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As the world celebrates International Women\'s Day on March 8, we want to shine a light on a few of the female leaders who shape, inspire and grow Experian. From sales to strategy, to people management, big data and beyond, women are a driving force in every industry - and their stories deserve to be told. Throughout the week, meet some of the \"Women of Experian.\" Today, we feature Monica Peace, a sales leader who connects daily with some of the biggest players in financial services. Learn about her career journey, learnings and sources of inspiration as it pertains to leadership. What do you do at Experian? What’s a typical day like for you? I lead the sales team for the West Coast Preferred Channel. Our clients are comprised of key regional banks, fintechs, online lenders and indirect automotive lenders. One of the things I love about my job is that my days vary greatly depending on client or team needs and activities. Typical activities include internal meetings on aligning our solutions with go to market strategy, customizing solutions for some of our larger client needs, and ensuring our sales team have the training or tools to do their job effectively. Along with the internal activities there are weekly client calls/meetings to ensure I stay close to their immediate and long term needs, as well as continue to build on established relationships. When I’m not working from our corporate headquarters in Costa Mesa, I’m either visiting clients or working from my home office in Los Angeles. Being a woman in this space, what has been your greatest challenge? Biggest win? In my 25 years in the financial services industry, there have been many times when I’m on the other side of a negotiation with individuals or groups who are predominately male. When I started in my career, I would wear my heart on my sleeve and even throughout my career there have been many times when my passion for something reflected in the form of emotion. I have made a conscious effort to remove emotions from business dialogue. As an individual who is deeply invested in my work life, it has been an evolving process for me to find a way to balance my authentic self, who values personal connections with peers and clients, with an approach that also removes the “personal” from the process to keep the wins and losses objective. One of the deals I am most proud of was an over year-long negotiation with a global credit card issuer to merge their transaction data with the Experian credit data in 2006. The opportunity of blending transaction and credit data was somewhat visionary at the time. I learned a great deal about what it takes to sell a new concept internally and externally. I had the opportunity to work across many business units at Experian, which was a great platform for getting to know the organization and build my career in its early stages. It also gave me exposure to complex negotiations and confidence in my ability to identify and nurture strategic opportunities between large organizations. What are the most important values you demonstrate as a leader? Compassion, integrity, courage. I feel it is important to avoid making assumptions, come from a place of understanding, and offer kindness, even when situations can feel adversarial. I believe in the power of taking risks, and that most things that we aspire for reside on the other side of our fear. I approach each day with the attitude of doing the most important thing first, even if it is the thing you want to do the least. I believe it is my responsibility to help individuals understand what is possible through adversity, determination and goal setting. Who inspires you? One of the individuals who inspired me most in my lifetime, was and still is my father. Even though he is no longer alive, he was absolutely a mentor and role model for me personally and professionally. He was a dreamer and someone who took many risks, failed many times, and kept an optimistic attitude, even through a difficult illness. He had the gift of connecting people, making people laugh and captivating an audience with his humor and story-telling abilities. He started his career as a teacher, and then spent the majority in agricultural sales. He shared with me the reason he valued sales is that there is a direct correlation between your skill and work efforts and your rewards. He shared the importance of continuous personal growth and sharing your knowledge with others. He also demonstrated the value of building long term relationships, and along with that, the importance of doing the right thing, even when there is no direct benefit to you. Favorite authors/books? Elizabeth Gilbert “Big Magic” Tererai Trent “The Awakened Woman” Tali Sharot “The Optimism Bias” Check back to learn more about \"Women of Experian\" throughout the week.
As the world celebrates International Women\'s Day on March 8, we want to shine a light on a few of the female leaders who shape, inspire and grow Experian. From sales to strategy, to people management, big data and beyond, women are a driving force in every industry - and their stories deserve to be told. Throughout the week, meet some of the \"Women of Experian.\" Today, we feature Jennifer Schulz, group president of Experian\'s Health, Auto and Targeting businesses. Learn about her typical day, sources of motivation and perspectives on leadership and innovation. What do you do at Experian? What’s a typical day like for you? I’m Group President of Experian’s Health, Auto and Targeting businesses - definitely a diverse industry mix to manage. As such, no two days are alike, and that is one of the things I love most about my job. On some days I meet with clients or partners, and on others I dedicate my time to reviewing the progress of our growth strategies, or focusing on budget and risk topics. I love the variety of industries and topics that are involved in this job. It keeps things interesting. How do you motivate yourself and stay motivated? I stay motivated by remaining connected to my clients and employees. I\'m always striving to understand how our products and company have helped the businesses and people we serve. What are some patterns you’ve noticed over the years about women at work, and things they could be doing better to advance their careers? I once had the opportunity to listen to Indra Nooyi, CEO of Pepsi, and she said something that really resonated with me. I\'m paraphrasing, but basically she shared that women need to be more direct in their feedback with one another, always pushing each other to do better. Essentially, if you see a female (or male) colleague struggling or doing something that is undermining their impact (e.g. not speaking up in meetings) – reach out and help them. Give them that feedback in the moment so they can be more successful. Where do the great ideas come from in your organization? In all of the Experian\'s businesses, I’ve found the most consistent source of product ideas come from our clients. Our users provide great enhancement ideas, so we work to consistently capture that \"voice of customer\" feedback. With that said, I believe we have some of the most innovative employees as well. Every day, I see examples of our people thinking big and pushing ideas forward. What is one characteristic that you believe every leader should possess? Integrity. Check back to learn more about \"Women of Experian\" throughout the week.
As the world celebrates International Women\'s Day on March 8, we want to shine a light on a few of the female leaders who shape, inspire and grow Experian. From sales to strategy, to people management, big data and beyond, women are a driving force in every industry - and their stories deserve to be told. Throughout the week, meet some of the \"Women of Experian.\" Today, we feature Shannon Lois, a leader of our business and the senior vice president who meets with Experian internal and external clients of all sizes to understand their challenges around data, technology, risk and running a business. Read about her career journey, learnings and sources of inspiration as it pertains to leadership. What do you do at Experian? What’s a typical day like for you? I lead the consulting organization across Experian. We focus on bringing the value of industry and client expertise to the market and to our existing and prospective clients. We bring the business acumen to deliver all Experian solutions. I also lead go-to-market activities for Decision Analytics, creating market driven propositions and messaging for our internal and external clients. On a typical day, I am working with colleagues, business partners and clients, leading discussions across the Experian network to define and refine client solutions. That means lots of conversations about who we are, what we do and the value that consultants and Experian can bring to clients’ businesses. How do you motivate yourself and stay motivated? I have been motivated since I was a child in school by seeing a project or activity progress from its early stages to a successful completion. I’m a strong believer that hard work (personal or professional) pays off. I am driven by the satisfaction of everything from creating a delicious meal to a successful client delivery and seeing them use my team’s ideas to make their business better. I also enjoy watching my hand-selected team, who works just as hard as I do, create, develop and positively impact our clients, often with something that has never been done before. What are some patterns you’ve noticed over the years about women at work, and things they could be doing better to advance their careers? Women are steadily becoming more confident in their ability to manage their own success. While there have always been fewer women in the analytics and decisioning space, they are growing steadily stronger in assessing the value they contribute to their day-to-day work. The difference is evident as they bring new ideas and create unique, efficient ways of solving for client business problems. They are also asking for more opportunities, and the rewards that come with excelling and delivering on those initiatives. Confidence is key! There are many words of advice that I could offer (and that I constantly remind myself of), but the one that resonates the most is to understand the value you bring to each specific situation (day-to-day work, special project, new position) and don’t be afraid to own your success. What is one characteristic that you believe every leader should possess? I think being humble is critical. Everyone in the organization contributes in some way to the whole, and I have found that I can learn from them all. If you’re approachable and treat everyone with the dignity and respect they deserve, regardless of their position, it’s a huge benefit because people open up to you. Every day, I am challenged by others to think differently, strategically and tactically, and that helps me to be a better leader. What are your hobbies outside of work? I’m Italian and cooking is my passion! I have fond memories of helping my mother prepare fresh, authentic Italian food and gathering together for family meals. These are traditions I still carry on with my own family, and I love preparing traditional dishes like Roman gnocchi and homemade pasta. Check back to learn more about \"Women of Experian\" throughout the week.
“Who Moved My Cheese?” Perhaps you\'ve heard of this popular book, released in 1998. If you haven\'t, it\'s a quick read and one that describes four fictional characters - two mice and two \"little people\" - on their quest to hunt for cheese. On their journey, they have to assess their routines and consider change - that word that makes so many of us uncomfortable. I bring this up because it is no secret that the consumer has changed dramatically over the years. Technology, the need for personalization, the demand for speed. Yes, the consumer has changed for sure, and everyone seems to recognize this but collections professionals. Look at any financial institution and you will hear and see leaders talking about and executing on digital acquisition and account management strategies. After all, digital is the medium that consumers desire when interacting with their financial service providers. Marketers know this and most have adapted, but when it comes to collections, the industry seems to be fixated on utilizing the tactics of the past. Today, collectors largely rely on calling consumers and sending out dunning letters. Right Party Contact rates continue to decline, and with 50 percent of consumers lacking land lines, the contact rates are only going to get worse. I say all this because if you want to see success, you must change. Offering your past-due customers a digital experience will not only increase your collections performance and recoveries, but simultaneously improve your customer experience and reduce costs. This is a huge opportunity if collectors would just embrace a digital collections strategy. And let me note that having a payment portal is not a digital collections strategy. If that was the case, digital marketers would be done with just a simple website, and then they can wish their consumers will land on the site. A digital collections experience is much more. Why stay stuck in the past? Change is good, let someone else look for that old cheese.
Traditional credit attributes provide immense value for lenders when making decisions, but when used alone, they are limited to capturing credit behavior during a single moment of time. To add a deeper layer of insight, Experian® today unveiled new trended attributes, aimed at giving lenders a wider view into consumer credit behavior and patterns over time. Ultimately, this helps them expand into new risk segments and better tailor credit offers to meet consumer needs. An Experian analysis shows that custom models developed using Trended 3DTM attributes provide up to a 7 percent lift in predictive performance when compared with models developed using traditional attributes only. “While trended data has been shown to provide additional insight into a consumer’s credit behavior, lack of standardization across different providers has made it a challenge to gain those insights,” said Steve Platt, Experian’s Group President of Decision Analytics and Data Quality. “Trended 3D makes it easy for our clients to get value from trended data in a consistent manner, so they can make more informed decisions across the credit life cycle and, more importantly, give consumers better access to lending options.” Experian’s Trended 3D attributes help lenders unlock valuable insights hidden within credit reports. For example, two people may have similar balances, utilization and risk scores, but their paths to that point may be substantially different. The solution synthesizes a 24-month history of five key credit report fields — balance, credit limit or original loan amount, scheduled payment amount, actual payment amount and last payment date. Lenders can gain insight into: Changes in balances over time Migration patterns from one tradeline or multiple tradelines to another Variations in utilization and credit limits Changes in payment activity and collections Balance transfer and debt consolidation behavior Behavior patterns of revolving trades versus transactional trades Additionally, Trended 3D leverages machine learning techniques to evaluate behavioral data and recognize patterns that previously may have gone undetected. To learn more information about Experian’s Trended 3D attributes, click here.
Many data furnishers are experiencing increases in dispute rates. It’s a tough spot to be in. Data furnishers are not only obligated under the FCRA to investigate and respond to all consumer disputes – reviewing every Automated Consumer Dispute Verification – but they must also do so within less than 30 days. As the number of disputes rise, resources become taxed and the risk of not meeting Fair Credit Reporting Act (FCRA) obligations increases. Let’s face it, consumer disputes aren’t going away, but understanding the reported data and metrics behind disputes can help data furnishers minimize them and defend reporting strategies and processes. 5 Way to Uncover Data Inaccuracy 1. Gain perspective against the industry and peers. Depending on the industry you service, the general benchmarks for dispute rates can vary. It’s important to understand where you fall in regards to dispute rates. Are you trending high or low? As an annualized average, we’ve recently experienced the following industry dispute rates through the end of the year: However, industry averages are just the tip of the iceberg. Measurement against peers can provide a clearer picture of where you fall. Are you an outlier or on par? How do you respond in comparison to peers? Are you deleting the trade as the result of the dispute at a higher rate? This could be an indicator of a systemic problem that needs addressing. 2. Implement pre-submission quality checks. Once you know where you stand, make sure your data is accurate before it heads out the door and hits the consumer’s credit report. Implement manual checks against Metro 2 rules. Build SQL queries to perform your checks. Better yet, use data validation software to automatically identify, track and remediate errors before sending the file to the bureaus. These steps can catch disputes before they happen. 3. Review any data being rejected after submission. Even if your new reporting motto is ‘know before it goes’; once the data has been transmitted, you’ll still want to monitor data being rejected due to Metro 2® errors. When data is rejected that means the update you provided did not make it to file. This leaves room for disputes. Incorporating a robust review of all rejected data in a timely and detailed manner, with updates made before the next reporting period, can improve the accuracy of your data. 4. Audit to identify and correct any stale data on file. An audit for any stale data - which includes open accounts with a balance greater than zero that have not been updated recently - should be performed at least annually. Review, research and remediate any outdated data that could affect your customer, making it susceptible to a dispute. 5. Educate your customers. Why are your customers disputing? Are there common themes within your customer base? Often, a dispute can be eliminated before it happens, with some explanation on the way an account is reported. By providing proactive access to materials and resources that help demystify the credit reporting process, a potentially negative interaction can be turned into a positive learning opportunity, helping the overall customer experience. Learn more about data accuracy solutions.
Expert offers insights into turnkey big data access The data is out there – and there is a lot of it. In the world of credit, there are more than 220 million credit-active consumers. Bolt on insights from the alternative financial services space and that number climbs even higher. So, what can analysts do with this information? With technology and the rise of data scientists, there are certainly opportunities to dig in and explore. To learn more, we chatted with Chris Fricks, data and product expert, responsible for Experian’s Analytical Sandbox™. 1. With the launch of Experian’s all-new Ascend platform, one of the key benefits is full-file access to our Sandbox environment. What exactly can clients access and are there specific tools they need to dig into the data? Clients will have access to monthly snapshots of 12-plus years of the full suite of Experian scores, attributes, and raw credit data covering the full national consumer base. Along with the data access, clients can interact and manipulate the data with the analytic tools they prefer. For example, a client can log into the environment through a standard Citrix portal and land on a Windows desktop. From there, they can access applications like SAS, R, Python, or Tableau to interrogate the data assets and derive the necessary value. 2. How are clients benefiting from this access? What are the top use cases you are seeing? Clients are now able to speed analytic findings to market and iterate through the analytics lifecycle much faster. We are seeing clients are engaging in new model development, reject inferencing, and industry/peer benchmarking. One of the more advanced use cases is related to machine learning – think of artificial intelligence for data analytics. In this instance, we have tools like H2O, a robust source of data for users to draw on, and a platform that is optimized to bring it all together in a cohesive, easy-to-use manner. 3. Our Experian database has details on 220 million credit-active consumers. Is this data anonymized, and how are we ensuring sensitive details are secure? We use the data from our credit database, but we’ve assigned unique consumer-level and trade-level encrypted pins to ensure security. Once the encrypted PINs are assigned, they remain the same over time. Then all PII is scrubbed and everything is rendered de-identifiable from an individual consumer and lender perspective. Our pinning technique allows users to accurately track individual trades and consumers through time, but also prevents any match back to individual consumers and lenders. 4. I imagine having access to so much data could be overwhelming for clients. Is more necessarily better? You’re right. Access to our full credit file can be a lot to handle. While general users will not “actively” use the full file daily, statisticians and data scientists will see an advantage to having access to the larger universe. For example, if a statistician only has access to 10% of the Sandbox and wants to look at a specific region of the country, they may find their self in a situation with limited data that it is no longer statistically significant. By accessing the full file, they can sample down based on the full population from the region they are concerned with analyzing. 5. Who are the best-suited individuals to dig into the Sandbox environment and assess trends and findings? The environment is designed to serve the front-line analysts responsible for coding and analytics that gets reported out to various levels of leadership. It also enables the socialization of those findings with leadership, helping them to interact and give feedback on what they are seeing. Learn more about Experian’s Analytical Sandbox and request a demo.
Today’s consumer lending environment is more dynamic and competitive than ever, with renewed focus on personal loans, marketplace lending and the ever-challenging credit card market. One of the significant learnings from the economic crisis is how digging deeper into consumer credit data can help provide insights into trending behavior and not just point-in-time credit evaluation. For example, I’ve found consumer trending behavior to be very powerful when evaluating risks of credit card revolvers versus transactors. However, trended data can come with its own challenges when the data isn’t interpreted uniformly across multiple data sources. To address these challenges, Experian® has developed trended attributes, which can provide significant lift in the development of segmentation strategies and custom models. These Trended 3DTM attributes are used effectively across the life cycle to drive balance transfers, mitigate high-risk exposure and fine-tune strategies for customers near score cutoffs. One of the things I look for when exploring new trended data is the ability to further understand payment velocity. These characteristics go far beyond revolver and transactor flags, and into the details of consumer usage and trajectory. As illustrated in the chart, a consumer isn’t easily classified into one borrowing persona (revolver, transactor, etc.) or another — it’s a spectrum of use trends. Experian’s Trended 3D provides details needed to understand payment rates, slope of balance growth and even trends in delinquency. These trends provide strong lift across all decisioning strategies to improve your business performance. In recent engagements with lenders, new segmentation tools and data for the development of custom models is at the forefront of the conversation. Risk managers are looking for help leveraging new modeling techniques such as machine learning, but often have challenges moving from prior practices. In addition, attribute governance has been a key area of focus that is addressed with Trended 3D, as it was developed using machine learning techniques and is delivered with the necessary documentation for regulatory conformance. This provides an impressive foundation, allowing you to integrate the most advanced analytics into your credit decisioning. Alternative data isn’t the only source for new consumer insights. Looking at the traditional credit report can still provide so much insight; we simply need to take advantage of new techniques in analytics development. Trended attributes provide a high-definition lens that opens a world of opportunity.
It’s no secret. Consumers engage and interact with brands through a variety of channels, including email, direct mail, websites and mobile. And since most organizations work to keep the consumer experience at the core, they tend to invest in an omnichannel approach that caters to the consumer’s preferences. The lone exception may be during the collections process. Often, once an account falls behind on payment, the consumer experience falls behind with it. But should it? While many banks and financial institutions view the collections process merely as an opportunity to collect outstanding debt, the potential is much more. If treated effectively, the collections process can present an opportunity to develop a positive customer relationship that builds loyalty over time. If handled poorly, the collections process could cost an organization a number of lifetime customers. To correct this, banks and financial institutions need to implement the same omnichannel approach in the collections process as they do with every other consumer interaction. Collections can no longer be treated as a linear process that leads from one channel to the next. There needs to be a more personalized touch — communicating with consumers through preferred channels, contacting them at the most opportune times. Sound complex? Sure. But consider a recent Experian analysis that invited consumers to establish a nonthreatening dialogue with an online debt recovery system. The analysis revealed 21 percent of visits to an organization’s website were outside the traditional working hours of 8 a.m. to 8 p.m. Furthermore, of the consumers who committed to a repayment plan, only 56 percent did so in a single visit. Each consumer is different. So is each situation. And banks and financial institutions need to acknowledge those differences. Luckily, technology can address the complexities of an omnichannel and personalized approach. Platforms such as Experian’s PowerCurve® Collections enable banks and financial institutions to simplify the collections process for both the consumer and the organization. By treating the collections process the same as any other stage in the consumer journey, organizations have an opportunity to build a relationship. And to do so, banks and financial institutions need to leverage the data and technology at their disposal. If they do so appropriately, they’ll minimize their charge-offs and also create a lifetime customer. To learn more about leveraging the collections process to build customer loyalty, download our white paper Getting in front of the shift to omnichannel collections.
Juniper Research recently recognized Experian as a Fraud Detection and Prevention Market Leader in its Online Payment Fraud Whitepaper. Juniper also shared important market insights in the report. The transactional value of card-not-present fraud is estimated to reach $19.3 billion in 2022. Online payment fraud is anticipated to grow 13.7% annually from 2017 to 2022. Digital banking fraud should reach $7.9 billion by 2022. $50.9 billion is expected to be spent on fraud detection and prevention software between 2017 and 2022. Fraud’s not going away anytime soon. Protecting your organization and customers is the new cost of doing business. Don’t wait until 2022 to start protecting yourself. Read the report>
In 2017, 81 percent of U.S. Americans have a social media profile, representing a five percent growth compared to the previous year. Pick your poison. Facebook. Instagram. Twitter. Snapchat. LinkedIn. The list goes on, and it is clear social media is used by all. Grandma and grandpa are hooked, and tweens are begging for accounts. Factor in the amount of data being generated by our social media obsession – one report claims Americans are using 2,675,700 GB of Internet data per minute – and it makes some lenders wonder if social media insights can be used to assess credit risk. Can banks, credit unions and online lenders look at social media profiles when making a loan decision and garner intel to help them make a credit decision? After all, in some circles, people believe a person’s character is just as important as their income and assets when making a lending decision. Certainly, some businesses are seeing value in collecting social media insights for marketing purposes. An individual’s interests, likes and click-throughs reveal a lot about their lifestyle and potential brand linkages. But credit decisions are different. In fact, there are two key concerns when considering social media data as it pertains to financial decisions. There is that little rule called the Equal Credit Opportunity Act, which states credit must be extended to all creditworthy applicants regardless of race, religion, gender, marital status, age and other personal characteristics. A quick scan of any Facebook profile can reveal these things, and more. Credit applications do not ask for these specific details for this very reason. Social media data can also be manipulated. One can “like” financial articles, participate in educational quizzes and represent themselves as if they are financially responsible. Social media can be gamed. On the flip side, a consumer can’t manipulate their payment history. There is no question that data is essential for all aspects of the financial services industry, but when it comes to making credit decisions on a consumer, FCRA data trumps everything. In the consumer’s best interest, it is essential that credit data be both displayable and disputable. The right data must be used. For lenders, their primary goal is to assess a consumer’s stability, ability and willingness to pay. Today, social media can’t address those needs. It’s not to say that social media data can’t be used in the future, but financial institutions are still grappling with how it can be predictive of credit behavior over time. In the meantime, other sources of data are being evaluated. Everything from including on-time utility and rental payments, insights on smaller dollar loans and various credit attributes can help to provide a more holistic view of today’s credit consumer. There is no question social media data will continue to grow exponentially. But in the world of credit decisioning, the “like” button cannot be given quite yet.
The collections space has been migrating from traditional mail and outbound calls to electronic payment portals, digital collections and virtual negotiators. Now that collectors have had time to test virtual collections, we’ve collected some data points. Here are a few: On average, 52% of consumers who visit a digital site will proceed to a payment schedule if the right offer is made. 21% of the visits were outside the core hours of 8 a.m. to 8 p.m., an indication that traditional business hours don’t always work. Of the consumers who committed to a payment plan, only 56% did it in a single visit. The remaining 44% did so mostly later that day or on a subsequent day. As more financial institutions test this new virtual approach, we anticipate customer satisfaction and resolutions will continue to climb. Get your debt collections right>
Everyone loves a story. Correction, everyone loves a GOOD story. A customer journey map is a fantastic tool to help you understand your customer’s story from their perspective. Perspective being the operative word. This is not your perspective on what YOU think your customer wants. This is your CUSTOMER’S perspective based on actual customer feedback – and you need to understand where they are from those initial prospecting and acquisition phases all the way through collections (if needed). Communication channels have expanded from letters and phone calls to landlines, SMS, chat, chat bots, voicemail drops, email, social media and virtual negotiation. When you create a customer journey map, you will understand what channel makes sense for your customer, what messages will resonate, and when your customer expects to hear from you. While it may sound daunting, journey mapping is not a complicated process. The first step is to simply look at each opportunity where the customer interacts with your organization. A best practice is to include every department that interacts with the customer in some way, shape or form. When looking at those touchpoints, it is important to drill down into behavior history (why is the customer interacting), sociodemographic data (what do you know about this customer), and customer contact patterns (Is the customer calling in? Emailing? Tweeting?). Then, look at your customer’s experience with each interaction. Again, from the customer’s viewpoint: Was it easy to get in touch with you? Was the issue resolved or must the customer call back? Was the customer able to direct the communication channel or did you impose the method? Did you offer self-serve options to the right population? Did you deliver an email to someone who wanted an email? Do you know who prefers to self-serve and who prefers conversation with an agent, not an IVR? Once these two points are defined: when the customer interacts and the customer experience with each interaction, the next step is simply refining your process. Once you have established your baseline (right channel, right message, right time for each customer), you need to continually reassess your decisions. Having a system in place that allows you to track and measure the success of your communication campaigns and refine the method based on real-time feedback is essential. A system that imports attribute – both risk and demographic – and tracks communication preferences and campaign success will make for a seamless deployment of an omnichannel strategy. Once deployed, your customer’s experience with your company will be transformed and they will move from a satisfied customer to one that is a fan and an advocate of your brand.
Evolution of first-party fraud to third Third-party and first-party schemes are now interchangeable, and traditional fraud detection practices are less effective in fighting these evolving fraud types. Fighting this shifting problem is a challenge, but it isn’t impossible. To start, incorporate new and more robust data into your identity verification program and provide consistent fraud classification and tagging. Learn more>
It should come as no surprise that the process of trying to collect on past-due accounts has been evolving. We’ve seen the migration from traditional mail and outbound calls, to offering an electronic payment portal, to digital collections and virtual negotiators. Being able to get consumers who have past-due debt on the phone to discuss payments is almost impossible. In fact, a recent informal survey divulged a success rate of a 15% contact rate to be considered the best by several first-party collectors; most reported contact rates in the 8%-range. One can only imagine what it must be like for collection agencies and debt buyers. Perhaps, inviting the consumer to establish a non-threatening dialog with an online system can be a better approach? Now that collectors have had time to test virtual collections, we’ve collected some data points. Conversion rates, revisits, and time of day An analysis of several clients found that on average 52% of consumers that visit a digital site will proceed to a payment schedule if the right offer is made. 21% of the visits were outside the core hours of 8 a.m. to 8 p.m., an indication that consumers were taking advantage of the flexibility of reaching out at any time of the day or night to explore their payment and settlement options. The traditional business hours don’t always work. Here is where it really gets interesting, and invites a clear comparison to the traditional phone calls that collectors make trying to get the consumer to commit to a payment plan on the line. Of the consumers that committed to a payment plan, only 56% did it in a single visit. The remaining 44% that committed to payments did so mostly later that day, or on a subsequent day. This strongly suggests they either took time to check their financial status, or perhaps asked a friend or family to help with the payment. In other words, rather than refusing to agree to an instantaneous agreement pressured by a collector, the consumer took time to reflect and decide what was the best course of action to settle the amount due. On a similar note, the attrition rate of “Promises to Pay” were 24% lower using online digital solutions versus the traditional collector phone call. This would be consistent with more time to agree to a payment plan that could be met, rather than weakly agreeing to a collector phone call just to get the collector off the phone. Another possible reason for a lower attrition rate may be that a well-defined digital collection solution can send out reminders to consumers via email or text in advance of the next scheduled payment, so that the consumer can be reminded to have the funds available when the next payment hits their account. For accounts where settlement offers are part of the mix, a higher percentage of balances is being resolved versus the collection floor. In fact, the average payment improvement is 12% over what collectors tend to get on the collections floor. The reason for this significant change is unclear, but the suspicion is that a digital collection solution will negotiate stronger than a collector, who is often moving to the bottom of an acceptable range too soon. What\'s next? Further assessing the consumer’s needs and capabilities during the negotiation session will undoubtedly be a theme going forward. Logical next steps will include a “behind-the-scenes” look at the consumer’s entire credit picture to help the creditor craft an optimal settlement amount that both the consumer can meet, and at the same time optimizes recovery. Potential impact to credit scores will also come into the picture. Depending on where the consumer and his past-due debt is in the credit lifecycle, being able to reasonably forecast the negative impact of a missed payment can act as an additional argument for making a past-due or delinquent payment now. As more financial institutions test this new virtual approach, we anticipate customer satisfaction and resolutions will continue to climb.
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