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Investing in a strong customer acquisition strategy is critical to attracting leads and converting them into high-value customers. In this blog post, we’ll be focusing on one of the first stages of the customer acquisition process: the application stage. Challenges with online customer application processes When it comes to the customer application stage, speed, ease, and convenience are no longer nice-to-haves — they are musts. But various challenges exist for lenders and consumers in terms of online credit or account application processes, including: Limited digital capabilities. Consumers have grown more reliant on digital channels, with 52% preferring to use digital banking options over banking at branches. That said, financial institutions should prioritize the digital customer experience or risk falling behind the competition. The length of applications. Whether it’s a physical or digital application, requiring consumers to provide a substantial amount of information about themselves and their past can be frustrating. In fact, 67% of consumers will abandon an application if they experience complications. Potential human error. Because longer, drawn-out applications require various steps and data inputs, consumers may leave fields blank or make errors along the way. This can create more friction and delays as consumers may potentially be driven offline and into branches to get their applications sorted out. Improve the speed and accuracy of online credit applications Given that consumers are more likely to abandon their applications if their experience is friction-filled, financial institutions will need an automated, data-driven solution to simplify and streamline the online form completion process. Some of the benefits of leveraging an automated solution include: Improved customer experiences. Shortening time-to-value starts with faster decisioning. By using accurate consumer data and automation to prefill parts of the online credit application, you can reduce the amount of information applicants are required to enter, leading to lower abandonment rates, less potential for manual error, and enhanced user experiences. Fraud prevention. Safeguarding consumer information throughout the credit application process is crucial. By leveraging intelligent identity verification solutions, you can securely and compliantly identify consumer identities while ensuring data isn’t released in risky situations. Then by using identity management solutions, you can gain a connected, validated customer view, resulting in minimized end-user friction. Faster approvals. With automated data prefill and identity verification, you can process applications more efficiently, leading to faster approvals and increased conversions. Choosing the right partner Experian can help optimize your customer application process, making it faster, more efficient, and less error prone. This way, you can win more customers and improve digital experiences. Learn more about Experian’s customer acquisition solutions.

Financial institutions have long been on the cutting edge of technology trends, and it continues to be true as we look at artificial intelligence and machine learning. Large analytics teams are using models to solve for lending decisions, account management, investments, and more. However, unlike other industries taking advantage of modeling, financial institutions have the added complexity of regulation and transparency requirements to ensure fairness and explainability. That means institutions need highly sophisticated model operations and a highly skilled workforce to ensure that decisions are accurate and accountability is maintained. According to new research from Experian, we see that while financial institutions plan to use or are using models for a wide range of use cases, there is a range of ModelOps maturity across the industry. Just under half of financial institutions are in the early stages of model building, where projects are more ad-hoc in nature and experimental. Only a quarter of institutions seem to be more mature, where processes are well defined and models can be developed in a reliable timeframe. With more than two-thirds of lenders saying that ModelOps will play a key role in shaping the industry over the next five years, the race to maturity is critical. One of the biggest challenges we see in the space is that it takes too long for models to make it into production. On average, financial institutions estimate that the end-to-end process for creating a new model for credit decisioning takes an average of 15 months. Organizations need to accelerate model velocity, meaning the time that it takes to get a model into production and generating value, to take advantage of this powerful technology. Having the right technology, the right talent, and the right data at the right time continue to drag down operational speed and tracking of models after they are in production. For more information on Experian’s recent study, download the new report ‘Accelerating Model Velocity in Financial Institutions’. We are also hosting an upcoming webinar with tips on how to tackle some of the biggest model development and deployment challenges. You can register for the webinar here.

It's no secret that the banking industry is essential to a thriving economy. However, the nature of the industry makes it prone to various risks that can have significant consequences. Therefore, effective and efficient risk management is vital for mitigating these risks and enhancing the stability of the banking sector. This is where risk management in banking comes in. Let’s look at the importance of risk management in banking and its role in mitigating risks in the industry. What is risk management in banking? Risk management in banking is an approach used by financial institutions to manage risks associated with banking operations. Establishing a structured risk management process is essential to identifying, evaluating and controlling risks that could affect your operations. The process involves developing and implementing a comprehensive risk management framework consisting of several components, including risk assessment, mitigation, monitoring and reporting. Importance of banking risk management Banks face risks from every angle – changing customer behaviors, fraud, uncertain markets, and regulatory compliance, making banking risk management critical for the stability of financial institutions. There are various risks associated with the industry, including:  Credit risk: The probability of a financial loss resulting from a borrower's failure to repay a loan, which results in an interruption of cash flows and increased costs for collection. How to mitigate: Leverage advanced analytics, data attributes, and predictive models to improve predictability, manage portfolio risk, make better decisionsand acquire the best customers. Market risk:The likelihood of an investment decreasing in value because of market factors (I.e., changes in interest rates, geopolitical events or recessions). How to mitigate: While it is impossible to eliminate market risk, you can diversify your assets, more accurately determine your risk threshold and stay informed on economic and market conditions.  Liquidity risk:The risk that an organization cannot meet its short-term liabilities and financial payment obligations. How to mitigate: More regularly forecast your cash flow and conduct stress tests to determine potential risk scenarios that would cause a loss of liquidity and how much liquidity would be lost in each instance.  Operational risk:Potential sources of losses that result from inadequate or failed internal processes (I.e., poorly trained employees, a technological breakdown, or theft of information). How to mitigate: Hire the right staff and adequately train them, stay up to date with cybersecurity threats and automate processes to reduce human error. Reputational risk: The potential that negative publicity regarding business practices, whether true or not, will cause a decline in the customer base, costly litigation or revenue reductions. How to mitigate: Define your bank’s core ethical values and relay them to stakeholders and employees. You should also develop a reputational management strategy and contingency plan in case a reputation-affecting incident occurs. Risk management in banking best practices Successful banks embrace risks while developing powerful mechanisms to prevent or manage them and stay ahead. By taking a proactive approach and leveraging risk management tools, you can minimize losses, enhance stability and grow responsibly.  The steps for implementing a banking risk management plan, include:  Risk identification and assessment: Financial institutions need to identify potential risks associated with their operations and assess the severity and impact of these risks. Risk mitigation: Once risks have been identified and assessed, financial institutions can implement strategies to mitigate the effects of these risks. There are several strategies for risk mitigation, including risk avoidance, reduction, acceptance and transfer. Risk monitoring and reporting: One of the fundamental principles of a banking risk management strategy is ongoing monitoring and reporting. Financial institutions should continually monitor their operations to identify evolving risks and develop mitigation strategies. Generating reports about the progress of the risk management program gives a dynamic view of the bank’s risk profile and the plan’s effectiveness. Several challenges may arise when implementing a risk management strategy. These include new regulatory rules or amendments, cybersecurity and fraud threats, increased competition in the sector, and inefficient resources and processes. An effective risk management plan serves as a roadmap for improving performance and allows you to better allocate your time and resources toward what matters most.  Benefits of implementing a risk management strategy Banks must prioritize risk management to stay on top of the various critical risks they face every day. There are several benefits of taking a proactive approach to banking risk management, including:Improved efficiency: Enhance efficiency and deploy more reliable operations by identifying areas of weakness or inefficiencies in operational processes.Confident compliance: Ensure you comply with new and amended regulatory requirements and avoid costly fines. Enhanced customer confidence: Foster customer confidence to increase customer retention and mitigate reputational risk. Partnering to reduce risk and maximize growth Effective risk management is crucial for mitigating risks in the banking industry. By implementing a risk management framework, financial institutions can minimize losses, enhance efficiency, ensure compliance and foster confidence in the industry. At Experian, we have a team of experts dedicated to supporting our banking partners. Our team’s expertise paired with our innovative solutions can help you implement a powerful risk management process, as well as: Leverage data to reach company-wide business goals. Lower the cost of funds by attracting and retaining deposits. Protect your business against fraud and risk. Create less friction through automated decisioning. Grow your business portfolio and increase profitability. Learn more about our fraud and risk management solutions for banks. Learn more

This article was updated on August 9, 2023. Debt collections can be frustrating — for both consumers and lenders alike. Coupled with ever-changing market conditions and evolving consumer expectations for their digital experience, lending institutions and collections agencies must develop the right collections strategies to reduce costs and maximize recovery rates. How can they do this? By following the three Cs — communication, choice and control. Communication To increase response rates and successfully retrieve payments, lenders must cater to consumers’ preferences for communication, or more specifically, make the right type of contact at the right time. With debt collection predictive analytics, you can gain a more holistic view of consumers and further insight into their behavioral and contact channel preferences. This way, you can better assess an individual's propensity to pay, determine the best way and time to reach them and develop more personalized treatment strategies. Control Debt collection solutions that provide a more comprehensive customer view can also give individuals greater control as they’re able to engage with collectors via a channel that may be easier or more comfortable for them than a phone call, such as email, text or chatbots. Providing consumers with various options is especially important as 81% think more highly of brands who offer multiple digital touchpoints. To further improve your methods of communication, consider streamlining monotonous processes with collection optimization. By automating repetitive tasks and outreach, you can reduce errors and free up your agents’ time to focus on accounts that need more attention, creating a customer-centric collections experience. Choice Ultimately, the success of collections initiatives relies heavily on how well collection practices are accepted and adopted by the end user. Consumers want to make informed decisions and want to be offered choices – therefore giving them more control in a decision-making process and with their finances. “Consumers have made a monumental shift to digital. To enhance your collections performance, it is critical to engage consumers in the method and channel of their choosing,” said Paul Desaulniers, Head of Scoring, Alternative Data and Collections at Experian. Lending institutions and third-party collection agencies that are able to communicate across all consumer channels will see more success in their collections strategies. Are your debt collection tactics and strategies up-to-par? READ: Strengthening Your Debt Collection Strategy Improve your collections strategy By catering to consumers’ communication preferences, giving them control and offering them choices, financial institutions and collections agencies can more effectively reach their customer base, with less effort. It’s a win-win for all. Experian offers various debt management and collections systems that can help you optimize processes, reduce costs and increase recovery rates. To get started, visit us today. Learn more

As 2023 unfolds, rental housing owners and operators find themselves faced with a slightly different market than in the recent past. While rents are still high, rent growth has slowed somewhat, and the prospect of a cooler U.S. economy means more renters could be facing economic hardships in the months ahead. So, who is today's renter? In The State of the U.S. Rental Housing Market, a new report from Experian, we uncover that today’s renters are typically younger. According to our data derived from Experian RentBureau® and our analysis, 68.8% of today’s renters are either millennials (41.8%) or Gen Z (27%). Meanwhile, 17.3% are Gen X, 11.9% are baby boomers and only 2.2% are from the Silent Generation. Similarly, when you look at the renters who have a higher propensity to move — and thus need a new apartment or home to rent — they tend to skew younger. Our analysis shows that, of the renters who made two or more moves during the last two years, 43.2% were Gen Y (millennials). The younger Gen Y segment accounts for 25.2% of the frequent movers. As the population of renters has increased over the past decade, the concentration of growth appears to be among households earning $75,000 or more in annual income. About 7.6 million of these households were renters in 2009; by 10 years later, that figure had increased to 11.2 million. What is their financial status? Also, by some measurements, U.S. consumers — and, by extension, renters — improved their financial standing during the pandemic era. Credit scores rose as consumers used stimulus payments to pay down debt and save, but this trend is starting to normalize. The median conventional credit score rose above 700 in 2022, up from just above 680 in 2019. Still, according to Experian RentBureau, 63% of all renter households are low- to moderate-income earners, meaning they make less than 80% of the area median income. Furthermore, the average renter spends 38.6% of their income on rent. Households that spend more than 30% of their income on housing costs — including rent or mortgage payments, utilities and other fees — are considered “housing cost burdened” by the U.S. Department of Housing and Urban Development. For more insight and analysis of today’s rental-housing market, click here to download your free copy of The State of the U.S. Rental Housing Market report.

Trust is the primary factor in any business building a long-lasting relationship, especially when a company operates globally and wants to build a loyal customer base. With the rapid acceleration of digital shopping and transactions comes a growing fraud landscape. And, given the continual increase of people wanting to transact online, marketplace companies – from ecommerce apps, ridesharing, to rental companies – need to have ideal strategies in place to protect themselves and their customers from fraudulent activities. Without ideal risk mitigation or comprehensive fraud and identity proofing strategies, marketplaces may find themselves facing the following: Card-not-present (CNP) Fraud: As online shopping increases, customers can’t provide a credit card directly to the merchant. That’s why fraudsters can use stolen credit card information to make unauthorized transactions. And in most cases, card owners are unaware of being compromised. Without an integrated view of risk, existing credit card authentication services used in isolation can result in high false positives, friction and a lack of card issuer support. Unverified Consumer Members, Vendors, Hosts & Drivers: From digital marketplace merchants like Etsy and Amazon, to peer-to-peer sharing economies like AirBnB, Uber and Lyft, the marketplace ecosystem is prone to bad actors who use false ID techniques to exploit both the platform and consumers for monetary gain. Additionally, card transaction touchpoints across the customer lifecycle increases risks of credit card authentication. This can be at account opening, account management when changes to existing account information is necessary, or at checkout. Buy Now, Pay Later (BNPL) Muling: While a convenient way for consumers to plan for their purchases, experts warn that without cautionary and security measures, BNPL can be a target for digital fraud. Fraudsters may use their own or fabricated identities or leverage account takeover to gain access to a legitimate user’s account and payment information to make purchases with no intent to repay. This leaves the BNPL provider at the risk of unrecoverable monetary losses that can impact the business’ risk tolerance. Forged Listings & Fake Accounts: Unauthorized vendors that create a fake account using falsified identities, stolen credit cards and publish fake listings and product reviews are another threat faced by ecommerce marketplaces. These types of fraud can happen without the vast data sources necessary to assess the risk of a customer and authenticate credit cards among other fraud and identity verification solutions. By not focusing on establishing trust, fraud mitigation management solutions and identity proofing strategies, businesses can often find themselves with serious monetary, reputational, and security qualms. Interested in learning more? Download Experian’s Building Trust in Digital Marketplaces e-book and discover the strategies digital marketplaces, like the gig economy and peer-to-peer markets, can take to keep their users safe, and protected from fraudulent activity. For additional information on how Experian is helping businesses mitigate fraud, explore our comprehensive suite of identity and fraud solutions. Download e-book

After a period of historic, double-digit rent growth and razor-thin vacancy rates, the rental housing market has shown some signs of softening in recent months. And economic uncertainty still looms. The potential of a downturn this year and the existing economic strains faced by large swaths of renters may impact many rental-housing owners and managers nervous about their ability to find renters who can fulfill their lease terms. In The State of the U.S. Rental Housing Market, a new report from Experian, our data scientists and analysts offer key insights into the U.S. housing market and its impact on renters. The analysis in this report is derived from synthesizing various data samples and sources, including Experian credit attributes and models as well as data from the U.S. Census Bureau and Experian RentBureau®. Experian RentBureau is the largest rental payment database and contains over 4.4 million transactions and more than 25 million renter profiles. This report yields three major takeaways: Soaring interest rates and a slowing mortgage sector over the last year have taken heat out of the homebuying market, leading to more renters remaining in the renter pool. Inflation and other economic strains continue to squeeze renters’ finances. As rent prices increase and negative payment activity becomes more frequent, rental-housing owners and operators are striving to grow without expanding default risk and need to find renters with the best chances of fulfilling the terms of their leases. Among the report’s other notable findings: The average renter spends 38.6% of their income on rent. Households that spend more than 30% of their income on housing costs — including rent or mortgage payments, utilities and other fees — are considered “housing cost burdened” by the U.S. Department of Housing and Urban Development. Experian data shows 28% of renters with negative payment activity in 2022 (negative payment activity is defined as having late charges, insufficient funds, write-offs or outstanding balances). The figure represented an increase of 5.7 percentage points from 2021 and 3.8 percentage points from 2020. Also of note, low-to-moderate income renters are twice as likely to have a negative payment activity compared to other renters. Rent-to-income ratios are highest in the West and the Northeast. Among all 50 states, the leaders are Washington D.C. (40.9%), California (39.7%), Washington state (35.6%), Utah (35.6%) and New York (35.3%). Keep pace with trends in future blog posts that will dive deeper into the current conditions affecting the rental housing market and renters. In the meantime, click here to download your free copy of The State of the U.S. Rental Housing Market Report in full.

Evolving technologies and rising consumer expectations for fast, frictionless experiences highlight an opportunity for credit unions to advance their decisioning and stand out in a crowded market. How a credit union is optimizing their decision-making process With over $7.2 billion in assets and 330,000 members, Michigan State University Federal Credit Union (MSUFCU) aims to provide superior service to their members and employees. Initially reliant on manual reviews, the credit union needed a well-designed decisioning strategy that could help them grow their loan portfolio, increase employee efficiency, and reduce credit risk. The credit union implemented Experian’s decisioning platform, PowerCurve® Originations, to make faster, more accurate credit decisions on their secured and unsecured personal loans, leading to increased approvals and an exceptional member experience. “Day one of using PowerCurve produced a 49% automation rate! We have received amazing feedback from our teams about what a great product was chosen,” said Blake Johnson, Vice President of Lending, Michigan State University Federal Credit Union. After implementing PowerCurve Originations, MSUFCU saw an average monthly automation rate of more than 55% and decreased their application processing time to less than 24 hours. Read the full case study for more insight on how Experian can help power your decisioning to grow your business and member relationships. Download case study

In a changing economy, banks of all sizes are more budget conscious, leading many to pull back on their marketing spend for new customer acquisition. But by making strategic marketing moves now, banks can uncover new opportunities and drive profitable, long-term growth. So, how can you find, engage, and win over high-value customers? Know who’s in the market for credit To build an effective bank customer acquisition strategy, you’ll want to be proactive with your campaign planning. Let’s say you’ve already defined your customer profile and have insights into their interests, lifestyles, and demographics. With predictive metrics and advanced tools like trended data and propensity-to-open models, you can further refine your segmentation strategies by identifying individuals who are likely to be in the market for your product. This way, you can reach consumers at the right time and personalize offers to achieve higher open rates. Embrace the digital era With today’s consumers increasing their banking activities online, leveraging digital channels in your bank customer acquisition strategy is imperative. In addition to connecting with consumers through direct mail, consider reaching out to them through email, social media, or your mobile banking applications. This will not only help increase the visibility of the offer, but also allow consumers to receive and respond faster. Another way to enhance your banking strategies for growth while meeting consumer expectations for digital is by making it easier and more convenient for consumers to onboard. With an automated and data-driven credit decisioning solution, you can streamline steps that are traditionally manual and time-consuming, such as data collection and identity verification. By providing seamless customer acquisition in banking, you can accelerate your decision-making and increase the likelihood of conversion. Make the most of your marketing spend While customer acquisition in banking should remain a high priority, we understand that driving growth on a tight marketing budget can be challenging. That’s why we created a tip sheet outlining ways for banks and other lenders to enhance their customer acquisition processes while effectively managing costs. Some of the tips include: Going beyond conventional scoring methods. By leveraging an advanced customer acquisition solution, you can gain a holistic view of your prospective customers to enhance predictive performance and identify hidden growth opportunities. Focusing on high-potential customers. Pinpointing consumers who are actively seeking credit enables you to focus your offers and resources on those who are likely to respond, resulting in a greater return on marketing investment. Amplifying your credit offers. Re-presenting preapproved credit offers through the digital channels that consumers most frequent enables you to expand your campaign reach, increase response rates, and reduce direct mailing costs. View the tip sheet to learn how you can make the most of your marketing budget to acquire new customers and drive long-term growth. Access tip sheet

After being in place for more than three years, the student loan payment pause is scheduled to end 60 days after June 30, with payments resuming soon after. As borrowers brace for this return, there are many things that loan servicers and lenders should take note of, including: Potential risk factors demonstrated by borrowers. About one in five student loan borrowers show risk factors that suggest they could struggle when scheduled payments resume.1 These include pre-pandemic delinquencies on student loans and new non-medical collections during the pandemic. The impact of pre-pandemic delinquencies. A delinquent status dating prior to the pandemic is a statistically significant indicator of subsequent risk. An increase in non-student loan delinquencies. As of March 2023, around 2.5 million student loan borrowers had a delinquency on a non-student loan, an increase of approximately 200,000 borrowers since September 2022.2 Transfers to new servicers. More than four in ten borrowers will return to repayment with a new student loan servicer.3 Feelings of anxiety for younger borrowers. Roughly 70% of Gen Z and millennials believe the current economic environment is hurting their ability to be financially independent adults. However, 77% are striving to be more financially literate.4 How loan servicers and lenders can prepare and navigate Considering these factors, lenders and servicers know that borrowers may face new challenges and fears once student loan payments resume. Here are a few implications and what servicers and lenders can do in response: Non-student loan delinquencies can potentially soar further. Increased delinquencies on non-student loans and larger monthly payments on all credit products can make the transition to repayment extremely challenging for borrowers. Combined with high balances and interest rates, this can lead to a sharp increase in delinquencies and heightened probability of default. By leveraging alternative data and attributes, you can gain deeper insights into your customers' financial behaviors before and during the payment holidays. This way, you can mitigate risk and improve your lending and servicing decisions. Note: While many student loan borrowers have halted their payments during forbearance, some have continued to pay anyway, demonstrating strong financial ability and willingness to pay in the future. Trended data and advanced modeling provide a clearer, up-to-date view of these payment behaviors, enabling you to identify low-risk, high-value customers. Streamlining your processes can benefit you and your customers. With some student loan borrowers switching to different servicers, creating new accounts, enrolling in autopay, and confirming payment information can be a huge hassle. For servicers that will have new loans transferred to them, the number of queries and requests from borrowers can be overwhelming, especially if resources are limited. To make transitions as smooth as possible, consider streamlining your administrative tasks and processes with automation. This way, you can provide fast and frictionless service for borrowers while focusing more of your resources on those who need one-on-one assistance. Providing credit education can help borrowers take control of their financial lives. Already troubled by higher costs and monthly payments on other credit products, student loan payments are yet another financial obligation for borrowers to worry about. Some borrowers have even stated that student loan debt has delayed or prevented them from achieving major life milestones, such as getting married, buying a home, or having children.5 By arming borrowers with credit education, tools, and resources, they can better navigate the return of student loan payments, make more informed financial decisions, and potentially turn into lifelong customers. For more information on effective portfolio management, click here. 1Consumer Financial Protection Bureau. (June 2023). Office of Research blog: Update on student loan borrowers as payment suspension set to expire. 2Ibid. 3Ibid. 4Experian. (May 2023). Take a Look: Millennial and Gen Z Personal Finance Trends 5AP News. (June 2023). The pause on student loan payment is ending. Can borrowers find room in their budgets?

Credit portfolio management has often involved navigating uncertainty, but some periods are more extreme than others. With the right data and analytics you can gain deeper insight into financial behaviors and risk to make better decisions and drive profitable growth. Along with access to an increasing amount of data, advanced analytics can help lenders more accurately: Forecast losses under different economic scenarios to estimate liquidity requirements. Identify fraud by detecting behaviors that could indicate identity theft, account takeover fraud, first-party or synthetic identity fraud. Incorporate real-time and alternative data,1 such as cash flow transaction data and specialty bureau data, in decisioning and scoring to accurately assess creditworthiness and expand your lending pool without taking on undue risk. Precisely segment consumers using internal and external data to increase automation during underwriting and identify cross-sell opportunities. Improve collections using AI-driven strategies and automated debt collection software to enhance operations and increase recovery rates. It’s imperative to take a proactive approach to portfolio monitoring. Monthly portfolio reviews with bureau scores, credit attributes and specialized scores — and using the results to manage credit lines and loan terms — are critical during volatile times. View our interactive e-book for the latest economic and consumer trends and learn how to set your portfolio up to succeed in any economic cycle. Download e-book 1"Alternative credit data" refers to the use of alternative data and its appropriate use in consumer credit lending decisions, as regulated by the Fair Credit Reporting Act. Hence, the term “expanded FCRA data" may also apply in this instance, and both can be used interchangeably.

High property values and rising interest rates have priced many borrowers out of the market. In the face of declining home purchases, lenders are focusing on their portfolios and opportunities to expand borrower relationships. At the same time, portfolio health is increasingly important. Keeping a pulse on and successfully managing portfolio risk is just as important as portfolio growth. To effectively manage a mortgage portfolio, an understanding of the complete financial standing of a borrower, along with the most recent loan performance and property data characteristics, is crucial. Below we discuss three ways to analyze your portfolio to maximize performance. Portfolio risk While mortgage delinquencies remain well below pre-pandemic levels, rolling delinquency rates are seeing an uptick. In a recent study, we found that, of the at-risk population, over 24% may be at high risk of delinquency or default. Having the tools and resources to segment your portfolio and identify these borrowers is key to preemptively assisting or modifying loan terms and reducing risk exposure to the business. Growth and retention Did you know up to 64% of prime and above borrows may be ideal Home Equity Line of Credit (HELOC) candidates? Having the ability to segment your portfolio to identify borrowers who can tap into their home equity as a line of credit for upgrades, remodeling, or simply a rainy-day fund, will allow you to grow your originations pipeline while also supporting your mortgage retention strategy. To optimize your segmentation strategy, consider leveraging In the Market Models (ITMM) to identify borrowers with a high propensity to respond to HELOC offers. Through a retrospective analysis, we found that ITMM can improve campaign performance by over 700%. Similarly, a HELOC can be a prime option for borrowers with increasing debt. Through our newly launched solution, Mortgage Insights Dashboard for Servicing, we found that up to 46% of prime and above borrowers may be ideal candidates for debt consolidation. For this segment of your portfolio, a HELOC can consolidate high-interest debt from credit cards, retail cards, or even short-term loans. Peer analysis Like sports teams, many mortgage lenders and servicers are interested in comparing their performance against that of their peers. Are your portfolio runoff rates above, equal to, or below that of your competitors? In some instances, we’ve seen a lender’s runoff rate averaging 10% MoM higher than their peers. By comparing your portfolio performance against your peers (and the market) you can assess both the efficacy of portfolio recapture strategies and demonstrate loan quality to investors. While these are just a few examples of ways to analyze your portfolio, perhaps what’s most important is having the data, such as credit, income, DTI, and property information, needed for this type of intelligence available in one place. Partner with a provider that can offer you the mortgage servicing solutions to easily segment your portfolio to gain insights and inform ongoing strategic decisions. Learn more *Data charts source: Experian's Mortgage Insights Dashboard for Servicing

The unsecured personal loan, one of the most popular products in the financial space, has seen ebbs and flows over the last several years due to many factors, including economic volatility, the global pandemic, changing consumer behaviors and expectations, and more. Experian data scientists and analysts took a deep dive into data between 2018 and 2022 to uncover and analyze trends in this important industry segment. Additionally, they recommend fintech lending solutions to help fintechs stay ahead of ever-changing market conditions and discover new opportunities. This analysis shows that digital loans accounted for 45 percent of the market in 2022. While this is down from 52% in 2021, digital loan market share continues to grow. The analysis also provides a detailed look into who the digital borrower is and how they compare to traditional borrowers. As we look to the rest of 2023 and beyond, fintechs must be armed with the best digital lending technology, tools, and data to fuel profitable growth while mitigating as much risk as possible. Download our fintech trends report for a full analysis on origination volume trends, delinquency trends, and consumer behavior insights. Download now

On average, the typical global consumer owns three or more connected devices.1 80% of consumers bounce between devices, while 31% who turned to digital channels for their last purchase used multiple devices along the way.2 Considering these trends, many lenders are leveraging multiple channels in addition to direct mail, including email and mobile applications, to maximize their credit marketing efforts. The challenge, however, is effectively engaging consumers without becoming overbearing or inconsistent. In this article, we explore what identity resolution for credit marketing is and how the right identity tools can enable financial institutions to create more cohesive and personalized customer interactions. What is identity resolution? Identity resolution connects unique identifiers across touchpoints to build a unified identity for an individual, household, or business. This requires an identity graph, a proprietary database that collects, stitches, and stores identifiers from digital and offline sources. As a result, organizations can create a persistent, high-definition customer view, allowing for more consistent and meaningful brand experiences. What are the types of identity resolution? There are two common approaches to identity resolution: probabilistic ID matching and deterministic ID matching. Probabilistic ID matching uses multiple algorithms and data sets to match identity profiles that are most likely the same customer. Data points used in probabilistic models include IP addresses and device types. Deterministic ID matching uses first-party data that customers have produced, enabling you to merge new data with customer records and identify matches among existing identifiers. Examples of this type of data include phone numbers and email addresses. What role does identity resolution play in credit marketing? Maintaining a comprehensive customer view is crucial to credit marketing — the insights gained allow lenders to determine who they should engage and the type of offer or messaging that would resonate most. But there are many factors that can prevent financial institutions from doing this effectively: poor data quality, consumers bouncing between multiple devices, and so on. Seven out of 10 consumers find it important that companies they interact with online identify them across visits. Identity resolution for credit marketing solves these issues by matching and linking customer data from disparate sources back to a single profile. This enables lenders to: Create highly targeted campaigns. If your data is incomplete or inaccurate, you may waste your marketing spend by engaging the wrong audience or sending out irrelevant credit offers. An identity resolution solution that leverages expansive, regularly updated data gives you access to high-definition views of individuals, resulting in more personalization and greater campaign engagement. Deliver seamless, omnichannel experiences. To further improve your credit marketing efforts, you’ll need to keep up with consumers not only as their needs or preferences change, but also as they move across channels and devices. Instead of creating multiple identity profiles for the same person, identity resolution can recognize an individual across touchpoints, allowing you to create consistent offers and cohesive experiences. Picking the right marketing identity resolution solution While the type of identity resolution for marketing solution can vary depending on your business’s goals and challenges, Experian can help you get started. To learn more, visit us today. 1 Global number of devices and connections per capita 2018-2023, Statista. 2 Cross Device Marketing - Statistics and Trends, Go-Globe.

Breaking down, rethinking, and optimizing your debt collection recovery process can be complicated — but you risk falling behind if you don't invest in your business. From managing live agents to unlocking the latest machine-learning models, there are different options and routes you can take to improve recovery rates.  Debt collection challenges in 2023 Collection agencies have embraced digitization. The benefits are numerous — cost savings, streamlined processes, and improved compliance, to name a few. However, digital tools aren't cure-alls, and they can even create new challenges if you're not careful. Maintaining accurate consumer data: Quickly reaching consumers can be difficult during times of economic uncertainty. Increased access to data can help you overcome this challenge, but only if you can manage and understand the information. If you simply turn on the metaphorical data streams, you could find yourself drowning in duplicate and erroneous entries. Keeping up with rising delinquencies: Delinquency rates steadily rose throughout 2022.1 Although rates may level out for some types of accounts in 2023, collection agencies need a plan for dealing with the potential increased volume. At the same time, continued low unemployment rates could make it difficult to hire and retain agents.  Managing a tight budget: Recession worries also have companies rethinking expenses, which can impact your ability to increase head count and invest in technology. Finding effective trade-offs is going to be important for debt collection process optimization. Staying compliant: We've seen some major changes over the last few years, but there's no time to rest — debt collectors always need to be aware of new state and federal regulations. Digitization might make compliance more difficult if you're now managing an increasing amount of personal information or using text messages (or other omni-channels) to contact consumers. WATCH:Keeping pace with collections compliance changes Five ways to enhance your debt collection process Here are five ways that debt collectors can overcome today's challenges and take advantage of new opportunities.  1. Leverage clean data Continuously updating and checking the accuracy of your data can help increase right-party contact rates. But don't rely on your internal data and basic internet searches or public records. Leading data and skip-tracing services can give you access to additional data from credit bureaus, alternative financial services, collateral records, business listings and other helpful sources. Some skip-tracing tools can continuously verify and update contact information. They can also rank contact records, such as phone numbers, to save your agent's time. And identify consumers in a protected status such as bankrupt, deceased, and active military) and require special handling to help you stay compliant. 2. Implement advanced analytics and automation High-quality data can also be the foundation for a data-driven approach to collections.  Use collections-specific models: Although credit risk scores can be a piece of the debt collection puzzle, debt collection recovery models are often a better fit. You may be able to use different models to score accounts based on exposure, risk, willingness to pay or behavioral factors. Segment accounts: Increased insights and models also allow you to more precisely segment accounts, which can help you handle larger volumes with fewer resources. For instance, you can more accurately determine which accounts require an agent's personal touch, which can move forward with an automated experience and which should go to the back of your queue.  The data-driven approach also allows you to increasingly automate your collections — which can help you deal with rising delinquency rates in the face of a tight labor market and budget constraints. 3. Know when and how to make contact Segmentation and advanced analytics can tell you who and when to contact, but you also have to be mindful of how you reach out. Letters, calls, emails and texts can all be effective in the right circumstances, but no single option will always be best. For example, a text could be ideal when contacting Gen Z, but a call might work best for Baby Boomers. That's neither novel nor surprising, but it is important to stay up to date with the latest trends and preferences. Ideally, you reach people on their preferred channel at an appropriate time. You may also need to continually test, monitor and refine your process, especially if you want to increase automation.  READ:Digital Debt Collection Future white paper 4. Offer financially appropriate treatments In addition to picking the right communication channel, consider the payment options you offer consumers. Various payment plans, settlements and policies can directly affect your recovery rates — and what performed best in previous years might not make sense anymore. Chatbots and virtual negotiators can also help improve recovery rates without straining your agents' time. And for accounts that will likely self-cure, automated texts or emails with links to self-service portals could be an ideal solution. Expanding payment methods, such as accepting payments from digital wallets when you're sending a text message, could also make sense. However, you want to be sure you're not wasting time or money by contacting consumers who don't have the means to make a payment. Instead, set those accounts aside for now, but monitor them for changes that could indicate their financial situation has changed — such as a new credit line. Then, try to offer a solution that will likely fit the consumer's circumstances. 5. Invest in your live agents Modern debt management and collection systems focus on digitization and automation, and these can improve recovery rates. But don't forget about your front-line agents. There will always be times when a personal touch gets you further than an automated message. Continued training and ongoing recognition can be important for retaining top performers, maintaining compliance and increasing agents' effectiveness.  Partner for success Implementing an efficient and effective collections strategy can require a lot of work, but you don't have to go at it alone. Experian offers various debt collection solutions that can help optimize processes and free up your organization's resources and agents' time. Tap into our industry-leading data sources — including traditional credit data, alternative financial data and over 5,000 local phone exchange carriers — to find, update and verify account information. Available on the cloud or with secure file transfers, the TrueTrace™ and TrueTrace Live™ tools have led to a 10 percent lift in right-party contact rates compared to competitors. When it comes to optimizing outreach, you can prioritize accounts with over 60 industry-specific debt recovery scores via PriorityScore for CollectionsSM. Or work with Experian to create custom models for your organization. For an end-to-end decisioning solution, our AI-driven Experian Decisioning solution draws from internal and external data to determine the proper customer contact frequency, channel and treatment options, including self-service portals. Create your own strategies and workflows and manage the entire process with a single dashboard, cloud-based access and integrated reports. Learn more about Experian's debt collection process solutions 1Experian. (February 2023). Credit Scores Steady as Consumer Debt Balances Rise in 2022