Tag: finance

In today's evolving financial landscape and with delinquincies rising, debt collection remains a critical function for financial institutions. However, traditional methods often fall short in efficiency and customer satisfaction. Enter artificial intelligence (AI), a game-changer poised to revolutionize the debt collection industry. This blog post explores the benefits and uses of AI in debt collection, shedding light on how financial institutions can leverage this technology to enhance their strategies. Understanding AI in debt collection Artificial intelligence – which encompasses machine learning, natural language processing, and other advanced technologies – is transforming various industries, including debt collection. AI in debt collection involves using these technologies to automate and optimize processes, making them more efficient and effective. Examples of AI technologies in debt collection include chatbots, predictive analytics, and automated communication systems. Uses Predictive analytics Predictive debt collection analytics is a powerful tool in AI collections. By analyzing patterns and trends in debtor behavior, AI can forecast the likelihood of repayment. This information allows financial institutions to tailor their collection strategies to individual debtors, improving the chances of successful recovery. Chatbots and virtual assistants AI-powered chatbots and virtual assistants handle routine customer interactions, providing instant responses to common queries. These tools can escalate complex issues to human agents when necessary, ensuring that customers receive the appropriate level of support. By automating routine tasks, chatbots free up human agents to focus on more complex cases. Automated communication AI can automate communication with debtors, sending payment reminders and notifications through various channels such as email, SMS, and phone calls. These messages can be customized based on debtor profiles, ensuring that communication is personalized and effective. Automated communication helps maintain consistent contact with debtors, increasing the likelihood of timely payments. Benefits Improved operational efficiency One of the most significant advantages of AI in debt collection is improved operational efficiency. AI can automate repetitive tasks such as sending payment reminders and processing payments, reducing the need for manual intervention. This automation speeds up the process, reduces costs, and minimizes human errors, ensuring more accurate and timely collections. Enhanced customer experience AI-driven chatbots and virtual assistants can provide personalized communication, enhancing the customer experience. These AI tools are available 24/7, allowing customers to get instant responses to their queries at any time. By offering a seamless and responsive service, financial institutions can improve customer satisfaction and engagement strategies. Better decision making AI collections leverage predictive analytics to assess debtor risk and provide data-driven insights. This information enables financial institutions to develop more effective collection strategies and prioritize high-risk accounts. By making informed decisions based on predictive models, institutions can optimize collections processes and increase their chances of successful debt recovery. Cost savings Automation through AI can lead to significant cost savings. Financial institutions can achieve higher profitability by reducing the need for human intervention and lowering operational costs. Additionally, increased recovery rates due to better cure strategies contribute to overall cost efficiency. Challenges and considerations While AI offers numerous benefits, there are challenges and considerations to keep in mind. Data privacy and security are paramount, as financial institutions must ensure compliance with regulations such as General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA). Balancing automation with the need for a human touch is also crucial, as some customers may prefer interacting with human agents. Additionally, addressing potential biases in AI algorithms is essential to ensure fair and equitable treatment of all debtors. Future Trends in AI and debt collection The future of AI in debt collection looks promising, with emerging technologies poised to make a significant impact. Integration of AI with other technologies such as blockchain and the Internet of Things (IoT) could further enhance the efficiency and security of debt collection processes. As AI continues to evolve, financial institutions must stay abreast of these trends to remain competitive and effective in their collection strategies. Our debt management and collection solutions With more than 25 years of experience and a comprehensive suite of collection products, our enhanced decisioning, improved processes, and account prioritization can enable your organization to move toward a customer-centric approach that helps reduce losses and control costs. AI in debt collection offers a myriad of benefits, from improved efficiency and enhanced customer experience to better decision-making and cost savings. By leveraging AI technologies such as predictive analytics, chatbots, and automated communication, financial institutions can optimize their debt collection strategies and achieve higher recovery rates. As the industry continues to evolve, embracing AI will be crucial for financial institutions looking to stay ahead of the curve. Click below to learn more about how we can help your organization optimize your debt collection strategies to lose less and recover more. Learn more Watch our webinar on-demand This article includes content created by an AI language model and is intended to provide general information.

Property managers and landlords nationwide aim to attract reliable, long-term tenants. Gaining insight into modern renters—their tenant data, financial situations, lifestyle choices, and key priorities—gives proactive property owners and managers a competitive edge in appealing to the ideal tenant. While certain elements of the rental landscape are not within the control of market professionals, knowledge is power, and understanding the preferences, spending habits, and profiles of today’s renters can inform their business approach and success. To understand today’s renter, Experian® took a deep dive into the tenant data of the rental market landscape in its 2024 report on the U.S. rental market. Among the principal findings, Generation Z and younger millennials' dominance in this sector is rising. Today’s Renter Profile Experian research reveals movements in the demographics of the average U.S. renter, now dominated by younger individuals and lower average-income consumers. These renters face challenges as they navigate the rising costs of securing housing. The 2024 rental report delves into these changes, highlighting age and income level shifts in tenant data. Critical to property managers and landlords, this information offers an understanding of their customer base and provides insight into the rental market landscape. Gen Z on the Rise: Gen Z alone accounts for 30.5% of all renters, and their numbers are increasing, up 3.5% over a year. Gen Z and younger millennials (adults under 35) represent over 50% of the rental population. Income Declines: From January 2023 to January 2024, the tenant data showed the average income of RentBureau® renters fell from $53,100 to $52,600[1]. Higher Rent Costs: In 2024, over 50% of renters paid $1,500+ per month, with the average U.S. renter's monthly payment of $1,713. Gen Z,the youngest renter population, spends an average of $1,600 monthly on rent. This context plays an important role in examining the state of the 2024 rental market. Propensity to Move In addition to age and economic well-being, landlords should take a keen interest in tenant data related to renters’ moving habits, as these provide valuable insights into behavior and market trends. Landlords generally prefer longer-term leaseholders, and renters who stay longer provide more stability to property management efforts. Not surprisingly, generational trends appear here as well. While over 90% of all renters retained one lease over a 2-year period, tenant data indicates that Gen Z and younger millennial renters tend to move more than other age groups. This tendency stems from various factors, including a willingness to relocate to more affordable regions or areas that better suit their lifestyle preferences. With today’s evolving work environment, remote work has opened new possibilities. Again, the overarching trend is that renters stay in one place for two years. In fact, this represents 92.5% of all renters. Signs of Overall Renter Financial Health Housing is a significant monthly cost of living expense, especially for many younger adults just starting out and lower-income individuals and families. The percentage of a renter’s monthly income allocated to rental costs clearly indicates housing affordability. This tenant data reflects that higher rent-to-income ratios (RTIs) signify that renters have less financial flexibility, as a larger portion of their monthly income is allocated to rent, leaving less available for essentials, savings, and discretionary spending. On average, renters spend over 44% of their monthly income on rent, and low-to-moderate-income renters dedicate over 50% to rent. General guidelines suggest that the percentage should be no more than 30%. Higher rental costs and declining annual incomes disproportionately impact those with fewer financial means. Credit and Other Signs Landlords and property managers value tenant data, such as renter applicants' stability. Indicators such as overall credit quality and negative payment history provide valuable insights into economic well-being. While negative payment history has improved slightly, the market shows a rise in delinquencies. Experian’s research highlights that while credit scores for the general U.S. population are on the rise, the trends for renters tell a slightly different story. Between May 2023 and May 2024, tenant data revealed a 2% increase in renters fell into the near-prime and subprime credit categories. Although the implications for the future remain uncertain, this data, combined with other analytics, may offer clues about market trends and opportunities. The Future The demand for rentals remains high, particularly among young adults and lower-income households. As the economy and market forces fluctuate, so do the financial pressures on renters and rental housing availability and costs. The role of young adults and lower-income households in the rental market will continue. Landlords and property managers must tune in to demographic realities in their efforts to develop risk management and success strategies. To learn more about the state of the U.S. rental market, download Experian’s 2024 rental report. [1] RentBureau income is based on modeled income, which is estimated using credit data and other predictive factors.

Financial institutions are constantly searching for ways to engage their consumers while providing valuable services that keep them financially sound and satisfied. At the same time, consumers are looking for ways to limit their risk and grow their financial power while improving and protecting their financial health. Both can be accomplished through personalized financial experiences.

According to Experian’s State of Automotive Finance Market: Q3 2021 report, leasing comprised 24.03% of new vehicle financing in Q3 2021.

Consumers are taking advantage of new car incentives, low interest rates and longer-term loans in order to ensure that their vehicle purchase is manageable.

As customer service continues its rapid shift to digital channels, consumer-finance companies have a powerful opportunity to engage customers and add value to the user experience. Credit education solutions can give customers valuable, personalized information and help lenders deliver relevant, prequalified credit offers that meet customers’ needs. The digital shift is well under way. The U.S. Consumer Financial Protection Bureau (CFPB), in its 2017 Consumer Credit Card Market Report, documents ongoing customer migration to digital platforms for every stage of the consumer interaction with creditors. In a survey of card lenders the CFPB characterizes as “mass market issuers,” which represent the majority of general-purpose and private-label credit cards issued in the U.S: In the past, mail and in-branch credit applications were the most popular conversion points for lenders, but today digital applications dominate, crushing direct mail as the biggest application generator. Beyond increasing customer acquisition and providing a channel for new applications, digital solutions are reshaping the entire consumer-finance process, creating a new end-to-end experience for banking consumers As consumers increasingly adopt digital channels for dealing with their finances, consumer finance companies face both a major opportunity and a significant challenge. Digital channels offer a powerful conduit for marketing additional products and services to customers, but fostering customer engagement with platforms can be tricky, as customer expectations are constantly evolving. The hallmark of digital channels is their convenience, which can be a double-edged sword for financial institutions. Quick, efficient digital services don’t give customers much reason to linger, and that can make it hard to create and act on cross-selling opportunities. So consumer finance companies that hope to boost engagement—and cross-sell opportunities—with their digital platforms must do so with valuable, compelling solutions—ideally interactive financial wellness tools that are personalized and highly relevant to the customer: Accenture, in its 2019 Global Financial Services Consumer Study, found significant majorities of consumers place high value on services including: Advice that is more relevant to personal circumstances Personalized services/ information that helps to reduce the risk of injury, loss, etc. Partnering with Experian, enables consumer-finance companies to provide customers with the kind of useful, high-value information customers want: Experian’s Credit Education services can help improve customers’ financial lives, Experian Identity Protection can help detect identity fraud and data theft. Experian’s credit-education services use customer credit data to help them set and track credit-improvement goals. Experian identity protection services can alert consumers immediately when suspicious activity is detected on their accounts (or in the names of their children) and can even help resolve cases of data abuse. The same access to credit data that powers Experian’s credit education services can help consumer-finance partners precision-target credit offers as their customers’ evolve in their needs and creditworthiness. Experian offers credit education and identity protection services as turnkey solutions, including fully hosted white-label platforms, hybrid options and APIs. Consumer-finance companies can quickly deploy these solutions, adapted to their own brand, to increase engagement and cross-sell opportunities and add meaningful value to the user experience. Learn more on our website

2018 was a whirlwind of a year – though it was not surprising when Google’s 2018 “most-searched” list showed Fornite GIFs ruled the internet, Black Panther was the most-Googled movie, and the Keto diet was trending (particularly in late December and early January, go figure). But, while Google’s most-searched terms of 2018 present pure pop-culture entertainment, they miss the mark on the trends we find most meaningful being principals of the financial services industry. What about the latest news in fintech? According to Business Insider, fintech companies secured $57.9 billion in funding in the first half of 2018 alone, nearing the previous annual record of $62.5 billion set in 2015. Taking it a step further, CBInsights reports that 24 of 39 fintech unicorns are based in North America. We won’t blame Google for this oversight. Faced with the harsh reality that the “most-searched” results are based on raw-data, perhaps it’s possible that people really do find Fortnite more exciting than financial services trends – but not us at Experian. We have been closely following disruption in the financial services space all while leading the charge in data innovation. When competing in environments where financial institutions vie for customer acquisition and brand loyalty, digital experience is not enough. Today’s world demands finance redefined – and fintechs have answered the call. Fintechs are, by far, among the most innovative technology and data-driven companies in the financial services industry. That’s why we built a team of seasoned consultants, veteran account executives and other support staff that are 100% dedicated to supporting our fintech partners. With our expert team and a data accuracy rate of 99.9%, there isn’t a more reliable fintech source. Perhaps this is one financial services trend that Google can’t ignore (we see you Google)! For more information regarding Experian’s fintech solutions, check out our video below and visit Experian.com/fintech.

According to a recent Experian survey, the majority of newlyweds say financial responsibility is a key quality in a spouse. Yet many neglect to discuss finances with their partner before marriage. Other factors unknown to newlyweds include: Their spouse’s credit score (40%) Their spouse’s annual income (25%) Their spouse’s long-term financial goals (31%) The amount of their spouse’s student loan debt (31%) As newlyweds face a blending of finances for a promising tomorrow, lenders can help by providing personalized credit education to start building strong relationships with these potentially loyal, creditworthy customers. Survey Results: Newlyweds and Credit