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External fraud generally results from deceptive activity intended to produce financial gain that is carried out by an individual, a group of people or an entire organization. Fraudsters may prey on any organization or individual, regardless of the size or nature of their activities. The tactics used are becoming increasingly sophisticated, requiring a multilayered fraud mitigation strategy. Fraud mitigation involves using tools to reduce the frequency or severity of these risks, ultimately protecting the bottom line and the future of the organization. Fraud impacts the bottom line and so much more According to the Federal Trade Commission, consumers reported losing more than $10 billion to fraud in 2023, a 14% increase over the previous year and the highest dollar amount ever reported. These costs extend beyond the face value of the theft to include fees and interest incurred, fines and legal fees, labor and investigation costs and external recovery expenses. Aside from dollar losses and direct costs, fraud can also pose legal risks that lead to fines and other legal actions and diminish credibility with regulators. Word of deceptive activities can also create risk for the brand and reputation. These factors can, in turn, result in a loss of market confidence, making it difficult to retain clients and engage new business. Leveraging fraud mitigation best practices As the future unfolds, three things are fairly certain: 1) The future is likely to bring more technological advances and, thereby, new ways of working and creating. 2) Fraudsters will continue to look for ways to exploit those opportunities. 3) The future is here, today. Organizations that want to remain competitive in the digital economy should make fraud mitigation and prevention an integral part of their operational strategy. Assess the risk environment While enhancing revenue opportunities, the global digital economy has increased the complexity of risk management. Be aware of situations that require people to enforce fraud risk policies. While informed, experienced people are powerful resources, it is important to automate routine decisions where you can and leverage people on the most challenging cases. It is also critical to consider that not every fraud risk aligns directly to losses. Consider touchpoints where information can be exposed that will later be used to commit fraud. Information that crooks attempt to glean from idle chatter during a customer service call can be a source of unexpected vulnerability. These activities can benefit from greater transparency and automated oversight. Create a tactical plan to prevent and handle fraud Leverage analytics wherever possible to streamline decisions and choose the right level of friction that’s appropriate for the risk, and palatable for good customers. Consumers and small businesses have come to expect a customized and frictionless experience. Employee productivity, and ultimately revenue growth, requires the ability to operate with speed and informed confidence. A viable fraud mitigation strategy should incorporate these goals seamlessly with operational objectives. If not, prevention and mitigation controls may be sidelined to get legitimate business done, creating inroads for fraudsters. Look for a partner who can apply the right friction to situations depending on your risk appetite and use existing data (including your internal data and their own data resources) to better identify individual consumers. This identification process can actually smooth the way for known consumers while providing the right protection against fraudsters and giving consumers who are new to your organization a sense of safety and security when logging in for the first time. It's equally important that everyone in your organization is working together to prevent fraud. Establish and document best practices and controls, beginning with fostering a workplace culture in which fraud mitigation is part of everyone's job. Empower and train all staff to identify and report suspicious activity and ensure they know how to raise concerns. Consider implementing ways to encourage open and swift communication, such as anonymous or confidential reporting channels. Stay vigilant and tap into resources for managing risks It is likely impossible to think of every threat your organization might face. Instead, think of fraud mitigation as an ongoing process to identify and isolate any suspected fraud fast — before the activity can develop into a major threat to the bottom line — and manage any fallout. Incorporating technology and robust data collection can fortify governance best practices. Technology can also help you perform the due diligence faster, ensuring compliance with Know Your Customer (KYC) and other regulations. As necessary, work with risk assessment consultants to get an objective, experienced view.  Learn more about fraud risk mitigation and fraud prevention services. Learn more  

What is elder abuse fraud? Financial abuse is reportedly the fastest-growing form of elder abuse, leaving many Americans vulnerable to theft scams, and putting businesses and other organizations on the frontlines to provide protection and help prevent fraud losses.   Financial elder abuse fraud occurs when someone illegally uses a senior’s money or other property. This can be someone they know, or a third party – like fraudsters who are perpetrating romance scams Older consumers and other vulnerable digital newbies were prime targets for this type of abuse during the start of the pandemic when many of them became active online for the first time or started transacting in new ways. This made them especially attractive targets for social engineering (when a fraudster manipulates a person to divulge confidential or private information) and account takeover fraud. While most of us have become used to life online (in fact, there’s been a 25% increase in online activity since the start of the pandemic), some seniors still have risky habits such as poor password maintenance, that can make them more attractive targets for fraudsters. What is the impact of elder abuse fraud? According to the FBI’s Internet Crime Complaint Center (IC3), elder abuse fraud cost Americans over the age of 60 more than $966 million in 2020. In addition to the direct cost to consumers, elder abuse fraud can leave organizations vulnerable to the fallout from data breaches via account takeover, and lost time and money spent helping seniors and other vulnerable Americans recoup their losses, reset accounts, and more. Further, the victim may associate the fraud with the bank, healthcare provider, or other businesses where the account was taken over and decide to stop utilizing that entity all together. How can organizations prevent elder abuse fraud? Preventing elder abuse fraud can take many forms. Organizations should start with a robust fraud management solution that can help prevent account takeover, first-party, synthetic identity fraud, and more. This platform should also include the ability to use data analysis to detect and flag sudden changes in financial behavior, online activities, and transaction locations that could indicate abuse or takeover of the account. With the right fraud strategy in place, organizations can help prevent fraud and build trust with older generations. Given that 95% of Baby Boomers cite security as the most important aspect of their online experience, this step is too important to miss.   To learn more about how Experian is helping organizations develop and maintain effective fraud and identity solutions, be sure to visit us or request a call. Contact us  

Leasing has long been a popular choice among consumers who want to enjoy the latest vehicle models, but at a lower monthly payment. In fact, the average monthly lease payment was $127 less than a loan payment in Q2 2022. However, in recent quarters, we’ve seen leasing availability decline due to current market conditions. According to Experian’s State of the Automotive Finance Market Report: Q2 2022, leasing declined from 27.82% to 19.65% year-over-year, marking the lowest drop in quite some time. When analyzing previous data, leasing comprised 30.41% of all new vehicles in Q2 2018, decreasing to 30.04% in Q2 2019 and 26.58% in Q2 2020. There are likely a number of factors contributing to the decline of leasing over recent years, including the ongoing inventory shortages and OEMs not offering as many incentives, which may result in leasing opportunities becoming less common. Other scenarios can be consumers choosing to extend their lease, or purchase the vehicle once their lease has expired. In Q2 2022, the average monthly lease payment increased to $540, from $475 in Q2 2021. Though, the average monthly loan payment for a new vehicle surpassed $600 this quarter—coming in at $667, an $85 year-over-year increase. As automotive professionals continue to navigate through the inventory shortages and subsequent vehicle price increases, understanding the landscape and what options are available for consumers will be critical. One way to keep on top of the trends is analyzing the pricing options for the most popular leased models, which will enable more informed decisions in the months to come. Average monthly payment for top leased models As previously mentioned, there was an average payment difference of $127 between a lease and a loan in Q2 2022. However, that’s just an average, and these numbers can vary based on the vehicle type. For example, the average monthly lease payment for a Honda Civic was $363 in Q2 2022, as opposed to the average monthly loan payment of $476. In comparison, the average monthly lease payment for a Ford F-150 came in at $516 this quarter, compared to the average monthly loan payment of $832. While a pickup truck may typically have a higher average monthly lease payment than a sedan, consumers are continuing to choose larger vehicles, overall. In Q2 2022, there was only one sedan that made up the top leased vehicles—with the Ford F-150 having the highest leasing registration volume, comprising 2.3% this quarter. Rounding out the top five were Chevrolet Equinox (2.27%), Honda CR-V (2.16%), Honda Civic (2.09%), and Ram 1500 (1.81%). Despite the overall decline in leasing over the past year, it continues to be a financing option that consumers can consider amid vehicle prices increasing. Knowing what vehicles are most prevalent as well as their price points will allow professionals to create strategies that cater to the most current consumer financing preferences during their search for a vehicle that fits their needs. To learn more about leasing and other automotive finance trends, watch the entire State of the Automotive Finance Market: Q2 2022 presentation on demand.

Earlier this year, I explored the potential impact of the end of the current Public Health Emergency (PHE). The U.S. federal government has been operating under a PHE for COVID-19 for more than 30 consecutive months since it was initially announced in January 2020. On July 15, 2022, this PHE was renewed for a tenth time. Following this latest extension, the Centers for Medicare & Medicaid Services (CMS) has released a roadmap for the end of the COVID-19 PHE. In a related blog, they reiterate the commitment to provide a 60-day notice prior to the end of the PHE, but urge states and healthcare providers to prepare for the end “as soon as possible.” With these upcoming changes in mind, I wanted to review key areas for providers to consider as they prepare for the end of the PHE. Enrollments continue to increase, putting state budgets at risk From the start of the PHE in February 2020 through April 2022, Medicaid/Children’s Health Insurance Plan (CHIP) enrollment has increased by more than 17M people and this is affecting every state. Nearly half of all states have experienced an increase of more than 25% during this time period, with some experiencing increases of more than 40%. Given an average Medicaid cost to states of more than $8.4K per capita, that translates to an increase of billions of dollars. Once the PHE expires, states will have 12 months to redetermine eligibility for continued enrollment in the program, or risk bearing 100% of the associated cost. Preparing for the end of the PHE To avoid unnecessary expenditures and ensure that citizens are receiving access to the correct services, states will have to conduct a holistic review of their Medicaid rolls to confirm eligibility. In CMS’s guidance for states to prepare for the end of the PHE, they recommend creating an automated process to handle this unprecedented review. With the right partner, agencies can perform redeterminations of their existing registration rolls, and prepare for future services requests. The right solution can allow citizens to easily apply for benefits, triggering the automatic, real-time pull of income and employment information so that the agency can verify eligibility. Experian is a trusted government partner that is ready to assist states with preparing and automating the process for redetermination of benefits. To learn more about how Experian can assist with citizen benefit redetermination and registration efforts, visit us or request a call. Learn more

To help your marketing dollars go further in 2022, developing multichannel strategies that more efficiently incorporate both traditional and online consumer audiences is key to more effective campaigns. Doing this well requires marketers to understand your consumers and how they best respond to marketing, including what channel (direct mail, email, OTT banner ads) or what message (vehicle reliability, value for dollar, celebrity endorsement) works best. Working with the right partner for audience insights enables you to segment audiences and filter for automotive criteria that drive more targeted, segmented marketing. What are traditional audiences? In most cases, traditional (sometimes referred to as offline) audiences include consumers reached through radio, standard TV, billboards, text, direct mail, or phone calls. To fulfill any traditional audience strategy, a dealer or agency requires consumer Personally Identifiable Information (PII) such as name, email address, mailing address, or phone number. Traditional marketing has also been called direct marketing when the marketing is sent specifically to a home address, email address, or phone number. For instance, when utilizing direct mail, automotive marketers require the most up-to-date consumer information to ensure they reach the correct mailbox. To reduce cost and personalize the marketing experience, the best marketers utilize audience sources based on strong data sets unique to the automotive world. For example, targeting consumers driving a particular vehicle or nearing the end of their lease is more effective than just sending a generic message to an entire geographic area. Even with the explosive growth of digital marketing, direct marketing remains relevant. Consumers still respond and use offers sent to their mailboxes, and personalized mailers still result in vehicle sales or service appointments. While there is a higher cost per thousand than digital marketing, direct marketing still earns an essential place in the automotive retail media mix. What are online audiences? Online audiences are typically consumers reached through 0ver-The-Top (OTT) advertising, banner ads, or addressable TV. When using these marketing channels, PII is not needed. Online marketing can encompass many different methods to reach customers, including social media, email, websites, blogs, and search engine traffic. Nearly every business will benefit from online marketing because it's a great way to reach people where they already are—online. Online marketing has grown in a digital world where so many people rely on their cell phones to organize their day, conduct research, and communicate with the world. According to Tech At Last, “most households now have between 5 and 10 screens. Those numbers include tablets, PCs, notebooks, smartphones, and televisions. These devices include any screen that enables users to watch or read content.1 Audience modeling can help simplify the chaos of digital channel segmentation Utilizing digital channels allows marketers to reach consumers where they increasingly spend their time. Whether it is their Inbox, streaming service, social media, or other digital platforms, knowing consumer preferences makes the marketing experience more meaningful. In other words, capitalizing on audience modeling to determine the best channel and how the consumer engages with the channel can make all the difference. For example, to showcase your new Hybrid, you may not want your video advertising shown on a YouTube channel about construction! The same commercial would resonate far better on a channel with DIY or gardening shows. To best capitalize on addressable TV, 0ver-The-Top advertising, or banner ads, marketers should work with an audience provider who can identify targeted segments based on psychographic, demographic, and geographic data allowing for more effective marketing. Look for a provider like Experian Automotive that can deliver a robust database, extensive consumer insights, and deeply established partnerships for audience activation (social media or TV), allowing your marketing dollars to work harder with extended reach. Whether you are looking to reach consumers online or traditionally, reaching the right consumers with the right message on the right channel is always the goal. To achieve this, working with a third party for audiences built on clean data is necessary. If you can segment the audiences or filter for automotive criteria, your marketing dollars and messaging will go farther! 1TechAtLast (2014) The Average Number of Screens in a Home Has Increased 

I love the random “National” holidays that are popping up. Did you know we recently celebrated National Chocolate Chip Cookie Day? It’s no 4th of July or Labor Day, but I love cookies, so I’m gonna roll with it. Today, we will chat about Identity Resolution in relation to strategic marketing. So, believe it or not, I’m going to tie in Identity Resolution to chocolate chip cookies! (By the way, if you haven’t read my last two blogs, this is a trend! Check it out:) Use Data Insights for an Eagle’s Eye Approach to Marketing (National American Eagle Day) Building the Perfect Audience is Like Building the Perfect Burger (National Hamburger Month) What is identity resolution? Identifying who you want to target as part of a strategic marketing campaign is critical as a marketer in the auto industry. Experian defines this process as identity resolution or “the ability to stitch together and unify the names, addresses, emails, device IDs, cookies (not the yummy kind), and other identifiers associated with customers.” Today’s marketers risk working with outdated, fragmented, or incomplete data without proper identity resolution, which correlates to inefficient campaign targeting and wasted marketing dollars. So, let’s use baking a chocolate cookie as an example. For the perfect cookie, you need flour, white sugar, brown sugar, salt, baking soda, butter, vanilla, eggs, and chocolate chips. There are a lot of ingredients, and you need all of them to make a complete cookie. When it comes to targeting consumers, let’s say you only have fragmented pieces of customer information for a woman who bought a car from you (partial ingredients). You have her name, the address where she lived when she purchased the car, and what looks like a work email address (that has bounced). So, it’s like having the flour, eggs, and sugar for your cookie! But you need the rest of the ingredients for the recipe, and you need to confirm whether any key ingredients have expired or “gone bad.” Or you may have customers you know through analytics who have visited a dealer or OEM website, but you can’t track them down further. You have an electronic footprint but no other identifying data. So, you have the critical ingredient like flour, but it’s not necessarily super helpful unless you have other pieces to complete the recipe. Find the missing ingredients with identity resolution solutions Marketers need to utilize solutions like data hygiene, database management, additional data append, digital identity resolution (to link anonymous online IDs to data assets), and identity graphs to help create a complete view of their customers and prospects. In other words, some solutions can help bring all the ingredients together to make a “whole” cookie or a “whole” customer. You’re ready—add the chocolate chips and bake! I realize that identity resolution can be complicated, so we’ve written a resource with examples/scenarios and the corresponding solutions that can help resolve typical challenges. Download a complimentary copy of Identity Resolution: Helping marketers deliver personalized communication for life. At Experian Automotive, we are experienced in unifying fragmented data points across offline and online touchpoints to create a complete view of your best auto customers and prospects. Feel free to reach out to discuss our solutions or to share your favorite chocolate chip cookie recipe.

Consumers are shifting to used vehicles over new, with a higher percentage of consumers financing used. The move comes as the industry continues to grapple with inventory shortages, driving vehicle values higher.

Rapid improvements in technology and the rise in online activity are driving higher consumer expectations for fast and frictionless digital experiences. And yet, only 50% of credit unions are executing on a digital strategy compared to 79% of banks.1 What can credit unions do to stand out from the competition and keep up with increasing consumer demands? 23% of consumers say their expectations for the digital experience have only somewhat or not at all been met.2 The answer lies in digital prequalification. With a frictionless digital prequalification solution, members can prequalify themselves online in real time before starting the formal application process. This puts members in the driver’s seat, allowing them to see their eligibility for credit offers and choose whether they’d like to proceed with the application. By delivering immediate feedback and offers to members online, credit unions can increase response rates, improve digital engagement and enhance the prequalification experience. Case Study: Achieving growth through a seamless digital prequalification experience Gather Federal Credit Union is the largest neighbor-island credit union in Hawaii, providing financial products and services to more than 35,000 members. Wanting to grow more loans while providing members with a seamless and efficient online experience, the credit union looked for a comprehensive solution that could improve their decisioning and enhance their prequalification strategy. They partnered with Experian and Rate Reset to implement a frictionless digital experience that enables members to opt-in for prequalified offers. Leveraging the power of Experian’s PowerCurve® and Rate Reset’s The ButtonTM, Gather had flexible access to consumer data, attributes and scores, allowing them to verify user identities and match members with loan products before their application formally went through the credit underwriting process. By gaining a better understanding of which credit options they prequalified for, members were able to opt-in instantly, creating a faster, more personalized digital prequalification experience. Within three weeks of implementation, Gather booked over $600,000 in new personal loans and credit cards. Additionally, of all the applicants that passed the credit union’s credit prequalification criteria, 54% accepted their offer and received a loan. “With a few clicks, members and non-members alike can instantly prequalify themselves for a loan. We’re extremely pleased with this offering, which has enabled us to extend our reach and grow the Gather community,” said Justin Ganaden, Executive Vice President, Gather Federal Credit Union. Read the full case study to learn more about how Experian can help grow your business with a frictionless digital prequalification experience. Download the full case study 1 https://www.big-fintech.com/Media/BIG-News/ArticleID/779/New-Digital-Banking-Platform Digital Transformation Revolution – Is it Leaving Credit Unions Behind? 2 2022 Global Insights Report, Experian, 2022.

Last year, my wife and I decided to take advantage of Experian’s remote-work policy and move back to my hometown, so we could be closer to family and friends. As excited as we were, the idea of selling and buying a home during the market frenzy was a little intimidating. Surprisingly, finding a home wasn’t our challenge. We lucked out and found what we were looking for in the exact neighborhood we wanted. Our biggest challenge was timing. Our goal was to sell our current home and immediately move into the new one, with no overlap of payments or having to put our belongings in storage while we temporarily stayed with family (or in a short-term rental). Once we sold our home, we had exactly 30 days to close on our new home and move in. Since this wasn’t our first rodeo, I felt confident all would go smoothly. Things were on schedule until it came time to verify our income and employment. Who knew something so simple could be so hard? Let me share my experience with you (crossing my fingers you have a smoother experience in place for your borrowers): Pay statements — I was initially asked to provide pay statements for the previous two months. Simple enough for most borrowers, but it does require accessing your employer payroll system, downloading multiple pay statements and then either uploading them to your lender portal or emailing them to your loan officer (which no borrower should be asked to do). This took me less than 30 minutes to pull together. Verification report — After reviewing my pay statements, my lender told me they needed an official verification report on my current and previous employers. At the time, Experian had just acquired Corporate Cost Control (now part of Experian Employer Services), a company that offers verification-fulfillment services for employees, employers and verifiers. I told my lender I could provide the verification report via Corporate Cost Control and they agreed it would be sufficient. This took me several days to figure out. HR information — Just when I thought we were good, I received an email from my lender asking for one last thing — the HR contact information of my current and previous employers. Obtaining this information from Experian was easy, but I didn’t know where to start with my previous employer. I ended up texting some former colleagues to get the information I needed. This too took several days to figure out. Finally, I got the call from my lender saying everything checked out and I was good to proceed with the underwriting process. Whew! What I thought would take 30 minutes ended up taking a full week and threatened our ability to close on time. And not to mention was a massive headache for me personally. This isn’t how you want your borrowers to feel, which brings me to the title of this blog, it’s 2022, why is mortgage employment verification so painful in today’s digital age? Other industries have figured out how to remove pain and friction from their user experiences? Why is the mortgage industry lagging? Mortgage employment verification made easy If it’s lack of awareness, you should know there are tools that can automate verification decisions. Experian Verify™ is a perfect example where mortgage lenders can instantly verify a borrower’s income and employment information (both current and previous employers), without needing to ask the borrower to track down pay statements or HR contact information. You can literally verify information in seconds — not hours, days, or weeks.  And the service supports Day 1 Certainty® from Fannie Mae — giving you increased peace of mind the data is accurate and trusted. This not only improves the borrower experience but increases efficiency with your loan officers. Tools like Experian Verify are a win-win for you and your borrowers. So, what are you waiting for? Modernize your experience and give your borrowers (like me) the frictionless experience they deserve, and if we’re being honest, are starting to demand. Learn more about income and employment verification for mortgage    

From desktops and laptops to smartphones and tablets, consumers leverage multiple devices when engaging with businesses. For financial institutions, it’s important to identify and track consumers across devices to deliver personalized offers and increase opportunities for conversion. The problem with cookies Marketers have traditionally used cookies to determine what their audience’s interests are based on their browsing activity and past purchases. An example of this is when a user browses a product on a website and then leaves without buying. Later that day, they see an ad on social media featuring the same product they viewed earlier. While this may seem like an effective way for financial institutions to target or prescreen consumers, cookies are very limited — they can’t capture or connect a user’s behavior across multiple touchpoints. In other words, if a consumer were to browse a website on their mobile phone and then switch to their laptop, the business would view these sessions as two different visits from two different people, resulting in inconsistent messaging and a disjointed user experience. This is a huge problem because devices don’t decide to convert — people do. To reach the right consumers with the right message wherever they may be, financial institutions must look beyond cookies. This is where people-based marketing comes in. What is people-based marketing? People-based marketing takes a more personal marketing approach. Rather than targeting devices, people-based marketing connects businesses with real people, helping them understand who their customers are, what they’re looking for and how to engage them in more meaningful ways. It does this by gathering customer data from both online and offline sources to create a single customer profile. Let’s look at an example of people-based marketing by revisiting the scenario above. A user is browsing a company’s website on their mobile phone and decides to switch to their laptop. By capturing a single view of the user with a people-based marketing solution, the brand can recognize them and resume their experience on the new device. What’s more, the brand understands the user’s intent at that stage of their customer journey and leverages real-time data to make relevant offers and recommendations, helping further personalize their experience. Benefits of a people-based marketing approach To create better-targeted credit marketing campaigns, financial institutions must ensure they have the right data and technologies in place. Experian’s industry-leading database technology provides the freshest, most comprehensive consumer credit data to help organizations optimize their lending criteria and marketing campaigns. With Experian’s people-based marketing solutions, financial institutions can: Reach the right people: Leveraging fresh consumer data allows financial institutions to target the best prospects for their business needs and avoid making preapproved offers to nonqualified consumers. Deliver personalized credit offers: By gaining a more complete view of consumers, financial institutions can ensure they’re sending relevant offers to users where and when they’re most motivated to respond. Enhance their retargeting efforts: If a user isn’t ready to convert upon their first interaction, organizations can reach them on another device to reinforce their messaging in more personalized ways. Provide frictionless, omnichannel experiences: Seamless identity resolution allows organizations to accurately recognize consumers across devices, leading to more precise targeting and cohesive customer experiences. Reduce marketing spend: By focusing on the right audience with the right message, organizations can avoid unlikely prospects and reduce wasted marketing spend, all while increasing response rates. Expand their reach: With rich insights into their clients’ interests, demographics and behaviors, financial institutions can target prospects who share similar characteristics and are likely to convert. Leveraging an effective people-based marketing strategy is crucial to delivering personalized and consistent customer experiences in today’s multi-device world. To learn more about how Experian can help, visit us today. Learn about our people-based marketing solutions

According to Experian’s Automotive Market Trends Report: Q1 2022, new vehicle registrations were down 19% from the prior year—declining to 3.4 million. Used registrations went from 11.4 million to 9.9 million year-over-year, decreasing 13.2%.

Even before the COVID-19 pandemic, many Americans lacked equal access to financial products and services — from tapping into affordable banking services to credit cards to financing a home purchase. The global pandemic likely exacerbated those existing issues and inequalities. That reality makes financial inclusion — a concerted effort to make financial products and services affordable and accessible to all consumers — more crucial than ever. The playing field wasn't level before the pandemic The Federal Reserve reported that in 2019, Black and Hispanic/Latino families had median wealth that was just 13 to 19 percent of that of White families — $24,100 and $36,100, respectively, compared to $188,200 for White families. That inequity is also reflected in credit score disparities. While credit scores, income, and wealth aren't synonymous, the traditional credit scoring system leads marginalized communities to be disproportionately labeled unscoreable or credit invisible, and face challenges in accessing credit. New research from Experian shows that in over 200 cities, there can be more than a 100-point difference in credit scores between neighborhoods — often within just a few miles from each other. Marginalized communities bore the financial brunt Minority communities were also disproportionately impacted by COVID-19 in terms of infections, job losses, and financial hardship. In mid-2020, the Economic Policy Institute (EPI) reported Black and Hispanic/Latino workers were more likely than White workers to have lost their jobs or to be classified as essential workers — leading to economic or health insecurity. Government initiatives — including the Coronavirus Aid, Relief, and Economic Security (CARES) Act, the Paycheck Protection Program (PPP) and the American Rescue Plan — created expanded unemployment benefits, paused loan payments, eviction moratoriums, and direct cash payments. These helped consumers' immediate financial well-being. The National Bureau of Economic Research found that, on average, U.S. households spent approximately 40 percent of their first two stimulus checks, with about 30 percent used for savings and another 30 percent used to pay down debt. In some communities highly affected by COVID-19, consumers were able to pay down nearly 40 percent of their credit card balances and close more than 9 percent of their bank card accounts, according to recent data. Stimulus payments have been credited with reducing childhood poverty and helping families save for financial emergencies. That being said, people on the upper end of the income scale were able to improve their financial situation even more. Their wealth grew at a much faster pace than people at the bottom end of the income distribution scale, according to data from the Federal Reserve. How the pandemic deepened financial exclusion Although hiring has picked up in low-wage industries, research indicates that low-wage jobs have been the slowest to return. According to a survey by the Pew Research Center, among respondents who said their financial situation worsened during the pandemic, 44 percent believe it will take three years or more to get back to where they were a year ago. About 10 percent don't think their finances will ever recover. Recent Experian data shows that consumers in certain communities that were already struggling to pay their debts fell into an even bigger hole. These consumers missed payments on 56 percent more accounts in the period between spring 2019 to spring 2020 compared to the year prior. Credit scores in these neighborhoods fell by an average of over 20 points during the first 18 months of COVID-19. That being said, U.S. consumers overall increased their median credit scores by an average of 21 points from the end of 2019 to the end of 2021. When consumers with deteriorating credit encounter financial stresses, often their only recourse is to pile on additional debt. Even worse, those who can't access traditional credit often turn to alternative credit arrangements, such as short-term loans, which may charge significantly higher interest rates. READ MORE: More Than a Score: The Case for Financial Inclusion What can the financial sector do? Without access to affordable financial services and products, subprime or credit invisible consumers may not get approved for a mortgage or car loan — things that might come much easier for consumers with better scores. This is just one reason why financial inclusion is so important — and why financial services companies have a big role to play in driving it. One place to start is by taking a broader view of what makes a creditworthy consumer. In addition to traditional credit scoring models, new tools can leverage artificial intelligence and machine learning, along with alternative data, to analyze the creditworthiness of consumers. By qualifying for credit, more consumers can access affordable mortgages, car loans, business loans and insurance - freeing up money for other expenses and allowing them to grow their wealth.. READ MORE: What Is Alternative and Non-Traditional Data? Last word Marginalized communities were already struggling economically before the pandemic, and the impact of COVID-19 has made the wealth disparities worse. With the pandemic waning, now is the time for financial institutions to take action on financial inclusion. Not only does it help improve your customers' lives and make them better prepared for the next crisis, but it also fuels your business's growth and bottom line.

Across all levels of government, we are seeing a surge in digital modernization — transforming the delivery of traditional services into a contactless, digital environment. Whether it is with the Social Security Administration’s digital modernization effort, the state of California’s Vision 2023, or even at the local level with counties modernizing digital access to records for their citizens. This comes at a time when identity fraud in government services is growing at an alarming rate, with an increase of over 2,900 percent related to government benefits or document fraud in 2020 according to the FTC. A key challenge for any agency planning digital modernization is balancing access with security. This is particularly critical in an environment where over 1 billion records were exposed over a recent five-year span. Given the U.S. population is currently about 330 million, that means each citizen had an average of three breach exposures. Therefore, identity proofing must be a critical part of any agency modernization effort. National Institute of Standards and Technology Special Publication (NIST SP) 800-63 revision 3 lays out a risk assessment to help organizations determine the appropriate level of security to apply based on six areas of impact. However, identity proofing a new citizen through digital channels requires significant friction at levels above Identity Assurance Level 1 (IAL1). The stringent requirement for a biometric match in this standard at IAL2 presents a real challenge to the balance mentioned above, which has led agencies to seek alternatives that both combat the risk of fraud and identity theft and are operationally sound. Experian has been supporting the private sector in this endeavor for years, helping them effectively manage identity theft and fraud concerns while allowing seamless access to services for the vast majority of their consumers. This risk-based approach through our CrossCore® platform and multitude of options to identify and combat fraud allows agencies to deliver the security and accessibility expected by their citizens. CrossCore allows agencies to verify and identify citizens using multiple data points: Traditional personally identifiable information (name, address, Social Security number, date of birth) Email Phone number Device identification Biometrics CrossCore can instantly take the risk information from these risk signals above and initiate additional verification where there is a higher risk of identity theft or fraud, including knowledge-based verification (KBV), one-time passcode (OTP) to a trusted phone number linked to the identity being presented, or even remotely verifying identity documents (e.g., driver’s license, passport, etc.) through our new CrossCore Doc Capture solution. Just recently, Experian helped a state lottery agency implement an efficient identity proofing system to enable digital redemption of winning tickets, saving both the government and the citizens time and money. Experian’s identity, verification, and fraud solutions can help government agencies of all sizes on their journey to digital modernization. To learn more about the options available to your agency, visit us or request a call. CrossCore Doc Capture

Whether a consumer has a brand-new or used vehicle, it’s inevitably going to need regular maintenance and require repairs. Fortunately for aftermarket professionals, the aftermarket “sweet spot” is continuously growing—a trend that should be watched closely. Vehicles in the sweet spot are typically between six- to 12-model-years-old and have aged out of general OEM manufacturer warranties for any repairs. Knowing the model year and type of vehicles that are in operation will be important for aftermarket professionals to determine what parts may be needed, and anticipate potential consumer needs. According to Experian’s Automotive Market Trends Report: Q1 2022, 35.8% of vehicles in operation (VIO) now fall within the aftermarket sweet spot, a 6.5% year-over-year increase. It is important to note that the aftermarket sweet spot max volume record of 104 million is expected to be broken over the next 12-18 months, considering the sweet spot volume was 100.3 million through Q1 2022 and the last time it exceeded that number was nine years ago. The increase will create more opportunities for aftermarket professionals as more vehicles will potentially need maintenance. Aftermarket “sweet spot” will continue to grow Right now, the aftermarket sweet spot consists of model years between 2011 and 2017. There were 10.5 million 2011 model year vehicles on the road through Q1 2022, this low volume will transition into the post-sweet spot next year. At the same time, there will be 16.5 million 2018 model year vehicles entering the sweet spot. Furthermore, an estimated 16.7 million vehicles in operation with a 2019 model year and almost 14.3 million vehicles in operation with a 2020 model year will be transitioning into the sweet spot in the next two years. When these model year vehicles enter the sweet spot, the current 12 million vehicles with a 2012 model year and an estimated 13.7 million 2013 model year vehicles will transition into the post-sweet spot, resulting in a notable increase. Watching this data closely will allow aftermarket professionals to continue assisting with maintenance and repairs for these vehicles that are currently on the road, as well as prepare for what’s to come to the aftermarket industry in approaching years. To learn more about other vehicle registration trends, watch the full Automotive Market Trends Report: Q1 2022 presentation on demand.

Online transactions face a higher chance of being declined because face-to-face transactions come with a higher degree of confidence. Businesses who fail to address this problem run the risk of losing the customer permanently, damaging their reputation and bottom line. What can e-commerce marketplace merchants do to increase the approval rate of online payments without making fraud worse? Here are three tips: 1. Broaden access to data beyond what’s in the authorization stream. Merchants use a variety of solutions to prevent fraud and verify identities, but typically use very limited data to approve a transaction through the authorization stream between a merchant and issuer. The issuing bank often only compares the purchase data to the address listed on the card owner’s account, which can create discrepancies when a customer is trying to send an order to an alternate address from their primary home. That’s why it’s important for merchants to augment their decisioning with additional data sources to help inform the true customer risk profile. 2. Leverage capabilities that can assess risk for both the transaction and the individual behind it. Today, merchants leverage limited data including email address data, device information and other technologies in silos to augment their address verification capabilities. The challenge with these tools is that each judge the risk of a specific component of the transaction or the individual. Where integration is lacking, false positives are amplified. 3. Collaborate and share expertise and data across merchants and issuers. How can Experian help? Leveraging our multidimensional data, technical expertise and advanced analytics capabilities, we can help businesses frictionlessly authenticate valid customers, thus increasing revenue by increased approval rates, without increasing fraud or operating expenses. Only Experian Link™, our frictionless credit card owner verification solution can associate payment card with its owner. This solution combines Experian’s vast data assets – including over 500 million credit card account numbers on file in the U.S. across 250 million consumers – with our advanced analytics capabilities to match and assess the risk of the identity attributes presented to the merchant to the identity attributes contributed by the credit card’s issuer and to Experian’s network of credit and identity inquiries. The result: Experian Link’s patent-pending REST API simply and frictionlessly improves a merchant’s customer experience and helps increase revenue while reducing their fraud and operating expenses. Get started with Experian Link™ now. Experian Link