashflow underwriting is a modern approach to evaluating a borrower’s creditworthiness. It uses fresh, consumer-permissioned bank account transaction (balance, income and expense) data, giving lenders greater visibility into loan applicants’ financial situation. This process is made possible through open banking, an established, secure framework that enables consumers to quickly and easily share their bank account information with third-party financial service providers.  READ: Learn more about the open banking landscape.  Let’s look at a few quick examples:   A prospective tenant is filling out a rental application. Instead of manually submitting paystubs to verify their income, open banking facilitates the digital sharing of full cashflow data in seconds, enabling property managers to quickly access the applicant’s full cash flow information.  A consumer was previously denied credit due to insufficient credit history. With cashflow underwriting, the consumer is offered a second chance to qualify for the loan by including cashflow data in the lender’s decisioning model. The additional information gathered on the consumer’s ability to pay can transform the initial decline decision into an approval.   Cashflow underwriting can also be used for credit line management. By assessing a borrower’s income and expense transactions, lenders can recommend optimal credit limits that cater to their spending potential while minimizing risk.  Benefits of cashflow underwriting  There are many benefits to integrating cashflow data into the credit underwriting process, including:  Enhanced risk assessment. Going off credit scores and repayment behaviors alone won’t provide lenders with a complete or current picture of applicants. Through open banking, lenders can gain access to cashflow data in real-time, allowing them to more accurately assess consumers, increase approvals, and reduce credit risk.  Inclusive lending. Over 100 million adult Americans are considered unscoreable, invisible, or subprime.1 However, 71% of consumers are willing to share their banking information if it could improve their chances of getting approved for credit.2 With deeper insights into consumers’ income and expenses, lenders can increase credit access in underserved communities.  Improved customer experiences. Gaining a more comprehensive view of a consumer’s financial situation enables lenders to determine what loan products they’re eligible for and craft personalized options.  READ: Learn more about the benefits of leveraging alternative data for credit underwriting.  Get started  Cashflow underwriting represents a significant step forward in the world of lending. It offers a more comprehensive approach to assessing creditworthiness, helping financial institutions drive growth and profitability.   Experian’s Cashflow Attributes are an open banking enabled solution that provides lenders with consumer-permissioned insights into borrowers’ financial behaviors. With 940+ attributes derived from transaction data across 133 categories, financial institutions can make smarter, more inclusive lending decisions. Learn more about Cashflow Attributes Learn more about open banking 1 2023 State of Alternative Credit Data Report, Experian, 2023.  2 Atomik Research survey of 2,005 U.S. adults online, matching national demographics, 2024.  This article includes content created by an AI language model and is intended to provide general information. 

With the noticeable uptick in delinquencies, credit unions face more significant hurdles in effectively managing overdue accounts. In this challenging financial landscape, it’s imperative that you refine your account management processes to remain competitive, preserve the well-being of your members, assure operational efficiency, and increase profitability.  Implementing efficient collection approaches not only improves loss rates but also helps with member retention, which is the backbone of your success. Grab a cup of coffee and join our experts on August 22 @ 1:00 p.m. ET/ 10:00 a.m. PT, for an engaging conversation on credit union collection trends and successful account management strategies. Highlights include: Current landscape: Gain valuable insight and understanding into the current debt collection environment for credit unions. Navigating challenges: Discover effective tips and strategies to tackle obstacles in your business, improve loss rates, and enhance member retention. Real-time Q&A: Participate in a live Q&A session where our experts will address your questions. Watch on-demand

Getting customers to respond to your credit offers can be difficult. With the advent of artificial intelligence (AI) and machine learning (ML), optimizing credit prescreen campaigns has never been easier or more efficient. In this post, we'll explore the basics of prescreen and how AI and ML can enhance your strategy.  What is prescreen?  Prescreen involves evaluating potential customers to determine their eligibility for credit offers. This process takes place without the consumer’s knowledge and without any negative impact on their credit score.  Why optimize your prescreen strategy?  In today's financial landscape, having an optimized prescreen strategy is crucial. Some reasons include:  Increased competition: Financial institutions face stiff competition in acquiring new customers. An optimized prescreen strategy helps you stand out by targeting the right individuals with tailored offers, increasing the chances of conversion.  Customer expectations: Modern customers expect personalized and relevant offers. An effective prescreen strategy ensures that your offers resonate with the specific needs and preferences of potential customers.  Strict budgets: Organizations today are faced with a limited marketing budget. By determining the right consumers for your offers, you can minimize prescreen costs and maximize the ROI of your campaigns.  Regulatory compliance: Compliance with regulations such as the Fair Credit Reporting Act (FCRA) is essential. An optimized prescreen strategy helps you stay compliant by ensuring that only eligible individuals are targeted for credit offers.  Financial inclusion: 49 million American adults don’t have conventional credit scores. An optimized prescreen strategy allows you to send offers to creditworthy consumers who you may have missed due to a lack of traditional credit history.  How AI and ML can enhance your strategy  AI and ML can revolutionize your prescreen strategy by offering advanced analytics and custom response modeling capabilities.  AI-driven data analytics  AI analytics allow financial institutions to analyze vast amounts of data quickly and accurately. This enables you to identify patterns and trends that may not be apparent through traditional analysis. By leveraging data-centric AI, you can gain deeper insights into customer behavior and preferences, allowing for more precise targeting and increased response rates.  LEARN MORE: Explore the benefits of AI for credit unions.  Custom response modeling  Custom response models enable you to better identify individuals who fall within your credit criteria and are more likely to respond to your credit offers. These models consider various factors such as credit history, spending habits, and demographic information to predict future behavior. By incorporating custom response models into your prescreen strategy, you can select the best consumers to engage, including those you may have previously overlooked.  LEARN MORE: AI can be leveraged for numerous business needs. Learn about generative AI fraud detection.   Get started today  Incorporating AI and ML into your prescreen campaigns can significantly enhance their effectiveness and efficiency. By leveraging Experian's Ascend Intelligence Services™ Target, you can better target potential customers and maximize your marketing spend.   Our optimized prescreen solution leverages:  Full-file credit bureau data on over 245 million consumers and over 2,100 industry-leading credit attributes.  Exclusive access to the industry's largest alternative datasets from nontraditional lenders, rental data inputs, full-file public records, and more.  24 months of trended data showing payment patterns over time and over 2,000 attributes that help determine your next best action.  When it comes to compliance, Experian leverages decades of regulatory experience to provide the documentation needed to explain lending practices to regulators. We use patent-pending ML explainability to understand what contributed most to a decision and generate adverse action codes directly from the model.  For more insights into Ascend Intelligence Services Target, view our infographic or contact us at 855 339 3990. View infographic This article includes content created by an AI language model and is intended to provide general information. 

This series will dive into our monthly State of the Economy report, providing a snapshot of the top monthly economic and credit data for those in financial services to proactively shape their business strategies. While much of the economic data released this month remained steady, including continued downward progress in inflation and resilience in inflation-adjusted spending, June was a pivotal month for the labor market. With downward revisions to job creation over the past few months to an up-tick in unemployment, the potential for a sooner-than-expected rate cut increased. Data highlights from this month’s report include: While above economists’ expectations in June, job creation was 111,000 jobs shy of what was recorded in April and May, signaling some slowdown in the labor market. Inflation-adjusted spending and incomes increased in May, by 0.3% and 0.5%, respectively. Inflation eased more than economists expected, with annual headline inflation cooling from 3.3% to 3.0%. Check out our report for a deep dive into the rest of this month’s data, including the latest trends in job openings, new business survival rates, and bankcard delinquency rates. Download July's report  To have a holistic view of our current environment, it’s important to view the economy from different angles and through different lenses. Watch our experts discuss the latest economic and credit trends in the next macroeconomic forecasting webinar and listen to our latest Econ to Action podcast. For more economic trends and market insights, visit Experian Edge.

With rising consumer debt and an increasing number of consumers defaulting on loans, effective debt recovery strategies have never been more critical. Skip-tracing is the first-step in effective debt collection. This essential practice helps locate individuals who have become difficult to find, ensuring that you can recover outstanding debts efficiently. In this blog post, we'll explore skip-tracing best practices, offering valuable insights and practical tips and tools. Understanding and implementing these collection strategies can enhance your debt recovery efforts, improve overall efficiency, and increase your recovery rates. Understanding the importance of skip-tracing Skip-tracing is the process of locating individuals who have moved or otherwise become difficult to find. This technique is particularly important for financial institutions and debt collectors, enabling them to contact debtors and recover outstanding payments. Given the high stakes involved, mastering skip-tracing best practices is crucial for ensuring successful debt recovery. How to create an effective skip-tracing strategy 1. Use comprehensive skip-tracing data sources One of the foundational elements of an effective skip-tracing strategy is the use of comprehensive skip-tracing data sources. You can gather valuable information about a debtor's whereabouts by leveraging multiple databases, including public records, credit reports, and alternative data sources. The more data sources you utilize, the better chance of making right-party contact. 2. Prioritize data privacy While skip-tracing is essential for debt recovery, it's crucial to prioritize data privacy. Always adhere to the latest consumer contact debt collection regulations. This protects the individual's privacy and safeguards your organization from potential legal issues. 3. Stay updated with regulatory changes The regulatory landscape for debt collection and contacting consumers is constantly evolving. Staying updated with the latest changes ensures that your skip-tracing practices remain compliant with the law. Regularly review industry regulations, obtain proper consent from consumers and adjust your strategies accordingly. 4. Train your team Skip-tracing requires specialized skills and knowledge. Investing in regular training for your team ensures that they are equipped with the latest techniques and best practices. Offer workshops, webinars, and certification programs to keep your team up to date and improve their effectiveness. 5. Utilize skip-tracing software Skip-tracing software can significantly streamline the process and improve accuracy. Look for software solutions that offer comprehensive data integration, advanced search capabilities, and user-friendly interfaces. Implementing the right software can save time and resources while increasing right-party contact. 6. Monitor and evaluate performance Regularly monitoring and evaluating the performance of your skip-tracing efforts is essential for continuous improvement. Track key metrics such as right-party contact rates, time taken to locate individuals, contact method and cost. Use this data to identify areas for improvement and adjust your strategies accordingly. 7. Adapt to changing circumstances The world of debt management is dynamic, and circumstances can change rapidly. Be prepared to adapt your skip-tracing strategies to evolving situations. Whether it's changes in debtor behavior, new technology, or shifts in the regulatory landscape, staying flexible ensures that your skip-tracing efforts remain effective. Why choose Experian® for skip-tracing solutions Skip-tracing is a critical tool for financial institutions and debt collectors, enabling them to locate individuals and recover outstanding debts efficiently. Understanding and implementing collection best practices can improve your efforts and overall success rates. As a global leader in data and analytics, we offer extensive expertise and cutting-edge skip-tracing tools tailored to meet your unique needs.  Comprehensive data integration: Our skip-tracing tools integrate data from multiple sources, including credit reports, alternative data, public records, and proprietary databases. This comprehensive approach ensures that you have access to accurate and up-to-date information, improving right-party contact. Recent and reliable data: While many data providers rely on static or stale data, our skip-tracing data is frequently updated, so you can avoid inaccurate, outdated information. More than 1.3 billion updates are made per month, including new phone numbers, new addresses, new employment, payment history, and more. Advanced technology: Our skip-tracing solutions leverage advanced technology, including AI and ML, to analyze data quickly and accurately. Our state-of-the-art algorithms identify patterns and connections to help you locate individuals more efficiently. Commitment to data privacy: We prioritize data privacy and adhere to the highest ethical standards. Our skip-tracing solutions are designed to protect personal information while ensuring compliance with industry regulations. You can trust us to handle data responsibly and ethically. Ready to take your skip-tracing efforts to the next level? Learn more Access white paper

Open banking has been leveraged for years in the U.S. The anticipated U.S. regulation under section 1033 of the Dodd-Frank Act, combined with the desire to expand lending universes, has increased interest and urgency among financial institutions to incorporate open banking flows into their workstreams.  With technological improvements, increased data availability, and increasing consumer awareness around the benefits of data value exchange, financial service providers can use consumer-permissioned data to gain new insights. For example, access to bank account transactional data, permissioned appropriately, provides important attributes into risk, spend and income behaviors, and financial health, while equipping institutions with intelligence they can harness to help meet various business objectives.  Current state of open banking Open Banking use cases are extensive and will continue to expand as access to permissioned data becomes more common. Second chance underwriting, where a lender retrieves additional insights to potentially reverse the primary declination, is the most prevalent use case in the market today.  Where a consumer may have limited or no credit history, this application of cashflow attributes and scores in a decisioning flow can help many consumers access financial services where they cannot be fully underwritten on credit data alone.  And it is not just consumer behavior and willingness to permission their data that will accelerate open banking in financial services. The technology enabling access, security, standardization, and categorization is equally critical. New and existing players across the ecosystem are rolling out new solutions to drive results for financial institutions.  The benefits of open banking are vast as highlighted recently by Craig Focardi, Principal Analyst at Celent: “The final adoption of the CFPB’s proposed rule under Section 1033 will accelerate open banking in the US,” said Focardi. “Although open banking is operating effectively under existing consumer protection/privacy and related laws and regulations, this modern opening banking rule will enhance consumer control over their data for privacy and security, help consumers better manage their finances, and help them find the best products and banking relationships. For financial institutions, it will level the competitive playing field for smaller financial institutions, increase competition for customer relationships, and incentivize all financial institutions to invest in technology, data, and analytics to adopt open banking more quickly.” Despite the wealth of information that open banking can offer, institutions are at varying stages of maturity when it comes to using this data in production, with fintechs and challenger banks leading the way. However, most banks are researching and planning to take advantage of the insights unlocked through open banking – particularly cashflow data.  But why is there not wider adoption when this ‘new’ data can offer such rich and actionable insights?  The answer varies, but it is top of mind for risk officers, analysts and marketers. Some financial institutions are worried about application drop-off as consumers move through a data consent journey. Others are taking a wait-and-see approach as they are concerned about incorporating open banking flows only to see regulation upend the application of permissioned data.   Regardless of readiness, most organizations are in various stages of testing new permissioned data sources to understand the implications. Experian has helped many financial institutions understand the power of consumer-permissioned data through analytics and specific tests leveraging client transactional data and our cashflow models. On aggregate, we see cashflow data perform well on its own in determining a consumer’s likelihood of going 60 days past due over 12 months; however, it is best used in combination with traditional and alternative credit data to achieve optimal performance of underwriting models.   But what about consent? Will consumers be open to permissioning their data?  From our research, we see that consumers are willing to give permission if the benefits are explained and they understand how their data will be used. In fact, 70% of consumers report they are likely to share banking data for better loan rates, financial tools, or personalized spending insights.1 Experian reveals new solutions for open banking We at Experian are excited about the benefits open banking can provide, including: Giving more control to consumers: Consumers are hungry for more control over their data. We have seen this ourselves with Experian Boost®. When the benefits of data sharing are properly explained, and consumers can control when and how that data is used, it is empowering and allows consumers the potential to unlock new financial opportunities.   Improving risk assessment: As mentioned above, analysis shows that cash flow data (transactional open banking data) is very predictive on its own. Adding our credit data delivers even greater predictability, enabling lenders to score more consumers and offer the right products, services, and pricing.   Augmenting existing strategies: Open banking is not a new strategy; it augments and improves many existing processes. Institutions do not need to start something from scratch; they can layer incremental data into existing processes for an improved risk assessment, deeper insights, and a better customer experience.  Open banking is not a new strategy; it augments and improves many existing processes. Institutions do not need to start something from scratch; rather, they can layer incremental data into existing processes for an improved risk assessment, deeper insights, and a better customer experience.  We’re helping institutions unlock the power of open banking data by transforming transaction data into precise categories, a foundational component of cashflow analytics that feeds into the calculation of attributes and scores. These new Cashflow Attributes can be easily plugged into existing underwriting, analytic, and account management use cases. Early indicators show that Cashflow Attributes can boost predictive accuracy by up to 20%, allowing lenders to drive revenue growth while mitigating risk.2 Open banking is emerging in the industry across various use cases. Many are only just realizing the potential insights and benefits this can have to consumers and their organizations. How will you leverage open banking? Learn more about how we're helping address open banking 1Atomik Research survey of 2,005 U.S. adults online, matching national demographics. Fieldwork: March 17-21, 2024. 2Experian analysis based on GINI predictability. GINI coefficient measures income or wealth inequality within a population, with 0 indicating perfect equality and 1 indicating perfect inequality, reflecting predictive capability.

First-time homebuyers (FTHBs) represent a significant portion of the homebuying market across the United States, particularly in Texas where we see the largest proportion. While an overall diverse market segment, affordability is paramount to all. Experian Housing recently examined the mortgage landscape, looking at who is buying, where, and why, uncovering both expected and surprising insights. Texas at a glance Eight of the top ten fastest-growing US cities are in Texas. Lately, Texas business growth has included large employers, such as Amazon, Oracle, Caterpillar, Chevron, and Schwab, moving or expanding to the state. Looking for a more affordable life, consumers have also made the move. No state income tax, no corporate taxes, overall lower business taxes, business incentives, and a generally favorable cost of living make it very attractive to individuals and businesses. Recent research by Experian Housing revealed Texas accounts for the largest percentage of FTHBs in the US at nearly 10.5%, based on those getting a mortgage. Among these buyers, ~72% are Generation Y (Gen Y) and Generation Z (Gen Z), meaning they are in their early 40s and younger. Defining and measuring affordability Affordability often tips the scale for prospective first-time homebuyers, particularly younger buyers, deciding to rent or buy. Texas mortgage lenders familiar with the geography of their local markets will likely have an advantage with these consumers if they understand affordability from a citywide perspective and at a hyper-focused neighborhood or zip code level. 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. 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. According to Experian’s latest 2023 rental market report, Gen Z and Gen Y made up nearly 70% of the U.S. rental sector. When considered with their first-time homebuyer numbers in Texas and across the U.S., their importance in defining the market trend stands out. The rent-to-mortgage analysis provides important insights into whether these buyers may look to buy now or continue renting. Texas by the numbers Experian Housing examined affordability at the city and more granular, localized levels. Among those analyzed for affordability, Experian findings included: Lubbock is the most affordable city with a rent-to-mortgage ratio of 67%. Following Lubbock were Fort Worth (64%), San Antonio (63%), andEl Paso (62%) are the next cities. Among metro areas, Houston (58%), Arlington (56%), Dallas (52%) and Austin (49%). In these cities, the low to high average current home sales price rankings tracked the rent-to-mortgage ratios except for El Paso, with the 2nd lowest average sales price, but coming in 4th in the affordability metric. Lubbock had the lowest average home sales price at $212,812. El Paso had the next lowest average sales price ($216,424), then San Antonio ($269,232) and Fort Worth ($312,579). Next came Houston ($317,882), Arlington ($345,077), Dallas ($402,830), and Austin ($598,431). Is the city center or are the suburbs more affordable? A look at the city level only tells part of the story. Examining the area by zip code reveals more insights into where loan officers might direct first-time buyer prospects. In general, based on the median rent-to-mortgage payment ratio, the farther away from the city center (outer suburbs), the more affordable buying is for first-time buyers. San Antonio proved to be the notable exception where prices trended higher in the suburbs. Mortgage lenders who are savvy about these inner-market differences, set themselves up for a greater likelihood of attracting first-time homebuyers and keeping them as loyal customers. For more information about the lending possibilities for first-time homebuyers, download our white paper and visit us online. Download white paper Learn more