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Who is the ideal dealership customer? Wouldn’t they be one that buys or leases a car and becomes a repeat customer? Loyal customers are ideal because they prefer to go to your dealership to purchase a vehicle, get their vehicle serviced, and even have their family and friends purchase from you. This brings up an important question: what is customer loyalty worth to you? According to the White House Office of Consumer Affairs, on average, loyal customers are worth up to 10 times as much as their first purchase. They also found that it is six to seven times more expensive to acquire a new customer than it is to keep a current one. Marketing Metrics found the probability of selling to a new prospect is only between 5-20%. But if you are selling to an existing customer, the probability rises to 60-70%. So, knowing this, what holds dealers back from actively conquesting loyal customers? Time, money, resources, expertise, priority, process and systems, and data are the key factors that keep them from pursuing these ideal customers. Even though you may stare across the street at them every day, you must remember that your competition is much bigger than the dealerships next door to you. According to recent Experian® research, Whether it is a new, certified used, or non-certified used vehicle, auto manufacturers will have the highest level of loyalty by owned vehicle acquisition. Next to that, you have the Make of a vehicle followed the Model.  Dealerships rank last in loyalty against these major factors. This leads to asking a few “what-ifs”. What if you have the unique opportunity to improve customer loyalty, make more money, and prevent defection to the competition? What if you had actionable insights to know your customer’s buying and loyalty propensities with a high degree of accuracy? How about if you had knowledge of timing on when to engage with your customers to appropriately deliver the right message and offers with the highest potential conversion rate? Finally, what if you had an easy, cost-effective, yet powerful way to unify big data relating to consumer, vehicle, and market and your customer data to make better marketing decisions? Thanks to Experian® and Auto HyperConnect™, you don’t have to ask those questions anymore. Auto HyperConnect leverages the most robust combination of data assets under one roof.  Our loyalty component is called Auto HyperMonitoring™ and takes loyalty to the next level. Auto HyperMonitoring is an event-based customer loyalty measurement solution that gives you the ability to more effectively manage and strengthen your customer retention efforts.  With insights derived from the monitoring of both macro- and micro-environments relating to the vehicle, consumer events, and the overall automotive landscape, clients can quickly gain a deep understanding of consumer loyalty propensities and can create and execute initiatives that maximize their customer loyalty opportunities. Starting with a client’s customer file, Auto HyperMonitoring provides data hygiene that verifies the VIN matches the customer household and will only monitor the VINS that have a match. Next, there is monitoring for vehicle events such as accidents or airbags going off.  Consumer events equate to having a baby or moving.  Market events involve incentives, OEM loyalty, and warranty expiration. Data events are phone numbers, email address, or VIN verification through the hygiene process.. These events feed into the creation of analysis & insights to identify your customers’ behavioral patterns attributed to loyalty, purchasing, and other factors.  When key opportunities are identified, there is client notification. This is used to manage the customer relationship and loyalty through a dealer’s CRM system and comes in an email. How you would use Auto HyperMonitoring? It can be used to bring customers back into the showroom or service lanes in a few different ways. Initially, Dealers can call consumers to open the lines of communication. Next, sending consumers emails and direct mail with special offers are both effective. Finally, Auto HyperMonitoring can also be used to activate digital media targeting campaigns to better reach them where they’re spending their time. Finally, we have the product benefits of Auto HyperMonitoring. First off, it enhances customer engagement & loyalty. By proactively engaging with clients at the right moment based on important and relevant vehicle, customer, and market-related event triggers, loyalty can be systematically strengthened. Second, it improves marketing efficiency. Knowing when to engage with your customer base to minimizes the risk of over and under marketing exposure; improve conversion and reduce cost. Third, complete, accurate, & actionable data is delivered in a timely manner. Auto HyperMonitoring leverages both a client’s customer file and Experian’s rich data assets to enable a complete view of customer opportunities. Finally, Auto HyperMonitoring compliments and supports OEM/dealer loyalty programs. Maximizing revenue opportunities by achieving/surpassing OEM/Dealer loyalty program goals is possible with Auto HyperMonitoring. Customer loyalty is important and will directly impact dealership sales in both your showroom and your service lanes – including the benefit of referral customers. The challenges of competing with manufacturers and other dealerships are mitigated with Experian’s Auto HyperConnect suite and Auto HyperMonitoring. With these, you will have greater success when targeting customer loyalty and using data to keep the relationship between the dealership and the customer alive.

With delinquencies on the rise, financial institutions are looking for new tools to evaluate and improve the financial lives of customers and members. As the consumer’s bureau, Experian is also committed to improving the financial well-being of consumers. As part of that commitment, Experian supports the mission of the Center for Financial Services Innovation (CFSI), an organization focused on improving the financial health of Americans, especially the underserved, through innovative financial products and services.    Experian recently spoke with CFSI’s Thea Garon, a Director on CFSI’s Program Team to learn more about a new free, open-source tool the organization will be launching in June to help financial institutions drive consumer financial health. Here are some insights she shared about the new tool. Can you provide an overview of the CFSI Financial Health Score™ and how it is calculated? The CFSI Financial Health Score™ is designed to help financial service providers, employers, and other organizations diagnose and measure the financial health of their customers, clients, and employees. The framework provides a holistic, moment-in-time snapshot of an individual’s financial health based on eight multiple-choice questions that align with CFSI’s eight indicators of financial health. It includes one Financial Health Score and four sub-scores (Spend, Save, Borrow, and Plan). A set of nationally representative benchmarks offers comparisons across peer groups. CFSI has designed the framework to be free, open-source, simple, and easy-to-use. It’s intended to be a starting point; a proof point that financial health can be quantified, measured, and ultimately improved. Why did CFSI decide to develop this framework? At CFSI, we believe, and have recently released research to support the concept that financial institutions have a business incentive to help their customers lead financially healthy lives. Financial health comes about when your daily financial systems allow you to be resilient and pursue opportunities over time. As a financial service provider, you can help your customers lead financially healthy lives by helping them spend wisely, build savings, borrow responsibly, and plan for the future. To do this, you need a measurement framework to understand and track your customers’ financial health over time. The CFSI Financial Health Score™ is one way to do this. You can use the methodology to diagnose your customers’ financial needs and use these insights to develop products, programs, and solutions to help them improve their financial health over time. You can also share financial health scores directly with your customers to help them understand the actions they can take to improve their own financial health. Ongoing tracking will allow you to assess whether your company is making a meaningful difference in your customers’ lives over time. Can you provide any early examples of how CFSI Health Network members have adopted and incorporated this framework? Approximately 100 financial service providers have downloaded the framework, representing a diverse range of companies, including banks, credit unions, fintechs, non-profits, payment networks, and B2B technology providers. At least 14 companies are actively using the Financial Health Score to measure and track their customers’ financial health and have committed to sharing data and insights with us through CFSI’s Financial Health Leaders program. Some companies, are using the framework to assess their customers’ financial health for strategic planning purposes. Other companies, such as Wright-Patt Credit Union, are using the financial health score to engage their customers in a dialogue about financial health. The credit union has incorporated the framework into their MoneyMagnifier program, a financial coaching program designed to provide free, one-on-one advice and guidance to members in a judgment-free environment. Financial coaches have been trained to use the framework to start a conversation with members to help them improve their spending, saving, borrowing, and planning behaviors. Coaches help members set goals and develop personalized action plans to achieve those goals toward a better financial future, following up with them after six months to measure improvement and advance the conversation. What have you learned from companies who have started measuring and improving their customers’ financial health with the CFSI Financial Health Score™? While interest in advice is high, uptake can be slow. Making the interaction quick and easy, whether online or in person, is critical. The health check lengthens the interaction, so conducting the health check by appointment rather than with walk-in customers, can help set customer expectations for a lengthier interaction, but may reduce the number of potential participants. Enabling customers to expedite the session by taking the survey online can be helpful, but requires development resources to implement. Many companies are exploring the pros and cons of sharing customers’ scores with them. A single score can help motivate individuals to take action that will improve their financial well-being. However, sharing a low score can also be demoralizing to some, and focusing on the number itself can divert attention from behavioral changes and action steps. Some organizations are choosing to use customers’ response patterns to drive recommendations without sharing the score. Others are opting for a middle ground, sharing an indicator (such as green, yellow, red) instead of a specific number. The most effective measurement and improvement strategies go beyond the CFSI Financial Health Score™. While the framework can help you get started identifying high-level needs, targeted recommendations often require a more nuanced understanding of behaviors and challenges. Combining survey data with account or transaction data can provide a more holistic view into a customer’s full financial life. Each organization must find a balance between the comprehensiveness required to provide meaningful advice and the simplicity required to engage both customers and staff. How can interested companies start using the CFSI Financial Health Score™? We will be publicly releasing the CFSI Financial Health Score™ at the EMERGE: Financial Health Forum (June 6 -8 in Los Angeles). The score will be easy to download and completely free to use. Those who are interested in learning more can also sign up for our newsletter to get an update when the Toolkit is released.

According to our recent research for the State of Alternative Credit Data, more lenders are using alternative credit data to determine if a consumer is a good or bad credit risk. In fact, when it comes to making decisions: More than 50% of lenders verify income, employment and assets as well as check public records before making a credit decision. 78% of lenders believe factoring in alternative data allows them to extend credit to consumers who otherwise would be declined. 70% of consumers are willing to provide additional financial information to a lender if it increases their chance for approval or improves their interest rate. The alternative financial services space continues to grow with products like payday loans, rent-to-own products, short-term loans and more. By including alternative financial data, all types of lenders can explore both universe expansion and risk mitigation. State of Alternative Credit Data

The second full day of Experian Vision 2018 kicked off with an inspirational message from keynote speakers Capt. Mark Kelly and Former Congresswomen Gabby Giffords, rolled into a series of diverse breakout sessions, and concluded with Super Bowl-winning quarterback Aaron Rodgers sharing tales of sports, leadership and winning. Need a recap of some of the headlines from the day? Here you go ... Retail Apocalypse? Not so fast alarmists. Yes, there are media headlines around mergers, closings and consumers adopting new ways to shop, but let me give you three reasons as to why the retail sky is not falling. There were more store openings last year than closings, and that trend is expected to continue this year with an estimated 5,500 openings by December. There continues to be a positive sales trajectory. E-commerce sales are increasing. Big department stores have seen pains, but if brands are focused on connection, relevance and convenience, there is hope. Consumers continue to spend. Subprime auto bubble? Nope. Malinda Zabritski, Sr. Director of Experian Automotive Sales, says the media likes to fixate on the subprime, but subprime financing has been on the decline, reaching record lows. Deep subprime is at .65%. Additionally, delinquency rates have also tapered. The real message? Consumers are relying on auto lenders for financing, largely due to consumer preferences to lease. The market is healthy, and while it has slowed slightly, the market is still at 7% year-over-year growth. Consumer-permissioned data is not just a value-add for thin-file consumers. Take for instance the inclusion of demand deposit accounts (DDAs). David Shellenberger, Sr. Director of Scoring and Predictive Analytics for FICO, says people who have had long relationships with their checking accounts tend to be more stable and generally sport higher credit scores. Consumers with thick, mature files can also benefit with DDA data. Consumer-permissioned data is not just about turning a “no” to a “yes.” It can also take a consumer from near-prime to prime, or from prime to super-prime. Would you want to make a credit decision with less information or more? This was the question Paul DeSaulniers, Experian Sr. Director of Product, posed to the audience as he kicked off the session on alternative data. With an estimated 100 million U.S. consumers falling below “thick-file” credit status, there is a definite need to learn more about these individuals. By leveraging alternative credit data – like short-term lending product use, rental data, public records and consumer-permissioned data – a more holistic view of these consumers is available. A few more facts: While alternative finance users tend to be more subprime, 20% are prime or better. A recent data pull revealed 20% of approved credit card users also had alternative finance data on them as well. About 2/3 of households headed by young adults are rentals. Imagine a world where the mortgage journey takes only seven to 10 days. With data and technology, we are closer than you think. Future products are underway that could master the underwriting phase in just one day, leaving the remaining days dedicated for signing disclosures, documents and wiring funds. Processes need to be firmed up, but a vision has been set. The average 30- to 45-day mortgage journey could soon be a distant memory. 97% of online banking applications that are started are abandoned. Why? Filling out lengthy forms, especially on a mobile device, is not fun. New technology, such as Experian’s Instant Form Fill, is allowing consumers to provide a name, zip and last four numbers of their social security number for an instant form fill of the rest of the application. Additionally, voice assistants are expected to increasingly facilitate research on purchases big and small. A recent study revealed nearly half of consumers perceive voice assistants to be useful. Businesses have more fraud losses than ever before. Not surprising. What is scary? An estimated 54% of businesses said they are not confident in their ability to detect fraud. Another session reported that approximately 20% of credit charge-offs are synthetic IDs, a growing pain point for all businesses. Consumers, on the other hand, say they “want visible signs of security” and “no friction.” Tough to balance, but those are today’s expectations. More Vision 2018 insights can be accessed on #ExperianVision twitter feed. Vision 2019 will be in San Antonio, Texas next May 5-8.

Alternative credit data. Enhanced digital credit marketing. Faster, integrated decisioning. Fraud and identity protections. The latest in technology innovation. These were the themes Craig Boundy, Experian’s CEO of North America, imparted to an audience of 800-plus Vision guests on Monday morning. “Technology, innovation and new sources of data are fusing to create an unprecedented number of new ways to solve pressing business challenges,” said Boundy. “We’re leveraging the power of data to help people and businesses thrive in the digital economy.” Main stage product demos took the shape of dark web scans, data visualization, and the latest in biometric fraud scanning. Additionally, a diverse group of breakout sessions showcased all-new technology solutions and telling stats about how the economy is faring in 2018, as well as consumer credit trends and preferences. A few interesting storylines of the day … Regulatory Under the Trump administration, everyone is talking about deregulation, but how far will the pendulum swing? Experian Sr. Director of Regulatory Affairs Liz Oesterle told audience members that Congress will likely pass a bill within the next few days, offering relief to small and mid-sized banks and credit unions. Under the new regulations, these smaller players will no longer have to hold as much capital to cover losses on their balance sheets, nor will they be required to have plans in place to be safely dismantled if they fail. That trigger, now set at $50 billion in assets, is expected to rise to $250 billion. Fraud Alex Lintner, Experian’s President of Consumer Information Services, reported there were 16.7 million identity theft victims in 2017, resulting in $16.8 billion in losses. Need more to fear? There is also a reported 323k new malware samples found each day. Multiple sessions touched on evolving best practices in authentication, which are quickly shifting to biometrics-based solutions. Personal identifiable information (PII) must be strengthened. Driver’s licenses, social security numbers, date of birth – these formats are no longer enough. Get ready for eye scans, as well as voice and photo recognition. Emerging Consumers The quest to understand the up-and-coming Millennials continues. Several noteworthy stats: 42% of Millennials said they would conduct more online transactions if there weren’t so many security hurdles to overcome. So, while businesses and lenders are trying to do more to authenticate and strengthen security, it’s a delicate balance for Millennials who still expect an easy and turnkey customer experience. Gen Z, also known as Centennials, are now the largest generation with 28% of the population. While they are just coming onto the credit scene, these digital natives will shape the credit scene for decades to come. More than ever, think mobile-first. And consider this … it's estimated that 25% of shopping malls will be closed within five years. Gen Z isn’t shopping the mall scene. Retail is changing rapidly! Economy Mortgage originations are trending up. Consumer confidence, investor confidence, interest rates and home sales are all positive. Unemployment remains low. Bankcard originations have now surpassed the 2007 peak. Experian’s Vice President of Analytics Michele Raneri had glowing remarks on the U.S. economy, with all signs pointing to a positive 2018 across the board. Small business loan volumes are also up 10% year-to-date versus the same time last year. Keynote presenters speculate there could be three to four rate hikes within the year, but after years of no hikes, it’s time. Data There are 2.5 quintillion pieces of data created daily. And 80% of what we know about a consumer today is the result of data generated within the past year. While there is no denying there is a LOT of data, presenters throughout the day talked about the importance of access and speed. Value comes with more APIs to seamlessly connect, as well as data visualization solutions like Tableau to make the data easier to understand. More Vision news to come. Gain insights and news throughout the day by following #ExperianVision on Twitter.    

The traditional credit score has ruled the financial services space for decades, but it‘s clear the way in which consumers are managing their money and credit has evolved. Today’s consumers are utilizing different types of credit via various channels. Think fintech. Think short-term loans. Think cash-checking services and payday. So, how do lenders gain more visibility to a consumer’s credit worthiness in 2018? Alternative credit data has surfaced to provide a more holistic view of all consumers – those on the traditional file and those who are credit invisibles and emerging. In an all-new report, Experian dives into “The State of Alternative Credit Data,” providing in-depth coverage on how alternative credit data is defined, regulatory implications, consumer personas attached to the alternative financial services industry, and how this data complements traditional credit data files. “Alternative credit data can take the shape of alternative finance data, rental, utility and telecom payments, and various other data sources,” said Paul DeSaulniers, Experian’s senior director of Risk Scoring and Trended/Alternative Data and attributes. “What we’ve seen is that when this data becomes visible to a lender, suddenly a much more comprehensive consumer profile is formed. In some instances, this helps them offer consumers new credit opportunities, and in other cases it might illuminate risk.” In a national Experian survey, 53% of consumers said they believe some of these alternative sources like utility bill payment history, savings and checking account transactions, and mobile phone payments would have a positive effect on their credit score. Of the lenders surveyed, 80% said they rely on a credit report, plus additional information when making a lending decision. They cited assessing a consumer’s ability to pay, underwriting insights and being able to expand their lending universe as the top three benefits to using alternative credit data. The paper goes on to show how layering in alternative finance data could allow lenders to identify the consumers they would like to target, as well as suppress those that are higher risk. “Additional data fields prove to deliver a more complete view of today’s credit consumer,” said DeSaulniers. “For the credit invisible, the data can show lenders should take a chance on them. They may suddenly see a steady payment behavior that indicates they are worthy of expanded credit opportunities.” An “unscoreable” individual is not necessarily a high credit risk — rather they are an unknown credit risk. Many of these individuals pay rent on time and in full each month and could be great candidates for traditional credit. They just don’t have a credit history yet. The in-depth report also explores the future of alternative credit data. With more than 90 percent of the data in the world having been generated in just the past five years, there is no doubt more data sources will emerge in the coming years. Not all will make sense in assessing credit decisions, but there will definitely be new ways to capture consumer-permissioned data to benefit both consumer and lender. Read Full Report

Experian’s annual Vision Conference kicks off on Sunday to a sold-out crowd in Scottsdale, Ariz., bringing together some of the industry’s top thought leaders in financial services, technology, data science and information security. The conference, now in its 37th year, will run through Tuesday evening and showcase 55-plus breakout sessions and several all-star keynotes. “We take great pride in offering our guests the cutting-edge data and insights they need to keep advancing and evolving their own businesses,” said Reshma Peck, Experian’s senior vice president of marketing. “But what makes Vision really special is the networking and collaboration we witness throughout the conference – leaders connect and leave inspired – ready to make strides in a world that is evolving at breakneck speed.” A few session spotlights include: A look at data visualization tools and the ability to access anonymized credit data on 220 million U.S. credit consumers A deep dive into machine learning and artificial intelligence, showcasing how advancements in technology are improving credit risk scores and fraud detection Multiple breakouts on trends attached to Milliennials, Gen Z, the economy, automotive finance, small business performance and fraud How alternative credit data is providing deeper insights to uncover opportunities with both thin-file and thick-file credit consumers Digital credit advancements in mobile, voice and targeting. Beyond the traditional breakouts, featured speakers will punctuate each day. On Monday, Dr. Janet Yellen, former chair of the Federal Reserve, will deliver one of her first speeches since retiring her influential role in February 2018. On Tuesday, Gabby Giffords and Captain Mark Kelly will take the stage to talk about the importance of community, service and perseverance. Finally, NFL Quarterback Aaron Rodgers will share leadership lessons and sports highlights on Tuesday afternoon. An exclusive Tech Showcase will additionally run throughout the conference, delivering first-hand demos for participants to experience the latest in technology tools associated with fraud, voice and data analytics and access. Stats, insights and event highlights will be shared on multiple social media platforms throughout the three-day conference. Follow along with #ExperianVision.

Hispanics are not only the fastest growing minority in the United States, but according to the Hispanic Wealth Project’s (HWP) 2017 State of Hispanic Homeownership Report, they would prefer to own a home rather than rent. Hispanic Millennials—who are entering their home-buying years—are particularly eager for homeownership. This group is educated, are entrepreneurs and business owners that over index on mobile use, and 9 of 10 say wanting to own a home is part of their Hispanic DNA. For them, it’s not a matter of if but when and how they will become homeowners. An optimistic outlook is also a trait of Hispanic Millennials, who generally are more positive about the future than the average Millennial. They are also confident in their ability to handle different types of tasks that are part of their day-to-day lives. And at 35 percent, the share of bilingual Hispanic Millennials with a household income of $100,000 or more is consistent with U.S. Millennials as a whole Homeownership challenges Yet, despite their optimism and goal of homeownership, Hispanic homeownership at 46.2 percent lags when compared to the overall U.S. home ownership rate of 63.9 percent in 2017. There are signs the gap could narrow; Hispanics are the only demographic to have increased their rate of homeownership for the past three years. Moreover, the report shows Hispanics are responsible for 46.5 percent of net U.S. homeownership gains since 2000. Still, the 2017 State of Hispanic Homeownership Report notes that a shortage of affordable housing, prolonged natural disasters in states with a significant Hispanic presence (California, Florida, Texas), and uncertainty over immigration policy could hinder Hispanic homeownership growth. An opportunity to reach Hispanics It seems most Hispanic Millennials will strive for homeownership at some point in their life, as they believe owning a home is best for their family’s future. With no convincing needed, there is a tremendous opportunity for mortgage providers to look deeper into the reasons behind Hispanic Millennials’ optimism to determine how to insert themselves into that dynamic. Research highlights the importance of creating interest in financial advice and making this a potential means of gaining trust. Hispanic Millennials who gain a better understanding of the benefits—not only for them but for generations to come—and costs of owning a home may translate their confidence into action.

In my first blog post on the topic of customer segmentation, I shared with readers that segmentation is the process of dividing customers or prospects into groupings based on similar behaviors. The more similar or homogeneous the customer grouping, the less variation across the customer segments are included in each segment’s custom model development. A thoughtful segmentation analysis contains two phases: generation of potential segments, and the evaluation of those segments. Although several potential segments may be identified, not all segments will necessarily require a separate scorecard. Separate scorecards should be built only if there is real benefit to be gained through the use of multiple scorecards applied to partitioned portions of the population. The meaningful evaluation of the potential segments is therefore an essential step. There are many ways to evaluate the performance of a multiple-scorecard scheme compared with a single-scorecard scheme. Regardless of the method used, separate scorecards are only justified if a segment-based scorecard significantly outperforms a scorecard based on a broader population. To do this, Experian® builds a scorecard for each potential segment and evaluates the performance improvement compared with the broader population scorecard. This step is then repeated for each potential segmentation scheme. Once potential customer segments have been evaluated and the segmentation scheme finalized, the next step is to begin the model development. Learn more about how Experian Decision Analytics can help you with your segmentation or custom model development needs.

Marketers are keenly aware of how important it is to “Know thy customer.” Yet customer knowledge isn’t restricted to the marketing-savvy. It’s also essential to credit risk managers and model developers. Identifying and separating customers into distinct groups based on various types of behavior is foundational to building effective custom models. This integral part of custom model development is known as segmentation analysis. Segmentation is the process of dividing customers or prospects into groupings based on similar behaviors such as length of time as a customer or payment patterns like credit card revolvers versus transactors. The more similar or homogeneous the customer grouping, the less variation across the customer segments are included in each segment’s custom model development. So how many scorecards are needed to aptly score and mitigate credit risk? There are several general principles we’ve learned over the course of developing hundreds of models that help determine whether multiple scorecards are warranted and, if so, how many. A robust segmentation analysis contains two components. The first is the generation of potential segments, and the second is the evaluation of such segments. Here I’ll discuss the generation of potential segments within a segmentation scheme. A second blog post will continue with a discussion on evaluation of such segments. When generating a customer segmentation scheme, several approaches are worth considering: heuristic, empirical and combined. A heuristic approach considers business learnings obtained through trial and error or experimental design. Portfolio managers will have insight on how segments of their portfolio behave differently that can and often should be included within a segmentation analysis. An empirical approach is data-driven and involves the use of quantitative techniques to evaluate potential customer segmentation splits. During this approach, statistical analysis is performed to identify forms of behavior across the customer population. Different interactive behavior for different segments of the overall population will correspond to different predictive patterns for these predictor variables, signifying that separate segment scorecards will be beneficial. Finally, a combination of heuristic and empirical approaches considers both the business needs and data-driven results. Once the set of potential customer segments has been identified, the next step in a segmentation analysis is the evaluation of those segments. Stay tuned as we look further into this topic. Learn more about how Experian Decision Analytics can help you with your segmentation or custom model development needs.

In the credit game, the space is deep and diverse. From super prime to prime to subprime consumers, there is much to be learned about how different segments are utilizing credit and navigating the financial services arena. With 78 percent of full-time workers saying they live paycheck-to-paycheck and 71 percent of U.S. workers responding that they live in debt, it is not surprising a sudden life event can plunge a solid credit consumer from prime to subprime within months. Think lost job, divorce or unexpected medical bill. This population is not going away, and they are seeking ways to make ends meet and obtain finances for needs big and small. In many instances, alternative credit data can shed a light on new opportunities for traditional lenders, fintech players and those in the alternative financial space when servicing this specific consumer segment. In a new study, Clarity analyzed the trends and financial behavior of subprime loan users by looking at application and loan data in Clarity’s database, as well as overlaying VantageScore® credit score insights from Experian from 2013 to 2017. Clarity conducted this subprime trends report last year, but this is the first time it factored in VantageScore® credit score data, providing a different lens as to where consumers fall within the credit score tiers. Among the study highlights: Storefront single pay loan customers are becoming more comfortable with applying for online loans, with a growing percentage seeking installment products. For the first time in five years, online single pay lending (payday) saw a reduction in total credit utilization per customer. Online installment, on the other hand, saw an increase. While the number of online installment loans increased by 12 percent and the number of borrowers by only 9 percent, the dollar value grew by 30 percent. Online installment lenders had the greatest percentage increase in average loan amount. California and Texas remain the most significant markets for online lenders, ranking first and second for five years in a row due to population size. There has also been growth in the Midwest. The in-depth report additionally delves into demographics, indicators of financial stability among the subprime market and comparisons between storefront and online product use and performance. “Every year, there are more financial lenders and products emerging to serve this population,” said Andy Sheehan, president of Clarity Services. “It’s important to understand the trends and data associated with these individuals and how they are maneuvering throughout the credit spectrum. As we know, it is often not a linear journey.” The inclusion of the VantageScore® credit score showcased additional findings around prime versus subprime financial behaviors and looks at generational trends. Access Full Report

With 16.7 million reported victims of identity fraud in 2017 (that’s 6.64 percent of the U.S. population), it was another record year for the number of fraud victims. And as online and mobile transaction growth continued to significantly outpace brick-and-mortar growth, criminal attacks also grew rapidly. This past year, we saw an increase of more than 30 percent in e-commerce fraud attacks compared with 2016. As we’ve done over the past three years, Experian® analyzed millions of online transactions to identify fraud attack rates for both shipping and billing locations across the United States. We looked at several data points, including geography and IP address, to help businesses better understand how and where fraud is being perpetrated so they can better protect against it. The 2017 e-commerce fraud attack rate analysis shows: Delaware and Oregon continue to be the riskiest states for both billing and shipping fraud. Delaware; Oregon; Washington, D.C.; Florida; and Georgia are the top five riskiest states for billing fraud. Delaware, Oregon, Florida, New York and California are the top five riskiest states for shipping fraud, accounting for 50 percent of total fraud attacks. South El Monte, Calif., is the riskiest city overall, with an increase in shipping fraud of approximately 230 percent. Shipping fraud most often occurs near major airports and seaports due to reshippers and freight forwarders that receive domestic goods and often send them overseas. When a transaction originates from an international IP address, shipping fraud is 6.7 times likelier than the average, while billing fraud becomes 7.1 times likelier. Where is e-commerce fraud happening? Typically, the highest-risk areas for fraud are in ZIP™ codes and cities near large ports of entry or airports. These are ideal locations to reship fraudulent merchandise, enabling criminals to move stolen goods more effectively. Top 10 riskiest billing ZIP™ codes   Top 10 riskiest shipping ZIP™ codes 97252 Portland, OR 97079 Beaverton, OR 33198 Miami, FL 33122 Miami, FL 33166 Miami, FL 91733 South El Monte, CA 33122 Miami, FL 97251 Portland, OR 77060 Houston, TX 97250 Portland, OR 33195 Miami, FL 33166 Miami, FL 97250 Portland, OR 97252 Portland, OR 97251 Portland, OR 33198 Miami, FL 33191 Miami, FL 33195 Miami, FL 97253 Portland, OR 33192 Miami, FL Source: Experian.com Source: Experian.com     What’s more, many of the riskiest ZIP™ codes and cities experience a high volume of transactions originating from international IP addresses. In fact, the top 10 riskiest ZIP codes overall tend to experience fraudulent activity from numerous countries overseas, including China, Venezuela, Taiwan and Hong Kong, and Argentina. These fraudsters tend to implement complex fraud schemes that can cost businesses millions of dollars in fraud losses. Additionally, the analysis shows that traffic coming from a proxy server — which could originate from domestic and international IP addresses — is 74 times riskier than the average transaction. The problem The increase in e-commerce fraud attacks shouldn’t come as a huge surprise. The uptick in data breaches, merchants’ continued adoption of EMV-enabled terminals to protect against counterfeit card fraud and the abundance of consumer data on the dark web means that information is even more accessible to criminals. This enables them to open fraudulent accounts, take over legitimate accounts and submit fraudulent transactions. Another reason for the increase is automation. In the past, criminals needed a strong understanding of fraud methods and technology, but they can now bring down an entire organization by simply downloading a file and automating the submission of thousands of applications or transactions simultaneously. Since fraudsters need to make these transactions appear as normal as possible, they often leverage the cardholder’s actual billing details with slight differences, such as e-mail address or shipping location. Unfortunately, the mass availability of compromised data and the abundance of fraudsters makes it increasingly challenging to identify and separate legitimate customers from attackers across the country. Because of the widespread prevalence of fraud and data compromises, we don’t see billing fraud concentrated in just one region of the country. In fact, the top five states for billing fraud make up only about 18 percent of overall fraud attacks.   Top 5 riskiest billing fraud states   Top 5 riskiest shipping fraud states State Fraud attack rate State Fraud attack rate Delaware 93.4 Delaware 195.9 Oregon 86.1 Oregon 170.1 Washington, D.C. 46.5 Florida 45.1 Florida 39.2 New York 37.3 Georgia 31.5 California 32.6 Source: Experian.com Source: Experian.com   Prevention and protection need to be the priority As businesses get a better understanding of how and where fraud is perpetrated, they can implement proactive strategies to detect and prevent attacks, as well as protect payment information. While no one single strategy can address the entire scope of fraud, there are advanced data sets and technology — such as device intelligence, behavioral and physical biometrics, document verification and entity resolution — that can help businesses make better fraud decisions.   Fortunately, consumers can also play a major role in safeguarding their information. In addition to regularly checking their credit reports and bank/credit card statements for fraudulent activity, consumers can limit the data they share on social networking sites, where attackers often begin when perpetrating identity fraud.   While we continue to help both organizations and consumers limit their exposure to e-commerce fraud, we anticipate that criminals will attempt more sophisticated fraud schemes. But businesses can stay ahead of the curve. This comes down to having a keen understanding of how fraud is being perpetrated, as well as leveraging data, technology and multiple layered strategies to better recognize legitimate customers and make more precise fraud decisions. View our e-commerce fraud heat map and download the top 100 riskiest ZIP codes in the United States. Experian is a nonexclusive full-service provider licensee of the United States Postal Service®. The following trademark is owned by the United States Postal Service®: ZIP. The price for Experian’s services is not established, controlled or approved by the United States Postal Service.

Managing your customer accounts at the identity level is ambitious and necessary, but possible Identity-related fraud exposure and losses continue to grow. The underlying schemes have elevated in complexity. Because it’s more difficult to perpetrate “card present” fraud in the post–chip-and-signature rollout here in the United States, bad guys are more motivated and getting better at identity theft and synthetic identity attacks. Their organized nefarious response takes the form of alternate attack vectors and methodologies — which means you need to stamp out any detected exposure point in your fraud prevention strategies as soon as it’s detected. Experian’s recently published 2018 Global Fraud and Identity Report suggests two-thirds, or 7 out of every ten, consumers want to see visible security protocols when they transact. But an ever-growing percentage of them, fueled in no small part by those tech-savvy millennials, expect to be recognized with little or no friction. In fact, 42 percent of the surveyed consumers who stated they would do more transactions online if there weren’t so many security hurdles to overcome were — you guessed it — millennials. So how do you implement identity and account management procedures that are effective and, in some cases, even obvious while being passive enough to not add friction to the user experience? In other words, from the consumer’s perspective, “Let me know you know me and are protecting me but not making it too difficult for me when I want to access or manage my account.” Let’s get one thing out of the way first. This isn’t a one-time project or effort. It is, however, a commitment to the continued informing of your account management strategies with updated identity intelligence. You need to make better decisions on when to let a low-risk account transaction (monetary or nonmonetary) pass and when to double down a bit and step up authentication or risk assessment checks. I’d suggest this is most easily accomplished through a single, real-time access point to myriad services that should, at the very least, include: Identity verification and reverification checks for ongoing reaffirmation of your customer identity data quality and accuracy. Know Your Customer program requirements, anyone? Targeted identity risk scores and underlying attributes designed to isolate identity theft, first-party fraud and synthetic identity. Fraud risk comes in many flavors. So must your analytics. Device intelligence and risk assessment. A customer identity is no longer just their name, address, Social Security number and date of birth. It’s their phone number, email address and the various devices they use to access your services as well. Knowing how that combination of elements presents itself over time is critical. Layered passive or more active authentication options such as document verification, biometrics, behavioral metrics, knowledge-based verification and alternative data sources. Ongoing identity monitoring and proactive alerting and segmentation of customers whose identity risk has shifted to the point of required treatment. Orchestration, workflow and decisioning capabilities that allow your team to make sense of the many innovative options available in customer recognition and risk assessment — without a “throw the kitchen sink at this problem” approach that will undoubtedly be way too costly in dollars spent and good customers annoyed. Fraud attacks are dynamic. Your customers’ perceptions and expectations will continue to evolve. The markets you address and the services you provide will vary in risk and reward. An innovative marketplace of identity management services can overwhelm. Make sure your strategic identity management partner has good answers to all of this and enables you to future-proof your investments.

Identify your customers to spot fraud. It’s a simple concept, but it’s not so simple to do. In our 2018 Global Fraud and Identity Report, we found that consumers expect to be recognized and welcomed wherever and whenever they do business. Here are some other interesting findings regarding recognition and fraud: 66% of consumers surveyed appreciate seeing visible security when doing business online because it makes them feel protected. 75% of businesses want security measures that have little impact on consumers. More than half of businesses still rely on passwords as their top form of authentication. Even though you can’t see your customers face-to-face, the importance of being recognized can’t be overemphasized. How well are you recognizing your customers? Can you recognize your customers?

From malware and phishing to expansive distributed denial-of-service attacks, the sophistication, scale and impact of cyberattacks have evolved significantly in recent years. Mitigate risk by employing these best practices: Manage third-party risks. Regularly review response plans. Opt in to software updates. Educate, educate, educate. Organizations must adopt stronger, more advanced technical solutions to protect sensitive data. While enhanced technology is necessary for defending against data breaches, it can’t work independently. Learn more