Tag: financial inclusion

Many organizations remain committed to financial inclusion to create better outcomes for underrepresented consumers and small businesses by unlocking barriers to financial well-being and closing the wealth gap. Organizations like credit unions, Community Development Financial Institutions (CDFIs), and Minority Deposit Institutions (MDIs) live by these values. These lenders work hard to ensure these values are reflected in the products and services they offer and in how they attract and interact with customers. While funding from the federal government is being scaled back for many of these community-based financial institutions, Experian is scaling up! We're still here to support CDFIs, Credit Unions, and their members, along their financial inclusion journey. The cross-walk between DEIB and financial inclusion Although Diversity, Equity, Inclusion and Belonging (DEIB) and financial inclusion involve different strategies, there’s an undeniable connection that should ultimately be tied to a business’s overall goal and mission. The communities that are historically underrepresented and underpaid in the workforce – including Black Americans, Hispanic/Latinos, and rural white Americans – also tend to be marginalized by the established financial system. Financial institutions that work to address the inequities within their organizations and promote financial inclusion may find that these efforts complement each other. DEIB policies help promote and support individuals and groups regardless of their backgrounds or differences. While financial inclusion is less specific to a company or organization, instead it describes the strategic approach and efforts that allow people to affordably and readily access financial products, services, and systems. The impact of financial inclusion Lenders can promote financial inclusion in different ways. A bank can change the requirements or fees for one of its accounts to better align with the needs of people who are currently unbanked. Or it can offer a solution to help people who are credit invisible, or unscoreable by conventional credit scoring models, establish their credit files for the first time. Financial institutions also use non-traditional data scoring to lend to applicants that conventional scoring models can’t score. By incorporating alternative credit data[1] (also known as expanded FCRA-regulated data) into their marketing and underwriting, lenders can expand their lending universe without taking on additional risk. Financial inclusion efforts for all Experian is a champion of financial inclusion by supporting both financial institutions and consumers. Through our Inclusion Forward – Experian Empowering Opportunities™ initiative, we work directly with lenders to reach underserved communities and extend greater credit access to consumers. We also offer various tools to help consumers build and understand their credit, and to help financial institutions reach underrepresented communities. We provide individuals with everything from financial inclusion solutions to literacy education to insights about their own financial profile, along with ways to help underrepresented communities improve their financial wellness.* One way that we are doing this is through our consumer programs called Experian Go® and Experian Boost® –that are available for free through the Experian app. These first-of-their-kind programs work together to help consumers improve their credit profile. Experian Go helps individuals establish a credit file, while Experian Boost assists with adding tradelines to an existing credit file. For example, with Experian Boost, individuals can connect positive payments to utility, rent, streaming services, and other accounts to improve their credit scores. Membership with Experian helps consumers monitor their credit, manage their money, and find ways to save money, including shopping for insurance. In fact, consumers saved an average of $828 per year when they switched and saved through Experian Insurance Marketplace.[2] Working together to create financial empowerment 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 financial institutions like credit unions, CDFIs and MDIs take steps every day to drive financial inclusion and help underrepresented communities. These values are a part of their business DNA, and Experian is here to help keep their legacy alive. Whether you’ve established your strategy or need help with implementation, we can help you enhance your financial inclusion efforts. Learn more about our helpful solutions. Experian will point you in the right direction to business growth. Visit our website [1] Using Alternative Credit Data for Credit Underwriting. [2] Experian research. *Experian Boost: Results will vary. Not all payments are boost-eligible. Some users may not receive an improved score or approval odds. Not all lenders use Experian credit files, and not all lenders use scores impacted by Experian Boost. Learn more.

 Technology has dramatically transformed the financial services landscape, fostering innovation and enhancing operational efficiency. In an interview at this year’s Money20/20 conference, Scott Brown, Group President of Financial and Marketing Services for Experian, sat down with Fintech Futures’ North America Correspondent Heather Sugg to share how Experian is leveraging data, analytics, and artificial intelligence (AI) to modernize the financial services industry. During the discussion, Scott highlighted the recent launch of Experian Assistant — our newest generative AI tool designed to accelerate the modeling lifecycle, resulting in greater productivity, improved data visibility, and reduced delays and expenses. While Experian Assistant is a business-to-business solution built alongside our clients, Scott also noted its broader impact — helping increase credit access for underserved consumers. “At Experian, we’re really focused on addressing the underserved community who doesn’t have access to credit,” said Scott. “And we think that this tool helps lenders reach those customers in an easier way.”  Learn more about Experian Assistant and watch our tech showcase to see the solution in action. Learn more Watch tech showcase

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

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

This article was updated on February 13, 2024. Traditional credit data has long been a reliable source for measuring consumers' creditworthiness. While that's not changing, new types of alternative credit data are giving lenders a more complete picture of consumers' financial health. With supplemental data, lenders can better serve a wider variety of consumers and increase financial access and opportunities in their communities. What is alternative credit data? Alternative credit data, also known as expanded FCRA-regulated data, is data that can help you evaluate creditworthiness but isn't included in traditional credit reports.1 To comply with the Fair Credit Reporting Act (FCRA), alternative credit data must be displayable, disputable and correctable. Lenders are increasingly turning to new types and sources of data as the use of alternative credit data becomes the norm in underwriting. Today, lenders commonly use one or more of the following: Alternative financial services data: Alternative financial services (AFS) credit data can include information on consumers' use of small-dollar installment loans, single-payment loans, point-of-sale financing, auto title loans and rent-to-own agreements. Consumer permission data: With a consumer's permission, you can get transactional and account-level data from financial accounts to better assess income, assets and cash flow. The access can also give insight into payment history on non-traditional accounts, such as utilities, cell phone and streaming services. Rental payment history: Property managers, electronic rent payment services and rent collection companies can share information on consumers' rent payment history and lease terms. Full-file public records: Local- and state-level public records can tell you about a consumer's professional and occupational licenses, education, property deeds and address history. Buy Now Pay Later (BNPL) data: BNPL tradeline and account data can show you payment and return histories, along with upcoming scheduled payments. It may become even more important as consumers increasingly use this new type of point-of-sale financing. By gathering more information, you can get a deeper understanding of consumers' creditworthiness and expand your lending universe. From market segmentation to fraud prevention and collections, you can also use alternative credit data throughout the customer lifecycle. READ: 2023 State of Alternative Credit Data Report Challenges in underwriting today While unemployment rates are down, high inflation, rising interest rates and uncertainty about the economy are impacting consumer sentiment and the lending environment.2 Additionally, lenders may need to shift their underwriting approaches as pandemic-related assistance programs and loan accommodations end. Lenders may want to tighten their credit criteria. But, at the same time, consumers are becoming accustomed to streamlined application processes and responses. A slow manual review could lead to losing customers. Alternative credit data can help you more accurately assess consumers' creditworthiness, which may make it easier to identify high-risk applicants and find the hidden gems within medium-risk segments. Layering traditional and alternative credit data with the latest approaches to model building, such as using artificial intelligence, can also help you implement precise and predictive underwriting strategies. Benefits of using alternative data for credit underwriting Using alternative data for credit underwriting — along with custom credit attributes and automation — is the modern approach to a risk-based credit approval strategy. The result can offer: A greater view of consumer creditworthiness: Personal cash flow data and a consumer's history of making (or missing) payments that don't appear on traditional credit reports can give you a better understanding of their financial position. Improve speed and accuracy of credit decisions: The expanded view helps you create a more efficient underwriting process. Automated underwriting tools can incorporate alternative credit data and attributes with meaningful results. One lender, Atlas Credit, worked with Experian to create a custom model that incorporated alternative credit data and nearly doubled its approvals while reducing risk by 15 to 20 percent.3 Increase financial inclusion: There are 28 million American adults who don't have a mainstream credit file and 21 million who aren't scoreable by conventional scoring models.4 With alternative credit data, you may be able to more accurately assess the creditworthiness of adults who would otherwise be deemed thin file or unscorable. Broadening your pool of applications while appropriately managing risk is a measurable success. What Experian builds and offers Experian is continually expanding access to expanded FCRA-regulated data. Our Experian RentBureau and Clarity Services (the leading source of alternative financial credit data) have long given lenders a more complete picture of consumers' financial situation. Experian also helps lenders effectively use these new types of data. You can also incorporate the data into your proprietary marketing, lending and collections strategies. Experian is also using alternative credit data for credit scoring. The Lift Premium™ model can score 96 percent of U.S. adults — compared to the 81 percent that conventional models can score using traditional data.5 The bottom line Lenders have been testing and using alternative credit data for years, but its use in underwriting may become even more important as they need to respond to changing consumer expectations and economic uncertainty. Experian is supporting this innovation by expanding access to alternative data sources and helping lenders understand how to best use and implement alternative credit data in their lending strategies. Learn more 1When 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. Hence, the term “Expanded FCRA Data" may also apply and can be used interchangeably. 2Experian (2024). State of the Economy Report 3Experian (2020). OneAZ Credit Union [Case Study] 4Oliver Wyman (2022). Financial Inclusion and Access to Credit [White Paper] 5Ibid.

The importance of financial wellness and identity protection solutions cannot be overstated. With the increase in financial scams and the ever-changing landscape of the digital world, it is imperative to stay up-to-date with the latest trends and technologies that can help safeguard your consumers’ financial future. Experian will host an exclusive digital sales event in partnership with the Consumer Bankers Association (CBA) and Experian Partner Solutions on this topic. Join Experian’s Director of Sales, Chris Anderson, on September 20 at 1:00 p.m. ET/10:00 a.m. PT to discover the power of credit education and identity protection while learning how to drive revenue, engagement, retention, and new business within your consumer base. Three critical components to driving revenue by empowering consumers: Critical credit education tools: Credit is an integral part of our lives, and yet many people do not fully understand how credit works or how to improve it. Webinar attendees will learn about credit education tools that can help their customers improve their credit scores and make informed financial decisions. These tools can also enable financial institutions to better serve their customers by understanding their needs and providing them with appropriate solutions, fostering greater loyalty. Technologies for identity protection: Identity theft is a growing problem, with many individuals and businesses falling victim to fraud and other scams online. Experian Partner Solutions offers a suite of identity protection tools that can monitor and provide real-time accurate alerts, ensuring that your digital presence is secure. Attendees of the webinar will have the opportunity to learn more about these technologies and how they can take proactive steps to protect themselves and their businesses from cyberattacks. Credit-building strategies and identity theft prevention: Building credit takes time and effort, but with the right strategies, it can be done efficiently and effectively. Our expert speaker, Chris Anderson, will share insights into credit-building strategies that can help individuals boost their credit scores as well as ways to prevent identity theft. For more insights and best practices to promote financial wellness at your organization and increase revenue and retention, join our webinar. Register today! Use promo code: EXPERIAN920 for free registration.

Credit risk management best practices have been established and followed for years, but new technology and data sources offer lenders an opportunity to refine their credit risk management strategies.   What is credit risk management? Credit risk is the possibility that a borrower will not repay a debt as agreed. And credit risk management is the art and science of using risk mitigation tools to minimize losses while maximizing profits from lending activity.   Lenders can create credit underwriting criteria for each of their products and use risk-based pricing to alter the terms of a loan or line of credit based on the risk associated with the product and borrower. Credit portfolio management goes beyond originations and individual decisions to consider portfolios at large.   CASE STUDY: Atlas Credit worked with Experian to create a machine learning-powered model, optimize risk score cutoffs and automate their underwriting. The small-dollar lender nearly doubled its loan approval rates while reducing its losses by up to 20 percent. Why is credit risk management important? Continually managing credit risk matters because there's always a balancing act.   Tightening a credit box — using more restrictive underwriting criteria — might reduce credit losses. However, it can also decrease approval rates that would exclude borrowers who would have repaid as agreed. Expanding a credit box might increase approval rates but is only beneficial if the profit from good new loans exceeds credit losses.   Fraud is also on the rise and becoming more complex, making fraud management an important part of understanding risk. For instance, with synthetic identity fraud, fraudsters might “age an account" or make on-time payments before, “busting out” or maxing out a credit card and then abandoning the account.  If you look at payment activity alone, it might be hard to classify the loss as a fraud loss or credit loss.  Additionally, external economic forces and consumer behavior are constantly in flux. Financial institutions need effective consumer risk management and to adjust their strategies to limit losses. And they must dynamically adjust their underwriting criteria to account for these changes. You could be pushed off balance if you don't react in time. What does managing credit risk entail? Lenders have used the five C’s of credit to measure credit risk and make lending decisions for decades:  Character: The likelihood a borrower will repay the loan as agreed, often measured by analyzing their credit report and a credit risk score.   Capacity: The borrower's ability to pay, which lenders might measure by reviewing their outstanding debt, income, and debt-to-income ratio.   Capital: The borrower's commitment to the purchase, such as their down payment when buying a vehicle or home.   Collateral: The value of the collateral, such as a vehicle or home for an auto loan or mortgage.   Conditions: The external conditions that can impact a borrower's ability to afford payments, such as broader economic trends.  Credit risk management considers these within the context of a lender’s goals and its specific lending products. For example, capital and collateral aren't relevant for unsecured personal loans, which makes character and capacity the primary drivers of a decision.   Credit risk management best practices at origination Advances in analytics, computing power and real-time access to additional data sources are helping lenders better measure some of the C’s.   For example, credit risk scores can more precisely assess character for a lender's target market than generic risk scores. And open banking data allows lenders to more accurately understand a borrower's capacity by directly analyzing their cash flows.   With these advances in mind, leading lenders:  View underwriting as a dynamic process: Lenders have always had to respond to changing forces, and the pandemic highlighted the need to be nimble. Consider how you can use analytical insights to quickly adjust your strategies.   Test the latest credit risk modeling techniques: Artificial intelligence (AI) and machine learning (ML) techniques can improve credit risk model performance and drive automated credit risk decisioning. We've seen ML models consistently outperform traditional credit risk models by 10 to 15 percent.¹ Use multiple data sources: Alternative credit data* and consumer-permissioned data offer increased and real-time visibility into borrowers' creditworthiness. These additional data sources can also help fuel ML credit risk models.   Expand their lending universe: Alternative data can also help lenders more accurately assess the credit risk of the 49 million Americans who don't have a credit file or aren't scoreable by conventional models.² At the same time, they consciously remove biases from their decisions to increase financial inclusion.  READ: The Getting AI-driven decisioning right in financial services white paper explores trends, advantages, challenges and best practices for using AI in decisioning.   Experian helps lenders measure and manage credit risk Experian can trace its history of helping companies manage their credit risk back to 1803.³ Of course, a lot has changed since then, and today Experian is a leading provider of traditional credit data, alternative credit data and credit risk analytics.   For those who want to quickly benefit from the latest technological advancements, our Lift Premium™ credit risk model uses traditional and alternative data to score up to 96 percent of U.S. consumers — compared to the 81 percent that conventional models can score.4 Experian’s Ascend Platform and Ascend Intelligence Services™ can help lenders develop, deploy and monitor custom credit risk models to optimize their decisions.    With end-to-end platforms, our account and portfolio management services can help you limit risk, detect fraud, automate underwriting and identify opportunities to grow your business.   Learn more about Experian's approach to credit risk management ¹Experian (2020). Machine Learning Decisions in Milliseconds ²Oliver Wyman (2022). Financial Inclusion and Access to Credit ³Experian (2013). A Brief History of Experian 4Experian (2023). Lift Premium™ and Lift Plus™ *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. Hence, the term “Expanded FCRA Data" may also apply and can be used interchangeably.

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

Conventional credit scoring systems are based on models developed over six decades. As consumer behavior evolves, it's important to seek newer, fresher sources of data to assess creditworthiness. Because the data used by conventional credit scoring models does not provide the full picture of a consumer's financial health, a large population segment of the United States is excluded from accessing credit.With changing times and new technology, forward-thinking financial institutions are using alternative data1 to gain a more holistic consumer view. A move toward inclusive finance, including incorporating alternative data in credit scoring models, is a crucial step towards promoting financial inclusion and helping millions of consumers achieve their financial and personal goals. More importantly, it provides the insight needed for lender confidence, which can help fuel business growth. Understanding limitations of the conventional scoring system Credit scores can be obtained from any one of the major credit bureaus based on information found in a consumer's credit report and are incorporated into a lender's credit-decisioning process. While there are various credit scoring models based on lender preference that could yield slightly different scores, all traditional scores are comprised of credit characteristics within these categories: payment history, credit mix, credit history length, amounts owed and new credit account inquires. Lenders use past credit performance to predict whether extending credit is a risk, posing a major challenge for credit invisible and thin-file consumers and leaving millions at a disadvantage. This dilemma also limits business growth for lenders. Consumers who are unable to access mainstream credit often turn to the alternative financial services (AFS) industry, a $140 billion market that continues to grow by 7-10 percent each year.2 The AFS industry offers consumers additional products, like payday loans, cash advances, short-term installment loans, and rent-to-own loans, none of which are included in a traditional credit file. With alternative credit data, lenders can obtain a more holistic view of creditworthiness and risk, helping to enhance inclusive lending by broadening their pool of potential loan candidates. Why conventional scoring models simply aren't enough Because of the criteria used to assess creditworthiness, conventional credit scoring models do not accurately capture an individual's financial behavior or health. Indeed, many people demonstrate financial responsibility in other legitimate ways that are not reported to the major credit bureaus.In contrast, non-traditional data considers a consumer's everyday financial behavior to provide a more accurate score for lenders. It can include a range of indicators, such as: Bill payments: Consistent payment history on typical household bills (which may have been paid from a debit account). Bank account data: Shows average balance and withdrawal activity and recurring payroll deposits (indicating that a consumer is employed and receives a regular income). Rental data: Indicates a consumer's long-term stability in making regular, on-time monthly rent payments. Registered licenses: Registered licenses or membership with a skilled  trade or profession can indicate the likelihood to generate income. Including this type of data can benefit both lenders and applicants. According to an Experian report, by adding alternative credit data to a near-prime population, lenders could see an increase in approvals for consumers historically being left behind. When Clear Early Risk Score™ is paired with the VantageScore® credit score, approvals climb to 16 percent of the population inside the same risk criteria, representing a 60 percent lift in credit approvals for near-prime consumers.2 The pool of people from whom this type of alternative data can reliably be collected is growing, with 70 percent of consumers willing to provide additional financial information to a lender if it increases their chance for approval or improves their interest rate for a mortgage or car loan.3 Plenty of available yet untapped data exists that can add value to a consumer's profile and lead to greater inclusive lending. For example, 95 percent of Americans own a cell phone and about two-thirds of households headed by young adults are being rented. Reporting on this data could potentially "thicken" a credit file and provide deeper insight into a consumer's credit behavior.3Indeed, turning to non-traditional data can expand the credit universe and lead to more inclusive credit scoring models, especially by leveraging existing technology and financial inclusion solutions. Research shows that with Lift Premium™, virtually all of the 21 million conventionally unscorable consumers would become scoreable, and over 1 million of them would have scores in the near-prime range or better. Of these, 1.7 million would be Black American and Hispanic/Latino people.3 For lenders, these numbers reveal potential opportunities to grow their businesses. Of the 255 million adults in the U.S., 19 percent of credit eligible adults are left out of mainstream scoring systems. 28 million are considered credit invisible – meaning they have no credit history (11%). 21 million are considered unscorable – have partial credit history but not enough to generate a score using conventional models (8%). Of the remaining credit eligible adults, 57 million were considered subprime (22%). 106 million U.S. adults can't get mainstream credit rates (42%). Adopting inclusive finance lending practices is not only the right thing to do but also provides financial institutions with the chance to reach untapped markets, grow their business and promote a healthier economy. Financial inclusion is not a destination, but an ever-evolving journey. Don't miss out on this critical opportunity to join the movement. Learn more about our financial inclusion tools to help enhance your inclusive lending approach. 1"Alternative Credit Data,” refers to the use of alternative data and its appropriate use in consumer credit lending decisions, as regulated by the Fair Credit Reporting Act. Hence, the term “Expanded FCRA Data” may also apply in this instance and both can be used interchangeably.2Experian: 2020 State of Alternative Credit Data.3Oliver Wyman white paper, “Financial Inclusion and Access to Credit," January 12, 2022.

Today's top lenders use traditional and alternative credit data1 – or expanded Fair Credit Reporting Act (FCRA) regulated data – including consumer permissioned data, to enhance their credit decisioning. The ability to gain a more complete and timely understanding of consumers' financial situation allows lenders to better gauge creditworthiness, make faster decisions and grow their portfolios without taking on additional risk. Why lenders need to go beyond traditional credit data Traditional credit data is — and will remain — important to understanding the likelihood that a borrower will repay a loan as agreed. However, lenders who solely base credit decisions on traditional credit data and scores may overlook creditworthy consumers who don't qualify for a credit score — sometimes called unscorable or credit invisible consumers. Additionally, they may be spending time and money on manual reviews for applications that are low risk and should be automatically approved. Or extending offers that aren't a good fit. What is consumer permissioned data? Consumer permissioned data, or user permissioned data, includes transactional and account-level data, often from a bank, credit union or brokerage account, that a consumer gives permission to view and use in credit decisioning. To access the data, lenders create secure connections to financial institutions or data aggregators. The process and approach give consumers the power to authorize (and later retract) access to accounts of their choosing — putting them in control of their personal information — while setting up security measures that keep their information secure. In return for sharing access to their account information, consumers may qualify for more financial products and better terms on credit offers. What does consumer permissioned data include? Consumers can choose to share different types of information with lenders, including their account balances and transaction history. While there may be other sources for estimated or historic account-level data, permissioned data can be updated in real-time to give lenders the most accurate and timely view of a consumer's finances. There is also a wealth of information available within these transaction records. For example, consumers can use Experian Boost™ to get credit for non-traditional bills, including phone, utility, rent and streaming service payments. These bills generally don't appear in traditional credit reports and don't impact every type of credit score. But seeing a consumer's history of making these payments can be important for understanding their overall creditworthiness. What are the benefits of leveraging consumer permissioned data? You can incorporate consumer permissioned data into custom lending models, including the latest explainable machine learning models. As part of a loan origination system, the data can help with: Portfolio expansion Accessing and using new data can expand your lending universe in several ways. There are an estimated 28 million U.S. adults who don't have a credit file at the bureaus, and an additional 21 million who have a credit file but lack enough information to be scorable by conventional scoring models. These people aren't necessarily a credit risk — they're simply an unknown. Increased insights can help you understand the real risk and make an informed decision. Additionally, a deeper insight into consumers' creditworthiness allows you to swap in applications that are a good credit risk. In other words, approving applications that you wouldn't have been able to approve with an older credit decision process. Increase financial inclusion Many credit invisibles and thin-file applicants also fall into historically marginalized groups.2 Almost a third of adults in low-income neighborhoods are credit invisible.3 Black Americans are much more likely (1.8 times) to be credit invisible or unscorable than white Americans.4 Recent immigrants may have trouble accessing credit in the U.S., even if they had a good credit history in their home country.5 As a result, using consumer permissioned data to expand your portfolio can align with your financial inclusion efforts. It's one example of how financial inclusion is good for business and society. Enhance decisioning and minimize risk Consumer-permissioned data can also improve and expand automated decisions, which can be important throughout the entire loan underwriting journey. In particular, you may be able to: Verify income faster: By linking to consumers’ accounts and reviewing deposits, lenders can quickly verify their income and ability to pay. Make better decisions: Consumer permissioned data also give lenders a new lens for understanding an applicant’s credit risk, which can let you say yes more often without taking on additional risk. Process more applications: A better understanding of applicants’ credit risk can also decrease how many applications you send to manual review, which allows you to process more applications using the same resources. Increase customer satisfaction: Put it all together, and faster decisions and more approvals lead to happier customers. While consumer permissioned data can play a role in all of these, it's not the only type of alternative data that lenders use to grow their portfolios. What are other types of alternative data sources? In addition to consumer permissioned data, alternative credit data can include information from: Alternative financial services: Credit data from alternative financial services firms includes information on small-dollar installment loans, single-payment loans, point-of-sale financing, auto title loans and rent-to-own agreements. Rental agreement: Rent payment data from landlords, property managers, collection companies and rent payment services. Public records: Full-file public records go beyond what’s in a consumer’s credit report and can include professional and occupational licenses, property deeds and address history. Why partner with Experian? As an industry leader in consumer credit and data analytics, Experian is continuously building on its legacy in the credit space to help lenders access and use various types of alternative data. Along with Experian Boost™ for consumer permissioned data, Experian RentBureau and Clarity Services are trusted sources of alternative data that comply with the FCRA. Experian also offers services for lenders that want help understanding and using the data for marketing, lending and collections. For originations, the Lift Premium™ credit model can use alternative credit data to score over 65% of traditionally credit-invisible consumers. Expand your lending universe Lenders are turning to new data sources to expand their portfolios and remain competitive. The results can provide a win-win, as lenders can increase approvals and decrease application processing times without taking on more risk. At the same time, these new strategies are helping financial inclusion efforts and allowing more people to access the credit they need. Learn more 1When 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. Hence, the term “Expanded FCRA Data" may also apply in this instance and both can be used interchangeably.2-5Oliver Wyman (2022). Driving Growth With Greater Credit Access

More than seven million Americans who are unbanked cite high account fees, insufficient funds to meet minimum balances and a lack of needed products and services as the main reasons for not having a checking or savings account.1 Credit unions understand that being unbanked comes at a steep cost and have turned their focus to developing products and strategies that prioritize financial inclusion — a movement to combat inequities in banking and better serve the financial needs of marginalized communities. In 2022, the House passed Expanding Financial Access for Underserved Communities Act to allow federal credit unions to add underserved areas to their fields of membership as a means of improving financial inclusion. “We believe diversity, inclusion, equity, belonging and accessibility has to be weaved into the strategic fabric of an organization [and its] culture," says Max Villaronga, President and Chief Executive Officer of Raiz Federal Credit Union. “When we don't participate in [diversity, equity and inclusion], we are complicit in essentially keeping people out of the banking system." For credit unions, driving financial inclusion starts with setting a vision that will leave a lasting legacy that includes fostering financial empowerment, closing the credit gap and building generational wealth among the communities they serve. Here's a roadmap for getting started. Best practices for engagement Establishing a set of best practices is the essential starting point for improving financial inclusion. The process begins with the mission statement and extends to all aspects of operations from hiring procedures to sponsorships and donations. Villaronga advocates three strategies for engagement: Engage the leadership team Conversations about financial inclusion need to start at the top. The C-suite must be willing to be honest about the barriers and willing to adopt changes that will make credit unions more inclusive. “[T]hese systemic barriers will exist until somebody deliberately moves them out of the way," Villaronga says. “The people who are feeling those barriers are not in the position to do the moving it's up to [CEOs and CFOs] to decide to do something to make a difference." Making a difference starts with choosing a leadership team that reflects the demographics of local communities. Case in point: At Raiz Federal Credit Union in El Paso, Texas, senior management and the board have LGBTQIA+ representation and include members from diverse racial and ethnic identities. The board of directors has also prioritized creating a pipeline that will attract more diverse talent to the board. “Many of [our board members] come from underserved backgrounds in our border community," Villaronga says. “This is a very personal journey for them because they can see themselves in the lives of the people we're serving." Build trust in underserved communities According to an FDIC Survey, “unbanked" U.S. households listed a lack of trust in financial institutions as a top reason for not having a bank account. And lack of access to a checking or savings account is most prominent among racial and ethnic minorities and low-income communities.2 Actions speak louder than words, according to Villaronga. Raiz Federal Credit Union uses diverse images in its advertising and provides information in both English and Spanish. The credit union was also awarded the Juntos Avanzamos (Together We Advance) designation from Inclusiv for its commitment to serving and empowering Hispanic communities by providing safe, affordable and relevant financial services. Villaronga believes that a designation like Juntos Avanzamos sends the message to the community that the credit union is committed to improving general financial literacy and pre-loan education, as well as reducing higher charge-offs and other barriers to accessing financial services that exist in lending and serving underserved communities. Dispel financial inclusion myths Among traditional financial institutions, myths about financial inclusion are widespread and include falsehoods that pricing products for marginalized communities are too challenging, reaching out is not profitable, and providing financial products to underserved markets is too risky. “Credit unions were really built to extend credit [and] were also originally established to serve consumers that were being ignored by the existing systems that were in place but those consumers are still being ignored today," Villaronga says. “Are those communities too risky to serve? Some companies are serving them [and] they would not be doing so if it was not profitable." Raiz Federal Credit Union offers several affordable loan products — from credit builder loans to citizenship loans and payday lender payoff loans along with credit cards — that allow members to build their credit scores and establish positive credit histories. Rather than pricing loans based on what the competition is charging, Villaronga calculates the fixed and variable costs, failure fraction and target return on assets to get a floor pricing per unit. The approach, he adds, allowed Raiz Federal Credit Union to report earnings of over 150 basis points in 2021 while maintaining a 12 percent capital ratio, proving that financial inclusion is good for the bottom line. “THE IDEA THAT YOU CANNOT [ACHIEVE FINANCIAL INCLUSION] IN A WAY THAT'S SAFE AND SOUND AND SATISFIES THE [NATIONAL CREDIT UNION ADMINISTRATION] IS TRULY A MYTH." - Max Villaronga, President and CEO, Raiz Federal Credit Union Partner for Success For credit unions, an important part of achieving financial inclusion goals is identifying partners that can help. Raiz Federal Credit Union set a goal to increase automated lending from 20 percent to 60 percent, but using a traditional loan origination program was insufficient to hit that target. A partnership with Experian allowed the credit union to access tools that allowed it to better identify non-traditional risks and opportunities, as well as develop more robust lending and optimized decision strategies. Experian launched Inclusion ForwardTM, an initiative to help boost financial inclusion and close the wealth gap, and support financial institutions by enhancing their inclusion approach by leveraging FCRA-regulated data sources (otherwise known as alternative data).3 In addition to providing a deeper view of unbanked and underbanked consumers and reducing friction and speed of decisioning through increased automation, Experian Lift PremiumTM uses income and employer data, social security and financial management insights — transaction behaviors that were historically credit invisible or unscorable — to help credit unions meet the needs of underserved markets and increase opportunities for inclusion. “This automation also allows us to reduce our fixed cost per unit — [and] it's a really big deal because this is not by little, but a lot," Villaronga says. “This lower cost to produce [a loan] allows us to improve our interest rates to underserved members, further creating an appealing value proposition that's in line with our financial inclusion strategy." Access our case study to learn more about how Experian can help grow your business with a frictionless digital prequalification experience. Access now 1Federal Reserve Bank of Cleveland (May 2022). Unbanked in America: A Review of Literature 2 Federal Deposit Insurance Corporation (December 2021). American Banks: Household use of Banking and Financial Services 3When 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. Hence, the term “Expanded FCRA Data" may also apply in this instance and both can be used interchangeably

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.

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.

These days, the call for financial inclusion is being answered by a disruptive force of new financial products and services. From fintech to storied institutional players, we're seeing a variety of offerings that are increasingly accessible and affordable for consumers. It's a step in the right direction. And beyond the moral imperative, companies that meet the call are finding that financial inclusion can be a source of business growth and a necessity for staying relevant in a competitive marketplace. A diaspora of credit-invisible consumers To start, let's put the problem in context. A 2022 Oliver Wyman report found about 19 percent of the adult population is either credit invisible (has no credit file) or unscoreable (not enough credit information to be scoreable by conventional credit scoring models). But some communities are disproportionately impacted by this reality. Specifically, the report found: Black Americans are 1.8 times more likely to be credit invisible or unscoreable than white Americans. Recent immigrants may have trouble accessing credit in the U.S., even if they're creditworthy in their home country. About 40 percent of credit invisibles are under 25 years old. In low-income neighborhoods, nearly 30 percent of adults are credit invisible and an additional 16 percent are unscoreable. Younger and older Americans alike may shy away from credit products because of negative experiences and distrust of creditors. Similarly, the Federal Deposit Insurance Corporation (FDIC) reports that an estimated 5.4 percent (approximately 7.1 million) households, were unbanked in 2019 — often because they can't meet minimum balance requirements or don't trust banks. Credit invisibles and unscoreables may prefer to deal in a cash economy and turn to alternative credit and banking products, such as payday loans, prepaid cards, and check-cashing services. But these products can perpetuate negative spirals. High fees and interest can create a vicious cycle of spending money to access money, and the products don't help the consumers build credit. In turn, the lack of credit keeps the consumers from utilizing less expensive, mainstream financial products. The emergence of new players Recently, we've seen explosive growth in fintech — technology that aims to improve and automate the delivery and use of financial services. According to market research firm IDC, fintech is expected to achieve a compound annual growth rate (CAGR) of 25 percent through 2022, reaching a market value of $309 billion. It's reaching mass adoption by consumers: Plaid® reports that 88 percent of U.S. consumers use fintech apps or services (up from 58 percent in 2020), and 76 percent of consumers consider the ability to connect bank accounts to apps and services a top priority. Some of these new products and services are aimed at helping consumers get easier and less expensive access to traditional forms of credit. Others are creating alternative options for consumers. Free credit-building tools. Experian Go™ lets credit invisibles quickly and easily establish their credit history. Likewise, consumers can use Experian Boost™ to build their credit with non-traditional payments, including their existing phone, utility and streaming services bills. Alternative credit-building products. Chime® and Varo® , two neobanks, offer credit builder cards that are secured by a bank account that customers can easily add or withdraw money from. Mission Asset Fund, a nonprofit focused on helping immigrants, offers a fee- and interest-free credit builder loan through its lending circle program. Cash-flow underwriting. Credit card issuers and lenders, including Petal and Upstart, are using cash-flow underwriting for their consumer products. Buy now, pay later. Several Buy Now Pay Later (BNPL) providers make it easy for consumers to pay off a purchase over time without a credit check. Behind the scenes, it's easier than ever to access alternative credit data1 — or expanded Fair Credit Reporting Act (FCRA)-regulated data — which includes rental payments, small-dollar loans and consumer-permissioned data. And there are new services that can help turn the raw data into a valuable resource. For example, Lift PremiumTM uses multiple sources of expanded FCRA-regulated data to score 96 percent of American adults — compared to the 81 percent that conventional scoring models can score with traditional credit data. While we dig deeper to help credit invisibles, we're also finding that the insights from previously unreported transactions and behavior can offer a performance lift when applied to near-prime and prime consumers. It truly can be a win-win for consumers and creditors alike. Final word There's still a lot of work to be done to close wealth gaps and create a more inclusive financial system. But it's clear that consumers want to participate in a credit economy and are looking for opportunities to demonstrate their creditworthiness. Businesses that fail to respond to the call for more inclusive tools and practices may find themselves falling behind. Many companies are already using or planning to use alternative data, advanced analytics, machine learning, and AI in their credit-decisioning. Consider how you can similarly use these advancements to help others break out of negative cycles. 1When 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. Hence, the term “Expanded FCRA Data" may also apply in this instance and both can be used interchangeably.

From awarding bonus points on food delivery purchases to incorporating social media into their marketing efforts, credit card issuers have leveled up their acquisition strategies to attract and resonate with today’s consumers. But as appealing as these rewards may seem, many consumers are choosing not to own a credit card because of their inability to qualify for one. As card issuers go head-to-head in the battle to reach and connect with new consumers, they must implement more inclusive lending strategies to not only extend credit to underserved communities, but also grow their customer base. Here’s how card issuers can stay ahead: Reach: Look beyond the traditional credit scoring system With limited or no credit history, credit invisibles are often overlooked by lenders who rely solely on traditional credit information to determine applicants’ creditworthiness. This makes it difficult for credit invisibles to obtain financial products and services such as a credit card. However, not all credit invisibles are high-risk consumers and not every activity that could demonstrate their financial stability is captured by traditional data and scores. To better evaluate an applicant’s creditworthiness, lenders can leverage expanded data sources, such as an individual’s cash flow or bank account activity, as an additional lens into their financial health. With deeper insights into consumers’ banking behaviors, card issuers can more accurately assess their ability to pay and help historically disadvantaged populations increase their chances of approval. Not only will this empower underserved consumers to achieve their financial goals, but it provides card issuers with an opportunity to expand their customer base and improve profitability. Connect: Become a financial educator and advocate Credit card issuers looking to build lifelong relationships with new-to-credit consumers can do so by becoming their financial educator and mentor. Many new-to-credit consumers, such as Generation Z, are anxious about their finances but are interested in becoming financially literate. To help increase their credit understanding, card issuers can provide consumers with credit education tools and resources, such as infographics or ‘how-to’ guides, in their marketing campaigns. By learning about the basics and importance of credit, including what a credit score is and how to improve it, consumers can make smarter financial decisions, boost their creditworthiness, and stay loyal to the brand as they navigate their financial journeys. Accessing credit is a huge obstacle for consumers with limited or no credit history, but it doesn’t have to be. By leveraging expanded data sources and offering credit education to consumers, credit card issuers can approve more creditworthy applicants and unlock barriers to financial well-being. Visit us to learn about how Experian is helping businesses grow their portfolios and drive financial inclusion. Visit us