Tag: account management

Do you know where your customers stand? Not literally, of course, but do you know how recent macroeconomic changes and their personal circumstances are currently affecting your portfolio? While refreshing your customers’ credit data quarterly works for some aspects of portfolio management, you need more frequent access to fresh data to quickly respond to risky customer behavior and new credit needs before your portfolio takes a hit. Use triggers to improve portfolio management Event-based credit triggers provide daily or real-time alerts about important changes in your customers’ financial situations. You can use these to manage risk by promptly responding to signs of changing creditworthiness or to prevent attrition by proactively reaching out to customers who are shopping for credit. Risk Triggers℠ and Retention Triggers℠ offer a real-time solution that can be customized to fit your needs for daily portfolio management. What are Risk Triggers? Experian’s Risk Triggers alert you of notable information, such as unfavorable utilization rate changes, delinquencies with other lenders and recent activity with high-interest, short-term loan products. This solution allows you to monitor how your customers manage accounts with other lenders to get ahead of potential risk on your book. You can use Risk Triggers to get daily insights into your customers’ activity — allowing you to quickly identify potentially risky behavior and take appropriate action to limit your exposure and losses. Types of Risk Triggers Choose from a defined Risk Triggers package that could help you identify high-risk customers, including: New trades Increasing credit utilization or balances over limit New collection accounts An account is charged-off A credit grantor closes an account New delinquency statuses (30 to 180 days past due) Consumers seeking access to short-term, high-risk financing options Bankruptcy and deceased events How to use Risk Triggers You can use the daily alerts from Risk Triggers to help inform your account management strategy. Depending on the circumstances, you might: Decrease credit limits Close or freeze accounts Accelerate payment requests Continue monitoring accounts for other signs of risk Spotlight on Experian’s Clarity Services events Included in Risk Triggers are events from Experian’s Clarity Services, which draw on expanded FCRA-regulated data* from a leading source of alternative financial credit data.  For example, you could get an alert when someone has a new inquiry from non-traditional loans. These triggers provide a broader view of the customer – offering added protection against risky behavior. What are Retention Triggers? Experian’s Retention Triggers can alert you when a customer improves their creditworthiness, is shopping for new credit, opens a new tradeline or lists property. Proactively responding to these daily alerts can help you retain and strengthen relationships with your customers — which is often less expensive than acquiring new customers. Types of Retention Triggers Choose from over 100 Retention Triggers to bundle, including: New trades New inquiries Credit line increases Property listing statuses Improving delinquency status Past-due accounts are brought current or paid off How to use Retention Triggers You can use Retention Triggers to increase lifetime customer value by proactively responding to your customers’ needs and wants. You might: Increase credit limits Offer promotional financing, such as balance transfers Introduce perks or rewards to strengthen the relationship Append attributes for improved decisioning  By appending credit attributes to Risk and Retention Trigger outputs, you can gain greater insight into your accounts.  Premier AttributesSM is Experian's core set of 2,100-plus attributes. These can quickly summarize data from consumers' credit reports, allowing you to more easily segment accounts to make more strategic decisions across your portfolio.  Trended 3DTM attributes can help you spot and understand patterns in a customer's behavior over time. Integrating trended attributes into a triggers program can help you identify risk and determine the next best action. Trended 3D includes more than 2,000 attributes and provides insights into industries such as bankcard, mortgage, student loans, personal loans, collections and much more.  By working with both triggers and attributes, you'll proactively review an account, so you can then take the next best action to improve your portfolio's profits. Customize your trigger strategy When you partner with Experian, you can bundle and choose from hundreds of Risk and Retention Triggers to focus on risk, customer retention or both. Additionally, you can work with Experian’s experts to customize your trigger strategy to minimize costs and filter out repetitive or unneeded triggers: Use cool-off periods Set triggering thresholds Choose which triggers to monitor Establish hierarchies for which triggers to prioritize Create different strategies for segments of your portfolio Learn more about Risk and Retention Triggers. Learn more *Disclaimer: “Alternative Financial Credit Data” refers to the use of alternative data and its appropriate use in consumer credit lending decisions, as regulated by the Fair Credit Reporting Act. Hence, the term “Expanded FCRA-Regulated Data” may also apply in this instance, and both can be used interchangeably.

Rising balances and delinquency rates are causing lenders to proactively minimize credit risk through pre-delinquency treatments. However, the success of these types of account management strategies depends on timely and predictive data. Credit attributes summarize credit data into specific characteristics or variables to provide a more granular view of a consumer’s behavior. Credit attributes give context about a consumer’s behavior at a specific point in time, such as their current revolving credit utilization ratio or their total available credit. Trended credit attributes analyze credit history data for consumer behavior patterns over time, including changes in utilization rates or how often a balance exceeded an account’s credit limit during the previous 12 months. In a recent analysis, we found that credit attributes related to utilization were highly predictive of future delinquencies in bankcard accounts, with many lenders better managing their credit risk when incorporating these attributes into their account management processes. READ: Find out how custom attributes and models can help you stay ahead of your competitors in the "Build a profitable portfolio with credit attributes" e-book. Using attributes to manage credit risk An enhanced understanding of credit attributes can be leveraged to manage risk throughout the customer lifecycle. They can be important when you want to: Improve credit strategies and efficiencies: Overlay attributes and incorporate them into credit policy rules, such as knockout criteria, to expand your lending population and increase automation without taking on more credit risk. Better understand customers' credit trends: Experian’s wide range of credit data, including trended credit attributes, can help you quickly understand how consumers are faring off-book for visibility into other lending relationships and if they’ll likely experience financial stress in the future. Credit attributes can also help precisely segment populations. For example, attributes can help you distinguish between two people who have similar credit risk scores — but very different trajectories — and will better determine who's the least risky customer. Predicting 60+ day delinquencies with credit attributes To evaluate the effectiveness of credit attributes during account review, we looked at 2.9 million open and active bankcard accounts to see which attributes best predicted the likelihood of an account reaching 60 days past due. For this analysis, we used snapshots of bankcard accounts that were reported in October 2022 and April 2023. Additionally, we analyzed the predictive power of over 4,000 attributes from Experian Premier AttributesSM and Trended 3DTM. Key findings Nine of the top 20 most predictive credit attributes were related to credit utilization rates. Delinquency-related attributes were predictive but weren’t part of the top 10. Three of the top 10 attributes were related to available credit. Turning insight into action While we analyzed credit attributes for account review, determining attribute effectiveness for other use cases will depend on your own portfolio and goals. However, you can use a similar approach to finding the predictive power of attributes. Once you identify the most predictive credit attributes for your population, you can also create an account review program to track these metrics, such as changes in utilization rates or available credit balances. Using Experian’s Risk and Retention Triggers℠ can immediately notify you of customers' daily credit activity to monitor those changes. Ongoing monitoring of attributes and triggers can help you identify customers who are facing financial stress and are headed toward delinquency. You can then proactively take steps to reduce your risk exposure, prioritize accounts, and modify pre-collections strategy based on triggering events. Experian offers credit attributes and the tools to use them Creating and managing credit attributes can be a complex and never-ending task. You need to regularly monitor attributes for performance drift and to address changing regulatory requirements. You may also want to develop new attributes based on expanding data sources and industry trends. Many organizations don’t have the resources to create, manage, and update credit attributes on their own. That’s where Experian’s 4,500+ attributes and tools can help to save time and money. Premier Attributes includes our core attributes and subsets for over 50 industries. Trended 3D attributes can help you better understand changes in consumer behavior and creditworthiness. Clear View AttributesTM offers insights from expanded FCRA data* that generally isn’t reported to consumer credit bureaus. You can easily review and manage your portfolios with Experian’s Ascend Quest™ platform. The always-on access allows you to request thousands of data elements, including credit attributes, risk scores, income models, segmentation data, and payment history, at any time. Use insights from the data and leverage Ascend Quest to quickly identify accounts that may be experiencing financial stress to limit your credit risk — and target others with retention and up-selling opportunities. Watch the Ascend Quest demo to see it in action, or contact us to learn more about Experian’s credit attributes and account review solutions. Watch demo Contact us

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

Inactive credit card accounts are defined as credit cards that were approved, opened and never used by account holders. They also include credit card accounts that were approved, opened, utilized by account holders but don’t have a balance for the last six to 12 months. Inactive credit card accounts pose several challenges and opportunities to lenders. A review of inactivity rates of credit card portfolios of credit unions across the United States as of March 2018 shows that inactive accounts comprise approximately 11 percent of total accounts on the books. The average credit line of inactive accounts is $8,700. (Data were extracted from Experian’s File One™ database using a sample of credit card accounts with credit unions across the United States as of March 2018. Sample size is approximately 600,000 credit card accounts.) Why do credit card accounts become inactive? One potential reason for inactivity is the convenience of securing a credit card during demand deposit account (“DDA”) opening processes. Lenders today may prequalify or preselect a customer quickly and efficiently for a credit card while a customer’s request to open a checking account or deposit account is being processed. Lenders benefit from this choreographed process with no to very minimal additional effort and time requested from the customer. The removal or significant decrease in friction costs — such as requiring additional customer information that previously would have deterred a customer from proceeding with the credit card application — gave lenders the advantage of processing more applications. (Schruder, Kyle. Feb. 26, 2018. The Top 5 Behavioural Economics Principles for Designers — Bridgeable blog. https://uxplanet.org/the-top-5-behavioural-economics-principles-for-designers-ea22a16a4020.)  Because of this convenience, some customers say yes to obtaining a credit card even though they had no intention of securing one in the first place. In behavioral economics, this may be identified as the “yeah, whatever” heuristic. People take the option with the least effort or the path of least resistance. (Thaler, Richard H. and Cass R. Sunstein. 2009. Nudge Improving Decisions About Health, Wealth, and Happiness. New York: Penguin Books. Pages 35, 85.) With low commitment to the credit card, customers who are approved will receive the new plastic and forget about it. An active credit card user may become inactive because the features, benefits and rewards are no longer relevant for their current financial needs. For example, a merchandise purchase or balance transfer promotion has expired and was paid off. Rewards are less attractive compared to other credit card offers in the marketplace. Lack of lender engagement activities may also lead to inactivity. For example, there are no marketing campaigns with promotions or special rewards offers. Revolving accounts with very low credit lines aren’t given credit line increases even though credit risk is acceptable, and accounts generate good interest income. The challenges to lenders with a large segment of inactive accounts include the direct cost of contingent liability. A percentage of unused credit lines is classified as contingent liability in the balance sheet. If contingent liability is reduced, then funds may be used to invest in more productive activities. In the absence of analytics and deep understanding of various customer behaviors in the portfolio, it can become costly for a lender when inactive accounts are included in all kinds of marketing campaigns. Marketing budgets are limited and ought to be used wisely to target segments with high expected returns and to achieve specific and well-defined objectives. Inactive accounts may also come with credit risk challenges. Some customers designate certain credit cards as emergency credit cards. That is, these cards will be used only in emergency situations where payment is needed immediately, and no other funds can be easily accessed at such time. Some situations are significantly more serious and may be accompanied by deep financial stress. During these times, inactive accounts are utilized and may result in collections or charge-offs. How can lenders handle the challenges of inactive accounts? An inactive account strategy that uses data and analytics is very helpful and prudent. Determine which accounts are never active or were inactive within the last 12 months. Identify which accounts pose elevated credit risk. There are various interventions that can be designed to improve card activation, which may include marketing campaigns and account management strategies including credit line options. If inactive accounts were included in marketing campaigns or account management strategies, then track the performance. These performance reports will provide the rationale and guidelines for further action, which may include account closure. Evaluate the multiple relationships of the customer with the lender and estimated cardmember value. Survey the inactive accounts and obtain feedback regarding the reasons for lack of card usage. Those insights will help identify areas for improvement and drive new initiatives. We have seen that inactive accounts aren’t a trivial component of a credit card portfolio. There are real costs and risks associated with inactive accounts. They also provide opportunities for improving card features and benefits and ways to continue engaging existing cardmembers.

Account management is a critical strategy during any type of economy (pro-cycle, counter-cycle, cycle neutral). In times like these, marked by economic volatility, it is an effective way to identify which parts of your portfolio and which of your consumers need the most attention. Check out this podcast where Cyndy Chang, Senior Director of Product Management, and Craig Wilson, Senior Director of Consulting, discuss the foundational elements of account management, best practices and use cases. Account management today looks very different than what it has been during over a decade of growth proactive; account review is a critical part of navigating the path forward. Questions that need to be addressed include: Do you have the right data? Are you monitoring between data loads? Are you reviewing accounts at the frequency that today’s changing demands require? Listen in on the discussion to learn more. Experian · Look Ahead Podcast

The COVID-19 pandemic has created unprecedented challenges for the utilities industry. This includes the need to plan for – and be prepared to respond to – changing behaviors and a sudden uptick in collections activities. As part of our recently launched Q&A perspective series, Mark Soffietti, Experian’s Senior Manager of Analytics Consulting and Tom Hanson, Senior Energy Consultant, provided insight on how utility providers can evolve and refine their collections and recovery processes. Check out what they had to say: Q: How has COVID-19 impacted payment behavior and debt collections? TH: Consumer payment behavior is changing. For example, those who paid as agreed, may not currently have the means to pay and are now distressed borrowers. Or those who were sloppy payers before the pandemic may now be defaulting on a more consistent basis. MS: As we saw with the last recession when faced with economic stress, consumer and commercial payment behavior changes based on their needs and current cash flow. For example, people prioritize their car, as they need it to get to and from work, so they’ll likely pay their auto bills on time. The same goes for their credit cards, which they need to make ends meet. We expect this will also be true with COVID-19. The commercial segment will face more dramatic and challenging circumstances, where complete or partial business closures and lack of federal relief could have severe ramifications. Q: What new restrictions have been put in place surrounding debt collection efforts and outbound calls? TH: To protect consumers who may be experiencing financial distress, most states have imposed new, stringent restrictions to prevent utilities from engaging in certain collections activities. Utilities are currently not charging any late payment fees and are instead structuring payment plans. Additionally, all outbound collections efforts have been suspended and there is fieldwork being executed of services for both commercial and consumer properties. As of now, consumer and commercial fieldwork will likely not commence until after the first year or when the winter moratorium concludes. MS: The new restrictions imposed upon collections activities will likely drive consumer payment behavior. If consumers know that their utilities (i.e. energy and water) will not be shut off if they miss a payment, they will make these bills less of a priority. This will dramatically increase the amount owed when these restrictions are lifted next year. Q: Can we predict how the utilities industry will fare post-COVID-19? TH: The volume of accounts in collections and eligible for disconnect will be overwhelming. Many utility providers fear the unpaid balances consumers and commercial entities accumulate will be nearly impossible to fit into a repayment schedule. Both analyzing internal payment segments and overlaying external factors may be the best way to optimize the most critical go-forward plan. MS: The amount of people who fall into collections is going to greatly increase and utility providers need to start planning for it now to weather the storm. They will need to use data, analytics and tools to help them optimize their tasks, so they can be more efficient with their resources. Like many other industries, the utilities sector will look to increasing digitalization of their processes and having less social interaction where possible. This could mean the need and drive for expediting current smart meter programs where possible to enable remote fieldwork to assist in managing this unprecedented level of activity that is sure to overwhelm field operations (where allowed by state regulators). Q: What should utility providers be doing to plan for an uptick in collections activities post-COVID-19? TH: With regulatory mandated suspensions of collections activities for utility providers and self-selected reductions due to stay at home orders and staff protection, the backlog of payments, calls and inquiries once business resumes as normal is set to overwhelm existing capacity. More than ever, self-service options (text/web), Q&A and alternative communication methods will be needed to shepherd consumers through the collections process and minimize the strain on call center agents. Many utility providers are asking for external data points to segment their consumers by industry or by those whose employment would have been adversely impacted by COVID-19. MS: Utility providers should be monitoring consumer data in order to prepare for when they are able to collect. This will help them strategize the number of resources they will need in their call centers and out in the field performing shut off activities. Given that the rise in cases will be more volume than their call centers can handle, they will need to use their resources wisely and plan to use them efficiently when they are able to resume collections. Q: How can Experian help utility providers reduce collections costs and maximize recovery? TH: Experian can help revise collections tactics and segmentation strategies by providing insight on how consumers are paying other creditors and identifying new segmentation opportunities as we emerge from the freeze on collections activities. Collections cases will be complex, and many factors and constraints will need to balanced against changing goals, making optimization key. MS: Utilizing Experian’s credit data and models can help ensure that resources are being used efficiently (i.e. making successful calls). There is also a need to leverage ability to pay models as well as prioritization models. By using these models and tools, utility providers can optimize their treatment strategies, reduce costs and maximize dollars collected. Learn more About our Experts: Tom Hanson, Senior Energy Consultant, Experian CEM, North America Tom is a Senior Consultant within the Energy Vertical at Experian, supporting regulated energy companies throughout the U.S. He brings over 25 years of experience in the energy field and supports his clients throughout the customer lifecycle, providing expertise in ID verification, account treatment, fraud solutions, analytics, consulting and final bill/field optimization strategies and techniques. Mark Soffietti, Analytics Consulting Senior Manager, Experian Decision Analytics, North America Mark has over 15 years of experience transforming data into actionable knowledge for effective decision management. Mark’s expertise includes solution development for consumer and commercial lending across the credit spectrum – from marketing to collections.

One of the most difficult parts of combating fraud is the ability to distinguish between the variety of fraud types. To properly manage your fraud efforts, you need to be able to differentiate between first party fraud and third party fraud so you can determine the best treatment. After all, if you’re treating first party fraud as though it’s third party fraud, the customer you’re contacting for verification will give whatever information they need to in order to continue their criminal actions. So how do you verify each type of fraud without adding additional overhead or increasing the friction experienced by your customers? Combating Fraud During an Economic Downturn Particularly in times of economic uncertainty, the ability to detect and identify individual fraud types allows you to work to prevent them in the future. Through proper identification, you can also apply the correct treatments to maximize the effectiveness of your fraud response teams, since the treatment for first and third party fraud is different. During the economic upswing, first party fraud was a secondary concern. Businesses were easing friction to help continue growth. Now, the same customers that businesses thought would drive growth are hurting and unable to help offset the losses caused by bad actors. Now is the time to revisit existing fraud prevention and mitigation strategies to ensure that fraud is properly identified, and the correct treatments are applied. Introducing Precise ID® Model Suite Experian’s Precise ID Model Suite combines identity analytics with advanced fraud risk models to: Protect the entire customer journey again fraud – across account opening, login, maintenance and transactions Distinguish first-party, third-party, and synthetic identity fraud to determine the best next action Enable agility during changing market conditions Maintain regulatory compliance (including: KYC, CIP, GLBA, FCRA, FFIEC, PATRIOT Act, FACTA, and more) Improve overall fraud management strategies and reduce losses Precise ID Model Suite allows you to detect and distinguish types of fraud with a single call – enabling your business to maximize efficiency and eliminate redundancy across your fraud prevention teams. By accurately recognizing risk, and in particular, recognizing that first party fraud is in fact a type of fraud distinct from credit risk, you’re able to protect your portfolio and your customers. Learn more

The coronavirus (COVID-19) outbreak is causing widespread concern and economic hardship for consumers and businesses across the globe – including financial institutions, who have had to refine their lending and downturn response strategies while keeping up with compliance regulations and market changes. As part of our recently launched Q&A perspective series, Shannon Lois, Experian’s Head of DA Analytics and Consulting and Bryan Collins, Senior Product Manager, tackled some of the tough questions for lenders. Here’s what they had to say: Q: What trends and triggers should lenders be prepared to react to? BC: Lenders are still trying to figure out how to assess risk between the broader, longer-term impacts of the pandemic and the near-term Coronavirus Aid, Relief, and Economic Security (CARES) Act that extends relief funds and deferment to consumers and small businesses. Traditional lending processes are not possible, lenders will have to adjust underwriting strategies and workflows as they deploy hardship programs while complying with the Act. From a utilization perspective, lenders need to look for near-term trends on payments, balances and skipped payments. From an extension standpoint, they should review limits extended or reduced by other lenders. Critical trends to look for would be missed or late auto payments, non-traditional credit shopping and rental payment delinquencies. Q: What should lenders be doing to plan for an uptick in delinquencies? SL: First, lenders should make sure they have a complete picture of how credit risk and losses are evolving, as well as any changes to their consumers’ affordability status. This will allow a pointed refinement of their customer management strategies (I.e. payment holidays, changing customer to cheaper product, offering additional services, re-pricing, term amendment and forbearance management.) Second, given the increased stress on collection processes and regulations guidelines, they should ensure proper and prepared staffing to handle increased call volumes and that agency outsourcing and automation is enabled. Additionally, lenders should migrate to self-service and interactive communication channels whenever possible while adopting new segmentation schemas/scores/attributes based on fresh data triggers to queue lower risk accounts entering collections. Q: How can lenders best help their customers? SL: Lenders should understand customers’ profiles with vulnerability and affordability metrics allowing changes in both treatment and payment. Payment Holidays are common in credit card management, consider offering payment freezes on different types of credit like mortgage and secured loans, as well as short term workout programs with lower interest rates and fee suppression. Additionally, lenders should offer self-service and FAQ portals with information about programs that can help customers in times of need. BC: Lenders can help by complying with aspects of the CARES Act guidance; they must understand how to deploy payment relief and hardship programs effectively and efficiently. Data integrity and accuracy of loan reporting will be critical. Financial institutions should adjust their collection and risk strategies and processes. Additionally, lenders must determine a way to address the unbanked population with relief checks. We understand how challenging it is to navigate the changing economic tides and will continue to offer support to both businesses and consumers alike. Our advanced data and analytics can help you refine your lending processes and better understand regulatory changes. Learn more About Our Experts: Shannon Lois, Head of DA Analytics and Consulting, Experian Data Analytics, North America Shannon and her team of analysts, scientists, credit, fraud and marketing risk management experts provide results-driven consulting services and state-of-the-art advanced analytics, science and data products to clients in a wide range of businesses, including banking, auto, credit, utility, marketing and finance. Shannon has been a presenter at many credit scoring and risk management conferences and is currently leading the Experian Decision Analytics advisory board. Bryan Collins, Senior Product Manager, Experian Consumer Information Services, North America Bryan is a member of Experian's CIS product management team, focusing on the Acquisitions suite and our evolving Ascend Identity Services Platform. With more than 20 years of experience in the financial services and credit industries, Bryan has established strong partnerships and a thorough understanding of client needs. He was instrumental in the launch of CIS's segmentation suite and led product management for lender and credit-related initiatives in Auto. Prior to joining Experian, Bryan held marketing and consumer experience roles in consumer finance, business lending and card services.

Do you have 20/20 vision when it comes to the readiness of your organization? How financially healthy are your customers today? They are likely facing some challenges and difficult choices. Based on a study by the Center for Financial Services Innovation (CFSI), almost half of the US adult population - that’s 112.5 million - say they do not have enough savings to cover at least three months of living expenses. With debt rising and a possible recession on the horizon, it’s crucial to have a solid strategy in place for your organization. Here are three easy steps to help you prepare: Anticipate the recession before it arrives Gathering a complete view of your customers can be difficult if you have multiple systems, which can result in subjective, costly and inefficient processes. If you don’t have a full picture of your customers, it’s hard to understand their risk, behavior and ability to pay and to determine the most effective treatment decisions. Having the right data is only the first step. Using analytics to make sense of the data helps you better understand your customers at an individual level, which will increase recovery rates and improve the customer experience. Analytics can provide early-warning indicators that identify customers most likely to miss payments, predict future behavior, and deliver the best treatment option based on a customer’s specific situation or behavior. With a deeper understanding of at-risk customers, you can apply more targeted interventions that are specific to each customer, so you can be confident your collections process is individualized, efficient and fair. The result? A cost-effective, compliant process focused on retaining valuable customers and reducing losses.   What to look for: ✔ Know when customers are experiencing negative credit events ✔ View consumer credit trends that may not yet be visible on your own account base ✔ Watch for payment stress – understand the actual payment consumers are making. Is it changing? ✔ See individual trends and take action – are your customers sliding down to a lower score band? ✔ Understand how your client-base is performing within your own portfolio and with other organizations   Take immediate and impactful actions around risk mitigation and staffing Every interaction with consumers needs optimizing, from target marketing through to collections and recovery. Organizations that proactively modernize their business to scale and increase effectiveness before the next economic downturn may avoid struggling to address rising delinquencies when the economy corrects itself. This may improve portfolio performance and collection capabilities — significantly increasing recoveries, containing costs and sustaining returns. Identify underperforming products and inefficient processes by staff. Consider reassessing the data used and the manual processes required for making decisions. Optimize product pricing and areas where organizations or staff could automate the decision processes.   Areas to focus: ✔ Identity theft protection and account takeover awareness ✔ Improve underwriting strategy and automation ✔ Maximize profitability — drive spend, optimize approvals, line assignment and pricing ✔ Evaluate collection risk strategies and operational efficiencies   Design and deploy a strategy to be organizationally and technologically ready for change Communication is key in debt recovery. Failing to contact customers via their preferred channel can cause frustration and reduce the likelihood of recovery. Your customers are looking for a convenient and discreet way to negotiate or repay debt, and if you aren’t providing one, you’re incurring higher collections costs and lower recovery rates. With developments in the digital world, consumer interactions have changed. Most people prefer to communicate via mobile or online, with little to no human interaction. Behavioral analytics help to automate and decide the next best action, so you contact the right customer at the right time through the right channel. In addition, offering a convenient, discreet way to negotiate or repay debt can result in customers who are more engaged and more likely to pay. Online and self-service portals along with AI-powered chatbots use the latest technology to provide a safe and customer-centric experience, creating less time-consuming interactions and higher customer satisfaction. Your digital collections process is more convenient and less stressful for consumers and more profitable and compliant for you. Visualize the future... ✔ Superior customer service is embraced at the end of the customer life cycle as it is in the beginning ✔ Leverage data, analytics, software, and industry expertise to drive an automated collections process with fewer manual interventions ✔ Meet the growing expectation for digital consumer self-service by providing the ability to proactively negotiate and manage debt through preferred contact channels ✔ When economy and market conditions change for the worst, have the right data, analytics, software in place and be prepared to implement relevant collections strategies to remain competitive in the market   Don’t wait until the next recession hits. Our collaborative approach to problem solving ensures you have the right solution in place to solve your most complex problems and are ready for market changes. The combination of our data, analytics, fraud tools, decisioning software and consulting services will help you proactively manage your portfolio to minimize the flow of accounts into collections and modernize your collections and recovery processes. Learn More

The winter holiday festivities are underway, and when it comes to the local malls, the holiday spending spirit seems to have already been in place for weeks. The season for swiping (credit cards) has begun. Before many of them set out with holiday gift lists in tow, they may be setting their sights on new lines of credit – by adding to their artillery of plastic. With 477.6 million existing credit card accounts, what do these consumers look like? While we can all agree that the meaning behind winter holiday celebrations is not the act of spending and giving material gifts, the two have come to be synonymous. This year is anticipated to be no different. When asked to describe their anticipated spending for the holidays this year, a recent Mintel survey said 56% of respondents planned to spend the same amount as they did last year. Nearly a quarter of respondents (23%) said they planned to spend more than they did last year. The uptick in spending as the year rounds out is no news flash. It is engrained within the fiscal landscape of each year, arguably its own tradition. According to a recent Experian consumer survey, Americans plan to spend an average of almost $850 on holiday gifts this year. Given what we know of consumers – and ourselves – as increased spending is upon us, credit card openings and usage are also on the rise. In order to capitalize on fulfilling your consumers needs during this bustling time filled with shopping bags and loaded online carts, it’s important to know what consumers look for in a credit card. Want to attract those holiday shoppers? The key to getting your plastic in their wallet is rewards, rewards, rewards. 58% of consumers will select a credit card for its rewards – including cash back, gas rewards, and retail gift cards – according to recent Experian consumer survey research. Is your credit card program stacked with rewards-ready options? Now what? Go where your consumers are – and for many of them that means online. While traditional retailers are still preferred destinations for holiday shopping, online is increasingly becoming a preferred way of shopping. 90% of consumers plan to do holiday shopping online, according to a Mintel study. Online shopping trends and online credit card applications trends seem to go hand in hand, according to Mintel and Experian data. Whether your consumers are looking for deals, that adrenaline rush of waiting until the last minute, or a trip to just get away from it all, credit cards can help them get there. And while the hustle and bustle of the holidays are ramping up, following the holidays quickly comes the new year – another close to 12 months of consumer spending (not just the dollars spent during this festive season). Consumer behavior across the entire year can be the key to enhancing your marketing and account management strategies. By knowing how much your consumers spend on all the plastic in their wallets – think bank cards too – you can offer customized reward programs, create strategies to maximize wallet share and retain profitable customers. Learn more about the first commercially-available spend algorithm built from credit data and tap into your wallet share for each consumer. 1Mintel Comperemedia 2Experian consumer survey research

With the rapid growth in the number of online marketplace lenders , and projections the field will continue to grow in 2016, winning the race to greater revenue and profitability is key to survival. In 2014, online marketplace lenders issued loans totaling around $12 billion in the United States. In a recent report, Morgan Stanley said it expects the U.S. number to grow to $122 billion by 2020, and the global number will surpass $280 billion in the same time period. Investors fear growth in acquisition costs will erode profitability as more online marketplace lenders enter the market. And as portfolios grow, there will be a need for greater sophistication as it pertains to managing accounts. Online marketplace lenders use a variety of different models to generate revenue including charging interest, loan origination and other service fees. However, regardless of the model, there are typically three key levers all should monitor in order to increase their odds for a profitable and sustainable future. 1. Cost per Account (CPA) CPA is more than a simple calculation spreading marketing cost across new account volume. Rather, it is a methodical evaluation of individual drivers such as channel lead cost, success rates, identity verification and cost of marketing collateral. When measured and evaluated at the granular lever, it is possible to make the most informed strategic decisions possible. Marketplace lenders will have to go much deeper than simply evaluating lead costs, clicks, completed and accepted applications, and funding/activation including whether customers take the loan proceeds or use a revolving product. Don’t forget ID verification and the costs associated with risk mitigation and determining if the low-risk customers are deciding to apply elsewhere. In addition, take into account marketing costs including collateral and channel strategies including any broadcast media, direct mail, web and social media expenses. Evaluate results across various product types – and don’t forget to take into account web content and layout, which can impact all metrics. 2. First Pay Default (FPD) FPD is not a long-term loan performance measure, but it is a strong indicator of lead source and vintage quality. It will most closely correlate to long-term loan performance in short-term loans and non-prime asset classes. It is also a strong indicator of fraud. The high value of online loans, combined with the difficulty of verifying online applicants, is making online lenders a prime target for fraud, so it is essential to closely monitor FPD. Online lenders’ largest single cost category is losses from unpaid loans with fraud serving as a primary driver of that number. It is important to evaluate FPD using many of the same segments as CPA. Online lenders must ask themselves the tough questions. Is a low-cost lead source worthwhile? Did operational enhancements really improve the customer experience and credit quality? 3. Servicing Online account servicing is generally the least costly means of servicing customers, an obvious advantage for online marketplace lenders. However, a variety of factors must be considered when determining the servicing channels to use. These include avoidance of customer backlash and regulatory scrutiny, servicing channel effectiveness in providing feedback regarding product design and administration, servicing policies and marketing collateral. Already, we know the legal and regulatory landscape will evolve as policy makers assess the role of marketplace lending in the financial system, while a recent federal appeals court ruling increases the risk that courts could deem some loans void or unenforceable, or lower the interest rates on them. An effective customer complaint escalation policy and process must also be created and allow for situations when the customer is not “right.” Voice of the customer (VOC) surveys are an effective method of learning from the customer and making all levels of staff know the customer better, leading to more effective marketing and account servicing. Lastly, online lenders can’t ignore social media. They should be prepared for customers, especially millennials, to use it as a means to loudly complain when dissatisfied. But also remember that the same media can be an excellent medium for two-way engagement and result in creating raving fans. A Final Consideration As online marketplace lenders continue to come of age, they are likely to find themselves facing increased competition from incumbent consumer lenders, so optimizing for profitability will be essential. Assessing these three key areas regularly will help in that quest and establish their business for a sustainable future. For more information, visit www.experian.com/marketplacelending.

Account management fraud risks: I “think” I know who I’m dealing with… Risk of fraudulent account activity does not cease once an application has been processed with even the most robust authentication products and tools available.  These are a few market dynamics are contributing to increased fraud risk to existing accounts: -          The credit crunch is impacting bad guys too! Think it’s hard to get approved for a credit account these days? The same tightened lending practices good consumers now face are also keeping fraudsters out of the “application approval” process too. While that may be a good thing in general, it has caused a migratory focus from application fraud to account takeover fraud.  -          Existing and viable accounts are now much more appealing to fraudsters given a shortage of application fraud opportunities, as financial institutions have reduced solicitation volume. A few other interesting challenges face organizations with regards to an institution’s ability to minimize fraud losses related to existing accounts: -  Social engineering — the "human element" is inherent in a call center environment and critical from a customer experience perspective. This factor offers the opportunity for fraudsters to manipulate representatives to either gain unauthorized access to accounts or, at the very least, collect consumer and account information that may help them perpetrate fraud later. - Automatic Number Identification (ANI) spoofing — this technology allows a caller to alter the true displayable number from which he or she is calling to a falsely portrayed number. It's difficult, if not impossible, to find a legitimate use for this technology. However, fraudsters find this capability quite useful as they try to circumvent what was once a very effective method of positively authenticating a consumer based on a "good" or known incoming phone number. With ANI spoofing in play, many call centers are now unable to confidently rely on this once cost-effective and impactful method of authenticating consumers.