If you’ve been on the dating scene in the last few years, you’re probably familiar with ghosting. For those of you who aren’t, I’ll save you the trip to Urban Dictionary. “Ghosting” is when the person you’re dating disappears. No calls. No texts. No DMs. They just vanish, never to be heard from again. As troublesome as this can be, there’s a much more nefarious type of ghosting to be wary of – credit ghosting. Wait, what’s credit ghosting? Credit ghosting refers to the theft of a deceased person’s identity. According to the IRS, 2.5 million deceased identities are stolen each year. The theft often occurs shortly after someone dies, before the death is widely reported to the necessary agencies and businesses. This is because it can take months after a person dies before the Social Security Administration (SSA) and IRS receive, share, or register death records. Additionally, credit ghosting thefts can go unnoticed for months or even years if the family of the deceased does not check their credit report for activity after death. Opportunistic fraudsters check obituaries and other publicly available death records for information on the deceased. Obituaries often include a person’s birthday, address or hometown, parents’ names, occupation, and other information regularly used in identity verification. With this information fraudsters can use the deceased person’s identity and take advantage of their credit rating rather than taking the time to build it up as they would have to with other types of fraud. Criminals will apply for credit cards, loans, lines of credit, or even sign up for a cell phone plan and rack up charges before disappearing. Where did this type of identity theft come from? Credit ghosting is the result of a few issues. One traces back to a discrepancy noted by the Social Security’s inspector general. In an audit, they found that 6.5 million Social Security numbers for people born before June 16, 1901, did not have a date of death on record in the administration’s Numident (numerical identification) system – an electronic database containing Social Security number records assigned to each citizen since 1936. Without a date of death properly noted in the database, government agencies and other entities inquiring won’t necessarily know an individual is deceased, making it possible for criminals to implement credit ghosting schemes. Additionally, unreported deaths leave further holes in the system, leading to opportunity for fraudsters. When financial institutions run checks on the identity information supplied by a fraudster, it can seem legitimate. If the deceased’s credit is in good standing, the fraudster now appears to be a good customer—much like a synthetic identity—but now with the added twist that all of the information is from the same person instead of stitched together from multiple sources. It can take months before the financial institution discovers that the account has been compromised, giving fraudsters ample time to bust out and make off with the funds they’ve stolen. How can you defend against credit ghosting? Luckily, unlike your dating pipeline, there are ways to guard against ghosting in your business’ pipeline. Frontline Defense: Start by educating your customers. It’s never pleasant to consider your own passing or that of a loved one, but it’s imperative to have a plan in place for both the short and long term. Remind your customers that they should contact lenders and other financial institutions in the event of a death and continue monitoring those accounts into the future. Relatives of the deceased don’t tend to check credit reports after an estate has been settled. If the proper steps aren’t taken by the family to notify the appropriate creditors of the death, the deceased flag may not be added to their credit report before the estate is closed, leaving the deceased’s information vulnerable to fraud. By offering your customers assistance and steps to take, you can help ensure that they’re not dealing with the fallout of credit ghosting—like dealing with calls from creditors following up after the fraudster’s bust-out—on top of grieving. Backend Defense: Ensure you have the correct tools in place to spot credit ghosts when they try to enter your pipeline. Experian’s Fraud Shield includes high risk indicators and provides a deceased indicator flag so you can easily weed them out. Additionally, you can track other risk indicators like previous uses of a particular Social Security number and identify potential credit-boosting schemes. Speak to an Experian associate today about how you can increase your defenses against credit ghosting. Let's talk

According to Experian’s Q3 2019 State of the Automotive Finance Market report, used vehicle financing increased across all credit tiers.

    This article was updated on September 11, 2023. According to research, only 15% of American consumers have swapped out their go-to credit card in the past year and spend more money both online and offline with the card they designate as their top-of-wallet card. With over 578 million existing credit card accounts in the U.S., here are four top-of-wallet strategies to keep your card top of mind: Go digital In today’s digital world, the rules of customer engagement are changing – and card issuers must develop their digital capabilities, including identity resolution, to keep pace. Cardholders enjoy (and expect) the convenience of being able to apply for credit, track their purchases, make payments and view their monthly statements on-the-go. Another popular phenomenon? Digital wallets. Also known as e-wallets, these house digital versions of credit or debit cards and are stored in an app or a mobile device. Digital wallets can be used in conjunction with mobile payment systems, allowing customers to store digital coupons and pay for purchases with their smartphones. Financial institutions that digitally transform and adapt to these new dynamics can more efficiently service and retain their customers. Prioritize fraud prevention As customers’ affinity for e-commerce rises and cyberthieves grow smarter and more sophisticated, card issuers must improve their security measures and increase their focus on cutting-edge fraud management solutions. Not only should you be familiar with the many ways that criminals steal customer payment information, but you should ensure customers that you have multiple lines of defense against cyber threats. Many financial institutions have added digital “on/off switches,” allowing customers to remotely turn off their credit or debit card should they have misplaced it or suspect that they’re a victim of identity theft. With credit card fraud being the most prevalent in identity theft cases, failing to properly safeguard your customers impacts not only their experience but also your ability to grow revenue. Create a single customer view A single customer view is a consolidated, consistent and holistic representation of the data known by an organization about its customers. And according to Experian research, 68% of businesses are currently attempting to implement this type of strategy. By achieving a consolidated customer view, you can attain better consumer insight and fully understand your cardmembers’ needs and buying preferences. Careful tracking of all customer interactions enables you to target more accurately and implement effective marketing strategies. Provide incentives According to Experian research, 58% of consumers select credit cards based on rewards. The top incentives when selecting a rewards card include cashback, gas rewards and retail gift cards. Rewarding loyalty with ongoing benefits goes a long way to encourage customers to keep your credit card top of wallet but it’s also important to figure out what works – and what doesn’t. Bonus tip: Optimize credit limit management Managing credit limits is just as important as setting optimal credit limits from the get-go. Consumer credit needs will evolve over time along with their income and ability to pay. The key here is being able to identify qualified customers who can take on higher spending limits and also have a need. Leveraging advanced analytics models and a proactive credit limit management strategy can help you uncover areas of opportunity to increase wallet share and push your card toward that coveted top-of-wallet spot — or remain there. We recommend reviewing your credit limits at a regular cadence, but especially ahead of periods of increased spending such as the holiday season. In today’s competitive marketplace, getting your credit card top of wallet isn’t easy. That’s why we’re here to help. Experian’s comprehensive view of consumer credit data and best-in-class account management solutions help you target higher-spending customers and promote top-of-wallet use. Learn more

Electric vehicles have 2.08 percent of total VIO share through September 30, 2019

The challenges facing today’s marketers seem to be mounting and they can feel more pronounced for financial institutions. From customizing messaging and offerings at an individual customer level, increasing conversion rates, moving beyond digital while keeping an eye on traditional channels, and more, financial marketers are having to modernize their approach to customer acquisition. The most forward-thinking financial firms are turning to customer acquisition engines to help them best build, test and optimize their custom channel targeting strategies faster than ever before. But what functionality is right for your company? Here are 5 capabilities you should look for in a modern customer acquisition engine. Advanced Segmentation It’s without question that targeting and segmentation are vital to a successful financial marketing strategy. Make sure you select a tool that allows for advanced segmentation, ensuring the ability to uncover lookalike groups with similar attributes or behaviors and then customize messages or offerings accordingly. With the right customer acquisition engine, you should be able to build filters for targeted segments using a range of data including demographic, past behavior, loyalty or transaction history, offer response and then repurpose these segments across future campaigns. Campaign Design With the right campaign design, your team has the ability to greatly affect customer engagement. The right customer acquisition engine will allow your team to design a specific, optimized customer journey and content for each of the segments you create. When you’re ready to apply your credit criteria to the audience to generate a pre-screen, the best tools will allow you to view the size of your list adjusted in real-time. Make sure to look for an acquisition engine that can do all of this easily with a drag and drop user experience for faster and efficient campaign design. Rapid Deployment Once you finalize your audience for each channel or offer, the clock starts ticking. From bureau processing, data aggregation, targeting and deployment, the data that many firms are currently using for prospecting can be at least 60-days. When searching for a modern customer acquisition engine, make sure you choose a tool that gives you the option to fetch the freshest data (24-48 hours) before you deploy. If you’re sending the campaign to an outside firm to execute, timing is even more important. You’ll also want a system that can encrypt and decrypt lists to send to preferred partners to execute your marketing campaign. Support Whether you have an entire marketing department at your disposal or a lean, start-up style team, you’re going to want the highest level of support when it comes to onboarding, implementation and operational success. The best customer acquisition solution for your company will have a robust onboarding and support model in place to ensure client success. Look for solutions that offer hands-on instruction, flexible online or in-person training and analytical support. The best customer acquisition tool should be able to take your data and get you up and running in less than 30 days. Data, Data and more Data Any customer acquisition engine is only as good as the data you put into it. It should, of course, be able to include your own client data. However, relying exclusively on your own data can lead to incomplete analysis, missed opportunities and reduced impact. When choosing a customer acquisition engine, pick a system that gives your company access to the most local, regional and national credit data, in addition to alternative data and commercial data assets, on top of your own data. The optimum solutions can be fueled by the analytical power of full-file, archived tradeline data, along with attributes and models for the most robust results. Be sure your data partner has accounted for opt-outs, excludes data precluded by legal or regulatory restrictions and also anonymizes data files when linking your customer data. Data accuracy is also imperative here. Choose a marketing and technology partner who is constantly monitoring and correcting discrepancies in customer files across all bureaus. The best partners will have data accuracy rates at or above 99.9%.

As consumers prepare for the next decade, we look at how we’re rounding out this year. The results? The average American credit score is 682, an eight-year high. Experian released the 10th annual state of credit report, which provides a comprehensive look at the credit performance of consumers across America by highlighting consumer credit scores and borrowing behaviors. And while the data is spliced to show men vs. women, as well as provides commentary at the state and generational level, the overarching trend is up. Even with the next anticipated economic correction often top of mind for financial institutions, businesses and consumers alike, 2019 was a year marked by more access, more spending and decreasing delinquencies. Things are looking up. “We are seeing a promising trend in terms of how Americans are managing their credit as we head into a new decade with average credit scores increasing two points since 2018 to 682 – the highest we’ve seen since 2011,” said Shannon Lois, Senior Vice President and Head of EAS, Analytics, Consulting & Operations for Experian Decision Analytics. “Average credit card balances and debt are up year over year, yet utilization rates remain consistent at 30 percent, indicating consumers are using credit as a financial tool and managing their debts responsibly.”   Highlights of Experian’s State of Credit report: 3-year comparison 2017 2018 2019   Average number of credit cards 3.06 3.04 3.07 Average credit card balances $6,354 $6,506 $6,629 Average number of retail credit cards 2.48 2.59 2.51 Average retail credit card balances $1,841 $1,901 $1,942 Average VantageScore® credit score[1, 2] 675 680 682 Average revolving utilization 30% 30% 30% Average nonmortgage debt[3] $24,706 $25,104 $25,386 Average mortgage debt $201,811 $208,180 $231,599 Average 30 days past due delinquency rates 4.0% 3.9% 3.9% Average 60 days past due delinquency rates 1.9% 1.9% 1.9% Average 90+ days past due delinquency rates 7.3% 6.7% 6.8%   In the scope of the credit score battle of the sexes, women have a four-point lead over men with an average credit score of 686 compared to 682. Their lead is a continued trend since 2017 where they’ve bested their male counterparts. According to the report, while men carry more non-mortgage and mortgage debt than women, women have more credit cards and retail cards (albeit they carry lower balances). Generationally, Generations X, Y and Z tend to carry more debt, including mortgage, non-mortgage, credit card and retail card, than older generations with higher delinquency and utilization rates. Segmented by state and gender, Minnesota had the highest credit scores for both men and women, while Mississippi was the state with the lowest average credit score for females and Louisiana was the lowest average credit score state for males.     As we round out the decade and head full-force into 2020, we can reflect on the changes in the past year alone that are helping consumers improve their financial health. Just to name a few: Experian launched Experian BoostTM in March, allowing millions of consumers to add positive payment history directly to their credit file for an opportunity to instantly increase their credit score. Since then, there has been over 13 million points boosted across America. Experian LiftTM was launched in November, designed to help credit invisible and thin-file consumers gain access to fair and affordable credit. Long-standing commitments to consumer education, including the Ask Experian Blog and volunteer work by Experian’s Education Ambassadors, continue to offer assistance to the community and help consumers better understand their financial actions. From what we can tell, this is just the beginning. “Understanding the factors that influence their overall credit profile can help consumers improve and maintain their financial health,” said Rod Griffin, Experian’s director of consumer education and awareness. “Credit can be used as a financial tool. Through this report, we hope to provide insights that will help consumers make more informed decisions about credit use as we prepare to head into a new decade.” Learn more 1 VantageScore® is a registered trademark of VantageScore Solutions, LLC. 2 VantageScore® credit score range is 300 to 850. 3 Average debt for this study includes all credit cards, auto loans and personal loans/student loans.

It’s December, and if you’re like most credit union leaders, your strategic plan is distributed, and the 2020 budget is approved. Before you know it, you and your team will be off and running to pursue the New Year’s goals. Another thing most of us have in common is a strategic membership growth priority. New members are needed to help us take loan and deposit growth to the next level. Specifically, who are you looking for? It’s surprising how many credit union leaders have a difficult time clarifying their ideal member(s). They usually come up short after they have called out younger borrowers, active checking account users, prime credit, middle income, homeowners, etc. The reality is in today’s competitive market, these general audiences are not definitive enough. Many then go to market with a limited universe that is too generic to be highly effective. Savvy marketers have a much deeper understanding of who they are reaching and why. First, they have clearly defined the ideal member i.e. product profitability, relationship profitability, referrals, how they access the credit union, etc. Second, they use data, analytics and demographic segmenting to refine their search further to reveal the ideal member. They leverage information to understand what drives the potential members decision making. They understand that every potential member does not live the same type of life. They segment markets into groups to understand their shared values and life experiences. These segments include geographic, demographic, financial behavior, and motivation that includes psychographics and social values. Thus, armed with this information, they align the consumer’s needs with the credit union’s products, purpose and strategic goals. This clarity allows them to invest their marketing dollars for the best possible result. Most credit unions would identify “younger borrowers” as a desired member, so we’ve laid out two examples of just how different this member can look. Ambitious Singles – is a demographic segment comprised of younger cutting-edge singles living in mid-scale, metro areas that balance work and leisure lifestyles. Annual Median income $75k - $100K Highly educated First time home buyers Professionals, upwardly mobile Channel preferences for engaging with brands (and their offers) is while watching or streaming TV, listening to their favorite radio apps or while browsing the web on their phones. They are also quite email receptive (but subject lines must be compelling) Families Matter Most – This segment is comprised of young middle-class families in scenic suburbs, leading family focused lives. Annual Median income $75K - $99K Have children 4-6 yrs. old Educated Homeowners Child-related purchases Credit revolver and auto borrowers (larger vehicles) Go online for banking, telecommuting and shopping Both segments represent younger borrowers with similar incomes, but they have different loan needs, lifestyle priorities and preferences for engaging with a marketing offer. These are just two examples of the segmentation data that is available from Experian. The segmentation solution provides a framework to help credit unions identify the optimal customer investment strategy for each member segment. This framework helps the credit union optimize their marketing between differentiating segments. For some segments the investment may be directed toward finding the ideal member. Others may be made to find depositors. While many credit unions don’t have infinite marketing budgets or analytical resources, segmentation help marketers more efficiently and effectively pursue the best member or develop member personas to better resonate with existing members. The feedback we have heard from credit union leaders is that the solution is the best segmentation tool they have seen. Learn more about it here. What your team is up against Today, credit unions face national competitors that are using state-of-the-art data analytics, first-rate technology and in-depth market segmentation to promote very attractive offers to win new members, deposits, checking accounts and loans. Their offers have a look, feel, message and offer that are relevant to the person receiving the offer. Here are a few recent “offer” examples that we have heard of that should give you pause: Fintech companies, like the Lending Club offering auto loan refinances (the offer provides an estimate of refinance interest savings). The ad we saw had an estimated monthly payment of $80. PayPal Cashback Mastercard® – with a $300 early use cash bonus and 3% cash back on purchases. High limit personal loans that take minutes to apply and to be funded. Banks acting alone or in partnership with a fintech to offer online checking accounts with new account opening bonuses ranging from $300-$600. and of course, Quicken® Mortgage promoting low rates and fast and seamless origination. These are just a few recent examples from thousands of offers that are reaching your ideal member. Besides offering great rates, cash back, low fees and seamless service – these offers are guided by robust data analytics and consumer segmentation to reach and engage a well-defined, ideal consumer. Why it matters The 2020 race is on. Hopefully your team has clarity of the member(s) they want to reach, access to robust data analytics, in depth consumer insights, reliable credit resources and marketing tools they will need to compete in the toughest financial market any of us have likely ever seen. If you’re afraid that you can’t afford the right tools when it comes to marketing, consider what the dealer fee is for purchasing an indirect auto loan. What if the 2% or more fee was reallocated to finding organic loan growth with consumers you’re more likely to build a relationship with? Or consider the cost of consistently marketing to the wrong consumer segments with the wrong message, at the wrong time and in the wrong channels. What if you could increase your market engagement rate from 5% to 10%? Perhaps the best strategic question is can you afford NOT to have the best tools that support future membership growth? If you don’t win your ideal member, somebody else will. Learn More About Scott Butterfield, CUDE, CCUE Principal, Your Credit Union Partner Scott Butterfield is a trusted advisor to the leaders of more than 170 credit unions located throughout the United States. A respected veteran of the CU Movement, he understands the challenges and opportunities facing credit unions today. Scott believes that credit unions matter, and that consumers and small businesses need credit unions to now more than ever.

Sometimes, the best offense is a good defense. That’s certainly true when it comes to detecting synthetic identities, which by their very nature become harder to find the longer they’ve been around. To launch an offense against synthetic identity fraud, you need to defend yourself from it at the top of your new customer funnel. Once fraudsters embed their fake identity into your portfolio, they become nearly impossible to detect. The Challenge Synthetic identity fraud is the fastest-growing type of financial crime in the United States. The cost to businesses is hard to determine because it’s not always caught or reported, but the amounts are staggering. According to the Aite Group, it was estimated to total at least $820 million in 2017 and grow to $1.2 billion by 2020. This type of theft begins when individual thieves and large-scale crime rings use a combination of compromised personal information—like unused social security numbers—and fabricated data to stitch together increasingly sophisticated personas. These well-crafted synthetic identities are hard to differentiate from the real deal. They often pass Know Your Customer, Customer Identification Program and other onboarding checks both in person and online. This puts the burden on you to develop new defense strategies or pay the price. Additionally, increasing pressure to grow deposits and expand loan portfolios may coincide with the relaxation of new customer criteria, allowing even more fraudsters to slip through the cracks. Because fraudsters nurture their fake identities by making payments on time and don’t exhibit other risk factors as their credit limits increase, detecting synthetic identities becomes nearly impossible, as does defending against them. How This Impacts Your Bottom Line Synthetic identity theft is sometimes viewed as a victimless crime, since no single individual has their entire identity compromised. But it’s not victimless. When undetected fraudsters finally max out their credit lines before vanishing, the financial institution is usually stuck footing the bill. These same fraudsters know that many financial institutions will automatically settle fraud claims below a specific threshold. They capitalize on this by disputing transactions just below it, keeping the goods or services they purchased without paying. Fraudsters can double-dip on a single identity bust-out by claiming identity theft to have charges removed or by using fake checks to pay off balances before maxing out the credit again and defaulting. The cost of not detecting synthetic identities doesn’t stop at the initial loss. It flows outward like ripples, including: Damage to your reputation as a trusted organization Fines for noncompliance with Know Your Customer Account opening and maintenance costs that are not recouped as they would be with a legitimate customer Mistakenly classifying fraudsters as bad debt write offs Monetary loss from fraudsters’ unpaid balances Rising collections costs as you try to track down people who don’t exist Less advantageous rates for customers in the future as your margins grow thinner These losses add up, continuing to impact your bottom line over and over again. Defensive Strategies So what can you do? Tools like eCBSV that will assist with detecting synthetic identities are coming but they’re not here yet. And once they’re in place, they won’t be an instant fix. Implementing an overly cautious fraud detection strategy on your own will cause a high number of false positives, meaning you miss out on revenue from genuine customers. Your best defense requires finding a partner to help you implement a multi-layered fraud detection strategy throughout the customer lifecycle. Detecting synthetic identities entails looking at more than a single factor (like length of credit history). You need to aggregate multiple data sets and connect multiple customer characteristics to effectively defend against synthetic identity fraud. Experian’s synthetic identity prevention tools include Synthetic Identity High Risk Score to incorporate the history and past relationships between individuals to detect anomalies. Additionally, our digital device intelligence tools perform link analyses to connect identities that seem otherwise separate. We help our partners pinpoint false identities not associated with an actual person and decrease charge offs, protecting your bottom line and helping you let good customers in while keeping false personas out. Find out how to get your synthetic identity defense in place today.

With the growing need for authentication and security, fintechs must manage risk with minimal impact to customer experience. When implementing tactical approaches for fraud risk strategy operations, keeping up with the pace of fraud is another critical consideration. How can fintechs be proactive about future-proofing fraud strategies to stay ahead of savvy fraudsters while maintaining customer expectations? I sat down with Chris Ryan, Senior Fraud Solutions Business Consultant with Experian Decision Analytics, to tap into some of his insights. Here’s what he had to say: How have changes in technology added to increased fraud risk for businesses operating in the online space? Technology introduces many risks in the online space. As it pertains to the fintech world, two stand out. First, the explosion in mobile technology. The same capabilities that make fintech products broadly accessible makes them vulnerable. Anyone with a mobile device can attempt to access a fintech and try their hand at committing fraud with very little risk of being caught or punished. Second, the evolution of an interconnected, digital ‘marketplace’ for stolen data. There’s an entire underground economy that’s focused on connecting the once-disparate pieces of information about a specific individual stolen from multiple, unrelated data breaches. Criminal misrepresentations are more complete and more convincing than ever before. What are the major market drivers and trends that have attributed to the increased risk of fraud? Ultimately, the major market drivers and trends that drive fraud risk for fintechs are customer convenience and growth. In terms of customer convenience, it’s a race to meet customer needs in real time, in a single online interaction, with a minimally invasive request for information. But, serving the demands of good customers opens opportunities for identity misuse. In terms of growth, the pressure to find new pockets of potential customers may lead fintechs into markets where consumer information is more limited, so naturally, there are some risks baked in. Are fintechs really more at risk for fraud? If so, how are fintechs responding to this dynamic threat? The challenge for many fintechs has been the prioritization of fraud as a risk that needs to be addressed. It’s understandable that fintech’s initial emphasis had to be the establishment of viable products that meet the needs of their customers. Obviously, without customers using a product, nothing else matters. Now that fintechs are hitting their stride in terms of attracting customers, they’re allocating more of their attention and innovative spirit to other areas, like fraud. With the right partner, it’s not hard for fintechs to protect themselves from fraud. They simply need to acquire reliable data that provides identity assurance without negatively impacting the customer experience. For example, fintechs can utilize data points that can be extracted from the communications channel, like device intelligence for example, or non-PII unique identifiers like phone and email account data. These are valuable risk indicators that can be collected and evaluated in real time without adding friction to the customer experience. What are the major fraud risks to fintechs and what are some of the strategies that Risk Managers can implement to protect their business? The trends we’ve talked about so far today have focused more on identity theft and other third-party fraud risks, but it’s equally important for fintechs to be mindful of first party fraud types where the owner of the identity is the culprit. There is no single solution, so the best strategy recommendation is to plan to be flexible. Fintechs demonstrate an incredible willingness to innovate, and they need to make sure the fraud platforms they pick are flexible enough to keep pace with their needs. From your perspective, what is the future of fraud and what should fintechs consider as they evolve their products? Fraud will continue to be a challenge whenever something of value is made available, particularly when the transaction is remote and the risk of any sort of prosecution is very low. Criminals will continue to revise their tactics to outwit the tools that fintechs are using, so the best long-term defense is flexibility. Being able to layer defenses, explore new data and analytics, and deploy flexible and dynamic strategies that allow highly tailored decisions is the best way for fintechs to protect themselves. Digital commerce and the online lending landscape will continue to grow at an increasing pace – hand-in-hand with the opportunities for fraud. To stay ahead of fraudsters, fintechs must be proactive about future-proofing their fraud strategies and toolkits. Experian can help. Our Fintech Digital Onboarding Bundle provides a solid baseline of cutting-edge fraud tools that protect fintechs against fraud in the digital space, via a seamless, low-friction customer experience. More importantly, the Fintech Digital Onboarding Bundle is delivered through Experian’s CrossCore platform—the premier platform in the industry recognized specifically for enabling the expansion of fraud tools across a wide range of Experian and third-party partner solutions. Click here to learn more or to speak with an Experian representative. Learn More About Chris Ryan:  Christopher Ryan is a Senior Fraud Solutions Business Consultant. He delivers expertise that helps clients make the most from data, technology and investigative resources to combat and mitigate fraud risks across the industries that Experian serves. Ryan provides clients with strategies that reduce losses attributable to fraudulent activity. He has an impressive track record of stopping fraud in retail banking, auto lending, deposits, consumer and student lending sectors, and government identity proofing. Ryan is a subject matter expert in consumer identity verification, fraud scoring and knowledge-based authentication. His expertise is his ability to understand fraud issues and how they impact customer acquisition, customer management and collections. He routinely helps clients review workflow processes, analyze redundancies and identify opportunities for process improvements. Ryan recognizes the importance of products and services that limit fraud losses, balancing expense and the customer impact that can result from trying to prevent fraud.

As the holiday shopping season kicks off, it’s prime time for fraudsters to prey on consumers who are racking up rewards points as they spend. Find out how fraud trends in loyalty and rewards programs can impact your business: Are you ready to prevent fraud this holiday season? Get started today

In today’s ever-changing and hypercompetitive environment, the customer experience has taken center-stage – highlighting new expectations in the ways businesses interact with their customers. But studies show financial institutions are falling short. In fact, a recent study revealed that 94% of banking firms can’t deliver on the “personalization promise.” It’s not difficult to see why. Consumer preferences have changed, with many now preferring digital interactions. This has made it difficult for financial institutions to engage with consumers on a personal level. Nevertheless, customers expect seamless, consistent, and personalized experiences – that’s where the power of advanced analytics comes into play. It’s no secret that using advanced analytics can enable businesses to turn rich data into insights that lead to confident business decisions and strategy development. But these business tools can actually help financial institutions deliver on that promise of personalization. According to an Experian study, 90% of organizations say that embracing advanced analytics is critical to their ability to provide an excellent customer experience. By using data and analytics to anticipate and respond to customer behavior, companies can develop new and creative ways to cater to their audiences – revolutionizing the customer experience as a whole. It All Starts With Data Data is the foundation for a successful digital transformation – the lack of clean and cohesive datasets can hinder the ability to implement advanced analytic capabilities. However,  89% of organizations face challenges on how to effectively manage and consolidate their data, according to Experian’s Global Data Management Research Benchmark Report of 2019. Because consumers prefer digital interactions, companies have been able to gather a vast amount of customer data. Technology that uses advanced analytic capabilities (like machine learning and artificial intelligence) are capable of uncovering patterns in this data that may not otherwise be apparent, therefore opening doors to new avenues for companies to generate revenue. To start, companies need a strategy to access all customer data from all channels in a cohesive ecosystem – including data from their own data warehouses and a variety of different data sources. Depending on their needs, the data elements can come from a third party data provider such as: a credit bureau, alternative data, marketing data, data gathered during each customer contact, survey data and more. Once compiled, companies can achieve a more holistic and single view of their customer. With this single view, companies will be able to deliver more relevant and tailored experiences that are in-line with rising customer expectations. From Personalized Experiences to Predicting the Future The most progressive financial institutions have found that using analytics and machine learning to conquer the wide variety of customer data has made it easier to master the customer experience. With advanced analytics, these companies gain deeper insights into their customers and deliver highly relevant and beneficial offers based on the holistic views of their customers. When data is provided, technology with advanced analytic capabilities can transform this information into intelligent outputs, allowing companies to optimize and automate business processes with the customer in mind. Data, analytics and automation are the keys to delivering better customer experiences. Analytics is the process of converting data into actionable information so firms can understand their customers and take decisive action. By leveraging this business intelligence, companies can quickly adapt to consumer demand. Predictive models and forecasts, increasingly powered by machine learning, help lenders and other businesses understand risks and predict future trends and consumer responses. Prescriptive analytics help offer the right products to the right customer at the right time and price. By mastering all of these, businesses can be wherever their customers are. The Experian Advantage With insights into over 270 million customers and a wealth of traditional credit and alternative data, we’re able to drive prescriptive solutions to solve your most complex market and portfolio problems across the customer lifecycle – while reinventing and maintaining an excellent customer experience. If your company is ready for an advanced analytical transformation, Experian can help get you there. Learn More

Article written by Melanie Smith, Senior Copywriter, Experian Clarity Services, Inc. It’s been almost a decade since the Great Recession in the United States ended, but consumers continue to feel its effects. During the recession, millions of Americans lost their jobs, retirement savings decreased, real estate reduced in value and credit scores plummeted. Consumers that found themselves impacted by the financial crisis often turned to alternative financial services (AFS). Since the end of the recession, customer loyalty and retention has been a focus for lenders, given that there are more options than ever before for AFS borrowers. To determine what this looks like in the current climate, we examined today’s non-prime consumers, what their traditional scores look like and if they are migrating to traditional lending. What are alternative financial services (AFS)? Alternative financial services (AFS) is a term often used to describe the array of financial services offered by providers that operate outside of traditional financial institutions. In contrast to traditional banks and credit unions, alternative service providers often make it easier for consumers to apply and qualify for lines of credit but may charge higher interest rates and fees. More than 50% of new online AFS borrowers were first seen in 2018 To determine customer loyalty and fluidity, we looked extensively at the borrowing behavior of AFS consumers in the online marketplace. We found half of all online borrowers were new to the space as of 2018, which could be happening for a few different reasons. Over the last five years, there has been a growing preference to the online space over storefront. For example, in our trends report from 2018, we found that 17% of new online customers migrated from the storefront single pay channel in 2017, with more than one-third of these borrowers from 2013 and 2014 moving to online overall. There was also an increase in AFS utilization by all generations in 2018. Additionally, customers who used AFS in previous years are now moving towards traditional credit sources. 2017 AFS borrowers are migrating to traditional credit As we examined the borrowing behavior of AFS consumers in relation to customer loyalty, we found less than half of consumers who used AFS in 2017 borrowed from an AFS lender again in 2018. Looking into this further, about 35% applied for a loan but did not move forward with securing the loan and nearly 24% had no AFS activity in 2018. We furthered our research to determine why these consumers dropped off. After analyzing the national credit database to see if any of these consumers were borrowing in the traditional credit space, we found that 34% of 2017 borrowers who had no AFS activity in 2018 used traditional credit services, meaning 7% of 2017 borrowers migrated to traditional lending in 2018. Traditional credit scores of non-prime borrowers are growing After discovering that 7% of 2017 online borrowers used traditional credit services in 2018 instead of AFS, we wanted to find out if there had also been an improvement in their credit scores. Historically, if someone is considered non-prime, they don’t have the same access to traditional credit services as their prime counterparts. A traditional credit score for non-prime consumers is less than 600. Using the VantageScore® credit score, we examined the credit scores of consumers who used and did not use AFS in 2018. We found about 23% of consumers who switched to traditional lending had a near-prime credit score, while only 8% of those who continued in the AFS space were classified as near-prime. Close to 10% of consumers who switched to traditional lending in 2018 were classified in the prime category. Considering it takes much longer to improve a traditional credit rating, it’s likely that some of these borrowers may have been directly impacted by the recession and improved their scores enough to utilize traditional credit sources again. Key takeaways AFS remains a viable option for consumers who do not use traditional credit or have a credit score that doesn’t allow them to utilize traditional credit services. New AFS borrowers continue to appear even though some borrowers from previous years have improved their credit scores enough to migrate to traditional credit services. Customers who are considered non-prime still use AFS, as well as some near-prime and prime customers, which indicates customer loyalty and retention in this space. For more information about customer loyalty and other recently identified trends, download our recent reports. State of Alternative Data 2019 Lending Report

Time – it’s the only resource we can’t get more of, which is why we tend to obsess over saving it. Despite this obsession, it can be hard for us to identify time-wasting activities. From morning habits to credit decisioning, processes and routines that seem, well, routine, can get in the way of maximizing how we use our time. Identifying the Problem Every morning, I used to turn on my coffee maker, walk to the bathroom to take my multivitamin, then walk back into the kitchen to finish making my coffee. This required maybe twenty steps to the bathroom and twenty steps back, and while this isn’t a huge amount of time—half a minute at best—it’s not insignificant, especially in the morning when time feels particularly precious. One day, I realized I could eliminate the waste by moving my multivitamin to the cabinet above my coffeemaker. What if we could all make minor changes to enhance our efficiency both at home and at work? Imagine how much time we could save by cutting out unnecessary steps. And how saving that time could help drive significant revenue increases. Time Equals Money When businesses waste time with unnecessary steps, that’s money from their bottom line, and out of the pockets of people who are connected to them. Over the last several years, a new time saver has emerged – Application Programming Interface (API). APIs allow application programs to communicate with other operating systems or control programs through a series of server requests or API calls, enabling seamless interaction, data sharing and decisioning. Experian’s partners utilize our ever-growing suite of APIs to quickly access better data, making existing processes more effective and routines more efficient. In the past, banks and other partners had to send files back and forth to Experian when they needed decisioning on a customer’s credit-worthiness prior to approving a new loan or extending a credit limit increase. Now, partners can have their origination system call an Experian API and send their data through that. Our system processes it and sends it back in milliseconds, giving the lenders real-time decisioning rather than shuttling information back and forth unnecessarily. Instead of effectively walking away from one process (assisting the customer/making coffee) to start another (retrieving credit info/walking down the hall to take the multivitamin), our partners are able to link these processes up and save time, allowing them to capitalize on the presence and interest of their customer. The Proof When Washington State Employees Credit Union, the second-largest credit union in the state, realized they needed to make a change to keep pace with increasing competition, they turned to Experian. With our solution, the credit union is now able to provide its members with instant credit decisioning through their online banking platform. This real-time decisioning at the point of member-initiated contact increased the credit union’s loan and credit applications by 25%. Additionally, member satisfaction increased, with 90% of members finding the simplified prequalification process to be more efficient. By accessing Experian’s decisioning services through your existing connection, lenders can to save time and match consumers with the products that match their credit profile before they apply – increasing approval rates once the application is submitted. Best of all, the entire process with the consumers is completed within seconds. Find out how Experian’s solutions can help you improve your existing processes and cut out unnecessary steps. Get started

AI, machine learning, and Big Data – these are no longer just buzzwords. The advanced analytics techniques and analytics-based tools that are available to financial institutions today are powerful but underutilized. And the 30% of banks, credit unions and fintechs successfully deploying them are driving better data-driven decisions, more positive customer experiences and stronger profitability. As the opportunities surrounding advanced analytics continue to grow, more lenders are eager to adopt these capabilities to make the most of their datasets. And it’s understandable that financial institution are excited at the possibilities and insights that advanced analytics can bring to their business. However, there are some key considerations to keep in mind as you begin this important digital transformation. Here are three things you should do as your financial institution begins its advanced analytics journey. Ensure consistent and clean data quality Companies have a plethora of data and information on their customers. The main hurdles that many organizations face is being able to turn this information into a clean and cohesive dataset and formulating an effective and long-term data management strategy. Trying to implement advanced analytic capabilities while lacking an effective data governance strategy is like building a house on a poor foundation – likely to fail. Data quality issues, such as inconsistent data, data gaps, and incomplete and duplicated data, also haunt many organizations, making it difficult to complete their analytics objectives. Ensuring that issues in data quality are managed is the key to gaining the correct insights for your business.   Establish and maintain a single view of customers The power of advanced analytics can only be as strong as the data provided. Unfortunately, many companies don’t realize that advanced analytics is much more powerful when companies are able to establish a single view of their customers. Companies need to establish and maintain a single view of customers in order to begin implementing advanced analytic capabilities. According to Experian research, a single customer view is a consistent, accurate and holistic view of your organization’s customers, prospects, and their data. Having full visibility and a 360 view into your customers paves the way for companies to make personalized, relevant, timely and precise decisions. But as many companies have begun to realize, getting this single view of customers is easier said than done. Organizations need to make sure that data should always be up-to-date, unique and available in order to begin a complete digital transformation.   Ensure the right resources and commitment for your advanced analytics initiative It’s important to have the top-down commitment within your organization for advanced analytics. From the C-suite down, everyone should be on the same page as to the value analytics will bring and the investment the project might require. Organizations that want to move forward with implementing advanced analytic capabilities need to make sure to set aside the right financial and human resources that will be needed for the journey. This may seem daunting, but it doesn’t have to be. A common myth is that the costs of new hardware, new hires and the costs required to maintain, configure, and set up new technology will make advanced analytics implementation far too expensive and difficult to maintain. However, many organizations don’t realize that it’s not necessary to allocate large capital expenses to implement advanced analytics. All it takes is finding the right-sized solution with configurations to fit the team size and skill level in your organization. Moreover, finding the right partner and team (whether internal or external) can be an efficient way to fill temporary skills gaps on your team. No digital transformation initiative is without its challenges. However, beginning your advanced analytics journey on the right footing can deliver unparalleled growth, profitability and opportunities. Still not sure where to begin? At Experian, we offer a wide range of solutions to help you harness the full power and potential of data and analytics. Our consultants and development teams have been a game-changer for financial institutions, helping them get more value, insight and profitability out of their data and modeling than ever before. Learn More

Fintech is quickly changing. The word itself is synonymous with constant innovation, agile technology structures and being on the cusp of the future of finance. The rapid rate at which fintech challengers are becoming established, is in turn, allowing for greater consumer awareness and adoption of fintech platforms. It would be easy to assume that fintech adoption is predominately driven by millennials. However, according to a recent market trend analysis by Experian, adoption is happening across multiple generational segments. That said, it’s important to note the generational segments that represent the largest adoption rates and growth opportunities for fintechs. Here are a few key stats: Members of Gen Y (between 24-37 years old) account for 34.9% of all fintech personal loans, compared to just 24.9% for traditional financial institutions. A similar trend is seen for Gen Z (between 18-23 years old). This group accounts for 5% of all fintech personal loans as compared to 3.1% for traditional Let’s take a closer look at these generational segments… Gen Y represents approximately 19% of the U.S. population. These consumers, often referred to as “millennials,” can be described as digital-centric, raised on the web and luxury shoppers. In total, millennials spend about $600 billion a year. This group has shown a strong desire to improve their credit standing and are continuously increasing their credit utilization. Gen Z represents approximately 26% of the U.S. population. These consumers can be described as digital centric, raised on the social web and frugal. The Gen Z credit universe is growing, presenting a large opportunity to lenders, as the youngest Gen Zers become credit eligible and the oldest start to enter homeownership. What about the underbanked as a fintech opportunity? The CFPB estimates that up to 45 million people, or 24.2 million households, are “thin-filed” or underbanked, meaning they manage their finances through cash transactions and not through financial services such as checking and savings accounts, credit cards or loans. According to Angela Strange, a general partner at Andreessen Horowitz, traditional financial institutions have done a poor job at serving underbanked consumers affordable products. This has, in turn, created a trillion-dollar market opportunity for fintechs offering low-cost, high-tech financial services. Why does all this matter? Fintechs have a unique opportunity to engage, nurture and grow these market segments early on. As the fintech marketplace heats up and the overall economy begins to soften, diversifying revenue streams, building loyalty and tapping into new markets is a strategic move. But what are the best practices for fintechs looking to build trust, engage and retain these unique consumer groups? Join us for a live webinar on November 12 at 10:00 a.m. PST to hear Experian experts discuss financial inclusion trends shaping the fintech industry and tactical tips to create, convert and extend the value of your ideal customers. Register now