Tag: Experian

In the latest episode of "The Chrisman Commentary" podcast, Experian experts Ken Tromer, Director, Mortgage Market Engagement, and Ted Wentzel, Senior Product Marketing Manager, talk about why price transparency is important in the verification process, and how Experian Verify ensures it. Listen to the full episode for all the details and tune in to the previous episode to learn more about reducing mortgage pipeline fallout and improving loan pull-through rate. Listen to podcast

Scott Brown presents at Reuters Next “If I were to look into a crystal ball, traditional lending methodology and processes will not be replaced; they will be augmented by consumers connecting to banks via APIs, contributing the data they are comfortable with, and banks using that in conjunction with historical credit data to offer newer and better products they didn’t have access to before. The convergence of data, tech and AI leads to more financial inclusion and a more modern way of underwriting.”Scott Brown, Group President Financial Services, Experian North America Scott Brown, Group President of Financial Services for Experian North America, recently presented at Reuters Next discussing the transformative power of AI and data analytics in financial services. The session also covered the top challenges that financial institutions face today and how advances in technology are helping organizations overcome those challenges. This keynote presentation was a timely follow-up to Brown’s previous appearance at the Money20/20 conference in Las Vegas, where he revealed the details of Experian’s latest innovation in GenAI technology, Experian Assistant. Brown, in a conversation with TV writer, producer and anchor Del Irani, spoke about the ethical considerations of AI innovation, what the future of underwriting may look like, and how open banking can drive financial inclusion and have a significant positive impact on both businesses and consumers. “If you are extending a line of credit to a given consumer, how do you do so in a way that’s integrated into their everyday lives? That’s where the concept of embedded finance comes in, and how to embed finance into a consumer’s life, and not the other way around.”Scott Brown, Group President Financial Services, Experian North America By embedding finance into consumers’ lives, and not the other way around, organizations can develop better strategies to balance risk and generate more revenue. He also focused on three foundational steps to take advantage of the capabilities AI offers: data quality, transparency, and responsibility. Areas of focus for implementing AI As organizations rely on more sophisticated approaches, data quality inputs are more important than ever. Inaccurate data can lead to poor business decisions that can have a negative impact on organizations’ bottom line. Transparency is also a crucial component of implementing AI solutions. Companies should be able to explain how their models work and why the end results make sense while avoiding biases. Leveraging data with AI tools allows organizations to get a better view of the consumer, which is a goal of most banks and lending institutions. Using that consumer data responsibly is important for financial institutions to establish and maintain trust with the people who use their services. While incorporating AI solutions into everyday business operations is important for financial institutions to better serve their consumers and remain competitive in the industry, a lack of access to AI tools can prevent some organizations from doing so. A fragmented approach leads to higher costs, lower efficiency, and greater risk Until recently, financial institutions have had to rely on several different technology providers and tools to optimize customer experience and operational efficiency while protecting consumers from the risk of identity theft and fraud. This fragmented approach can result in increased costs for organizations and higher risk for consumers. Now, AI technology is solving this issue by integrating functionality into a single platform, such as the Experian Ascend Technology Platform™. This streamlined access to a comprehensive suite of tools can help accelerate time-to-value while also eliminating compliance risks. Full interview available now Brown’s full interview at Reuters Next reveals more details about how Experian is empowering organizations to better serve their consumers’ financial needs through AI innovation while also helping more than 100 million Americans who don’t have access to the mainstream credit ecosystem due to being credit invisible, unscoreable, or have a low credit score. Watch the full interview to learn more about how Experian is continuing to bring financial power to all through innovative technology. Watch the full interview now

Know Your Customer (KYC) procedures are a requirement for banks and other financial institutions to collect and verify the identity of their customers. When a bank verifies the identity of another organization or its owners, the process may be called Know Your Business (KYB) instead.  As part of banks’ anti-money laundering (AML) programs, KYC can help stop corruption, money laundering and terrorist financing. Creating and maintaining KYC programs is also important for regulatory compliance, reputation management and fraud prevention.  READ: How to Build a Know Your Customer Checklist – Everything You Need to Know The three components of KYC programs Banks can largely determine how to set up their KYC and AML programs within the applicable regulatory guidelines. In the United States, KYC needs to happen when banks initially onboard a new customer. But it’s not a one-and-done event—ongoing customer and transaction monitoring is also important.  Customer Identification Program (CIP) Creating a robust Customer Identification Program (CIP) is an essential part of KYC. At a minimum, a bank’s CIP requires it to collect the following information from new customers: Name Date of birth Address Identification number, such as a Social Security number (SSN) or Employer Identification Number (EIN) Banks' CIPs also have to use risk-based procedures to verify customers’ identities and form a reasonable belief that they know the customer's true identity.1 This might involve comparing the information from the application to the customer’s government-issued ID, other identifying documents and authoritative data sources, such as credit bureau databases. Additionally, the bank's CIP will govern how the bank:  Retains the customer’s identifying information Compares customer to government lists  Provides customers with adequate notices Banks can create CIPs that meet all the requirements in various ways, and many use third-party solutions to quickly collect data, detect forged or falsified documents and verify the provided information.  INFOGRAPHIC: Streamlining the Digital Onboarding Process: Beating Fraud at its Game Customer due diligence (CDD)  CIP and CDD overlap, but the CIP primarily verifies a customer’s identity while customer due diligence (CDD) helps banks understand the risk that each customer poses. To do this, banks try to understand what various types of customers do, what those customers’ normal banking activity looks like, and in contrast, what could be unusual or suspicious activity.  Financial institutions can use risk ratings and scores to evaluate customers and then use simplified, standard or enhanced due diligence (EDD) processes based on the results. For example, customers who might pose a greater risk of laundering money or financing terrorism may need to undergo additional screenings and clarify the source of their funds. Ongoing monitoring Ongoing or continuous monitoring of customers’ identities and transactions is also important for staying compliant with AML regulations and stopping fraud.  The monitoring can help banks spot a significant change in the identity of the customer, beneficial owner or account, which may require a new KYC check. Unusual transactions can also be a sign of money laundering or fraud, and they may require the bank to file a suspicious activity report (SAR). Why is KYC important in banking? Understanding and implementing KYC processes can be important for several reasons:  Regulatory compliance: Although the specific laws and rules can vary by country or region, many banks are required to have AML procedures, including KYC. The fines for violating AML regulations can be in the hundreds of millions— a few banks have been fined over $1 billion for lax AML enforcement and sanctions breaching. Reputation management: In some cases, enforcement actions and fines were headline news. Banks that don’t have robust KYC procedures in place risk losing their customers' trust and respect.  Fraud prevention: In addition to the regulatory requirements, KYC policies and systems can also work alongside fraud management solutions for banks. Identity verification at onboarding can help banks identify synthetic identities attempting to open money mule accounts or take out loans. Ongoing monitoring can also be important for identifying long-term fraud schemes and large fraud rings.  ON-DEMAND WEBINAR: Fraud Strategies for a Positive Customer Experience KYC in a digital-first world Many financial institutions have been going through digital transformations. Part of that journey is updating the systems and tools in place to meet the expectations of customers and regulators.  An Experian survey found that about half of consumers (51 percent) consider abandoning the creation of a new account because of friction or a less-than-positive experience — that increased to 69 percent for high-income households.2 The survey wasn’t specific to financial services, but friction could be a problem for banks wanting to attract new account holders. Just as access to additional data sources and machine learning help automate underwriting, financial institutions can use technological advances to add an appropriate amount of friction based on various risk signals. Some of these can be run in the background, such as an electronic Consent Based Social Security Number Verification (eCBSV) check to verify the customer’s name, SSN and date of birth match the Social Security Administration’s records. Others may require more customer involvement, such as taking a selfie that’s then compared to the image on their photo ID — Experian CrossCore® Doc Capture enables this type of verification.  Experian is a leader in identity and data management  Experian's identity verification solutions use proprietary and third-party data to help banks manage their KYC procedures, including identity verification and Customer Identification Programs. By bundling identity verification with fraud assessment, banks can stop fraudsters while quickly resolving identity discrepancies. The automated processes also allow you to offer a low-friction identity verification experience and use step-up authentications as needed.  Learn more about Experian’s identity solutions.  1FDIC (2021). Customer Identification Program 2Experian (2023). Experian's 2023 Identity and Fraud Report

According to Experian’s State of the Automotive Finance Market Report: Q2 2022, the average new vehicle interest loan rate for consumers with a credit score between 501 and 600, also referred to as subprime, was 9.75%—compared to prime consumers with a credit score between 661 and 780, who had an average new vehicle interest loan rate of 4.03% this quarter.

Leasing has long been a popular choice among consumers who want to enjoy the latest vehicle models, but at a lower monthly payment. In fact, the average monthly lease payment was $127 less than a loan payment in Q2 2022. However, in recent quarters, we’ve seen leasing availability decline due to current market conditions. According to Experian’s State of the Automotive Finance Market Report: Q2 2022, leasing declined from 27.82% to 19.65% year-over-year, marking the lowest drop in quite some time. When analyzing previous data, leasing comprised 30.41% of all new vehicles in Q2 2018, decreasing to 30.04% in Q2 2019 and 26.58% in Q2 2020. There are likely a number of factors contributing to the decline of leasing over recent years, including the ongoing inventory shortages and OEMs not offering as many incentives, which may result in leasing opportunities becoming less common. Other scenarios can be consumers choosing to extend their lease, or purchase the vehicle once their lease has expired. In Q2 2022, the average monthly lease payment increased to $540, from $475 in Q2 2021. Though, the average monthly loan payment for a new vehicle surpassed $600 this quarter—coming in at $667, an $85 year-over-year increase. As automotive professionals continue to navigate through the inventory shortages and subsequent vehicle price increases, understanding the landscape and what options are available for consumers will be critical. One way to keep on top of the trends is analyzing the pricing options for the most popular leased models, which will enable more informed decisions in the months to come. Average monthly payment for top leased models As previously mentioned, there was an average payment difference of $127 between a lease and a loan in Q2 2022. However, that’s just an average, and these numbers can vary based on the vehicle type. For example, the average monthly lease payment for a Honda Civic was $363 in Q2 2022, as opposed to the average monthly loan payment of $476. In comparison, the average monthly lease payment for a Ford F-150 came in at $516 this quarter, compared to the average monthly loan payment of $832. While a pickup truck may typically have a higher average monthly lease payment than a sedan, consumers are continuing to choose larger vehicles, overall. In Q2 2022, there was only one sedan that made up the top leased vehicles—with the Ford F-150 having the highest leasing registration volume, comprising 2.3% this quarter. Rounding out the top five were Chevrolet Equinox (2.27%), Honda CR-V (2.16%), Honda Civic (2.09%), and Ram 1500 (1.81%). Despite the overall decline in leasing over the past year, it continues to be a financing option that consumers can consider amid vehicle prices increasing. Knowing what vehicles are most prevalent as well as their price points will allow professionals to create strategies that cater to the most current consumer financing preferences during their search for a vehicle that fits their needs. To learn more about leasing and other automotive finance trends, watch the entire State of the Automotive Finance Market: Q2 2022 presentation on demand.

Consumers are shifting to used vehicles over new, with a higher percentage of consumers financing used. The move comes as the industry continues to grapple with inventory shortages, driving vehicle values higher.

According to Experian’s Automotive Market Trends Report: Q1 2022, new vehicle registrations were down 19% from the prior year—declining to 3.4 million. Used registrations went from 11.4 million to 9.9 million year-over-year, decreasing 13.2%.

Whether a consumer has a brand-new or used vehicle, it’s inevitably going to need regular maintenance and require repairs. Fortunately for aftermarket professionals, the aftermarket “sweet spot” is continuously growing—a trend that should be watched closely. Vehicles in the sweet spot are typically between six- to 12-model-years-old and have aged out of general OEM manufacturer warranties for any repairs. Knowing the model year and type of vehicles that are in operation will be important for aftermarket professionals to determine what parts may be needed, and anticipate potential consumer needs. According to Experian’s Automotive Market Trends Report: Q1 2022, 35.8% of vehicles in operation (VIO) now fall within the aftermarket sweet spot, a 6.5% year-over-year increase. It is important to note that the aftermarket sweet spot max volume record of 104 million is expected to be broken over the next 12-18 months, considering the sweet spot volume was 100.3 million through Q1 2022 and the last time it exceeded that number was nine years ago. The increase will create more opportunities for aftermarket professionals as more vehicles will potentially need maintenance. Aftermarket “sweet spot” will continue to grow Right now, the aftermarket sweet spot consists of model years between 2011 and 2017. There were 10.5 million 2011 model year vehicles on the road through Q1 2022, this low volume will transition into the post-sweet spot next year. At the same time, there will be 16.5 million 2018 model year vehicles entering the sweet spot. Furthermore, an estimated 16.7 million vehicles in operation with a 2019 model year and almost 14.3 million vehicles in operation with a 2020 model year will be transitioning into the sweet spot in the next two years. When these model year vehicles enter the sweet spot, the current 12 million vehicles with a 2012 model year and an estimated 13.7 million 2013 model year vehicles will transition into the post-sweet spot, resulting in a notable increase. Watching this data closely will allow aftermarket professionals to continue assisting with maintenance and repairs for these vehicles that are currently on the road, as well as prepare for what’s to come to the aftermarket industry in approaching years. To learn more about other vehicle registration trends, watch the full Automotive Market Trends Report: Q1 2022 presentation on demand.

According to Experian's State of the Automotive Finance Market Report: Q1 2022, SUVs and CUVs made up 60.38% of total vehicle financing, an increase from 58.95% in Q1 2021.

According to Experian’s State of the Automotive Finance Market Report: Q1 2022, credit unions had their highest total share in five years

Although 2021’s continued focus is Americans learning to co-exist with COVID-19, automotive manufacturers and dealers will likely remember 2021 as the year of the chip. The semiconductor chip shortage is now expected to cost the global automotive industry $210 billion in revenue in 2021 and it is now forecasted that 7.7 million units of production will be lost in 2021, up from 3.9 million in the May forecast.1 Most experts agree that the shortage will likely extend into 2022. Chip Shortage Creates Additional Challenge for Dealers The current shortage in semiconductors has automotive manufacturers and dealers questioning whether to continue advertising or pull back. Some dealers view the increase in profits due to reduced inventory a signal to pull back on advertising spend. Other dealers, however, are thinking about long-term marketing strategy—and are continuing to advertise to help maintain brand exposure to customers. Foreword-thinking dealers and agencies should use this time to evaluate advertising strategies and plan for life after the chip shortage. Staying visible to customers in the interim is critical, so any advertising needs to be strategic in audience, medium and message. Here are three recommendations to help keep your brand in front of current and future consumers while using marketing dollars wisely. Identify Your Audience: Be Sure to Market to the Right People Knowing which consumers are most likely to purchase your vehicles is a key element of targeting with the promise of saving money by marketing only to those who are most likely to result in a sale. By evaluating prior purchase, demographic, and psychographic trends, including specific life events, dealership marketers can more effectively pinpoint demand as well as foster positive relationships. For example, knowing that a consumer recently added a new child to the family would be a great reason to send a coupon or make a call. Experian’s Automotive Intelligence Engine™ (AIE) will send “events” to your CRM to alert you of life events that can help develop and deepen relationships that lead to future vehicle sales. Additionally, AIE’s Market Insights enable dealers to grow market share by identifying the best prospects and matching them with the right messages. Strategically targeting both conquest and loyal customers with appropriate messaging keeps consumers engaged so they will remember your brand when they buy next. Leverage Your Brand Reputation Keeping your brand front and center has been the cornerstone of your marketing efforts and that shouldn’t change. Much like looking at family photos or reading an article about your favorite team, exposure to positive advertisements reinforces a consumer’s relationship with your brand. Whether the goal is to leverage your OEM driven brand awareness or support the consumer relationship with your dealership, positive messages from local dealers perpetuate ongoing loyalty. Experian’s Automotive Intelligence Engine generates powerful marketing strategies and efficient data-driven, omni-channel media plans with engaging, brand-specific messaging direction that resonates with consumers. Dealers and agencies use AIE to generate custom marketing plans that leverage data-driven market analysis, strategic audience creation, and powerful marketing strategy, creating messages that effectively reach the right prospects, with the right message, on the right channel. This end-to-end solution will reach consumer mailboxes, inboxes, screens, and computers where your best audiences spend their time. Continue to Foster a Positive Relationship with Consumers Marketing is more than selling a story.  Marketing initiates the consumer experience, especially in the digital world. From effective OTT ads to strategic social posts, successful dealerships often put their relationship with the community at the heart of their message. Simple images of your dealership delivering meals to local first responders and essential workers or posts showing the local high school marching band loading instruments into one of your trucks can convey a strong sense of community pride to your brand.  This sort of promotion impacts future consumer purchases well beyond any chip shortage. While the chip shortage has had a profound impact on how dealerships approach vehicle acquisition, price structures and marketing, it will eventually be resolved. The decisions you make now can have a big impact on your success when the shortage ends. Learn more about Experian’s Automotive Intelligence Engine™ (AIE). https://www.cnbc.com/2021/09/23/chip-shortage-expected-to-cost-auto-industry-210-billion-in-2021.html

When we look at how automotive manufacturers and dealers have marketed vehicles over the last few decades, we can see how through every decade, and every learning, it has led to data-driven marketing strategies that are powering success today. Let’s take a look: Strategic marketing in the 1990’s In the 1990’s dealership marketing included mainly newspaper and radio advertisements complimented by occasional direct mail pieces mailing to every home in a zip code. OEMs purchased ad time on popular Television and their dealer associations and local dealers had an option to do the same. Because the 1990’s was the age of “mass media,” marketing was based off geography. There was less attention on channel or audience and a good deal of spending! Cars were sold. Strategic marketing in the 2000’s The new millennium brought advancements in computers and databases. Dealerships explored the exciting world of internet promotion and email marketing and continued using traditional newspaper, radio and television to drive traffic. mail programs such as the “scratch and win” or the “key to a car you can win” efforts were common, resulting in massive mail-based marketing campaigns. Then came 2008, when many dealers drastically cut back on spending and were focused mainly on surviving the Great Recession. As we all know, many dealers, and even vehicle makes, did not. Strategic marketing in the 2010’s In the beginning of the decade, manufacturers and dealers were still recovering from the recession but were slowly feeling more optimistic about the economy. If there is one thing the industry learned from the recession, it was to be much more strategic when it came to spending. During this decade, ad technology advanced, as did the ability to evaluate marketing spend. Dealers became aware of the true cost of their traditional marketing ways and embarked on new paths of marketing to a smaller but more specific audience. Equity mining and greatly advanced revolutionized the direct mail and related online arena. As the decade drew to a close, marketers leveraged solutions where merge fields enabled customization and personalization for both direct mail and email marketing. With the ability to deliver massive volumes at a lower cost, email blasts grew in popularity. Social media platforms emerged as a force, and dealers experimented to invent new ways to leverage them. Television marketing underwent a massive facelift as consumers left cable for streaming services resulting in new advertising strategies such as addressable and connected TV, OTT (Over The Top) advertising. Strategic marketing in 2020 2020 will forever be remembered as the year of the pandemic. In automotive marketing, it was also the year of reinvention! With many showroom closures, dealers and OEMs found themselves with a reduced advertising budget and a greater need to find more targeted audiences with more effective marketing messaging. How do I master my market share? Who is in-market for my vehicles? How is my website performing? Which customers are in equity? Which customers have added a child to the household? How do I reach them in a digital world? This is where Experian has helped both manufacturers and dealers. Experian’s automotive marketing solutions help marketers utilize vehicle, consumer, lender, and market data to leverage market insights, target the right audience, develop effective messaging strategies, and measure outcomes to continually optimize results. Over the last four decades, automotive marketing strategies have become much more data driven, so having a solution that uses data insights to help retain loyal customers and win new conquest customers, all while reducing total marketing spend, is a key requirement for success in this decade…and beyond. If you're a marketer at a Dealership, learn more about our marketing solutions here. If you're an Auto OEM marketer, learn more about our marketing solutions here.

Premier Awards Program Recognizes Breakthrough Financial Technology Products and Companies Experian’s Ascend Intelligence Services was selected as a winner of the “Consumer Lending Innovation Award” category in the fifth annual Fintech Breakthrough Awards conducted by Fintech Breakthrough, an independent market intelligence organization that recognizes the top companies, technologies and products in the global fintech market today. The Fintech Breakthrough Awards is the premier awards program founded to recognize the fintech innovators, leaders and visionaries from around the world in a range of categories, including digital banking, personal finance, lending, payments, investments, RegTech, InsurTech and many more. The 2021 Fintech Breakthrough Awards attracted more than 3,850 nominations from across the globe. One of the latest developments on Experian's trusted, award-winning Ascend platform, Ascend Intelligence Services empowers financial services firms with Experian’s revolutionary managed analytics solutions and services, delivered on a modern-tech AI platform. Ascend Intelligence Services includes rapid model development, seamless deployment, optimized decision strategies, ongoing performance monitoring and continuous retraining. The technology-enabled service uses a secure cloud-based AI platform to harness the power of machine learning, and deliver unique capabilities covering the entire credit lifecycle, through an easy-to-use web portal. “To stay ahead of the latest economic conditions, fintechs need high-quality analytical models running on large and varied data sets that empower them to act quickly and decisively. The breakthrough Ascend Intelligence Services platform answers this immediate market need,” said James Johnson, Managing Director, Fintech Breakthrough. “Congratulations to Experian and the Ascend team on winning our ‘Consumer Lending Innovation Award’ for 2021 with this game-changing solution.” “Data scientists are spending too much time on manual, repetitive and low value-add tasks, and organizations cannot afford to do this is in a state of constant change,” said Srikanth Geedipalli, Experian’s SVP Global Analytics/AI Products. “While building and deploying high-quality analytical models can be time-consuming and expensive, Ascend Intelligence Services streamlines this process by harnessing the power of machine learning and Experian’s rich data assets to drive better, faster and smarter decisions. We have been able to deliver analytical solutions to clients up to 4X faster, significantly improving decision automation rates and increasing approval rates by double digits. We are proud that Ascend Intelligence Services is being recognized as a breakthrough solution in the 2021 Fintech Breakthrough Awards program,” he said. Ascend Intelligence Services is comprised of four modules: Ascend Intelligence Services Challenger™ is a powerful, dynamic and collaborative model development service that enables Experian to rapidly build a model and quantify the benefit to business. Businesses can review, comment on and approve the model, all from within the web portal, while it’s being built. The resulting score is available for testing through an API endpoint and can be deployed in production with a few easy steps. Reports are customizable, downloadable and regulatory compliant. Ascend Intelligence Services Pulse™ is a proactive model monitoring and validation service, which aids companies in monitoring the health of models that drive their business decisions. Pulse, provides convenient dashboards that include a model health index, performance summary, stress-testing results, model risk management reporting, model health alerts and more. Additionally, Pulse automatically builds challengers for champion models, providing an estimated performance lift and financial benefit. Ascend Intelligence Services Strategy Advance™ is a powerful business strategy development service, enabling clients to make optimal lending decisions on their applicants. Strategy Advance uses Experian’s powerful optimization engine to build the right credit policy for clients, including sophisticated decision rules, model overlays and client specified knock-out rules. The resulting decision is available for testing through an API endpoint and can be deployed in production with a few easy steps. Ascend Intelligence Services Limit™ is a credit limit optimization service, enabling clients 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. The limit decision is available for testing through an API endpoint and can be deployed in production with a few easy steps. 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 Fintech Breakthrough Awards, read the full press release here.

For credit unions of all sizes, choosing a strategic partner with the right tools, capabilities, and industry expertise to support growth while minimizing expenses is a decision critical to the bottom line. This is especially important, since the goal of achieving sustainable growth has continued to be a trending topic for credit unions since the start of the pandemic. According to this CU Times analysis of NCUA data, the fourth quarter of 2020 showed that high overhead per assets was the main factor holding down net income, and credit unions with less than $1 billion in assets fared the worst. These high overhead costs kept margins low and served to be a key contributing factor in gauging a credit union’s profitability. Overcoming this problem lies not only in improving operational efficiency, but in seeking out partners that can provide innovative insight and “right-sized,” scalable solutions to help credit unions effectively grow at a strategic pace. The less money a credit union spends earning each dollar, the more operationally efficient and resource-savvy it becomes—which in turn generates more value for both the credit union and its members. So how can a credit union successfully assess a potential partner’s ability to help them achieve goals for sustainable growth? Asking three key questions can reveal a potential partner’s operational prowess and their ability to understand and offer the right solutions tailored for an individual credit union’s need. Minimize Overhead with a Partner Who Can Help Accelerate and Support Sustainable Growth: Evaluation Questions to Ask 1. Does my potential partner offer solutions to ease the strain on staff, or help automate time-consuming, repetitive tasks and processes? Automation is not only for large credit unions. Employees at credit unions with $4 billion and less in assets often wear many hats and manage the full spectrum of credit activities, leaving leaders to ponder how much time staff is spending on rote, manual tasks throughout the end-to-end member lifecycle. As a result, credit unions are turning to automated decisioning to streamline repetitive tasks and meet increasing member expectations, while also reducing risk. To drive sustainable growth, credit unions will want to look at current processes as a means of measuring efficiency. Can existing programs handle growth to scale in all areas of the business? How can digital lending automation be increased and free up more time for staff to focus attention where it is needed most, such as high-value engagements with members and delivering a personalized member experience? Can self-service tools save your credit union valuable time and increase employee satisfaction? 2. Does my potential partner have access to the right data, advanced analytics and technology to help optimize credit decisioning? As credit unions consider different ways to minimize overhead and accelerate growth, the last few years have shown that automation, coupled with advanced analytics and technology, has taken on a second wave of focus and intense interest. A significant opportunity pertaining to automation is supporting decisioning throughout the member lifecycle, again, eliminating the need for manual processes that cannibalize time and resources. For example, access to advanced analytics and data at the onset of account acquisition can quickly inform a lender as to whether a new account should be approved or declined. Furthermore, it also presents an opportunity to lend deeper. Credit unions can leverage expanded datasets to perform an analysis on rejected applicants and make more predictive decisions – leading to incremental loans. Additionally, lenders have identified other areas where automated decisioning could speed up processes that once required manual evaluation – from account and portfolio management, to marketing and prescreening efforts, to managing early and late-stage delinquent accounts. By leveraging a partner who can support optimizing credit decisioning with the freshest data and analytics, credit unions can routinely and consistently be sure they’re making the right offers and decisions to the right customer at the right time. 3. Does my potential partner offer digital-first strategies and solutions that help reduce friction and improve the member experience? More and more members are interacting and engaging with their credit unions via digital channels. To meet their demands, credit unions – who have historically prioritized other initiatives over digital transformation– are quickly pivoting and rethinking their digital strategy to offer best-in-class digital banking and borrowing experiences, while also reducing friction. Part of this strategy includes smart, easy and well-designed applications that support sustainable growth simply by streamlining offers and reducing abandonment. When considering a potential partner, take into consideration their ability to assist with digital-first solutions, including: Real-time income and employment verification, and fraud tools to quickly and accurately confirm important factors, including the legitimacy of members, and streamline the borrowing process with minimal friction. Instant prescreen, self-service prequalification and instant credit to offer fast, easy, and convenient real-time credit decisions for members. Additionally, improving lending economics with a digital-first pre-qualification tool can not only better serve members, but also drive more apps and grow loans. Artificial intelligence, machine learning and other innovative technologies to enhance underwriting and decrease both hard inquiries on applications and the need for extensive underwriter review. Prequalification tools powered by innovative technology solutions can lead to efficient use of underwriter resources and act as a filter in front of the LOS to remove unqualified applications from hard inquiries. Technology that integrates with multiple lending and core systems and delivers solutions that integrate with multiple systems and channels. For example, to help improve conversion, the borrower experience can be offered a simple application that is designed to “get to offer” as fast as possible. This helps reduce abandonment. The process can be further streamlined by integrating data sources for ID verification, auto fill assistance and adding integrations with existing lending and core systems. To learn more about Experian and how our solutions can support and grow your credit union, contact us now. Contact Us

Experian’s Q4 2020 Market Trends Review takes a closer look at aftermarket trends, including the growing sweet spot.