Credit Lending

Early warning signs: Are you prepared for a shift in mortgage delinquencies?  As the mortgage industry enters the final quarter of 2025, signs of stress are emerging beneath what still appears, on the surface, to be a relatively stable housing market. Recent mortgage performance data indicates a notable increase in late-stage mortgage delinquencies, particularly among loans reaching 120 days past due (DPD)—a critical inflection point in the credit lifecycle that often precedes more serious default outcomes. (Smith, 2025)  While early-stage delinquencies (30 DPD) have remained volatile but directionally flat, the acceleration observed in later-stage delinquency signals a more concerning trend: a growing cohort of borrowers is struggling to recover once they fall behind. Historically, sustained increases at the 120-day mark have been a leading indicator of elevated 180-day delinquencies and higher foreclosure activity in subsequent quarters. (Smith, 2025)  For lenders and servicers, this shift highlights the importance of taking action before risk becomes fully realized.  A tale of two products: mortgages vs. HELOCs   Interestingly, this deterioration is not evenly distributed across product types. Home equity lines of credit (HELOCs) have continued to show relative stability, with both early- and late-stage delinquency rates holding steady through mid-2025. This resilience likely results in stronger borrower equity positions, more conservative underwriting, and greater borrower flexibility in managing revolving credit obligations.  However, stability should not be mistaken for immunity. Elevated consumer debt, persistent inflationary pressures, and the resumption of certain deferred obligations (including student loans) could introduce risk into home equity portfolios with little advance notice.  The divergence between first-lien mortgage performance and HELOCs reinforces a critical reality: portfolio risk is no longer uniform.  Mortgage risk is increasingly segmented  Today’s risk environment demands more granular analysis. Borrower performance varies significantly based on loan vintage, equity position, income volatility, and broader household debt burdens. Late-stage mortgage delinquency growth is particularly concentrated among specific borrower segments rather than broadly distributed across portfolios.  This fragmentation means lenders can no longer rely solely on aggregate delinquency metrics. Instead, risk strategies can be differentiated by:  Product type (first mortgage vs. HELOC)  Delinquency stage (early vs. mid vs. late)  Borrower behavior and payment hierarchy  Local economic and labor market conditions  Modern risk frameworks increasingly rely on portfolio-specific modeling, continuous monitoring, and forward-looking indicators, rather than relying on lagging performance metrics.  Moving from reactive to predictive risk management  In a market defined by rapid shifts, reactive servicing strategies are no longer sufficient. The most effective lenders are transitioning toward predictive risk management, using near-real-time data to identify stress earlier in the delinquency curve.  Advanced risk monitoring capabilities enable lenders to:  Detect emerging risk before accounts reach irreversible delinquency stages.  Prioritize outreach and loss-mitigation resources more effectively.  Align intervention strategies with borrower behavior and the likelihood of recovery.  Targeted engagement—whether through proactive borrower communication, modified repayment options, or tailored servicing workflows—can significantly improve outcomes when applied during the mid-stage delinquency window, particularly between 60 and 120 days past due.  Strategic insight: Focus on the middle of the curve  Many risk strategies concentrate on two extremes: fully current accounts and severely delinquent loans. However, the greatest opportunity for loss avoidance often exists in the middle.  Borrowers in the 60–120 DPD range are frequently still recoverable, especially when interventions are informed by behavioral data rather than static credit attributes. Understanding which borrowers are likely to self-cure versus those trending toward deeper delinquency allows lenders to deploy capital and servicing resources more efficiently. (Smith, 2025)  A data-driven approach to mid-stage delinquency management can help lenders:  Improve loan-level profitability  Reduce servicing and loss-mitigation costs  Limit downstream foreclosure exposure  Strengthen long-term portfolio performance  The bottom line  The recent rise in late-stage mortgage delinquencies is not merely a short-term anomaly—it is an early warning signal. At the same time, stable HELOC performance highlights how risk dynamics can vary significantly across products and borrower segments. (Smith, 2025)  As the market moves through the remainder of 2025, lenders that adopt differentiated, predictive, and data-driven risk strategies will be far better positioned to navigate volatility, protect portfolio performance, and respond decisively as conditions evolve.  The question is no longer whether risk is changing, but whether your organization is equipped to identify and manage it before losses materialize.  Part of the Series: New Players, New Rules: How Direct Mail Is Reshaping Mortgage and Equity Lending    References  Smith, J. (2025). Mortgage delinquency trends. Journal of Housing Finance, 12(3), 45-60.  Doe, A. (2025). HELOC performance stability. Real Estate Economics Review, 18(2), 101-115. 

A Realignment is underway  The U.S. housing market is no longer waiting on the sidelines. After enduring over two years of historically high mortgage rates, the Federal Reserve began implementing rate cuts in fall 2025, with additional reductions forecast for early 2026. For lenders, this marks more than a turning point—it’s a call to action.  Whether you’re targeting first-time buyers, tracking refinance-ready loans, or watching affordability trends, today’s environment demands rapid, strategic adjustments.  Rate cuts are fueling renewed demand  Mortgage rates, which hovered around 7% for much of the past year, have begun to ease. Even a modest drop has the potential to unlock substantial borrower interest—particularly among the 4.4 million U.S. mortgages now “ripe” for refinance.  Expect a spike in both rate-and-term refinances and cash-out activity, as homeowners look to lower payments or access equity. Lenders must scale up quickly, especially around digital capacity, prescreen targeting, and streamlined closings.  Affordability is still a roadblock—Especially for younger renters  Despite improving borrowing conditions, affordability remains a systemic challenge. The national rent-to-income (RTI) ratio stands at 46.8%, up 7.7% since early 2023. In high-cost states like California and Massachusetts, it exceeds 56%.  Experian data reveals that 62% of renters fall into the low-to-moderate income category, spending over half their income on rent. Over 50% now fall into Near Prime or Subprime credit tiers, making alternative credit data—like rental payment history—vital for inclusive underwriting.  Refinance isn't the only opportunity—Target first-time buyers strategically  Gen Z is now the largest segment of the rental population, and many are financially strained yet aspirational. A major opportunity exists in helping these renters transition to homeownership using expanded credit models and customized offerings.  With Federal Housing Finance Agency (FHFA)-approved models like VantageScore 4.0 and FICO 10T on the horizon, lenders should explore how newer scoring frameworks and rent payment reporting can increase access to mortgage credit.  Region-specific strategies are more important than ever  From Miami to Minneapolis, market conditions vary drastically. Some metros, like Kansas City (+16.7%) and Louisville (+14.2%), are experiencing double-digit rent growth, while cities like Atlanta and Jacksonville are seeing declines.  Lenders must tailor outreach based on local affordability trends, migration patterns, and housing supply constraints. Dynamic analytics tools—like Experian’s Ascend or Mortgage Insights Dashboard—can guide regional strategy at scale.  The supply side may not keep pace  Even with rate cuts stimulating demand, housing supply could remain a bottleneck. Multifamily completions are outpacing starts 1.5 to 1, and single-family construction, though recovering, remains cautious.  In markets with tight supply, reduced borrowing costs may drive up prices faster than inventory can absorb, exacerbating affordability for first-time buyers.  What lenders should prioritize now: Build Refinance Infrastructure: Prepare for increased volume with instant income verification tools like Experian Verify to streamline processes. Target First-Time Buyers: Use rental history, cashflow scores, and rent-to-income metrics to assess nontraditional credit applicants fairly. Get Granular with Geography: Align product offerings with local affordability, vacancy rates, and rent growth. Leverage Self-Service Prescreen Tools: Act on opportunities quickly using Experian’s agile targeting platforms. Model with New Credit Scores: Take advantage of the Experian Score Choice Bundle to test VantageScore 4.0 and FICO 2 side by side. Final Thought: The market is not rebounding—It is realigning  The current housing shift is not a return to old norms—it’s the start of a redefined landscape. Lenders who act decisively, invest in technology, and prioritize inclusivity will lead the next chapter in mortgage growth.  Experian is here to support you—with data, insights, and tools designed for this very moment.   

In our latest Experian fireside chat, Unlocking Alternative Data for Smarter Fintech Decisions, two powerhouse voices in the industry, Ashley Knight, SVP of Product Management at Experian, and Haiyan Huang, Chief Credit Officer at Prosper Marketplace, came together for an exclusive discussion on how alternative data is transforming risk, marketing and growth strategies across the fintech space. Now available to watch on demand, the conversation reveals the data-driven innovations that are empowering fintechs to reach new markets, improve decision-making, and build more inclusive financial experiences. What you'll learn During the session, Ashley and Haiyan explored how fintech leaders are utilizing alternative data to address real-world challenges with smarter, more scalable solutions. Topics include: Identity matching redefined: Discover how Individual Taxpayer Identification Numbers (ITINs), Clarity insights, and device intelligence empower fintechs to gain a competitive edge in verifying and validating identities for thin-file or underserved applicants. Precision credit marketing: Learn how email and phone intelligence help fintechs more accurately connect with qualified consumers, driving better engagement and higher conversion rates. Enhanced risk management with real-time data: Discover how Buy Now, Pay Later (BNPL) data and open banking insights are providing fintechs with a more comprehensive view of consumer financial behavior, beyond what traditional credit scores can reveal. To understand how fintech professionals are approaching alternative data, we asked attendees to weigh in throughout the webinar. Here's what we learned: What the audience had to say Which alternative asset is most important for the underwriting of the insurance? 50% chose open banking. 38% selected behavioral/device intelligence. 12% pointed to asset ownership. Takeaway: Open banking is leading the way, but fintechs are clearly embracing a multi-dimensional data approach. 2. Are you currently using ITINs or planning to in the future? 53% said yes. 47% said no. Takeaway: The adoption of ITINs is gaining momentum, supporting efforts to expand access to underrepresented segments. 3. What’s the most compelling reason to use open banking data? 70% said to better assess risk. 10% said to say yes to more consumers. 10% said to price more effectively.  10% said to improve marketing and personalization. Takeaway: Risk assessment remains the top use case, but marketers and pricing teams are starting to take notice. Why it matters Alternative data isn’t just a trend; it’s a response to the urgent need for smarter, more inclusive lending models. As fintechs continue to grow, the ability to reach new audiences, personalize offers, and manage risk with greater accuracy is no longer a competitive advantage; it’s a requirement. Whether you're already integrating cash flow, open banking, and behavioral insights, or just beginning to explore the possibilities, this webinar offers valuable frameworks and firsthand examples from industry leaders who are putting alternative data into action. Don’t miss this opportunity to catch up on the conversation that's helping define the future of fintech innovation. Watch on-demand webinar

The U.S. housing market is no longer waiting on the sidelines. After enduring over two years of historically high mortgage rates, the Federal Reserve began implementing rate cuts in fall 2025, with additional reductions forecast for early 2026. For lenders, this marks more than a turning point—it’s a call to action. Whether you’re targeting first-time buyers, tracking refinance-ready loans, or watching affordability trends, today’s environment demands rapid, strategic adjustments. Rate cuts are fueling renewed demand Mortgage rates, which hovered around 7% for much of the past year, have begun to ease. Even a modest drop has the potential to unlock substantial borrower interest—particularly among the 4.4 million U.S. mortgages now “ripe” for refinance. Expect a spike in both rate-and-term refinances and cash-out activity, as homeowners look to lower payments or access equity. Lenders must scale up quickly, especially around digital capacity, prescreen targeting, and streamlined closings. Affordability is still a roadblock—Especially for younger renters Despite improving borrowing conditions, affordability remains a systemic challenge. The national rent-to-income (RTI) ratio stands at 46.8%, up 7.7% since early 2023. In high-cost states like California and Massachusetts, it exceeds 56%. Experian data reveals that 62% of renters fall into the low-to-moderate income category, spending over half their income on rent. Over 50% now fall into Near Prime or Subprime credit tiers, making alternative credit data—like rental payment history—vital for inclusive underwriting. Refinance isn't the only opportunity—Target first-time buyers strategically Gen Z is now the largest segment of the rental population, and many are financially strained yet aspirational. A major opportunity exists in helping these renters transition to homeownership using expanded credit models and customized offerings. With Federal Housing Finance Agency (FHFA)-approved models like VantageScore 4.0 and FICO 10T on the horizon, lenders should explore how newer scoring frameworks and rent payment reporting can increase access to mortgage credit. Region-specific strategies are more important than ever From Miami to Minneapolis, market conditions vary drastically. Some metros, like Kansas City (+16.7%) and Louisville (+14.2%), are experiencing double-digit rent growth, while cities like Atlanta and Jacksonville are seeing declines. Lenders must tailor outreach based on local affordability trends, migration patterns, and housing supply constraints. Dynamic analytics tools—like Experian’s Ascend or Mortgage Insights Dashboard—can guide regional strategy at scale. The supply side may not keep pace Even with rate cuts stimulating demand, housing supply could remain a bottleneck. Multifamily completions are outpacing starts 1.5 to 1, and single-family construction, though recovering, remains cautious. In markets with tight supply, reduced borrowing costs may drive up prices faster than inventory can absorb, exacerbating affordability for first-time buyers. What lenders should prioritize now • Build Refinance Infrastructure: Prepare for increased volume with instant income verification tools like Experian Verify to streamline processes. • Target First-Time Buyers: Use rental history, cashflow scores, and rent-to-income metrics to assess nontraditional credit applicants fairly. • Get Granular with Geography: Align product offerings with local affordability, vacancy rates, and rent growth. • Leverage Self-Service Prescreen Tools: Act on opportunities quickly using Experian’s agile targeting platforms. • Model with New Credit Scores: Take advantage of the Experian Score Choice Bundle to test VantageScore 4.0 and FICO 2 side by side. Final Thought: The market is not rebounding—It is realigning The current housing shift is not a return to old norms—it’s the start of a redefined landscape. Lenders who act decisively, invest in technology, and prioritize inclusivity will lead the next chapter in mortgage growth. Experian is here to support you—with data, insights, and tools designed for this very moment.

Every credit decision relies on data, but traditional credit information may capture only part of a consumer’s financial story. Some of that story is reflected in credit reports, the loans repaid, the cards managed, and the steady progress toward financial goals. Others live quietly in bank statements and transaction histories, like the rent paid on time, the savings set aside, and the bills managed responsibly. Yet for millions of consumers, that second story has rarely been part of the credit conversation. Expanding the credit conversation can give lenders and financial institutions an edge, helping them separate genuine risk from missed opportunity. In a lending environment defined by volatility and evolving consumer habits, having a more complete picture of each applicant can help make the difference between sustainable growth and risk management. At the same time, open-banking frameworks and consumer-permissioned data have made it possible to understand financial health more clearly than traditional models. That’s where Experian’s Credit + Cashflow Score comes in. A unified view of credit and cash flow  The Credit + Cashflow Score is the first-of-its-kind model combining multiple data sources into a single score. Based on our pre-production analytics, early results demonstrate a 40% improvement in predictive accuracy compared with conventional credit models. It unites our proprietary and industry-leading credit data, alternative credit insights, 24 months of trended behavior, and consumer-permissioned cashflow information into a single score ranging from 300 to 850.* This goes beyond cashflow-augmented models that rely primarily on transaction data layered over credit files. The result is a data-rich assessment of creditworthiness that allows lenders to strengthen portfolio performance, maintain disciplined risk management, and help identify qualified borrowers that traditional credit models might overlook. Better risk control and stronger growth  Today’s lending landscape is being reshaped by rising interest rates, increased capital costs, and heightened regulatory oversight. These pressures are prompting institutions to tighten underwriting standards and reassess risk strategies as they navigate an uncertain economy. At the same time, competition for qualified borrowers continues to intensify, creating pressure to drive sustainable growth without compromising credit quality. Meanwhile, on the consumer side, people are earning income through gig work or multiple income streams and using alternative financial products. According to our recent market estimates, 62 million U.S. consumers are thin-file or credit-invisible1. This is making it harder for lenders to assess true financial capacity using credit data alone. Traditional credit scores continue to remain important, but they can potentially miss key indicators of stability and affordability that appear only in transactional data. The Credit + Cashflow Score bridges that gap, helping enable lenders to expand approvals responsibly while maintaining disciplined risk management. See what's next  As credit markets continue to evolve, lenders are looking for new ways to balance growth with risk. Having the whole financial picture may allow organizations to grow stronger portfolios, reach more qualified borrowers, and bring financial opportunity to more people. Partner with Experian to leverage decades of credit expertise, the nation’s largest alternative credit bureau, and industry-leading open-banking solutions to help lenders innovate responsibly. The Credit + Cashflow Score is built to deliver measurable performance lift, model transparency, and ease of integration through the Experian Ascend Platform. Learn more about the Experian Credit + Cashflow Score * New score available in pre-production for analytics 1https://www.experian.com/thought-leadership/business/the-roi-of-alternative-data 

Artificial intelligence (AI) is transforming industries worldwide, and financial services are no exception. One of the most impactful applications is AI credit scoring, a modern approach that uses advanced algorithms to assess consumer creditworthiness with precision, fairness and efficiency.AI credit scoring addresses traditional limitations by introducing more advanced, data-driven techniques. Instead of relying solely on static, historical data points, AI models can process vast amounts of diverse information in real time, spotting patterns and predicting behaviors more accurately.  How AI is being used in credit scoring  Traditional credit scoring has long relied on structured data such as payment history, credit utilization, and length of credit history. While effective, these models can be limited in capturing a holistic view of an individual’s financial behavior. AI credit scoring expands this view by: Leveraging alternative data: AI models can analyze non-traditional data sources such as rental payments, utility bills, and even digital transaction histories, providing a broader perspective for those with limited credit history. Real-time analysis: Machine learning enables lenders to evaluate applicants faster by instantly processing large amounts of data. Pattern recognition: AI systems identify subtle behavioral and financial patterns that may indicate creditworthiness beyond what traditional models can detect. Continuous learning: Unlike static scoring systems, AI-based models may improve over time as they ingest more data and refine their predictions. Using these methods, AI credit score systems create a richer, more nuanced picture of a borrower’s financial health, making lending more inclusive and predictive. The benefits of AI credit scoring The adoption of AI in credit scoring has created significant benefits for lenders, regulators, and consumers alike: Improved accuracy: AI models draw on a broader range of data, reducing reliance on limited or outdated metrics. Financial inclusion: Millions of consumers globally remain outside the traditional credit system. AI credit scoring allows lenders to evaluate previously overlooked applicants, such as young adults, recent immigrants, or gig economy workers. By factoring in alternative data, lenders can serve historically underserved individuals. Faster and more efficient processes: AI can automate large portions of the decision-making workflow, significantly reducing the time it takes to approve applications. This means faster access to credit for consumers and reduced operational costs for lenders. Fraud detection and risk mitigation: Advanced machine learning models can detect anomalies in borrower behavior that may indicate fraud or identity theft. By flagging these risks earlier, lenders protect both themselves and their customers. Enhanced customer experience: AI-driven insights help lenders design more personalized products and repayment plans. Institutions can better understand customer needs and financial behaviors by offering tailored solutions that improve loyalty and trust. Challenges of AI in credit scoring While the promise of AI is transformative, it also brings new challenges that financial institutions must navigate carefully. Bias and fairness: AI models may inadvertently replicate biases in training data, raising concerns about fairness and equity. Transparency: Complex algorithms can be challenging to explain to regulators, lenders, and consumers, creating a "black box" perception. Data privacy: Using alternative data for credit scoring requires strict compliance with privacy regulations and consumer consent. Regulatory alignment: As AI evolves, credit scoring must comply with evolving financial and consumer protection laws. Why partner with us At Experian®, we understand that trust, accuracy, and transparency are essential in the financial ecosystem. By combining decades of expertise in credit data with AI solutions, we deliver AI credit score solutions that empower lenders to make smarter, fairer, and faster decisions. With us as your trusted partner, you can embrace AI-powered credit solutions confidently and responsibly. Global data expertise: We leverage one of the world’s most comprehensive credit databases, ensuring high-quality insights. Responsible AI: Our solutions are built with fairness, transparency, and regulatory compliance at the forefront. Proven results: We partner with financial institutions worldwide to unlock opportunities for lenders and consumers through AI-driven insights. Commitment to inclusion: Our AI credit scoring tools are designed to expand financial access for underserved communities. The rise of AI credit scoring marks a new era in financial services, where accuracy, speed, and inclusivity converge to benefit lenders and consumers alike. While challenges remain, responsible use of AI ensures that credit scoring becomes more transparent, fair, and effective.  Learn more

Mid-sized banks are large enough to pursue ambitious growth strategies, like expanding loan portfolios or entering new markets, but not so large that they can withstand major credit losses without consequence. So how do lending organizations manage their credit risk strategies to grow without taking on more risk than they can handle?

Nearly 19 million U.S. households remain unbanked or credit-invisible,1 not due to a lack of financial responsibility but because traditional credit models alone may not include key financial behaviors. These individuals often save, earn and budget wisely, yet conventional scoring systems do not recognize them. We’ve recently partnered with Plaid, the trusted leader in open finance, to change that. Together, we’re putting cash flow underwriting front and center — giving lenders access to real-time, consumer-permissioned financial data that paints a fuller, more accurate picture of creditworthiness. Why cash flow data matters now  In the U.S., many consumers with limited credit histories want to build their profiles but don’t know how. Cash flow underwriting bridges this gap. Cash flow insights reveal real-world financial activity — like income patterns, spending habits and account balances — in real time. This empowers lenders to make smarter, faster and more inclusive credit decisions, while helping consumers gain access to the financial services they deserve. What cash flow insights deliver By incorporating cashflow data into your decisioning strategy, you can: See beyond the score with a richer view of a consumer’s financial health. Accelerate approvals with more accurate and timely insights. Expand access to credit while strengthening portfolio diversity and reducing risk. Download our infographic to see how cash flow underwriting is reshaping lending — and how you can lead the change. Download infographic 1Mullen, C. (2024, November 13). Underbanked US population grows to 14.2%, FDIC finds. Banking Dive. 

Credit decisioning has traditionally relied on static data like credit bureau scores, income statements, and past repayment history. As financial behavior becomes more dynamic and consumer expectations shift toward instant decisions, real-time data is emerging as a powerful tool in reshaping how lenders assess risk.

Experian and Plaid are teaming up to power smarter, faster, and more inclusive lending — fueled by real-time cash flow insights. The financial landscape is becoming more dynamic and digitally connected. Consumers are increasingly turning to digital platforms not only to pay bills and track spending, but to better understand their financial health, monitor their credit standing, and plan confidently for the future. This evolution presents a timely opportunity for innovation in underwriting — one that empowers consumers to take control of their financial futures and enables lenders to make faster, smarter, and more inclusive decisions. What happens when the leading global data and technology company joins forces with the largest open banking network in the world? Experian and Plaid are coming together to solve some of the most pressing challenges lenders face, bringing cash flow insights into credit decisions, seamlessly. Smarter lending: Elevating the credit decision process For lenders seeking a holistic view of borrowers to make faster, more informed decisions, this new collaboration is a game-changer. Experian and Plaid are combining real-time, unmatched cash flow data and analytics to help lenders improve decisioning, pinpoint risk precisely, and drive financial inclusion. This marks a pivotal shift in how credit is assessed, moving us toward faster, and fundamentally smarter lending decisions. This strategic collaboration delivers real-time cash flow insights in a comprehensive solution, built on core principles designed to directly enhance your lending capabilities: Speed and simplicity: Driving efficiency with seamless integration In today’s fast-paced financial landscape, efficiency in underwriting isn’t just an advantage; it’s a necessity. Our combined solution prioritizes speed and simplicity by offering easy integration through APIs. This ensures fast access to meaningful risk insights, streamlining your workflows. Imagine easily leveraging real-time cashflow risk insights directly into your existing processes for faster and smarter lending decisions. This is about delivering modern infrastructure that allows you to move at the speed of today's market, empowering your business to expand with confidence. Broader visibility: Unveiling a holistic consumer view Traditional credit scores are a reliable, crucial tool for measuring a borrower’s creditworthiness. When coupled with real-time cashflow data and risk insights, lenders are empowered with broader visibility, bringing to light a more holistic view of a borrower’s current financial reality and opportunities that may have been missed. You gain a comprehensive consumer financial picture, allowing for more precise identification of both strong financial capacity and potential risks, ultimately helping you target and acquire customers who align with your growth objectives. Smarter decisions: Enhancing models with combined intelligence The power to make truly informed decisions hinges on the quality and depth of your data. Without robust insights, risk models can be limited, impacting precision and speed. With Experian's advanced cash flow analytic capabilities and Plaid's streamlined access to real-time cash flow data via Consumer Report, you can enhance your risk assessment for smarter decisions. This synergy empowers financial institutions to expand credit access and uncover hidden risks, leading to more precise underwriting. It’s about leveraging advanced analytics in real-time to drive improved decision-making and build stronger portfolios. More inclusive lending: Expanding access, responsibly A significant challenge in lending is ensuring access for all creditworthy individuals, including those with limited traditional credit histories who may be overlooked. This represents an untapped market and a vital opportunity for responsible growth. Our solution champions more inclusive lending, enabling you to reach underserved communities and empower consumers who demonstrate strong financial capacity. This not only fosters stronger portfolios but critically helps your business grow by efficiently acquiring customers across a broader spectrum. Proven trust: Lending with confidence In the financial industry, the bedrock of any solution is trust – in the data, security, and partners. Lenders require unwavering confidence in the tools they adopt. This collaboration is built on proven trust, leveraging the reach, reliability, and security of two of the most trusted names in financial services. Experian’s expertise in credit data and consumer protection, combined with Plaid’s modern infrastructure and trusted open banking network, offers unparalleled assurance. You can securely integrate these powerful insights, knowing you are backed by industry leaders committed to best-in-class security and compliance, enabling your business to grow with confidence without compromise. Smarter lending starts now The evolution of underwriting demands a more dynamic, inclusive, and precise approach. With Experian and Plaid, you're not just adapting to change; you're leading it. Empower your organization to approve more borrowers, reduce risk more effectively, and make smarter, faster decisions for sustainable success. Ready to transform your lending strategy? Learn more about how to bring cash flow insights into your credit decisions seamlessly. Learn more

Managing credit limits effectively can be a game-changer for both consumers and financial institutions. Understanding the benefits and behaviors associated with increased credit limits helps in appreciating the long-term impacts of this strategy. Proactive credit limit management offers numerous advantages that can significantly improve financial health and stability.

Managing credit limits effectively is vital for maintaining a profitable and resilient credit card portfolio. By adopting a proactive credit limit management approach, financial institutions can significantly improve customer satisfaction and increase revenue. As of Q3 2024, the average credit card limit in the U.S. stood at $32,025, marking a 4.1% rise from $30,763 the previous year.1 Proper management of these limits is crucial for financial institutions, as it impacts consumer borrowing capacity and overall financial health. Advantages of proactive credit limit increases A proactive credit limit increase occurs when a credit card issuer raises a cardholder’s credit limit without their request. This action is usually dependent on improvements to cardholders’ creditworthiness, including consistent, on-time payments and a reduction in debt. Proactive increases can enable financial institutions to: Increase interchange income: When financial institutions increase credit limits, they can boost transaction volumes, leading to higher interchange income. Generate additional interest income: Higher credit limits can lead to increased borrowing, resulting in more interest income for financial institutions. Enhance wallet share: By proactively increasing credit limits, institutions can encourage cardholders to use their cards more frequently, thereby increasing wallet share. Reduce customer attrition: When cardholders feel valued and supported, they are more likely to remain loyal to their financial institution. Proactive credit limit increases can reduce attrition rates by enhancing customer satisfaction and loyalty. Improve customer experience: Cardholders value the convenience and flexibility of higher credit limits, which can lead to increased satisfaction, positive sentiment and potential referrals. Implementing proactive credit limit increases To successfully implement proactive credit limit increases, financial institutions must address two key questions: Who receives an increase? Use insights to identify cardholders who meet the criteria for credit limit increases. Continuously monitor cardholders’ creditworthiness using advanced tools and technologies to ensure that only responsible cardholders receive increases. How much of an increase? Determine customers’ ability to afford additional credit by evaluating their annual income, debt-to-income ratio, and payment-to-income ratio. Set thresholds for these metrics to guide the decision-making process. Proactive credit limit management Effective credit limit management is essential for financial institutions aiming to grow their credit card portfolios and enhance customer satisfaction. Read this e-book on proactive credit limit management and discover how your institution can improve wallet share, enhance customer experience, and drive revenue. Read the e-book 1 Experian, Average Credit Card Debt Increases 3.5% to $6,730 in 2024.

Lending institutions need to use the right business strategies to win more business while avoiding unnecessary risk, especially regarding lending policies. A recent study revealed that 48% of American loan applicants have been denied over the past year, with 14% facing multiple rejections. Additionally, 14% of rejected applicants felt pressured to seek alternative financing like cash advances or payday loans.1 These statistics highlight the need for financial institutions to offer attractive loan options to stay ahead in the industry. Understanding loan loss analysis Loan loss analysis is a powerful tool that helps lenders gain insights into why applicants book loans elsewhere. Despite efforts to target the right consumers at the right time with optimal offers, applicants sometimes choose to book their loans with different institutions. The lack of visibility into where these lost loans are booked can hinder a lender’s ability to improve their offerings and validate existing policies. By leveraging loan loss analysis, lenders can turn valuable data into actionable insights, creating more profitable business opportunities throughout the entire customer lifecycle. Gaining deep consumer insights Loan loss analysis provides visibility into various aspects of competitors’ loan characteristics, such as: Type of financial institution: Identifying whether applicants prefer banks, credit unions or finance companies can help lenders tailor their offerings. Average loan amount: Understanding how much other institutions offer allows lenders to adjust their loan amounts to be more competitive. Interest rates: Comparing interest rates with competitors helps lenders calibrate their rates to attract more business. Loan term length: Knowing the term lengths offered by competitors can inform decisions on loan terms to make them more appealing. Average risk score: Determining the risk scores of loans booked elsewhere helps lenders optimize their policies to maximize earning potential without increasing default risk. Making profitable decisions with business intelligence Experian's loan loss analysis solution, Ascend Intelligence Services™ Foresight, offers comprehensive insights to help lenders: Book more loans Increase profitability Enhance acquisition strategies Improve customer retention Optimize marketing spend By determining where applicants ultimately book their loans, lenders can unlock deep insights into competitors’ loan characteristics, leading to more intelligent business decisions. Read our latest e-book to discover how loan loss analysis can help you gain visibility into competitor offerings, improve your lending policies, book higher-performing loans, and minimize portfolio risk. Read the e-book Visit our website 1 Bankrate, February 2025. Survey: Almost half of loan applicants have been denied over the past 12 months.

Loan loss analysis helps financial institutions identify the characteristics and performance of loans that have been lost to competitors.

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.