Data & Analytics

The Marketing Rule of Seven means it usually takes at least seven impressions before a consumer is compelled to act. When extending firm offers of credit to consumers, lenders have long relied on direct mail and more recently email to reach their intended audiences. But what if there are more ways to deliver a credit offer? Let’s explore how digital display retargeting can help you maximize your campaign performance and profitability. What is digital display retargeting? Digital display retargeting allows lenders to present a firm offer of credit on digital and mobile to complement a direct mail or email prescreen campaign. This solution takes credit marketing to a whole new level — instead of relying solely on direct mail or email, lenders can amplify firm offers of credit on channels like social media or authenticated websites to maximize their reach. With spending more time on these channels, digital display retargeting can provide them  with an additional opportunity to respond. Reaching the right consumers with the right offer While echoing the same credit offer on multiple channels can help elicit higher response rates, how do lenders decide to which consumer to extend that offer to? Experian’s credit database provides lenders with fresh consumer information to help them determine what kind of credit offers may be most appealing to each unique individual. Through Amplified Prospecting, lenders can then gain accurate consumer identification and matching in digital display channels to ensure offers are reaching consumers most likely to respond. Maximize your campaign reach With the combined strengths of Experian’s consumer credit data and Amplified Prospecting, lenders can extend firm offers of credit to prescreened consumers across multiple touchpoints, helping them to achieve greater visibility and higher response rates. To learn more about how Experian can help you level up your credit marketing campaigns, visit us today. Learn more

It's one thing to make a corporate commitment to financial inclusion, but quite another to set specific goals and measure outcomes. What goals should lenders set to make financial inclusion a reality? How can success be quantified? What actionable steps must be taken to put policy into practice? The road to financial inclusion may feel long, but this step-by-step checklist can help you measure diversity and achieve goals to become more inclusive as an organization. Step 1: Set quantifiable goals with realistic outcomes Start by defining what you plan to achieve with a financial inclusion strategy. When setting goals, Alpa Lally, Experian's Vice President of Data Business at Consumer Information Services, recommends organizations "assess the strategic opportunity at the enterprise level." "It is important that KPIs are aligned across each business unit and functional groups in order to understand the investment opportunity and what the business must achieve together," said Lally. "The key focus here is 'together', the path to financial inclusion is a journey for all groups and everyone must participate, be committed and be aligned to be successful." Figuring out your short- and long-term goals should be the first step to kickstarting a financial inclusion strategy. But equally important is driving towards outcomes. For instance, if the goal is to increase the number of loans made to previously overlooked or excluded consumers, you may want to start by examining your declination population to better understand who is being left out. Or if financial inclusion is tied to a wider strategy or vision on corporate social responsibility, your goals may include an education component, community outreach, and a re-examination of your hiring practices. No matter what KPIs you're using, here are relevant questions to ask in four key areas – which will help draw out your organizational goals and priorities: Organizational awareness: What action is your organization taking to enhance Diversity, Equity and Inclusion and embrace Corporate Social Responsibility (CSR) around financial inclusion? If you already have financial inclusion programs in place, what are the primary goals? Barriers: What barriers prevent the organization from pursuing equity, diversity and inclusion programs? Education: How do you create awareness and education around financial inclusion? Which community or third-party organizations can help you reach consumers who aren't aware of ways to access financial services? Markers of success: What benchmarks will your organization use to measure and analyze success? Step 2: Do a financial inclusion audit Before developing and implementing a robust financial inclusion program, Lally recommends conducting a financial inclusion audit – which is a "detailed assessment of where you are today, relative to the goals and results you've outlined". In a nutshell, it allows you to assess your current systems and results within your financial institution. According to Lally, a financial inclusion audit should address the following key areas: Roadmap: What are your strategic priorities and how will financial inclusion fit within them? Tracking: Track the actual volume and distribution of different underserved populations (e.g., young adults, low-income communities, immigrants, etc.) within your book of business. Look at the applications and the approval rates by segment. In addition, assess the interest rates these consumers are offered by credit score bands for each group: “Benchmarking is critical. Understanding how they compare to national averages? How do they compare to the rest of your portfolio?" said Lally. Hiring practices: Is diversity, equity and inclusion (DEI) central to your talent management strategy? Is there a link between a lack of DEI in hiring practices and the level of financial inclusion within an organization? Affordability and access: Determine if the products and services you offer are easily accessible, can be understood by a reasonable consumer and are affordable to a broad base. Internal practices: What policies exist that influence the culture and behavior of employees around financial inclusion? Partnerships: Identify outside organizations that can help you develop financial literacy programs to promote financial inclusion. Advertising: Does your advertising promote equal and diverse representation across a wide range of consumer groups? Tools to measure: Are you financially inclusive as a company? How can you improve? The Bayesian Improved Surname Geocoding (BISG) method used by the Consumer Financial Protection Bureau (CFPB) predicts the probability of an individual's race and ethnicity based on demographic information associated with the consumer's surname. Lenders can use this type of information to conduct internal audits or set benchmarks to help ensure accountability in their diversity goals. Step 3: Tap into technology New technology is emerging that gives lenders powerful tools to evaluate a wider pool of prospective borrowers while also mitigating risk. For instance, scoring models that incorporate expanded FCRA-regulated data provide greater insight into 'credit invisible' or 'unscorable' consumers because they look at a wider set of data assets (or 'alternative data'), which allows lenders to assess a larger pool of applicants. It also improves the accuracy of those scores and better assesses the creditworthiness of consumers. Consider these resources, among others: Lift Premium™: Experian estimates that lenders using Lift Premium™ can score 96 percent of U.S. adults, a vast improvement over the 81 percent that are scorable today with conventional scores relying on mainstream data. Such enhanced scores would enable six million consumers who are considered subprime today to qualify for “mainstream" (prime or near-prime) credit. Experian® RentBureau®: RentBureau collects rent payment data from landlords and management companies, which allows consumers to leverage positive rent payment history similarly to how consumers leverage consistent mortgage payments. Clarity Credit Data: Clarity Credit Data allows lenders to see how consumers use alternative financial products and examine payment behaviors that might exist outside of the traditional credit report. Clarity's expanded FCRA -regulated data provides a deeper view of the consumer, allowing lenders to identify those who may not have previously been classified as "at risk" and approve consumers that may have previously been denied using a traditional credit score. Income Verification: Consumers can grant access to their bank accounts so lenders can assess their ability to pay based on verified income and cash flow. In addition, artificial intelligence (AI) and greater automation can reduce operational costs for lenders, while increasing the affordability of financial products and services for customers. AI and machine learning (ML) can also improve risk profiling and credit decisioning by filling in some of the gaps where credit history is not available. These are just a few examples of a wide range of cutting-edge solutions and technologies that enable lenders to promote greater financial inclusion through their decisioning processes. As new solutions are introduced to the market, it is imperative that lenders look into these technologies to help grow their business. Step 4: Monitor and measure Measuring your progress on financial inclusion isn't a one-and-done proposition. After you've set your goals and created a roadmap, it's important to continue monitoring and measuring your progress. That means your performance to gauge the impact of financial inclusion at both the community and business levels. Lally recommends the following examples: Compare your lending pool to the latest population data from the United States census. Is your portfolio representative of the U.S. population or are there segments that should have greater access? How does it compare against other lenders competing in the same space? Keep in mind that it has been widely reported that certain populations were undercounted, so you may want to factor this reality into your assessments. Work to understand how traditionally underserved consumers are performing in terms of their payment behaviors, purchase patterns and delinquencies. Measure the impact of financial inclusion on your company's overall revenue growth, ROI and brand reputation. Conduct an analysis to better understand your company's brand reputation, how it's perceived across different groups and what your customers are saying. Last word Financial inclusion represents a big step towards closing the wealth gap and helping marginalized communities build generational wealth. Given the prevalence of socioeconomic and racial inequality in our country today, it's a complex issue that disproportionately impacts marginalized groups, such as consumers of color, low-income communities and immigrants. Adopting more financially inclusive practices can help improve access to credit for these groups. For financial institutions and lenders, the first step is to identify realistic, quantifiable goals. A successful financial inclusion initiative also hinges on completing a financial inclusion audit, tapping into the right technology and continually monitoring and measuring progress. "It is paramount that financial institutions hold themselves accountable and demonstrate their commitment to make these practices a part of their DNA." - Alpa Lally. Learn more

“I saw an opportunity to create change instead of asking for it.” Day 2 was charged up with new technology; new ideas; and new, clearer visions of where we can drive change across our industries. Jeff Softley, President, Direct to Consumer, Experian Consumer Services, illustrated how the consumer is at the center of Experian’s business with countless statistics and how our consumer advocacy drives our focus, growth and mission. Wil Lewis, Global Chief of Diversity, Equity and Inclusion; Hiq Lee, President of Business Information Services; and Alex Lintner, Group President, Consumer Information Services, engaged in a panel discussion centered on reimagining inclusion.         Keynote: Allyson Felix Allyson Felix, five-time Olympian and most decorated Track & Field athlete, kicked off the day with an inspiring keynote touching on her athletic career, taking challenges head-on and using our platforms to make an impact. Felix, who is racing in the first race of her final season this weekend, is a tireless advocate, life-long learner, who seeks to empower others. “We can all start where we are,” she said. “Small things turn into big things.”       Day 2 session highlights From the breakout sessions, the theme of disruption was evident. We dove into how prescreen and prequalification have evolved, a demand that many must adapt to deliver in the post-pandemic world. Financial inclusion was a topic covered across the board, as were the strategies to be enacted to bolster these financial inclusion drivers. One such area addressed was how the rapidly growing buy now, pay later industry advances financial access and inclusion efforts. And speaking of evolution, retention must evolve as well — we heard how retention, recapture and risk strategies are transforming, particularly in the mortgage servicing space. Rapid Model Development and Deployment - Feedback from businesses reflects organizations’ desires for flexible deployment options, flexible integration with existing tech stacks, open source technology and the ability to incorporate multiple data providers. Today’s solutions address that feedback as well as solve for the most rampant market challenges in new, innovative ways.   Strategy optimization with Artificial Intelligence and Machine Learning - Over 50% of financial institutions surveyed are using AI/ML in at least one department. Challenges include data management, operation, evolving the analytics program. ML/AI starts with proper data management. For optimization, templatizing ML frameworks is a necessity.   ID Verification, Authentication and Fraud - There were $56B in identity fraud losses in 2020, $13B of which were traditional identity fraud losses and $43B related to identity fraud scams. Leveraging strategies is necessary to maintain the critical balance required for identity verification and fraud – mitigating losses and risk exposure, drive optimal customer experience, maintain regulatory compliance.   Maximizing Customer Value - The monthly data refresh is a thing of the past. When reimagining account review for risk and marketing purposes, remaining agile is key with increased data freshness for operational efficiency. Keynote: Ashton Kutcher The energy, insights and ideas have been reverberating throughout the venue for the past 48 hours, which set the stage for Ashton Kutcher’s closing keynote. The Chicago Bears fan talked about his career, how hard work wasn’t an option when he was growing up and how part of his assessment process for potential investments – determining whether they create efficiencies in the market – he sometimes thinks of a long-standing, personal benchmark – the air nailer. He talked about his philanthropy efforts, the mission behind his company Thorn, and the ability for people to impact change and achieve "a sense of agency" over the outcome of the future. “That’s the human spirit. That’s the spark that exists – that people understand that you can sit in despair, or you can do something,” he said. It has been an amazing two days – we can’t wait for Vision 2023!

“Disruption has caused enormous amounts of innovation,” said Jennifer Schulz, CEO of Experian, North America. “We must continue to be the disruptors in our industry which takes effort, data, technology, bright minds and vision for what the future will be.” Schulz kicked off the 39th Vision conference with a future-focused keynote delivered to a crowd of more than 400 attendees. Alex Lintner, Group President, Experian Consumer Information Services, talked about the next phase of great, highlighting the digital transformation that has taken place in the generations of the past and the disruption and innovation happening today and in the future. Keynote speaker: Dr. Mohamed A. El-Erian Dr. Mohamed A. El-Erian, renowned economist and author, President of Queens’ College, Cambridge, Chief Economic Advisor at Allianz, Chair of President Obama’s Global Development Council and Former CEO and Co-Chief Investment Officer of PIMCO, spoke about the Fed, inflation, negative interest rates and the labor market, as well as the importance of inclusion. El-Erian, who said he reads the Financial Times religiously, acknowledged that we will make mistakes on the journey as we work to be even more inclusive. To navigate what’s ahead, he said we will need resilience, optionality and agility. “It’s important to connect with information, acknowledge the insecurity, in a language people understand, in order to connect,” he said.     Session highlights – day 1 The conference hall was buzzing with conversations, discussions and thought leadership. Buy Now Pay Later A large audience was in attendance for a session that introduced Experian’s Buy Now Pay Later Bureau™ and explored how it’s the first and only solution of its kind — serving consumers, BNPL providers, financial institutions and regulators. Identity Identity is constantly evolving, and while biometrics and authentication may have become ubiquitous, there is much activity around the concepts of eIDs, identity wallets and identity networks. Experian is making identities personal and helping businesses to recognize, manage and connect customer identities in new ways using data, analytics and technology. Marketing In today’s hypercompetitive world, businesses need to engage the freshest data and increase velocity when it comes to time to market. An average of 120 days won’t cut it. Ascend Marketing speeds time to market and helps achieve higher ROI. Regulatory Landscape With so much happening at Capitol Hill, a panel of experts from DC discussed a number of topics and proposals (and their impacts), including the defense for risk-based pricing, the impact of suppressing negative data, and trending topics like Buy Now Pay Later and data portability. All the while, the tech showcase had a constant flow of attendees with demos ranging from data and decisioning to financial inclusion and technology. This is just the beginning. And as Schulz said, “There’s more to do.” More insights from Vision to come. Follow @ExperianVision to see more of the action.

Rewards are among the most appealing features of any credit card. While upfront benefits, like sign-up bonuses and cashback, are most influential in card acquisition, ancillary benefits, like fraud and identity protection, can amplify a card’s overall value.1 Credit card fraud ranked as the second most common form of identity theft in 2021,2 and is expected to become even more frequent as consumers continue to bank and shop online.3 42% of consumers are concerned for the safety of their banking and shopping transactions. With digital identity theft and fraud on the rise, it’s no surprise that safety measures are “very” or “extremely” important to consumers when deciding between different credit cards.4 In response, many card issuers have started to market their security and protection-related benefits more frequently to better capitalize on their cards’ value to consumers. The ways they’ve highlighted these benefits include: A fraud protection campaign From spotlighting their fraud protection benefits in card welcome kits to providing privacy tips on social media, credit card issuers have crafted compelling campaigns to demonstrate their commitment to protecting their customers from fraud and identity theft. In turn, issuers can differentiate their cards from the competition and improve response rates. Reminders about their fraud prevention efforts Issuers have also sent out ongoing reminders outlining the protections their credit cards offer, such as credit monitoring services 5 that notify cardholders of suspicious activity on their credit report. By consistently promoting their efforts to keep their customers’ accounts and data safe, issuers can earn their cardholders’ trust, build loyalty and drive card usage. While benefits like cashback and travel points can help with card acquisition, fraud and identity protection benefits can help drive long-term customer relationships, especially now that card fraud is becoming a growing concern.6 To learn more about how businesses have worked to meet the consumer demand for secure interactions, check out our 2021 Global Identity and Fraud Report. Learn more 1Jonathan O'Connor. "Most Consumers Aren't Aware of Their Credit Cards' Ancillary Benefits. How Does This Impact Card Acquisition and Usage?" TSYS, January 2019 2FTC. "Consumer Sentinel Network" Data Book, 2021 3April Berthene. "Coronavirus pandemic adds $219 billion to US ecommerce sales in 2020-2021" Digital Commerce 360, March 2022 4"Consumers Consider as Many as Six Factors When Choosing Credit Card" PYMTS.com, December 2021 5David McMillin. "Identity theft is a major problem, but these 5 credit card protection programs can help keep you safe" Business Insider, June 2021 6"New FICO Survey Finds Overconfidence Could Put US Consumers at Risk From Scams" Business Wire, February 2022

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Experian’s in-person Vision conference returns next Monday, April 11 in Los Angeles, Calif. The event is known for premier thought leadership, net-new insights and the latest and greatest in technology, innovation and data science. This year’s agenda promises to have intentional discussions around tomorrow’s trending topics including financial inclusion, buy now pay later, open banking, the future of fraud, alternative data strategies, and much more. A few spotlight sessions include: Top trends including the future application of the cloud and emerging technologies, emerging regulatory legislation and the broader implications and opportunities of DeFi. A deep dive into strategies around the targeting/marketing revolution and how to deliver in the post-COVID-19 market environments and bolster financial inclusion decisions. An introduction to Experian’s Buy Now Pay Later BureauTM, the industry’s first and only solution designed to address the needs of consumers, BNPL providers, financial institutions and regulators alike. A roundup of sessions addressing innovation in action spanning from real-time verifications, to data-driven automation, and unified platforms from data to deployment to decisioning. Several sessions highlighting future-looking strategies and solutions that leverage alternative data that can increase conversion rates while concurrently reducing risk. Multiple sessions centered on the rapidly changing identity environment and combatting emerging fraud threats. The event will also include a Tech Showcase, where attendees can get a taste of tomorrow today with more than 20 demos and the latest innovations at their fingertips. And, as always, the event features marquee keynote speakers sure to inspire. This year’s featured speakers are Dr. Mohamed A. El-Erian, President of Queens’ College, Cambridge, Chief Economic Advisor at Allianz, and Former CEO and Co-Chief Investment Officer of PIMCO; Allyson Felix, Olympic Gold Medalist, co-founder of Saysh, a footwear and lifestyle brand for women, and Right to Play and Play Works ambassador; and the closing keynote will feature actor, investor, entrepreneur and philanthropist, Ashton Kutcher. Stay tuned for additional highlights and insights on our social media platforms throughout the course of the conference. Follow Experian Insights on Twitter and LinkedIn.  

For decades, the credit scoring system has relied on traditional data that only examines existing credit captured on a credit report – such as credit utilization ratio or payment history – to calculate credit scores. But there's a problem with that approach: it leaves out a lot of consumer activity. Indeed, research shows that an estimated 28 million U.S. adults are “credit invisible," while another 21 million are “unscorable."1 But times are changing. While conventional credit scoring systems cannot generate a score for 19 percent of American adults,1 many lenders are proactively turning to expanded FCRA-regulated data – or "alternative data" – for solutions. Types of expanded FCRA-regulated data By tapping into technology, lenders can access expanded FCRA-regulated data, which offers a powerful and complete view of consumers' financial situations. Expanded public record data This can include professional and occupational licenses, property deeds and address history – a step beyond the limited public records information found in standard credit reports. Such expanded public record data is available through consumer reporting agencies and does not require the customer's permission to use it since it's a public record.1 “Experian has partnerships with these agencies and can access public records that provide insight into factors like income and housing stability, which have a direct correlation with how they'll perform," said Greg Wright, Chief Product Officer for Experian Consumer Information Services. “For example, lenders can see if a consumer's professional license is in good standing, which is a strong correlation to income stability and the ability to pay back a loan." Rental payment data Experian RentBureau draws updated rental payment history data every 24 hours from property managers, electronic rent payment services and collection companies. It can also track the frequency of address changes. “Such information can be a good indicator of risk," said Wright. “It allows lenders to make informed judgments about the financial health and positive payment history of consumers." Consumer-permissioned data With permission from consumers, lenders can look at different types of financial transactions to assess creditworthiness. Experian Boost™, for example, enables consumers to factor positive payment history, such as utilities, cell phone or even streaming services, into an Experian credit file. “Using the Experian Boost is free, and for most users, it instantly improves their credit scores," said Wright. “Overall, those 'boosted' credit scores allow for fairer decisioning and better terms from lenders – which gives customers a second chance or opportunity to receive better terms." Financial Management Insights Financial Management Insights considers data that is not captured by the traditional credit report such as cash flow and account transactions. For instance, this could include demand deposit account (DDA) data, like recurring payroll deposits, or prepaid account transactions. “Examining bank account transaction data, prepaid accounts, and cash flow data can be a good indicator of ability to pay as it helps verify income, which gives lenders insights into consumers' cash flow and ability to pay," Wright added. Clarity Credit Data With Experian's Clarity Credit Data, lenders can see how consumers use expanded FCRA-regulated data along with their related payment behavior. It provides visibility into critical non-traditional loan information, including more insights into thin-file and no-file segments allowing for a more comprehensive view of a consumer's credit history. Lift Premium™ By using multiple sources of expanded FCRA-regulated data to feed composite scores, along with artificial intelligence and machine learning, Lift Premium™ can vastly increase the number of consumers who can be scored. For example, research shows that Lift Premium™ can score 96 percent of American adults ­– a significant increase from the 81 percent that are scorable with conventional scores relying on only traditional credit data. Additionally, such enhanced composite scores could enable 6 million of today's subprime population to qualify for “mainstream" (prime or near-prime) credit.1 How is expanded FCRA-regulated data changing the credit scoring system? The current credit scoring system is rapidly evolving, and modern technology is making it easier for lenders to access expanded FCRA-regulated data. Indeed, this data disruption is changing lender business in a positive way. “When lenders use expanded credit data assets, they see that many unscorable and credit invisible consumers are in fact creditworthy," said Wright. “Layering in expanded FCRA-regulated data gives a clearer picture of consumers' financial situation." By expanding data assets, tapping into artificial intelligence and machine learning, lenders can now score many more consumers quickly and accurately. Moreover, forward-thinking lenders see these expanded data assets as offering a competitive edge: it's estimated that modern credit scoring methods could allow lenders to grow their pool of new customers by almost 20 percent.1 Case study: Consumer-permissioned data To date, over 9 million people have used Experian Boost. The technology uses positive payment history as a way to recognize customers who exhibit strong credit behaviors outside of traditional credit products. “Boosted" consumers were able to add on average 14 points to their FICO scores in 2022 so far, making many eligible for additional financial products with better terms or better product offerings. Active Boost consumers, post new origination performed on par or better than the average U.S. originator, consistently over time. “In other words, having this additional lens into a consumer's financial health means lenders can expand their customer base without taking on additional credit risk," explains Wright. The bottom line The world of credit data is undergoing a revolution, and forward-thinking lenders can build a sound business strategy by extending credit to consumers previously excluded from it. This not only creates a more equitable system, but also expands the customer base for proactive lenders who see its potential in growing business. Learn more 1Oliver Wyman white paper, “Financial Inclusion and Access to Credit,” January 12, 2022.

At Experian, we know that financial institutions, fintechs and lenders across the entire spectrum – small, medium and large, are further exploring and adopting AI-powered solutions to unlock growth and improve operational efficiencies. With increasing competition and a dynamic economy, AI-driven strategies across the entire customer lifecycle are no longer a nice to have, they are a must. Our dedication to delivering on this need for our clients is why we are thrilled to be recognized as a Fintech Breakthrough Award winner for the fifth consecutive year. Experian’s Ascend Intelligence ServicesTM (AIS) platform hosts a suite of analytics solutions and has been named “Best Consumer Lending Product” in the sixth annual FinTech Breakthrough Awards. This awards program is conducted by FinTech Breakthrough, an independent market intelligence organization that recognizes the top companies, technologies and products in the global fintech market today. This is the second consecutive year that AIS has been recognized with a FinTech Breakthrough Award, previously being selected for the “Consumer Lending Innovation Award” in 2021. “Winning another award from FinTech Breakthrough is a fantastic validation of the success and momentum of our Ascend Intelligence Services suite. Now more than ever, the world is in a state of constant change and companies are being reactive, with data scientists spending too much time on manual, repetitive data-wrangling tasks, at a time when they cannot afford to do so,” said Shri Santhanam, Experian’s executive vice president and general manager of Global Analytics and AI. “Companies need to be able to rapidly develop and deploy ML-powered models in an agile way at low cost. We are now able to offer this to more lenders no matter their size.” With AIS, Experian can empower financial services firms to make the best decisions across the customer life cycle with rapid model and strategy build, seamless deployment, optimization and continuous monitoring. The AIS suite is comprised of two key solution models: Ascend Intelligence Services Acquire is a managed services offering that enables financial institutions to increase approval rates and control bad debt by acquiring the right customers and providing the best offers. This is accomplished through a rapid AI/ML model build that will help better quantify the risk of an individual applicant. Next, a mathematically optimized decision strategy is designed to provide a more granular view of the applicant and help make the best decision possible based on the institution’s specific business goals and constraints. The combination of the AI/ML model and optimized decision strategy provides increased predictive power that mitigates risk and allows more automated decisions to be made. The model and strategy are seamlessly deployed to help deliver business value quickly. Ascend Intelligence Services™ Limit enables financial institutions to make the right credit limit decisions at account origination and during account management. Limit uses Experian’s data, predictive risk and balance models and our powerful optimization engine to design the right credit limit strategy that maximizes product usage, while keeping losses low. To learn more about how Ascend Intelligence Services can support your business, please explore our solutions page. Learn more For a list of all award winners selected for the 2022 FinTech Breakthrough Awards, click here.

  In today’s evolving and competitive market, the stakes are high to deliver both quantity and quality. That is, to deliver growth goals while increasing customer satisfaction. OneAZ Credit Union is the second largest credit union in Arizona, serving over 157,000 members across 21 branches. Wanting to fund more loans faster and offer a better member experience through their existing loan origination system (LOS), OneAZ looked to improve their decisioning system and long-standing underwriting criteria. They partnered with Experian to create an automated underwriting strategy to meet their aggressive approval rate and loss rate goals. By implementing an integrated decisioning system, OneAZ had flexible access to data credit attributes and scores, resulting in increased automation through their existing LOS – meaning they didn’t have to completely overhaul their decisioning systems. Additionally, they leveraged software that enabled champion/challenger strategies and the flexibility to manage their decision criteria. Within one month of implementation, OneAZ saw a 26% increase in loan funding rates and a 25% decrease in manual reviews. They can now pivot quickly to respond to continuously evolving conditions. “The speed at which we can return a decision and our better understanding of future performance has really propelled us in being able to better serve our members,” said John Schooner, VP Credit Risk Management at OneAZ. Read our case study for more insight on how automation and PowerCurve Originations Essentials can move the needle for your organization, including: Streamlined strategy development and execution to minimize costly customizations and coding Comprehensive data assets across multiple sources to ensure ID verification and a holistic view of your prospect Proactive monitoring and real-time visibility to challenge and rapidly adjust strategies as needed Download the full case study

We recently collaborated with our integration partner, TrueCar, to analyze vehicle history data's impact on online listings. We analyzed millions of records over months of data and matched online listings to DMS sales to confirm closing rates. The short story – dealership Vehicle Detail Pages (VDPs) on TrueCar.com that offer consumers a Free Experian AutoCheck vehicle history report had a higher lead conversion rate. We expected the data to confirm that VDPs with a Free VHR would have a higher lead conversion rate. However, we uncovered additional insights that even surprised us! The most common search filter Consumers value transparency from a dealership and expect to be informed if a vehicle they are looking at has been in an accident. We learned from the study that when consumers used vehicle history data to filter their user's search results, the “accident” filter was the most common vehicle history data filter used. More than one-third of consumers using vehicle history data to filter search results use “accident” as a filter criterion. Why is this important? There are over 280 million vehicles in operation, and four out of ten of those vehicles have been in an accident. That means more than 100 million vehicles on the road have been in an accident—and 20% of vehicles on the road have had multiple events. Higher conversion rates (with a twist) Having been in the automotive data and analytics space for years, we were not surprised that the analysis continued to support our previous research that vehicle detail pages with a free vehicle history report have a higher lead conversation rate! Things started to get even more interesting, though: VDPs with a free AutoCheck VHR converted at a 27% higher rate. That holds true if the VDP page had a Free AutoCheck report available to the consumer, but if the consumer clicked on the free AutoCheck vehicle history report to view the details of the information, the lead conversion rate jumped to 318% (no, that’s not a typo). The lead conversion rate increased to 318% if the consumer viewed the AutoCheck vehicle history report!   VDP sale conversion rates And while we all appreciate a good lead conversion success story, we also wanted to analyze sale conversion rates. We learned that TrueCar VDPs that offered consumers a Free AutoCheck vehicle history report on behalf of a dealership had a higher sales conversion rate. Not only is the rate higher—the sale conversion rate is 50% higher for VDPs that offer a free VHR. Here are a few more interesting pieces of information we uncovered with this latest analysis: VDP’S without an accident close at about 200% higher than those with an accident Vehicles without frame damage had a 250% greater close rate Vehicles without a salvage indicator had a 634% greater close rate Consumers want to make informed decisions when purchasing vehicles, and automotive dealerships can help by providing them with a free AutoCheck Vehicle History Report on every Vehicle Detail Page. Help improve lead conversation rates, sale conversation rates, and build customer trust by offering vehicle history transparency. For dealers with an AutoCheck subscription, you can activate your vehicle listings for free on TrueCar by calling AutoCheck Customer Service at 1 888 409 2204. Dealers interested in learning more about the benefits of becoming an AutoCheck subscriber, contact us today!

As credit volumes recover from lows observed in 2021, lenders face new challenges – from increasing demand in customer expectations, to heightened competition, market volatility and a fierce war on talent. Many lenders have incorporated the foundational elements of credit analytics and seen significant initial returns. Now, it’s time for lenders to unlock even greater growth opportunities and operational efficiencies by exploring AI-powered solutions. Experian presented on a recent webinar hosted by Lendit Fintech, where Srikanth Geedipali, Senior Vice President of Global Analytics and AI for Experian, joined a panel of industry experts with representation from OPY and Citibank, to speak on how lenders can differentiate themselves by unlocking the power of advanced technologies such as AI and ML to address these emerging challenges. Watch the full webinar, NextGen Applications of AI in the Credit Lifecycle, and learn more about: Emerging trends in the AI/ML space that will drive innovation and differentiated solutions Use-cases for AI/ML across the lending lifecycle and how to leverage MLOps to industrialize analytics and improve speed and agility of decision-making How advanced technologies have driven impact for lenders of all sizes     This webinar is a part of Lendit Fintech’s webinar series. To learn more about how leveraging AI/ML can help optimize your lending strategies, contact us today. Learn more about Ascend Intelligence Services

The automotive marketing world has benefited from cookie-based information to help identify and reach consumers in the market for a vehicle. Now that cookies will be going away, marketers need to find alternate ways to find in-market consumers. Let’s explore. What are cookies? Created to personalize internet browsing experiences, cookies are small pieces of code placed within a user’s browser whenever someone visits a specific website. Cookies typically track the website’s name and a generated unique user ID. They can capture page clicks, viewed web pages, clicks within a website, and Personally Identifiable Information (PII) such as an address, name, and device IDs. How are cookies used in marketing? Cookie data helps automotive marketers enhance the user experience by better understanding consumer behaviors to deliver targeted, relevant messaging that moves the consumer through the buying funnel. For example, think about when a consumer researches RVs/travel trailers to see if their current vehicle can handle towing a camper or when they search for the best way to hook up a camper. A dealer could use this cookie data to send advertisements for trucks with a towing package that could potentially tow a trailer. Cookie support is ending, so now what? In 2020, Google announced it would end support for cookies in the Chrome browser by early 2022. This timeline was established to allow Google to address the needs of users, publishers, and advertisers to respond and look for workarounds. The revised timeline puts Google’s cookie retirement in 2023. Marketers have been using cookie data in advertising for years, so what are the options when cookie data goes away? Cookie alternatives Automotive marketers can tackle a cookie-less world by using other sources of consumer data insights. For instance, a third-party data aggregator, like Experian, has access to numerous sources, platforms, and websites. Beyond that, we have access to a vast range of specific consumer data insights, including vehicle ownership, registrations, vehicle history data, and lending data. We take all that information and help marketers segment audiences and predict what consumers will do next. (That’s more than the average cookie!) Sample audience segment information: Consumers in market Loan status In positive equity Driving a specific year/make/model 1000+ lifestyle events such as new baby, marriage, new home Geography, demographics, psychographics To take it to the next level, we can use predictive analytics to go beyond what cookie data could provide by predicting who is ready to purchase a vehicle. In our example above, a marketer used cookie data to find buyers who had shown interest in a tow package, but that’s where it ended. By combining audience segmentation with a predictive model, marketers can target and identify consumers in-market and most likely ready to purchase a vehicle with a tow package. In this way, the data-driven insights from a third-party data provider specializing in automotive insights can replace the cookie-driven approach and take it a significant step beyond. Other ways to reach consumers in a cookie-less world Automotive marketers can also use data-driven insights to further explore specific channels where consumers spend their time. Social media, for example, is an effective channel to reach consumers. Marketers can go beyond standard Facebook audiences by utilizing Experian audience segmentation and predictive analytics to highly target consumers on Facebook. So, if you can predict when a consumer will be in-market, and you know in what channel they spend most of their time, you can target them with specific messages about your dealership and your vehicles. With cookies becoming a tool of the past, knowing who is likely to be in-market, what message resonates with them, and the best channel to use allows marketers to move beyond cookie-based strategies effectively. So, let the cookie crumble! For a deeper dive into cookies, watch this recorded webinar from the 2021 Digital Marketing Strategies conference: As the Cookies Crumble, How Will Automotive Digital Marketing Respond? Presented by Experian's Amy Hughes, Sr. Director of Dealer Intelligence. Learn more about Experian’s Automotive Intelligence Engine and how audience segmentation and predictive analytics can drive more in-market buyers to your dealership.

There are many facets to promoting a more equitable society. One major driver is financial inclusion or reducing the racial wealth gap for underserved communities. No other tool has impacted generational wealth more than sustainable homeownership. However, the underserved and underbanked home buyers experience more barriers to entry than any other consumer segment. It is important to recognize the well-documented racial and ethnic homeownership gap; doing so will not only benefit the impacted communities, but also elevate the level of support of those lenders who serve them. What are we doing as an industry to reduce this gap? Many organizations are doing their part in removing barriers to homeownership and systemic inequities. In 2021, the FHFA published their Duty to Serve 2021 plans for Fannie Mae and Freddie Mac to focus on historically underserved markets. A part of this plan includes increasing liquidity of mortgage financing for lower- and moderate-income families. Fannie Mae and Freddie Mac each announced individual refinance offerings for lower-income homeowners – Fannie Mae’s RefiNow™ and Freddie Mac’s Refi PossibleSM. Eligible borrowers meet requirements including income at or below 100% area median income (AMI), a minimum credit score of 620, consideration for loans in forbearance and additional newly expanded flexibilities. As part of the plan, lenders will lower a borrower’s monthly payment by at least a half a percentage point reduction in their interest rate, which can translate into hundreds of dollars of savings per month and sustain their homeownership. Experian has the tools to help mortgage lenders take advantage of this offering  As a leader in data, analytics and technology, we have the tools needed to help lenders recognize opportunities to be inclusive and identify borrowers who may be eligible for Fannie Mae’s and Freddie Mac’s lower-income refinance offerings. To illustrate, we performed a data study and identified over 6M eligible mortgages nationwide (impacting over 8M borrowers) for this plan, and some lenders had as much as 30% of mortgages in their portfolio eligible with lower- and moderate-incomes.1 These insights can have a positive impact on the borrowers you serve by promoting more inclusion and benefit lenders through improved customer retention, strengthened customer loyalty and an opportunity to continue to build generational wealth through housing. We are committed to enabling the industry's DEI evolution As the Consumer’s bureau, empowering consumers is at the heart of everything we do. We’re committed to developing products and services that increase credit access, greater inclusion in homeownership and narrowing the racial wealth gap. Below are a few of our recent initiatives, and be sure to check out our financial inclusion resources here: United for Financial Health: Promotes inclusion in underserved communities through partnerships and have committed to investing our time and resources to create a more inclusive tomorrow for our communities. Project REACh (Roundtable for Economic Access and Change): brings together leaders from banking, business, technology, and national civil rights organizations to reduce barriers that prevent equal and fair participation in the nation’s economy, and we are engaged with the Alternative Credit Scoring Utility group as part of this initiative. Operation Hope: Empowers youth and underserved communities to improve their financial health through education, so they can thrive (not just survive) in the credit ecosystem so they can sustain good credit and responsibly use credit. DEI-Centric Solutions: From Experian Boost to our recent launch of Experian Go, we offer a variety of consumer solutions designed to empower consumers to gain access to credit and build a brighter financial future. What does this mean for you? Our passion, knowledge and partnerships in DEI have enabled us to share best practices and can help lenders prescriptively look at their portfolios to create inclusive growth strategies, identify gaps, and track progress towards diversity objectives. The mortgage industry has a unique opportunity to create paths to homeownership for underserved communities. Together, we can drive impact for generations of Americans to come. Let’s drive inclusivity and revive the American dream of homeownership. 1Experian Ascend™ as of November 2021

As more consumers apply for credit and increase their spending1, lenders and financial institutions have an opportunity to expand their portfolios and improve profitability. The challenge is ensuring they’re extending credit responsibly and inclusively. Millions of Americans, many of whom are creditworthy, lack access to mainstream credit options. This may be because they have limited or no credit history, negative information within their credit file, or are a part of a historically disadvantaged group. To say “yes” to consumers they otherwise couldn’t or wouldn’t lend to, lenders must gain a deeper understanding of an individual’s stability, ability and willingness to pay. That’s where expanded FCRA-regulated and trended data come in. While traditional credit data has long been the primary means of gauging creditworthiness, it doesn’t tell the full story of a consumer’s financial situation. Let’s explore how differentiated data can help lenders make more informed credit decisions. Using differentiated data for deeper lending Expanded FCRA-regulated data provides supplemental credit data to help lenders gain a more holistic view of their current and prospective customers. Some examples of expanded FCRA-regulated data include alternative financial services data from nontraditional lenders, consumer-permissioned account data, rental payments and full-file public records. Because this data drives greater visibility and transparency around inquiry and payment behaviors, lenders can more accurately determine a consumer’s ability to pay and distinguish between reliable and high-risk applicants. In turn, lenders can approve more creditworthy consumers, grow their portfolios and increase financial opportunities for underserved communities, all while preventing and mitigating risk. 89% of lenders agree that expanded FCRA-regulated data allows them to extend credit to more consumers. Trended data empowers lenders with predictive insights into consumers by providing key balance and payment data for the previous 24 months. This is important as lenders can determine if a consumer’s credit behavior has improved or deteriorated over time. In turn, lenders can: Identify creditworthy customers: Establish if a consumer has a demonstrated ability to pay, is consistently paying more than the minimum payment, or shows no signs of payment stress. Increase response rates: Match the right products with the right prospects. Determine upsell and cross-sell opportunities: Present relevant offers based on anticipated needs and behaviors. Limit loss exposure: Understand the direction and velocity of payment performance to effectively manage risk exposure. Trended data helps lenders better predict future behavior, manage portfolio risk and design the best marketing offers. Turning insights into action Together, trended and expanded FCRA-regulated data benefit lenders and consumers alike. With a more holistic view of their customers, lenders gain powerful insights to lend deeper, ultimately helping them to expand their portfolios and drive greater access to credit for underserved communities. Learn more 1 The Recovery of Credit Applications to Pre-Pandemic Levels, Consumer Financial Protection Bureau, 2021.