Financial Services
Consumers want to pay less. This is true in retail and in lending. No big surprise, right? So in order for lenders to capitalize and identify the right consumers for their respective portfolios, they need insights. Lenders want to better understand what rates consumers have. They want to know how much interest their customers pay. They want to know if consumers within their portfolio are at risk of leaving, and they want visibility into new prospects they can market to in an effort to grow. Luckily, lenders can look to trade level fields to be in the know. These inferred data fields, powered by Trended Data, allow lenders to offer products and terms that serve two purposes: First, their use in response models and offer alignment strategies drive better performance, ROI and life-time value. As noted earlier, consumers want to pay less, so if they are offered a better rate or money-saving offer, they’re more likely to respond. Second, they ultimately save consumers money in a way that benefits each consumer’s unique financial situation- overall savings on interest paid over the life of the loan, or consolidation of other debt often combined for a lower monthly payment. These trade level fields allow lenders to dig into various trends and insights surrounding consumers. For example, Experian data can identify big spenders and transactors (those who pay off their purchases every month). Research reveals these individuals love to be rewarded for how they use credit, demanding rewards, airline miles or other goodies for the spending they do. They also really like to be rewarded with higher credit lines, whether they use the increased line or not. Fail to serve these transactors in the right way and lenders could be faced with lackluster performance in the form poor response rates, booking rates, activation rates and early attrition. Thus, a little trade level insight can go a long way in helping lenders personalize products, offers and anticipate future financial needs. Knowing the profitability of a customer across all of their accounts is important, and accessing this intelligence in a seamless way is ideal. The data exists. For lenders, it’s just a matter of unlocking it, making those small, but meaningful changes and keeping a pulse on the portfolio. Together, these strategies can help lenders keep their best customers and acquire new ones that stick around longer.
At the end of July, the Consumer Financial Protection Bureau (CFPB) took a significant step toward reforming the regulatory framework for the debt collection and debt buying industry by announcing an outline of proposals under consideration. The proposals will now be considered by a small business review panel before the CFPB announces a proposed rule for wider industry comment. The CFPB said its proposals will affect only third-party debt collectors pursuant to the Fair Debt Collection Practices Act (FDCPA). However, the CFPB signaled it may consider a separate set of proposals for first-party collectors. The collections industry has long been a focus of the CFPB. In 2012, the bureau designated larger market participants in the debt collections marketplace and placed some of these entities under supervision. In 2013, the CFPB released an Advanced Notice of Proposed Rulemaking covering collections. The focus on debt collection is fueled in part by the large number of consumer complaints it receives about the debt collection market (roughly 35% of total complaints). Moreover, the CFPB’s proposals build upon some of the regulatory and enforcement priorities that the CFPB and Federal Trade Commission have pursued for several years around data quality, consumer communication and disclosures. Here are some of the key takeaways for third party debt collectors from the CFPB’s proposals: Address data quality: Collectors would be required to substantiate claims that a consumer owes a debt in order to begin a collection. Collectors would also be required to pass on information provided by consumers in the course of collections activity. New Validation Notice and Statement of Rights: The CFPB’s draft outline would update the information provided to consumers through the FDCPA validation notice, as well as require disclosure of a consumer statement of rights. Changes to frequency of communications: Debt collectors would be limited to six emails, phone calls or mailings per week, including unanswered calls and voicemails. After reaching the consumer, the debt collector would be allowed either one contact or three attempted contacts per week. There would also be a waiting period of 30 days before contacting the family of a debtor who has died. New disclosures on “out of statute” debt and litigation: In the outline, CFPB proposes having debt collectors provide new disclosures to consumers regarding the possibility of litigation and whether the debt is beyond the statute of limitations. Waiting period before sending collection accounts to a consumer reporting agency: Reporting a person’s debt would be prohibited under the draft outline unless the collector has first communicated directly with the consumer about the debt. The CFPB will next hear comments from a panel of small businesses in the industry, complete an analysis of how its proposals would impact small businesses, and take written comments from the public. Following those steps, the agency will issue a proposed rule for comment.
As regulators continue to warn financial institutions of the looming risk posed by HELOCs reaching end of draw, many bankers are asking: Why should I be concerned? What are some proactive steps I can take now to reduce my risk? This blog addresses these questions and provides clear strategies that will keep your bank on track. Why should I be concerned? Just a quick refresher: HELOCs provide borrowers with access to untapped equity in their residences. The home is taken as collateral and these loans typically have a draw period from five to 10 years. At the end of the draw period, the loan becomes amortized and monthly payments could increase by hundreds of dollars. This payment increase could be debilitating for borrowers already facing financial hardships. The cascading affect on consumer liquidity could also impact both credit card and car loan portfolios as borrowers begin choosing what debt they will pay first. The breadth of the HELOC risk is outlined in an excerpt from a recent Experian white paper. The chart below illustrates the large volume of outstanding loans that were originated from 2005 to 2008. The majority of the loans that originated prior to 2005 are in the repayment phase (as can be seen with the lower amount of dollars outstanding). HELOCs that originated from 2005 to 2008 constitute $236 billion outstanding. This group of loans is nearing the repayment phase, and this analysis examines what will happen to these loans as they enter repayment, and what will happen to consumers’ other loans. What can you do now? The first step is to perform a portfolio review to assess the extent of your exposure. This process is a triage of sorts that will allow you to first address borrowers with higher risk profiles. This process is outlined below in this excerpt from Experian’s HELOC white paper. By segmenting the population, lenders can also identify consumers who may no longer be credit qualified. In turn, they can work to mitigate payment shock and identify opportunities to retain those with the best credit quality. For consumers with good credit but insufficient equity (blue box), lenders can work with the borrowers to extend the terms or provide payment flexibility. For consumers with good credit but sufficient equity (purple box), lenders can work with the borrowers to refinance into a new loan, providing more competitive pricing and a higher level of customer service. For consumers with good credit but insufficient equity (teal box), a loan modification and credit education program might help these borrowers realize any upcoming payment shock while minimizing credit losses. The next step is to determine how you move forward with different customers segments. Here are a couple of options: Loan Modification: This can help borrowers potentially reduce their monthly payments. Workouts and modification arrangements should be consistent with the nature of the borrower’s specific hardship and have sustainable payment requirements. Credit Education: Consumers who can improve their credit profiles have more options for refinancing and general loan approval. This equates to a win-win for both the borrower and lender. HELOCs do not have to pose a significant risk to financial institutions. By being proactive, understanding your portfolio exposure and helping borrowers adjust to payment changes, banks can continue to improve the health of their loan portfolios. Ancin Cooley is principal with Synergy Bank Consulting, a national credit risk management and strategic planning firm. Synergy provides a rangeof risk management services to financial institutions, which include loan reviews, IT audits, internal audits, and regulatory compliance reviews. As principal, Ancin manages a growing portfolio of clients throughout the United States.
Ten years after homeowners took advantage of a thriving real-estate market to borrow against their homes, many are falling behind on payments, potentially leaving banks with millions of dollars in losses tied to housing. Most banks likely have homeowners with home-equity lines of credit (HELOCs) nearing end-of-draw within their portfolio, as more than $236 billion remain outstanding on loans originated between 2004 and 2007. The reality is many consumers are unprepared to repay their HELOCs. In 2014, borrowers who signed up for HELOCs in 2004 were 30 or more days late on $1.8 billion worth of outstanding balances just four months after principal payments began, reported RealtyTrac. That accounts for 4.3 percent of the balance on outstanding 2004 HELOCs. In practice, this is what an average consumer faces at end-of-draw: A borrower has $100,000 in HELOC debt. During the draw period, he makes just interest-only payments. If the interest rate is 6 percent, then the monthly payment is $500. Fast forward 10 years to the pay-down period. The borrower still has the $100,000 debt and five years to repay the loan. If the interest rate is 6 percent, then the monthly payment for principal and interest is $1,933 – nearly four times the draw payment. For many borrowers, such a massive additional monthly payment is unmanageable, leaving many with the belief that they are unable to repay the loan. The Experian study also revealed consumer behaviors in the HELOC end-of-draw universe: People delinquent on their HELOC are also more likely to be delinquent on other types of debt. If consumers are 90 days past due on their HELOC at end of draw, there is a 112 percent, 48.5 percent and 24 percent increase in delinquency on their mortgage, auto loan and credit cards, respectively People with HELOCs at end-of-draw are more likely to both close and open other HELOCs in the next 12 months That same group is also more likely to open or close a mortgage in the next 12 months. Now is the time to assess borrowers’ ability to repay their HELOC, and to give them solutions for repayment to minimize their payment stress. Identify borrowers with HELOCs nearing end of term and the loan terms to determine their potential payment stress Find opportunities to keep borrowers with the best credit quality. This could mean working with borrowers to extend the loan terms or providing payment flexibility Consider the opportunities. Consumers who have the ability to pay may also seek another HELOC as their loan comes to an end or they may shop for other credit products, such as a personal loan.
Fraudsters invited into bank branches The days of sending an invitation in the mail have for the most part gone by the wayside. Aside from special invitations for weddings and milestone anniversaries, electronic and email invitations have become the norm. However, one major party planner has refused to change practices — banks inviting fraudsters into their banking centers. As a fraud consultant I have the privilege of meeting many banking professionals, and I hear the same issues and struggles over and over again. It’s clear that the rapid increase of fraudulent account-opening applications are top of mind to many. What the executives making policy don’t realize is they’re facing fraud because they’re literally inviting the fraudsters into their branches. Think I’m exaggerating? Let me explain. I often encounter bank policymakers who explain their practice of directing a suspicious person into a banking center. Yes, many banks still direct applicants who cannot be properly verified over the phone or online into their banking center to show proof of identity. Directing or inviting criminals into your bank instead of trying to keep them out is an outdated, high-risk practice — what good can possibly come of it? The argument I typically hear from non-fraud banking professionals: “The bad guys know that if they come into the bank we will have them on film.” Other arguments include that the bad guys are not typically bold enough to actually come into the banking center or that their physical security guards monitor high-traffic banking centers. But often that is where bank policies and employee training ends. Based on my years of experience dealing with banks of all sizes, from the top three global card issuers to small regional banks, let me poke a few holes in the theory that it is a good deterrent to invite perpetrators into your banking center. Let’s role-play how my conversation goes: Me: “When an underwriter with limited fraud training making the decision to direct a suspicious applicant into a banking center, what is the policy criteria to do so?” Bank policymaker: (typical response) “What do you mean?” Me: “What high-risk authentication was used by the underwriter to make the decision to extend an invitation to a high-risk applicant to come into the banking center? If the applicant failed your high-risk authentication questions and you were not able to properly identify them, what authentication tools do the branch managers have that the underwriters do not?” Bank: “Nothing, but they can usually tell when someone is nervous or seems suspicious.” Me: “Then what training do they receive to identify suspicious behaviors?” (You guessed it …) Bank: “None.” (I then switch to the importance of customer experience.) Me: “How do you notify the banking center in advance that the suspicious applicant was invited to come in to provide additional verification?” Bank: “We do not have a policy to notify the banking center in advance.” Me: “What is considered acceptable documentation? And are banking center employees trained on how to review utility statements, state ID cards, drivers’ licenses or other accepted media?“ Bank: “We do not have a list of acceptable documentation that can be used for verification; it is up to the discretion of the banking center representative.” Me: “How do you ensure the physical safety of your employees and customers when you knowingly invite fraudsters and criminals into your banking center? How do you turn down or ask the suspicious person to leave because they do not have sufficient documentation to move forward with the original application for credit? If a suspicious person provides your employee with a possible stolen identification card, is that employee expected to keep it and notify police or return it to the applicant? Are employees expected to make a photocopy of the documentation provided?” The response that I usually receive is, “I am not really sure.” I hope by now you are seeing the risk of these types of outdated practices on suspicious credit applications. The fact is that technology has allowed criminals to make fairly convincing identification at a very low cost. If employees in banking centers are not equipped, properly trained, and well-documented procedures do not exist in your fraud program — perhaps it’s time to reconsider the practice or seek the advice of industry experts. I have spent two decades trying to keep bad guys out of banks, but I can’t help but wonder — why do some still send open invitations to criminals to come visit their bank? If you are not yet ready to stop this type of bad behavior, at the very least you must develop comprehensive end-to-end policies to properly handle such events. This fraud prevention tactic to invite perpetrators into banks was adopted long before the age of real-time decisions, robust fraud scores, big data, decision analytics, knowledge-based authentication, one-time passcodes, mobile banking and biometrics. The world we bank in has changed dramatically in the past five years; customers expect more and tolerate less. If a seamless customer experience and reducing account-opening and first-party fraud are part of your strategic plan, then it is time to consider Experian fraud solutions and consulting.
Time heals countless things, including credit scores. Many of the seven million people who saw their VantageScores drop to sub-prime levels after suffering a foreclosure or short sale during the Great Recession have recovered and are back in the housing market. These Boomerang Buyers — people who foreclosed or short sold between 2007 and 2014 and have opened a new mortgage — will be an important segment of the real estate market in the coming years. According to Experian data, through June 2016 roughly 800,000 people had boomeranged, with Los Angeles, Phoenix, and Sacramento housing the most buyers. Some analysts believe more than three million Americans will become eligible for a home over the next three years. Are potential Boomerang Buyers a great opportunity to boost market share or a high risk for a portfolio? Early trends are positive. The majority of Boomerang Buyers who opened mortgages between 2011 and June 2016 are current on their debts. An Experian study revealed more than 29 percent of those who short sold have boomeranged, and just 1.5 percent are delinquent on their mortgage —falling below the national average of 2.8 percent. This group is also ahead of or even with the national average for delinquency on auto loans (1.2 percent vs. the national average of 2.2 percent), bankcards (3 percent vs. 4.3 percent) and retail (even at 2.7 percent). For those Boomerang Buyers who had foreclosed, the numbers are also strong. More than 12 percent have boomeranged, with just 3 percent delinquent on their mortgage. They also match or are below national average delinquency rates on auto loans (1.9 percent) and bankcards (4.1 percent), and have a slightly higher delinquency rate for retail (3.5 percent). Due to their positive credit behaviors, Boomerang Buyers also have higher VantageScores than before. On average, the overall non-boomerang group’s credit score sunk during a foreclosure but went up 10 percent higher than before the foreclosure, and Boomerang Buyers rose by nearly 14 percent. For people who previously had a prime credit score, their number dropped by nearly 5 percent, while those who boomeranged returned to the score they had prior to the foreclosure. By comparison, the overall non-boomerang and boomerang group saw their credit score drop during a short sale and increase more than 11 percent from before the short sale. For people who previously had prime credit, they dropped 2 percent while those who boomeranged were almost flat to where they were before the short sale. Another part of the equation is the stabilized housing market and relatively low loan-to-value (LTV) limits that lenders have maintained. In the past, borrowers most often strategically defaulted on their mortgages when their LTV ratios were well over 100 percent. So as long as lenders maintain relatively low LTV limits and the housing market remains strong, strategic default is unlikely to re-emerge as a risk.
Experian estimates card-to-card consumer balance transfer activity to be between $35 and $40 billion a year, representing a sizeable opportunity for proactive lenders seeking to grow their revolving product line. This opportunity, however, is a threat for reactive lenders that only measure portfolio attrition instead of working to retain current customers. While billions of dollars are transferred every year, this activity represents only a small percentage of the total card population. And given the expense of direct marketing, lenders seeking to capitalize on and protect their portfolio from balance transfer activity must leverage data insights to make more informed decisions. Predicting a consumer’s future propensity to engage in card-to-card balance transfers starts with trended data. A credit score is a snapshot in time, but doesn’t reveal deep insights about a consumer’s past balance transfer activity. Lenders that rely only on current utilization will group large populations of balance revolvers into one bucket – and many of these individuals will have no intention of transferring to another product in the near future. Still, balance transfer activity can be identified and predicted by utilizing trended data. By analyzing the spend and payment data over time to see when one (or multiple) trade’s payment approximately matches another trade’s spend, we have the logic that suggests there has been a card-to-card transfer. What most people don’t realize is that trended data is difficult to work with. With 24 months of history on five fields, a single trade includes 120 data points. That’s 720 data points for a consumer with six trades on file and 72,000,000 for a file with 100,000 records, not to mention the other data fields in the file. It’s easy to see why even the most sophisticated organizations become paralyzed working with trended data. While teams of analysts get buried in the data, projects drag, costs swell, and eventually the world changes as rates climb and fall. By the time the analysis is complete, it must be recalibrated. But there is a solution. Experian has developed powerful predictions tools that combine past balance transfer history, historical transfer amounts, current trades carried and utilized, payments, and spend. Combined, these data fields can help identify consumers who are most likely to transfer a balance in the future. With Experian’s Balance Transfer Index the highest scoring 10 percent of consumers capture nearly 70 percent of total balance transfer dollars. Imagine the impact on ROI of reducing 90 percent of the marketing cost of your next balance transfer campaign and still reaching 70 percent of the balance transfer activity. Balance transfer activity represents a meaningful dollar opportunity for growth, but is concentrated in a small percentage of the population making predictive analytics key to success. Trended data is essential for identifying those opportunities, but financial institutions must assess their capabilities when it comes to managing the massive data attached. The good news is that regardless of financial institution size, solutions now exist to capture the analytics and provide meaningful and actionable insights to lenders of all sizes.
We are excited to announce that Experian Fraud and Identity Solutions is presenting at FinovateFall 2016! Finovate conferences showcase cutting-edge banking and financial technology in a unique demo-only format. Held twice a year, the conferences bring together the leaders from top financial institutions, fintech companies, investors from around the globe, and fintech media to share and promote the most innovative financial technology solutions. \"Experian’s Fraud and Identity Solutions is a leader in customer-centric identity and fraud solutions, providing fraud management solutions to some of the world’s largest brands in financial services, insurance, and retail,\" said Adam Fingersh, general manager and senior vice president of Fraud and Identity Solutions in North America. \"We will introduce our Fraud and Identity Solutions and promote our newly released CrossCore platform. CrossCore puts more control in the hands of fraud teams to adapt and deploy strategies that keep up with the pace of fraud while reducing burdens on IT and data science teams.\" Fingersh and John Sarreal, senior director of Fraud and Identity product management at Experian, are presenting the 7-minute demo focusing on the key CrossCore capabilities, and how CrossCore manages fraud and identity services through its flexible API; open, plug-and-play platform; and powerful workflow and strategy design capabilities. In Forrester’s 2016 “Vendor Landscape: Mobile Fraud Management”, Experian Fraud and Identity Solutions was cited as having the most capabilities and one of the highest estimated revenues in total fraud management in the market, between $200 million and $250 million. Join us for the event on September 8-9 in New York. Experian also has an exclusive 20% off discount code (Experian20FF16) to get even more savings! For more information on the event or to view videos of previous demos, please visit finovate.com.
Congress recently took several actions signaling a growing interest in regulatory issues surrounding the Fintech sector. This growing attention follows a number of recent inquiries by federal and state regulators into the business practices in the industry. Subcommittee takes a deep dive into Fintech and OML regulatory landscape In July, the House Subcommittee on Financial Institutions and Consumer Credit held a hearing entitled Examining the Opportunities and Challenges with Financial Technology (“Fintech”). Witnesses and lawmakers voiced optimism that online marketplace lending can help to expand access to capital for consumers and small businesses, but the hearing also focused on a growing schism as to whether new regulations or changes to the underlying framework is necessary to ensure consumers are protected. Some lawmakers and the witness from the American Banking Association expressed concerns that the Fintech and marketplace lenders may benefit from being outside of the supervisory scope of prudential regulators and the Consumer Financial Protection Bureau (CFPB). Witnesses from the marketplace lending industry argued that they are obligated to meet all of the same regulatory compliance requirements as traditional lenders. Rep. McHenry introduces package of Fintech bills aimed at spurring innovation In addition, Congressman Patrick McHenry (R-NC), a member of the House Republican Leadership team and the Vice Chairman of the House Financial Services Committee, introduced two bills this month aimed at spurring innovation in the Fintech industry. H.R. 5724, the Protecting Consumers’ Access to Credit Act of 2016, would clarify that federal law preempts a loan’s interest rate as valid when made. The bill is in response to the Supreme Court’s recent decision not to hear Madden v Midland, a case in which the Second Circuit court ruled that the National Bank Act does not have a preemptive effect after the national bank has sold or otherwise assigned the loan to another party. The reading of this law has created uncertainty for Fintech companies and the banks that partner with them. H.R. 5725, the IRS Data Verification Modernization Act of 2016, requires the IRS to automate the Income Verification Express Service process by creating an Application Programming Interface (API). The legislation is aimed at speeding up and improving the automation of the loan application process. In particular, it is aimed at streamlining the process by which lenders gain access to tax transcript data. Currently, lenders may require applicants to fill out IRS form “4506-T,” which gives the lender the right to access a summarized version of their tax transcript as part of the process to confirm certain data points on their application. According to industry reports, this manual process at the IRS takes two to eight days, creating unnecessary delays for Fintech companies and banks that rely on leveraging data and technology to make faster, informed decision for consumer and small business lending Both bills have been referred to the House Financial Services Committee for review.
New industry report highlights the convergence of business growth and fraud prevention strategies Experian has published its first annual global fraud report covering the convergence of growth strategies and fraud prevention. The report, Global Business Trends: Protecting Growth Ambitions Against Rising Fraud Threats, is designed as a guide for senior executives and fraud prevention professionals, offering new insights on how the alignment of strategies for business growth and fraud prevention can help a business grow revenues while managing risks in an increasingly virtual world. The report identifies five trends that businesses should assess and take action on to mitigate fraud and improve the customer experience in today\'s fast-paced, consumer-centric environment: Applying right-sized fraud solutions to reduce unnecessary customer disruption: It\'s time to move on from a one-size-fits-all approach that creates more customer friction than necessary. Instead, companies should apply fraud solutions that reflect the value and level of confidence needed for each transaction. This means right-sizing your fraud solutions to align with true fraud rates and commercial strategy. Having a universal view of the consumer is the core of modern fraud mitigation and marketing: Achieving a universal profile of consumer behavior — beyond the traditional 360-degree view — requires access to a combination of identity data, device intelligence, online behavior, biometrics, historical transactions and more, for consumer interactions not only with you, but across other businesses and industries as well. Companies that translate this knowledge and use it to identify consumers can distinguish a fraudster from a real customer more easily, building trust along the way. Expanding your view through a blended ecosystem: In addition to using your own first-party data sources, companies need to participate in a blended ecosystem, working across businesses and even industries. Fraudsters have access to more data than ever before, including data traditionally used to verify identities, and they use that data to create an entire digital profile. Therefore, you can no longer get to the digital interaction data you need by managing the process in a siloed manner. Achieving an expansive view of the universal consumer requires multiple data sources working together. Achieving agility and scale using service-based models: Today, more and more companies are choosing subscription-based systems rather than building in-house or implementing on-premise solutions. Continuous upgrades and the access to new risk logic that come with subscription models provide more agility and faster response to emerging threats, no matter how fast your volume grows or what products, channels or geographies you pursue. Future-proofing fraud solution choices: Companies need access to a wide variety of traditional and emerging technologies and information sources to fill in knowledge gaps and blind spots where fraudsters try to hide. The ability to modify strategies quickly and catch fraud faster while improving the customer experience is a critical aspect of fraud prevention moving forward. Bringing together these key trends, the report provides business leaders with the insight they need to fight fraud using the same consumer-focused approach currently being used to attract new customers and grow revenue. \"There is a persistent mindset that fraud loss is just the cost of doing business,\" said Steve Platt, global EVP, Fraud and Identity, Experian. \"But as fraudsters evolve, those losses are climbing, and the status quo is no longer effective or acceptable. We all need to be as forward-looking in fighting fraud as we are in business operations and marketing, and a real understanding of consumers is critical for success. We\'re talking about the convergence of business growth and fraud prevention, and we\'re pleased to provide the first report in the marketplace covering this topic.\" Download the full report here. The report also features an interactive Fraud Prevention Benchmark tool that companies can use to explore how these trends impact their business and how the performance of their approach measures up against industry practices. The report is relevant to functions spanning the enterprise, including C-suite executives such as chief marketing officers (CMOs), chief risk officers (CROs) and chief data officers (CDOs). The report focuses on business processes where fraud infiltrates, including new account opening, account access, money movement transactions, and emerging trends combating fraud, such as advanced fraud analytics. In each area, the report details how multiple business functions can apply responses to create business growth. Steve Platt added: \"We hear from our clients that they are most successful when CMOs along with CDOs and CROs all work together to understand the customer and develop fraud management solutions that create a better overall experience.\" Experian was recently cited in Forrester\'s 2016 Vendor Landscape: Mobile Fraud Management Solutions1 report and listed as having nine out of a possible 10 capabilities needed to combat mobile fraud. Experian was also identified as one of three leading players in the fraud detection and prevention space in a new study from Juniper Research.2 Experian applied best practices to create a global report on providing fraud management solutions that allow companies to maximize profitability while providing secure, hassle-free customer interactions. Learn more about Experian’s Fraud and Identity business. 1Vendor Landscape: Mobile Fraud Management Solutions, Forrester Research, Inc., June 2016. 2Online Payment Fraud: Key Vertical Strategies & Management 2016–2020, Juniper Research, June 2016.
All customers are not created equally – at least when it comes to one’s ability to pay. Incomes differ, financial circumstances vary and economic challenges surface. Lost job. Totaled car. Unplanned medical bills. Life happens. Research conducted by a recent Bankrate study revealed just 38 percent of Americans said they could cover an unexpected emergency room visit or a $500 car repair with available cash in a checking or savings account. It’s a scary situation for individuals, and also a source of stress for the lender expecting payment. So what are the natural moments for a lender to assess “ability to pay?” Moment No. 1: When prepping for a prescreen campaign and at origination. Many lenders leverage an income estimation model, designed to give an indication of the customer’s capacity to take on additional debt by providing an estimation of their annual income. Within the model, multiple attributes are used to calculate the income, including: Number of accounts Account balances Utilization Average number of months since trade opened Combined, all of these insights determine a customer’s current obligations, as well as an estimation of their current income, to see if they can realistically take on more credit. The right models and criteria on the front-end – whether used when a consumer applies for new credit or when a lender is executing a prescreen campaign to acquire new customers – minimizes the risk for default. It’s a no-brainer. Moment No. 2: When a customer is already on your books. As the Bankrate study mentioned, sudden life events can send some customers’ lives into a financial tailspin. On the other hand, financial circumstances can change for the better too. Aggressively paying down a HELOC, doubling down on a mortgage, or wiping out a bankcard balance could signal an opportunity to extend more credit, while the reverse could be the first signs of payment stress. Attaching triggers to accounts can give lenders indications on what to do with either scenario, helping to grow a portfolio and protect it. Moment No. 3: When an account goes south. While a lender hates to think any of its accounts will plummet into collections, sometimes, it’s inevitable. Even prime customers fall behind, and suddenly financial institutions are faced with looking at collections strategies. Where should they place their bets? You can’t treat all delinquent customer equally and work the accounts the same way. Collection resources can be wasted on customers who are difficult or impossible to recover, so it’s best to turn to predictive analytics and a collections scoring strategy to prioritize efforts. Again, who has the greatest ability to pay? Then place your manpower on those individuals where you can recover the most dollars. --- Assessing one’s ability to pay is a cornerstone to the financial services business. The quest is to find the sweet spot with a combination of application data, behavioral data and credit risk scoring analytics.
His car, more than 10 years old and not worth salvaging, was in the shop again. Time to invest in something new – or at least “new-ish.” He headed to a local dealership, selected a practical model and applied for financing. “We can’t give you a loan,” said the manager. “Your income is not high enough, but perhaps if you bring in a co-signer ...” Denied. Her college degree hung on the wall of her childhood bedroom. In the months since she celebrated graduation with family and friends, she landed a job, but not one providing enough income to cover rent, a car payment and her hefty student loan payments. “I didn’t realize my payments would be so high,” said the woman. “I don’t know how I’ll ever climb out from under this debt and start my life.” Stalled. His attempt at applying for a bankcard, much needed to begin the journey of establishing credit in the country, was met with failure. “We can’t find any credit history on you,” says the lender. “Try again in the future.” Invisible. These stories are all too common in America. A lack of financial education, coupled with a few poor choices, can derail an individual’s financial trajectory. More light has certainly been shone on the topic of financial education and the importance of making smart credit decisions from a young age, but there is no nationwide financial education program offered in schools, and many parents feel ill-equipped to handle the task. Consider a few of these numbers: 71 percent of college grads recently surveyed by Experian said they did not learn about credit and debt management in college, giving their schools an average grade of “C” when it comes to preparing them to manage credit and debt after college The latest \"State of Credit\" revealed the average debt per consumer is $29,093 39 percent of newlyweds say credit scores is a source of stress in their marriage Money management is tough, and we expect people to just figure it out. But clearly, that’s not working. So we need to think about the world of credit differently. As Experian says, we need to treat it as a skill. We need to practice and learn and adjust. As you get better at credit, it opens doors, creates opportunities, and enables people to live the lives they wish to live. Suddenly, you can get the car loan, move out, have access to credit cards, and manage it all responsibly. In other words, you claim financial health. On the other hand, if you don’t work at this skill, a lack of financial health ensues. Unruly amounts of debt, irregular income and sporadic savings create stress, resentment and pain. Increasingly, more financial institutions are boosting efforts to educate about credit. Schools are exploring curriculum to talk finances and inject real-life money management scenarios into everyday lessons. Millennials are seeking transparency around credit transactions. The more financially healthy consumers we have in this country, building credit skills, means overall economies will grow. So yes, financial health matters. It matters to individuals, to lending institutions, to retailers and to communities big and small. Building those credit skills is essential. Your health depends on it.
Trend: a general direction in which something is developing or changing. Last Update: January 2019 As a lender, it’s important to understand a consumer’s credit behavior and whether it is improving or deteriorating over time. Sure, you can pull a credit score at any moment, but it is merely a snapshot. Knowing a consumer’s credit information at a single point in time only tells part of the story. Two consumers can have the same credit score, but one consumer’s score could be moving up while another’s could be moving down. In order to understand the whole story, lenders need the ability to leverage trended data to assess a consumer’s credit behavior over time. Experian’s Trended Data is comprised of five fields of historical payment information over a 24-month period. It includes: Balance Amount Original Loan / Limit Amount Scheduled Payment Amount Actual Payment Amount Last Payment Date By analyzing historical payment information, lenders can determine if a consumer is consistently paying more than the minimum payment, has a demonstrated ability to pay and shows no signs of payment stress. It can conversely identify if a consumer is making only minimum payments and has increasing payment stress. Knowing how a consumer uses credit, or pays back debt over time, can help lenders offer the right products and terms to increase response rates, determine up-sell and cross-sell opportunities, prevent attrition, identify profitable customers, avoid consumers with payment stress and limit loss exposure. Using a consumer’s historical payment information provides a more accurate assessment of future behavior, which in turn helps effectively manage changes in risk, predicts in-the-market timing or balance transfer activity, and provides additional insight for other lending strategies. There is a catch though. In order for lenders to extract the benefits of trended data, they need to be able to analyze an enormous amount of data. Five fields of data across 24 months on every trade is huge and can be difficult for lenders with limited analytical resources to manage. For example, a single consumer with 10 trades on file would have upwards of 1,200 data points to analyze. Multiply that by a file of 100,000 consumers and you are now dealing with over 120,000,000 data points. Additionally, if lenders utilize the trended data in their underwriting processing and intend to use it to decline consumers, they will need to create their own adverse action reason codes to communicate to the consumer. Not all lenders are equipped to take on this level of effort. Still, there are solutions to assist lenders with managing and unlocking the power of trended data. Experian’s pre-calculated solutions utilizing trended data allow even the smallest lenders to leverage the most cutting-edge solutions in near plug-and-play environments to quickly and effectively action on the benefits of trended data, minus the hassles of analyzing it. Trended data, and the solutions built from it, allow lenders to effectively predict where a consumer is going based on where they’ve been. And really, that can make all the difference when it comes to smart lending decisions. Get Started Today
Is the speed of fraud threatening your business? Like many other fraud and compliance teams, your teams may be struggling to keep up with new business dynamics. The following trends are changing the way consumers do business with you: 35 percent year-over-year growth in mobile commerce More than $27 billion forecasted value of mobile payment transactions in 2016 45 percent of smartphone owners using a mobile device to make a purchase every month More than 1 billion mobile phone owners will use their devices for banking purposes by the end of 2015 In an attempt to stay ahead of fraud, systems have become more complex, more expensive and even more difficult to manage, leading to more friction for your customers. How extensive is this impact? 30 percent of online customers are interrupted to catch one fraudulent attempt One in 10 new applicants may be an imposter using breached data $40 billion of legitimate customer sales are declined annually because of tight rules, processes, etc. This rapid growth only reinforces the need for aggressive fraud prevention strategies and adoption of new technologies to prepare for the latest emerging cybersecurity threats. Businesses must continue their efforts to protect all parties’ interests. Fraudsters have what they need to be flexible and quick. So why shouldn’t businesses? Introducing CrossCore™, the first smart plug-and-play platform for fraud and identity services. CrossCore uses a single access point to integrate technology from different providers to address different dangers. When all your fraud and identity solutions work together through a single application program interface, you reduce friction and false positives — meaning more growth for your business. View our recent infographic on global fraud trends
What you give, you get. At least that is what popular philosophers claim. And if you think about it, this statement is also applicable to the world of data accuracy. As organizations of all sizes increasingly rely on data to interact with customers and create insights to drive strategy, it’s no secret bad data can quickly lead a company or financial institution down the wrong path, even landing them into regulatory troubles. A recent Experian Data Quality study found: Seventy-five percent of organizations believe inaccurate data is undermining their ability to provide an excellent customer experience. Sixty-five percent of organizations wait until there are specific issues with their data before they address and fix them. Fifty-six percent of organizations believe mistakes can be attributed to human error. For years, organizations have wanted good data simply for operational efficiencies and cost savings, but now a shift has taken place where businesses are using data for nearly every aspect of their organization. The majority of sales decisions are expected to be driven by customer data by 2020, with companies determined to turn data into actionable insight to find new customers, increase customer retention, better understand their needs, and increase the value of each customer. Additionally, the Fair Credit Reporting Act (FCRA) requires those contributing data to provide accurate and complete information to the credit reporting agencies. If they fail to meet accuracy obligations when reporting negative account histories to credit reporting companies, the result could be bureau action and fines. Organizations still deal with a high degree of inaccurate data because there are a number of challenges to maintaining it. Some of them are external forces, but many are internal challenges – most notably a reliance on reactive data management strategies. The biggest problem organizations face around data management today actually comes from within. Businesses get in their own way by refusing to create a culture around data and not prioritizing the proper funding and staffing for data management. Many businesses know they need to improve their data quality, but often have a hard time defining why an investment is needed in the current structure. Solutions exist to get in front of data accuracy challenges. DataArc 360 Powered by Experian Pandora, for example, is designed to check the consumer credit information provided by data furnishers prior to submission to credit bureaus. This allows data suppliers to take more of a proactive approach to ensuring the accuracy of information, that may result in fewer credit disputes and a more positive interaction between consumers and their credit. Creating a clear governance plan, and centralizing data management policies and policies can also clean up internal challenges and improve accuracy standards. The importance of data cannot be neglected, but again, the data has to be clean for it to matter. What you give is what you’ll get.
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