Data & Analytics
Updated November 17th Related Posts Link to automotive form, business form
Our new report provides a snapshot of the current credit card landscape and strategy considerations to inform your business decisions.
Scott Brown, Group President at Experian, recently presented at Reuters Next on the power of AI innovation in financial services.
Consumers' financial behaviors are constantly changing. Event triggers enable lenders to quickly respond before their portfolio takes a hit.
How can lenders ensure they’re making the most accurate and fair lending decisions? The answer lies in consistent model validations.
Prescreen targeting solutions have evolved significantly, offering a competitive edge through more precise and impactful outreach strategies.
Reject inferencing techniques unlock a more comprehensive view of your applicant pool for more informed underwriting decisions.
Voter registration lists are the backbone of our democratic process. However, maintaining accurate and up-to-date lists is a challenge that election agencies constantly face. With several regulations related to voting and election integrity that have been enacted or proposed in the last two years, maintaining a quality voter list is more important now than ever before. Election officials now have a powerful tool at their disposal: commercially available data to enhance voter list maintenance and boost voter confidence. The importance of maintaining voter lists Audit teams within election agencies are tasked with ensuring election integrity through voter list maintenance. These teams need reliable tools to: Verify and correct voter registration data Identify and update contact information Provide a cost-effective method for record updates Reduce election costs for taxpayers Success stories in voter list management Case study: West Virginia Secretary of State The West Virginia Secretary of State (WVSOS) uses Experian’s TrueTrace™ solution to enhance voter roll maintenance. Traditionally a skip-tracing solution for debt collectors, TrueTrace leverages unique data sources to ensure voters receive correct information, reducing wasted resources and improving election efficiency. WVSOS was challenged with enhancing their existing processes to a more robust 50-state comparison for cross-state movers. After WVSOS’s first data pull using TrueTrace, nearly 16,000 individuals were identified with a potential new "best" address that were also not flagged by other data comparison programs used by the state. The results? Of the almost 16,000 mailings sent, about 25% returned were undeliverable, confirming those individuals had moved. Access the full case study to discover best practices for maintaining voter rolls and conducting cost-effective elections. Webinar: El Paso County Clerk & Recorder's Office The El Paso County Clerk & Recorder’s Office was looking to bring transparency, efficiency, and increased voter confidence to the elections in El Paso County, Texas. To achieve this, they required verified enriched data for registered voters. By partnering with Experian, voter data was enriched using our TrueTrace solution. This partnership has enabled the Office to verify and append the most up-to-date voter address, leading to significant improvements in list maintenance. To date, the El Paso County Clerk & Recorder’s Office has seen a reduction of more than $39,860 in undeliverable ballot costs. Their ROI to date is a positive $4,537 back to the citizens of El Paso County. Listen to our on-demand webinar to hear more about this collaboration. Visit us online to learn more about our public sector solutions. Learn more
Check out August's report for a deep dive into the latest market trends, including those around originations and the new housing market.
To authenticate identities and combat fraud within the Gen Z population, financial organizations need to implement comprehensive strategies.
In this article...Recent trends in credit card debtThe rising tide of delinquenciesWhat is credit limit optimization?Benefits of credit limit optimizationEconomic indicators and CLO ImpactEnhanced profitability and risk mitigation This post was originally published on our Global Insights Blog. As credit card issuers grow, the size of their customer base expands, bringing both opportunities and challenges. One of the most critical challenges is managing growth while controlling default rates. Credit limit optimization (CLO) has emerged as a vital tool for banks and credit lenders to achieve this balance. By leveraging machine learning models and mathematical optimization, CLO enables lenders to tailor credit limits to individual customers, enhancing profitability while mitigating risk. Recent trends in credit card debt To understand the significance of CLO, it is essential to consider the current economic landscape. The first quarter of 2024 saw total household debt in the U.S. rise by $184 billion, reaching $17.69 trillion. While credit card balances declined slightly (a reflection of seasonal factors and consumer spending patterns), they remain a substantial component of household liabilities, with total credit card debt standing at approximately $1.26 trillion in early 2024. On average, American households hold around $10,479 in credit card debt, which is down from previous years but still significant. The average APR for credit cards in the first quarter of 2024 was 21.59%.* The rising tide of delinquencies In the first quarter of 2024, about 8.9% (annualized) of credit card balances transitioned into delinquency. This trend underscores the need for credit card issuers to adopt more sophisticated methods to assess credit risk and adjust credit limits accordingly. The rising rate of credit card delinquencies is a key driver behind the adoption of CLO strategies. What is credit limit optimization? Credit limit optimization uses advanced analytics to assess individual customers’ creditworthiness. By analyzing various data points, including payment history, income levels, spending patterns, and economic indicators, these tools can recommend optimal credit limits that maximize customer spending potential while minimizing the risk of default, all within the constraints set by the business in terms of its appetite for risk and capacity. For instance, a customer with a strong payment history and stable income might receive a higher credit limit, encouraging more spending and enhancing the lender’s revenue through interest and interchange fees. Conversely, customers showing signs of financial stress might see their credit limit reduced to prevent them from accumulating unmanageable debt. Benefits of credit limit optimization Improved profitability – By setting credit limits reflecting customers’ credit risk and spending potential, lenders can increase their revenue through higher interest and fee income. Reduced default rates – Lenders can significantly reduce the incidence of bad debt by identifying customers at risk of default and adjusting their credit limits accordingly. Improved customer satisfaction – Personalized credit limits can improve customer satisfaction, as customers are more likely to receive credit that matches their needs and financial situation. Regulatory compliance – CLO can help lenders comply with regulatory requirements by ensuring that credit limits are set based on objective, data-driven criteria. Economic indicators and CLO Impact Several economic indicators provide context for the importance of CLO in the current market. For instance, the Federal Reserve reported that in 2023, fewer than half of adult credit cardholders carried a balance on their cards, down from previous years. This indicates a more cautious approach to credit use among consumers, likely influenced by economic uncertainty and rising interest rates. Moreover, the disparity in credit card debt across different states highlights the varying economic conditions and the need for tailored credit strategies. States like New Jersey have some of the highest average credit card debts, while states like Mississippi have the lowest. This regional variation underscores lenders’ need to adopt flexible, data-driven approaches to credit limit setting. Enhanced profitability and risk mitigation Credit limit optimization is critical for credit card issuers aiming to balance growth and risk management. As economic conditions evolve and consumer behaviors shift, the ability to set personalized credit limits will become increasingly important. By leveraging advanced analytics and machine learning, CLO enhances profitability and contributes to a more stable and resilient financial system. One such solution is Experian’s Ascend Intelligence Services™ Limit, which provides an optimized strategy designed to enhance the precision and effectiveness of credit limit assignments. Ascend Intelligence Services™ Limit combines best-in-class bureau data with machine learning to simulate the impact of different credit limits in real time. This capability allows lenders to quickly test and refine their credit limit strategies without the lengthy trial-and-error period traditionally required. Ascend Intelligence Services Limit enables lenders to set credit limits that align with their business objectives and risk tolerance. By providing insights into the likelihood of default and potential revenue for each credit limit scenario, Ascend Intelligence Services Limit helps design optimal limit strategies. This not only maximizes revenue but also minimizes the risk of defaults by ensuring credit limits are appropriate for each customer’s financial situation. In a landscape marked by rising delinquencies and varying regional debt levels, the strategic use of CLO like Ascend Intelligence Services Limit represents a forward-thinking approach to credit management, benefiting both lenders and consumers. Learn More * HOUSEHOLD DEBT AND CREDIT REPORT (Q1 2024) – Federal Reserve Bank of New York
With the advent of AI and ML, optimizing credit prescreen campaigns has never been easier or more efficient.
Check out July's report for a deep dive into the latest market trends, including those around job openings and bankcard delinquency rates.
Open Banking use cases are extensive and will continue to expand as access to permissioned data becomes more common. Learn more.
Explore the essentials of identity authentication, its importance for financial institutions, and what effective solutions look like.