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Alternative credit scoring has become mainstream. Lenders that use alternative credit scores can find opportunities to expand their lending universe without taking on additional risk and more accurately assess the credit risk of traditionally scoreable consumers. Obtaining a more holistic consumer view can help lenders improve automation and efficiency throughout the customer lifecycle. What is alternative credit scoring? Alternative credit scoring models incorporate alternative credit data* that isn't typically found on consumer credit reports. These scores aren't necessarily trying to predict alternative outcomes. The goal is the same — to understand the likelihood that a borrower will miss payments in the future. What's different is the information (and sometimes the analytical techniques) that inform these predictions.Traditional credit scoring models solely consider information found in consumer credit reports. There's a lot of information there — Experian's consumer credit database has data on over 245 million consumers. But although traditional consumer data can be insightful, it doesn't necessarily give lenders a complete picture of consumers' creditworthiness. Alternative credit scores draw from additional data sources, including: Alternative financial services: Credit data from alternative financial services (AFS) can tell you about consumers' experiences with small-dollar installment loans, single-payment loans, point-of-sale financing, auto title loans and rent-to-own agreements. Buy Now Pay Later: Buy Now Pay Later (BNPL) borrowing is popular with consumers across the scoring spectrum, and lenders can use access to open BNPL loans to better assess consumers' current capacity. Rental payments: Landlords, property managers, collection companies, rent payment services and consumer-permissioned data can give lenders access to consumers' rent payment history. Full-file public records: Credit reports generally only include bankruptcy records from the previous seven to ten years. However, lenders with access to full-file public records can also learn about consumers' property deeds, address history, and professional and occupational licenses. READ: Take a deep dive into Experian's State of Alternative Credit Data report to learn more about the different types of alternative credit data and uses across the loan lifecycle. With open banking, consumers can now easily and securely share access to their banking and brokerage account data — and they're increasingly comfortable doing so. In fact, 70% would likely share their banking data for better loan rates, financial tools or personalized spending insights.Tools like Experian Boost allow consumers to add certain types of positive payment information to their Experian credit reports, including rent, utility and select streaming service payments. Some traditional scores consider these additional data points, and users have seen their FICO Score 8 from Experian boosted by an average of 13 points.1 Experian Go also allows credit invisible consumers to establish a credit report with consumer-permissioned alternative data.  The benefits of using alternative credit data The primary benefit for lenders is access to new borrowers. Alternative credit scores help lenders accurately score more consumers — identifying creditworthy borrowers who might otherwise be automatically denied because they don't qualify for traditional credit scores. The increased access to credit may also align with lenders' financial inclusion goals.Lenders may additionally benefit from a more precise understanding of consumers who are scoreable. When integrated into a credit decisioning platform, the alternative scores could allow lenders to increase automation (and consumers' experiences) without taking on more credit risk. The future of alternative credit scoring Alternative credit scoring might not be an alternative for much longer, and the future looks bright for lenders who can take advantage of increased access to data, advanced analytics and computing power.Continued investment in alternative data sources and machine learning could help bring more consumers into the credit system — breaking barriers and decreasing the cost of basic lending products for millions. At the same time, lenders can further customize offers and automate their operations throughout the customer lifecycle. Partnering with Experian Small and medium-sized lenders may lack the budget or expertise to unlock the potential of alternative data on their own. Instead, lenders can turn to off-the-shelf alternative models that can offer immediate performance lifts without a heavy IT investment.Experian's Lift PlusTM score draws on industry- leading mainstream credit data and FCRA-regulated alternative credit data to provide additional consumer behavior insights. It can score 49% of mainstream credit-invisible consumers and for thin file consumers with a new trade, a 29% lift in scoreable accounts. Learn more about our alternative credit data scoring solutions. Learn more * When we refer to “Alternative Credit Data," this refers to the use of alternative data and its appropriate use in consumer credit lending decisions as regulated by the Fair Credit Reporting Act (FCRA). Hence, the term “Expanded FCRA Data" may also apply in this instance and both can be used interchangeably.1Experian (2023). Experian Boost

E-commerce digital transactions are rapidly increasing as online shopping becomes more convenient. In fact, e-commerce is projected to exceed 17% of all retail sales worldwide by 2027. As a result, opportunities for fraudsters to exploit businesses and consumers for monetary gain are reaching high levels. Businesses must be aware of the risks associated with card not present (CNP) fraud and take steps to protect themselves and their customers. What is card not present fraud? CNP fraud occurs when a criminal uses a stolen or compromised credit card to make a purchase online, over the phone, or through some other means where the card is not physically present at the time of the transaction. This type of fraud can be particularly difficult to detect and prevent, as it relies on the use of stolen card information rather than the physical card itself. CNP fraud can yield significant losses for businesses — these attacks are estimated to reach a staggering $28 billion in losses by 2026. Many have adopted various fraud prevention and identity resolution and verification tools to better manage risk and prevent fraud losses. Since much of the success or failure of e-commerce depends on how easy merchants make it for consumers to complete a transaction, incorporating CNP fraud prevention and identity verification tools in the checkout process should not come at the expense of completing transactions for legitimate customers. What do we mean by that? Let’s look at false declines. What is a false decline? False declines occur when legitimate transactions are mistakenly declined due to the business's fraud detection system incorrectly flagging the transaction as potentially fraudulent. This can not only be frustrating for cardholders, but also for merchants. Businesses may lose the sale and also be on the hook for any charges that result from the fraudulent activity. They can also result in damage to the business's reputation with customers. In either case, it is important for businesses to have measures in place to mitigate the risks of both. How can online businesses increase sales without compromising their fraud defense? One way to mitigate the risk of CNP fraud is to implement additional security measures at the time of transaction. This can include requiring additional verification information, such as a CVV code or a billing zip code to further authenticate the card holder’s identity. These measures can help to reduce the risk of CNP fraud by making it more difficult for fraudsters to complete a transaction. Machine learning algorithms can help analyze transaction data and identify patterns indicating fraudulent activity. These algorithms can be trained on historical data to learn what types of transactions are more likely to be fraudulent and then be used to flag potentially fraudulent transactions before it occurs. Businesses require data and technology that raise confidence in a shopper’s identity. Currently, the data merchants receive to approve transactions is not enough. A credit card owner verification solution like Experian Link fills this gap by enabling online businesses to augment their real-time decisions with data that links customer identity to the credit card being presented for payment to help verify the legitimacy of a transaction. Using Experian Link, businesses can link names, addresses and other identity markers to the customer’s credit card. The additional data enables better decisions, increased sales, decreased costs, a better buyer experience and better fraud detection. Get started with Experian Link™ - our frictionless credit card owner verification solution. Learn more

With an abundance of loan options in today’s market, retaining customers can be challenging for banks and credit unions, especially small or regional institutions. And as more consumers look for personalization and digital tools in their banking experience, the likelihood of switching to institutions that can meet these demands is increasing.1 According to a recent Experian survey, 78% of consumers have conducted personal banking activities online in the last three months. However, 58% of consumers don’t feel that businesses completely meet their expectations for a digital online experience. To remain competitive in today's market, organizations must enhance their prescreen efforts by accelerating their digital transformation. Prescreen in today's economic environment While establishing a strong digital strategy is crucial to meeting the demands of today’s consumers, economic conditions are continuing to change, causing many financial institutions to either tighten their marketing budgets or hold off on their prescreen efforts completely. Fortunately, lenders can still drive growth during a changing economy without having to make huge cuts to their marketing budgets. How? The answer lies in digital prescreen. Case study: Uncover hidden growth opportunities Wanting to grow their business and existing relationships, Clear Mountain Bank looked for a solution that could help them engage customers with money-saving product offers while delivering a best-in-class digital banking experience. Leveraging Digital Prescreen with Micronotes, the bank was able to identify and present dollarized savings to customers who held higher-priced loans with other lenders. What’s more, the bank extended these offers through personalized conversations within their online and mobile banking platforms, resulting in improved digital engagement and increased customer satisfaction. By delivering competitive prescreen offers digitally, Clear Mountain Bank generated more than $1 million in incremental loans and provided customers with an average of $1,615 in cost savings within the first two months of deployment. “Digital Prescreen with Micronotes supplied the infrastructure to create higher-quality, personalized offers, as well as the delivery and reporting. They made prescreen marketing a reality for us.” – Robert Flockvich, Director of Community Outreach and Retail Lending at Clear Mountain Bank To learn more about how you can grow your portfolio and customer relationships, read the full case study or visit us. Download the case study Visit us 1The Keys to Solving Banking’s Customer Loyalty & Retention Problems, The Financial Brand, 2022.

Financial institutions have gone through a whirlwind in the last few years, with the pandemic forcing many to undergo digital transformations. More recently, rising interest rates and economic uncertainty are leading to a pullback, highlighting the need for lenders to level up their marketing strategies to win new customers. To get started, here are a few key trends to look out for in the new year and fresh marketing ideas for lenders. Challenges and consumers expectations in 2023 It might be cliche to mention the impact that the pandemic had on digital transformations — but that doesn't make it any less true. Consumers now expect a straightforward online experience. And while they may be willing to endure a slightly more manual process for certain purchases in their life, that's not always necessary. Lenders are investing in front-end platforms and behind-the-scenes technology to offer borrowers faster and more intuitive services. For example, A McKinsey report from December 2021 highlighted the growth in nonbank mortgage lenders. It suggested nonbank lenders could hold onto and may continue taking market share as these tech-focused lenders create convenient, fast and transparent processes for borrowers.2 Marketers can take these new expectations to heart when discussing their products and services. To the extent you have one in place, highlight the digital experience that you can offer borrowers throughout the application, verifications, closing and loan servicing. You can also try to show rather than tell with interactive online content and videos. Build a data-driven mortgage lending marketing strategy The McKinsey report also highlighted a trend in major bank and nonbank lenders investing in proprietary and third-party technology and data to improve the customer experience.2 Marketers can similarly turn to a data-driven credit marketing strategy to help navigate shifting lending environments. Segment prospects with multidimensional data Successful marketers can incorporate the latest technological and multidimensional data sources to find, track and reach high-value prospects. By combining traditional credit data with marketing data and Fair Credit Report Act-compliant alternative credit data* (or expanded FCRA-regulated data), you can increase the likelihood of connecting with consumers who meet your credit criteria and will likely respond. For example, Experian's mortgage-specific In the Market Models predict a consumer's propensity to open a new mortgage within a one to four-month period based on various inputs, including trended credit data and Premier Attributes. You can use these propensity models as part of your prescreen criteria, to cross-sell current customers and to help retain customers who might be considering a new lender. But propensity models are only part of the equation, especially when you're trying to extend your marketing budget with hyper-segmented campaigns. Incorporating your internal CRM data and non-FCRA data can help you further distinguish look-alike populations and help you customize your messaging. LEARN MORE: Use this checklist to find and fix gaps in your prospecting strategy Maintain a single view of your borrowers An identity management platform can give you a single view of a consumer as they move through the customer journey. The persistent identity can also help you consistently reach consumers in a post-cookie world and contact them using their preferred channel. You can add to the persistent identity as you learn more about your prospects. However, you need to maintain data accuracy and integrity if you want to get a good ROI. Use triggers to guide your outreach You can also use data-backed credit triggers to implement your marketing plan. Experian's Prospect Triggers actively monitors a nationwide database to identify credit-active consumers who have new tradelines, inquiries or a loan nearing term. Lenders using Prospect Triggers can receive real-time or periodic updates and customize the results based on their screening strategy and criteria, such as score ranges and attributes. They can then make firm credit offers to the prospects who are most likely to respond, which can improve cross-selling opportunities along with originations. Benefit from our expertise Forward-thinking lenders should power their marketing strategies with a data-backed approach to incorporate the latest information from internal and external sources and reach the right customer at the right time and place. From list building to identity management and verification, you can turn to Experian to access the latest data and analytics tools. Learn about Experian credit prescreen and marketing solutions. Explore our credit prescreen solutions Learn about our marketing solutions 1Mortgage Bankers Association (October 2022). Mortgage Applications Decrease in Latest MBA Weekly Survey 2McKinsey & Company (2021). Five trends reshaping the US home mortgage industry

The collections landscape is changing due to shifting consumer behaviors, demands, regulations and an economy that’s in a constant state of flux. As the market evolves, the need for greater insight and analysis grows. Matthew Baltzer, Experian’s Senior Director of Product Marketing, discusses challenges facing the collections industry and how you can continue to build a profitable portfolio. For more information on enhancing your collections strategy, view our full Q&A video. Q: Which macroeconomic trends should debt collectors be the most aware of and why? A:While we are still seeing a reasonably healthy consumer, there are trends to monitor. The first would be employment, which continues to be strong. Laid-off individuals are typically able to move back into the labor force. Second, we're seeing strong consumer spending, with rates higher than in the past three years and high origination activity. A third is declining savings rates. During the pandemic, consumers stored away extra cash, which has since come to a halt. Part of that is likely due to inflation, but it could also point to signs of financial strain. Q: How could these trends impact debt collections strategies moving forward? A: At a portfolio level, they’re good news. The average consumer’s ability to pay has yet to degrade significantly. So, collectors should be able to continue collecting payments. However, six months from now, the impact of inflation and interest rates could take a toll, and settlement offers, or higher upfront payments, may be important tools to consider. Due to increasing interest rates, many households will send money to creditors, leaving less for everyday spending. Q: How has the average consumer been affected by inflation? A: As I mentioned, both consumer spending and overall debt are up. However, when it comes to spending, certain ‘categories’ are more impacted by inflation than others. Of course, home equity and mortgages are higher, which while important, is less impactful for debt collectors. In our recent webinar, ‘Economic Outlook and the Influence on Debt Collections,’ we highlighted the uneven impact inflation has on lower earners in categories such as rent, food and energy. Due to this, collectors may see a rise in delinquency rates, particularly in unsecured personal loans and potentially automotive loans. Q: How should consumers' response to inflation impact collections efforts? A: There may be an increase in opportunities in certain trades, such as utilities, automotive and unsecured personal loans. Are you positioned as an organization to target and serve those markets? For those in the industry, the real potential for an economic weakness should present an opportunity to evaluate your collection strategy. How will you adapt to a 20 to 30% increase in volume? What about working accounts with smaller balances, which we've seen more of since the last larger recession? Experian offers software and decisioning solutions that help debt collectors optimize their strategies for an improved return on investment. Q: What consumer specific data can help lenders better predict distressed consumers? A: As an originator, the first approach to consider should be leveraging new types of data that were not available during the last recession, such as trended, third-party and alternative credit data. Supplementary data can provide leading indicators that risk is increasing before a consumer goes delinquent and their accounts are past due. Additionally, advanced analytics scoring models can help you determine which accounts are more likely to be recoverable. Experian has a new scoring model that uses a complex blend of attributes to assess each trade's history and position in wallet to better predict the likelihood of that account self-curing and separate accounts that need the most attention from those that may need more time. Finally, with accurate consumer contact data, you can enhance your digital engagement strategy and reach the right person, at the right time, on the channel they prefer There’s no time like the present to equip yourself with a successful debt management strategy. With a more holistic consumer view, you can improve account prioritization, predictability and right-party contact rates. Learn more about our debt management solutions here. Watch on-demand webinar

With consumers having more credit options than ever before, it’s imperative for lenders to get their message in front of ideal customers at the right time and place. But without clear insights into their interests, credit behaviors or financial capacity, you may risk extending preapproved credit offers to individuals who are unqualified or have already committed to another lender. To increase response rates and reduce wasted marketing spend, you must develop an effective customer targeting strategy. What makes an effective customer targeting strategy? A customer targeting strategy is only as good as the data that informs it. To create a strategy that’s truly effective, you’ll need data that’s relevant, regularly updated, and comprehensive. Alternative data and credit-based attributes allow you to identify financially stressed consumers by providing insight into their ability to pay, whether their debt or spending has increased, and their propensity to transfer balances and consolidate loans. With a more granular view of consumers’ credit behaviors over time, you can avoid high-risk accounts and focus only on targeting individuals that meet your credit criteria. While leveraging additional data sources can help you better identify creditworthy consumers, how can you improve the chances of them converting? At the end of the day, it’s also the consumer that’s making the decision to engage, and if you aren’t sending the right offer at the precise moment of interest, you may lose high-value prospects to competitors who will. To effectively target consumers who are most likely to respond to your credit offers, you must take a customer-centric approach by learning about where they’ve been, what their goals are, and how to best cater to their needs and interests. Some types of data that can help make your targeting strategy more customer-centric include: Demographic data like age, gender, occupation and marital status, give you an idea of who your customers are as individuals, allowing you to enhance your segmentation strategies. Lifestyle and interest data allow you to create more personalized credit offers by providing insight into your consumers’ hobbies and pastimes. Life event data, such as new homeowners or new parents, helps you connect with consumers who have experienced a major life event and may be receptive to event-based marketing campaigns during these milestones. Channel preference data enables you to reach consumers with the right message at the right time on their preferred channel. Target high-potential, high-value prospects By using an effective customer targeting strategy, you can identify and engage creditworthy consumers with the greatest propensity to accept your credit offer. To see if your current strategy has what it takes and what Experian can do to help, view this interactive checklist or visit us today. Review your customer targeting strategy Visit us

Whether your goal is to gain new business or create cross-sell opportunities, being proactive in your credit marketing approach can help drive higher response rates and more meaningful customer experiences. But without knowing when your ideal customers are actively seeking credit, you may risk losing business to lenders who have already engaged. So, how can you identify new opportunities when they occur? Given that 91% of consumers say they’re more likely to shop with brands that provide relevant offers, you’ll need to reach the right consumers at the right moment to increase response rates and stay ahead of competitors. Event-based credit triggers can help you identify new tradelines, inquiries and certain loans nearing term to locate highly responsive, credit-active individuals. By receiving updates on consumers’ recent credit activities, you can make firm credit offers immediately so you never miss an opportunity. Case Study: Deliver timely offers with credit trigger leads Vantage West Credit Union serves over 170,000 members across Arizona. With their members looking elsewhere for their mortgage needs, Vantage West aimed to drive as many of these members back to the credit union as possible. To do this, they looked for a solution that could help them identify and target members who are in the market for a new mortgage. By augmenting their prescreen process with Experian’s Prospect Triggers for mortgages, the credit union was able to quickly pinpoint consumers that not only met their credit criteria but were also likely to respond to their credit offers. Within two years of implementing Prospect Triggers, Vantage West funded an additional $18 million in mortgages and is continuing to grow by making timely offers to credit-active prospects. Prospect Triggers is available for banks, credit card issuers, mortgage lenders, retailers and automotive lenders. To learn how Experian can help bring precision and profitability to your credit marketing campaigns, read the full case study or visit us. Download the case study Visit us

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  

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

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.

Even as 75% of large and mid-sized U.S. e-commerce marketplace merchants predict continued double-digit online sales growth rates through the end of 2022,1 their success is hampered by unnecessary friction driven by concerns of card-not-present fraud and additional fraud risks in an online world. Compared to the 96% approval rate for point-of-sale purchases, card-not-present transactions yield a surprisingly low 81% approval rate. According to a survey conducted by Aite Novarica,1 the difference stems from reviewing up to 16% of attempted transactions for possible fraud. Even more surprising is that many of the respondents report that more than two-thirds of these reviews are later found to be unwarranted. Current transaction processing and risk capabilities are impeding growth and creating friction that damages e-commerce marketplace brands. What do we mean when we talk about online card-not-present transaction friction? Much of the success or failure of e-commerce depends on how easy merchants make it for consumers to complete a transaction. Effective identity resolution, fraud mitigation and risk solutions can lead to increased sales, while unrefined solutions and unnecessary friction will run merchants the risk of denying a legitimate customer purchase at checkout because they have been incorrectly labeled a fraudster–a ‘false positive’ or ‘false decline.’ These solutions leave room for improvement based on several key factors–the limited amount of data that passes through the authorization stream from the merchant to the issuer is a key contributor. According to Aite-Novarica Group’s The E-Commerce Fraud Enigma: The Quest to Maximize Revenue While Minimizing Fraud Report, “This reinforces the importance for merchants to augment the decisioning on their side with a wide variety of data sources that can help inform them regarding the risk profile of both the customer and the transaction.” Challenges with current transaction processing and verification tools Today, merchants leverage email address data, device information and other technologies to augment their address verification capabilities. The challenge is that these tools each judge the risk of a specific component of the transaction or the individual. Where integration is lacking, false positives are amplified and that is exactly what the data1 says is happening. Different tools working in isolation all catch the same fraud but flag different false positives—dragging down overall performance. The result is that 75% of e-commerce merchants place maximizing sales, minimizing friction and reducing false declines at the top of their to-do list. 88% say they are ready for a change to achieve these goals.1 Fast Facts 16% of all attempted online transactions experience friction for suspected fraud. 70% of this number is unnecessary, and upon manual review, are ultimately approved.1 78% of e-commerce merchants report friction driven by suspected fraud is increasing. 78% of merchants report increasing declines due to suspected fraud over the last two years. 46% indicate an increase of more than 5%.1 81% of consumers say that a positive online experience makes them think more highly of a brand.2 The longer it takes for banks and issuers to process new account, the higher the rate of abandonment, which reaches 40% when the process takes longer than 10 minutes.3 The friction that consumers encounter throughout their buying journey and the expenses associated with merchant and issuer manual reviews can be costly. It is estimated that 70% of unwarranted friction is costing businesses ~$11B in false decline losses and sales annually.1 That number is expected to increase. And, beyond profit losses incurred from the order that was declined, merchants risk damaging brand reputation because of poor customer/buying experiences, and in some cases, the loss of the customer relationship as well. Reducing friction and providing a positive shopping experience is increasingly important to business success Businesses looking to address this and limit false declines should not allow this to come at the expense completing transactions for legitimate customers. Experian can help. By leveraging our multidimensional data, technical expertise and advanced analytics capabilities, we can help businesses authenticate valid customers without unnecessary friction, thus increasing revenue by increased approval rates, without increasing fraud or operating expenses. Get started with Experian Link™ - our frictionless credit card owner verification solution. Learn more. Experian Link   1"E-Commerece Fraud Enigma: The Quest to Maximize Revenue While Minimizing Fraud Report" Aite-Novarica Group, July 2022 2"Global Insights Report: The Evolving Expectations and Experience of the New Digital Customer" Experian, April 2022 3"Capturing the Digital Identity Evolution Through a Layered Approach" Liminal, June 2021

There’s no doubt that fraudulent transactions can end up costing businesses money , which have led many to implement risk-mitigation strategies across every stage of the purchasing journey. However, this very same protection can increase false declines, and the associated friction can create high rates of cart-abandonment and negative impacts for a business’s brand. What is a false decline? A false decline is a legitimate transaction that is not completed due to suspected fraud or the friction that occurs during verification. False declines occur when a good customer is suspected of fraud and then prevented from completing a purchase. This happens when a company’s fraud prevention solution provides inadequate insight into the identity of the customer, flagging them as a potential bad actor. The result is a missed sale for the business and a frustrating transaction and experience for the customer. Are false declines costing your business money? False declines have high revenue and cost consequences for e-commerce marketplace merchants. By denying a legitimate customer purchase at checkout, businesses risk: Loss of new sales directly impacting revenue 16% of all sales are rejected by e-commerce merchants unnecessarily costing businesses ~$11B in sales annually,1 with an estimated 70% of unwarranted friction as a contributing cause. Loss in customer loyalty and lifetime value Blocked payments can leave customers with a poor impression of your business and there’s a good chance they’ll take their business elsewhere. Tarnished business reputation Today’s customers expect businesses and online services to work seamlessly. 81% of consumers say a positive experience makes them think more highly of a brand. Therefore, your brand might take a hit if unnecessary obstacles prevent them from having a good experience. High operational overhead costs The average business manually reviews 16% of transactions for fraud risk. It is estimated that 10 minutes are needed for each review. This inefficiency can be costly as it takes time away from fraud teams who can work on higher priority or strategic initiatives. Businesses can benefit from a seamless and secure payment experience that drives real-time resolution and eliminates a majority of false declines and bottlenecks, ultimately helping increase approval rates without increasing risk. Get started with Experian Link™ - our frictionless credit card owner verification solution. Learn more 1"E-Commerece Fraud Enigma: The Quest to Maximize Revenue While Minimizing Fraud Report" Aite-Novarica Group, July 2022

There's no magic solution to undoing the decades of policies and prejudices that have kept certain communities unable to fully access our financial and credit systems. But you can take steps to address previous wrongs, increase financial inclusion and help underserved communities. If you want to engage consumers and keep them engaged, you could start with the following four areas of focus. 1. Find ways to build trust Historical practices and continued discriminatory behavior have created justifiable distrust of financial institutions among some consumers. In February 2022, Experian surveyed more than 1,000 consumers to better understand the needs and barriers of underserved communities. The respondents came from varying incomes, ethnicity and age ranges. Fewer than half of all the consumers (47 percent) said they trusted their bank's personal finance advice and information, and that dropped to 41 percent among Black Americans. In a follow-up webinar discussion of financial growth opportunities that benefitted underserved communities, we found that many financial institutions saw a connection between their financial inclusion efforts and building trust with customers and communities. Here is a sample question and a breakdown of the primary responses: What do you think is the greatest business advantage of executing financial inclusion in your financial institution or business?1 Building trust and retention with customers and communities (78%) Increasing revenue by expanding to new markets (6%) Enhancing our brand and commitment to DEI (14%) Staying in alignment with regulator and compliance guidelines (2%) Organizations may want to approach financial inclusion in different ways depending on their unique histories and communities. But setting quantifiable goals and creating a roadmap for your efforts is a good place to start. 2. Highlight data privacy and mobile access If you want to win over new customers, you'll need to address their most pressing needs and desires. Consumers' top four considerations when signing up for a new account were consistent, but the specific results varied by race. Keep this in mind as you consider messaging around the security and privacy measures. Also, consider how underserved communities might access your online services. Having an accessible and intuitive mobile app or mobile-friendly website is important and likely carries even more weight with these groups. According to the Pew Research Center, as of 2021, around a quarter of Hispanic/Latino and 17% of Black Americans are smartphone-dependent — meaning they have a smartphone but don't have broadband access at home. Low-income and minority communities are also less likely to live near bank branches or ATMs. 3. Offer lower rates and fees Low rates and fees are also a top priority across the board — everyone likes to save money. However, fewer Black and Hispanic households have $1,000 in savings or more compared to white households, which could make additional savings opportunities especially important. There have been several recent examples of large banks and credit unions eliminating overdraft fees. And the Bank On National Account Standards can be a helpful framework if you offer demand deposit accounts. Lowering interest rates on credit products can be more challenging, particularly when consumers don't have a thick (or any) credit file. But by integrating expanded FCRA-regulated data sources and new scoring models, such as Experian's Lift PremiumTM, creditors can score more applicants and potentially offer them more favorable terms. 4. Leverage credit education tools and messaging For consumers who've had negative credit experiences, are new to credit, or are recent immigrants with little understanding of the U.S. credit system, building and using credit can feel daunting. About 80% of women have little or no confidence in getting approved for credit or worry that applying could hurt them further. Only 20% of consumers who make less than $35,000 a year say they're "extremely" or "very" confident they'll be approved for credit. While most consumers haven't used credit education tools before, they're willing to try. More than 60 percent of Black and Hispanic respondents said they're likely to sign up for free credit education tools and resources from their banks. Offering these tools could be an opportunity to strengthen trust and help consumers build credit, which can also make it easier for them to qualify for financial products and services in the future. Moving forward with financial inclusion Broadening access to credit can be an important part of financial inclusion, and financial institutions can grow by expanding outreach to underserved communities. However, the relationship must be built on trust, security, and offerings that meet these consumers' needs. Through our Inclusion Forward™ initiative, Experian can support your financial inclusion goals — helping you empower underserved communities by helping them grow their financial futures. Learn more about Experian financial inclusion solutions and financial inclusion tools.

“As an industry, fintech is known for creating compelling and personalized online journeys. But that experience can suffer if the fraud-prevention routines are perceived as burdensome by consumers,” said Kathleen Peters, Chief Innovation Officer for Experian’s Decision Analytics business, in a recent Q&A article with Finovate.  With the proliferation of the digital world, managing digital identity and “getting it right” is crucial. However, as much as it is an opportunity, leveraging consumer identity data can also create a stumbling block for some organizations. Peters cited Experian’s annual Global Identity and Fraud Report, specifically, the consumer concern around online security and the need for industry players to find the right balance between security and a frictionless experience.  “In short, we need the right fraud-prevention treatment for the right transaction; it is not a one-size-fits-all exercise,” Peters said.  The interview also covered the importance of knowing a customer’s identity for compliance reasons and business use cases, dispelling the myth that banks’ efforts around personalization are considered “creepy” by consumers, and the best ways for banks and fintechs to build trust among their consumers.   According to Experian’s Global Identity and Fraud Report, consumers are willing to give entities they trust more data, particularly if they feel they are receiving value. And it’s undeniable that data is at the heart of personalization and building better relationships.  “It comes down to identifying and understanding consumers and their needs. The best way to do that is with a lot of data,” Peters said.  To read the full article, visit Finovate’s website.  Finovate: Experian CIO on Digital Identity, Personalization and Building Trust with Consumer Data  Learn more about Experian Identity