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With rising consumer debt and an increasing number of consumers defaulting on loans, effective debt recovery strategies have never been more critical. Skip-tracing is the first-step in effective debt collection. This essential practice helps locate individuals who have become difficult to find, ensuring that you can recover outstanding debts efficiently. In this blog post, we'll explore skip-tracing best practices, offering valuable insights and practical tips and tools. Understanding and implementing these collection strategies can enhance your debt recovery efforts, improve overall efficiency, and increase your recovery rates. Understanding the importance of skip-tracing Skip-tracing is the process of locating individuals who have moved or otherwise become difficult to find. This technique is particularly important for financial institutions and debt collectors, enabling them to contact debtors and recover outstanding payments. Given the high stakes involved, mastering skip-tracing best practices is crucial for ensuring successful debt recovery. How to create an effective skip-tracing strategy 1. Use comprehensive skip-tracing data sources One of the foundational elements of an effective skip-tracing strategy is the use of comprehensive skip-tracing data sources. You can gather valuable information about a debtor's whereabouts by leveraging multiple databases, including public records, credit reports, and alternative data sources. The more data sources you utilize, the better chance of making right-party contact. 2. Prioritize data privacy While skip-tracing is essential for debt recovery, it's crucial to prioritize data privacy. Always adhere to the latest consumer contact debt collection regulations. This protects the individual's privacy and safeguards your organization from potential legal issues. 3. Stay updated with regulatory changes The regulatory landscape for debt collection and contacting consumers is constantly evolving. Staying updated with the latest changes ensures that your skip-tracing practices remain compliant with the law. Regularly review industry regulations, obtain proper consent from consumers and adjust your strategies accordingly. 4. Train your team Skip-tracing requires specialized skills and knowledge. Investing in regular training for your team ensures that they are equipped with the latest techniques and best practices. Offer workshops, webinars, and certification programs to keep your team up to date and improve their effectiveness. 5. Utilize skip-tracing software Skip-tracing software can significantly streamline the process and improve accuracy. Look for software solutions that offer comprehensive data integration, advanced search capabilities, and user-friendly interfaces. Implementing the right software can save time and resources while increasing right-party contact. 6. Monitor and evaluate performance Regularly monitoring and evaluating the performance of your skip-tracing efforts is essential for continuous improvement. Track key metrics such as right-party contact rates, time taken to locate individuals, contact method and cost. Use this data to identify areas for improvement and adjust your strategies accordingly. 7. Adapt to changing circumstances The world of debt management is dynamic, and circumstances can change rapidly. Be prepared to adapt your skip-tracing strategies to evolving situations. Whether it's changes in debtor behavior, new technology, or shifts in the regulatory landscape, staying flexible ensures that your skip-tracing efforts remain effective. Why choose Experian® for skip-tracing solutions Skip-tracing is a critical tool for financial institutions and debt collectors, enabling them to locate individuals and recover outstanding debts efficiently. Understanding and implementing collection best practices can improve your efforts and overall success rates. As a global leader in data and analytics, we offer extensive expertise and cutting-edge skip-tracing tools tailored to meet your unique needs.  Comprehensive data integration: Our skip-tracing tools integrate data from multiple sources, including credit reports, alternative data, public records, and proprietary databases. This comprehensive approach ensures that you have access to accurate and up-to-date information, improving right-party contact. Recent and reliable data: While many data providers rely on static or stale data, our skip-tracing data is frequently updated, so you can avoid inaccurate, outdated information. More than 1.3 billion updates are made per month, including new phone numbers, new addresses, new employment, payment history, and more. Advanced technology: Our skip-tracing solutions leverage advanced technology, including AI and ML, to analyze data quickly and accurately. Our state-of-the-art algorithms identify patterns and connections to help you locate individuals more efficiently. Commitment to data privacy: We prioritize data privacy and adhere to the highest ethical standards. Our skip-tracing solutions are designed to protect personal information while ensuring compliance with industry regulations. You can trust us to handle data responsibly and ethically. Ready to take your skip-tracing efforts to the next level? Learn more Access white paper

Open banking has been leveraged for years in the U.S. The anticipated U.S. regulation under section 1033 of the Dodd-Frank Act, combined with the desire to expand lending universes, has increased interest and urgency among financial institutions to incorporate open banking flows into their workstreams.  With technological improvements, increased data availability, and increasing consumer awareness around the benefits of data value exchange, financial service providers can use consumer-permissioned data to gain new insights. For example, access to bank account transactional data, permissioned appropriately, provides important attributes into risk, spend and income behaviors, and financial health, while equipping institutions with intelligence they can harness to help meet various business objectives.  Current state of open banking Open Banking use cases are extensive and will continue to expand as access to permissioned data becomes more common. Second chance underwriting, where a lender retrieves additional insights to potentially reverse the primary declination, is the most prevalent use case in the market today.  Where a consumer may have limited or no credit history, this application of cashflow attributes and scores in a decisioning flow can help many consumers access financial services where they cannot be fully underwritten on credit data alone.  And it is not just consumer behavior and willingness to permission their data that will accelerate open banking in financial services. The technology enabling access, security, standardization, and categorization is equally critical. New and existing players across the ecosystem are rolling out new solutions to drive results for financial institutions.  The benefits of open banking are vast as highlighted recently by Craig Focardi, Principal Analyst at Celent: “The final adoption of the CFPB’s proposed rule under Section 1033 will accelerate open banking in the US,” said Focardi. “Although open banking is operating effectively under existing consumer protection/privacy and related laws and regulations, this modern opening banking rule will enhance consumer control over their data for privacy and security, help consumers better manage their finances, and help them find the best products and banking relationships. For financial institutions, it will level the competitive playing field for smaller financial institutions, increase competition for customer relationships, and incentivize all financial institutions to invest in technology, data, and analytics to adopt open banking more quickly.” Despite the wealth of information that open banking can offer, institutions are at varying stages of maturity when it comes to using this data in production, with fintechs and challenger banks leading the way. However, most banks are researching and planning to take advantage of the insights unlocked through open banking – particularly cashflow data.  But why is there not wider adoption when this ‘new’ data can offer such rich and actionable insights?  The answer varies, but it is top of mind for risk officers, analysts and marketers. Some financial institutions are worried about application drop-off as consumers move through a data consent journey. Others are taking a wait-and-see approach as they are concerned about incorporating open banking flows only to see regulation upend the application of permissioned data.   Regardless of readiness, most organizations are in various stages of testing new permissioned data sources to understand the implications. Experian has helped many financial institutions understand the power of consumer-permissioned data through analytics and specific tests leveraging client transactional data and our cashflow models. On aggregate, we see cashflow data perform well on its own in determining a consumer’s likelihood of going 60 days past due over 12 months; however, it is best used in combination with traditional and alternative credit data to achieve optimal performance of underwriting models.   But what about consent? Will consumers be open to permissioning their data?  From our research, we see that consumers are willing to give permission if the benefits are explained and they understand how their data will be used. In fact, 70% of consumers report they are likely to share banking data for better loan rates, financial tools, or personalized spending insights.1 Experian reveals new solutions for open banking We at Experian are excited about the benefits open banking can provide, including: Giving more control to consumers: Consumers are hungry for more control over their data. We have seen this ourselves with Experian Boost®. When the benefits of data sharing are properly explained, and consumers can control when and how that data is used, it is empowering and allows consumers the potential to unlock new financial opportunities.   Improving risk assessment: As mentioned above, analysis shows that cash flow data (transactional open banking data) is very predictive on its own. Adding our credit data delivers even greater predictability, enabling lenders to score more consumers and offer the right products, services, and pricing.   Augmenting existing strategies: Open banking is not a new strategy; it augments and improves many existing processes. Institutions do not need to start something from scratch; they can layer incremental data into existing processes for an improved risk assessment, deeper insights, and a better customer experience.  Open banking is not a new strategy; it augments and improves many existing processes. Institutions do not need to start something from scratch; rather, they can layer incremental data into existing processes for an improved risk assessment, deeper insights, and a better customer experience.  We’re helping institutions unlock the power of open banking data by transforming transaction data into precise categories, a foundational component of cashflow analytics that feeds into the calculation of attributes and scores. These new Cashflow Attributes can be easily plugged into existing underwriting, analytic, and account management use cases. Early indicators show that Cashflow Attributes can boost predictive accuracy by up to 20%, allowing lenders to drive revenue growth while mitigating risk.2 Open banking is emerging in the industry across various use cases. Many are only just realizing the potential insights and benefits this can have to consumers and their organizations. How will you leverage open banking? Learn more about how we're helping address open banking 1Atomik Research survey of 2,005 U.S. adults online, matching national demographics. Fieldwork: March 17-21, 2024. 2Experian analysis based on GINI predictability. GINI coefficient measures income or wealth inequality within a population, with 0 indicating perfect equality and 1 indicating perfect inequality, reflecting predictive capability.

Finding a balance between providing secure financial services and user-friendly experiences is no easy task. One of the biggest hurdles? Ensuring identity authentication is robust and reliable. Let's walk through the essentials of identity authentication, its importance, and what effective solutions look like. What is identity authentication? Identity authentication is the process of proving that an individual is who they claim to be. Unlike identity verification, which simply confirms that the provided identity information is valid, identity authentication goes a step further by ensuring that the person presenting the information is indeed its rightful owner. At its core, identity authentication relies on various methods to verify identities. These methods can range from simple password checks to more sophisticated technologies like biometrics and adaptive authentication. The goal is to create multiple layers of security that make it difficult for unauthorized users to gain access. Types of authentication methods Several types of identity authentication methods are used today. Passwords and PINs are the most basic forms, but they are increasingly being supplemented or replaced by more advanced solutions like multi-factor authentication (MFA) , biometric scans, and knowledge-based authentication (KBA). Each method has its advantages and limitations, making it crucial for financial institutions to choose the right mix. Authentication vs. verification While often used interchangeably, identity verification and identity authentication serve different purposes. Identity verification solutions confirm that the provided identity information matches public records, whereas identity authentication solutions ensure that the person presenting the information is its true owner. Identity verification is typically a one-time process conducted at the beginning of a relationship, such as when opening a new bank account. On the other hand, identity authentication is an ongoing process, ensuring that each login or transaction is carried out by a legitimate user. Though different, these processes are crucial for financial institutions. They work together to provide a robust security framework that minimizes the risk of fraud while offering a seamless user experience. READ: Learn how to overcome online identity verification challenges. Why it's important for financial institutions The importance of identity authentication for financial institutions cannot be overstated. With the rise of cyber threats and sophisticated fraud schemes like synthetic identity fraud, robust identity authentication measures are more critical than ever. Enhancing security. Effective authentication significantly enhances the security of financial transactions. By preventing unauthorized access, sensitive information and financial assets are safeguarded. Advanced solutions like multi-factor authentication solutions add extra layers of protection. Building trust with customers. Robust authentication also helps build trust with customers. When users feel confident that their accounts and personal information are secure, they are more likely to engage with the institution and utilize its services. Regulatory compliance. For financial institutions, compliance with regulatory standards is paramount. Many regulations now mandate strong identity authentication measures to protect against fraud and ensure the security of financial transactions. What to look for in an identity authentication solution The ideal solution should offer a balance between security, user experience, and cost-effectiveness. Adaptive authentication solutions use machine learning algorithms to assess the risk level of each transaction. This allows for a dynamic approach to authentication, where additional checks are only required when necessary. Multi-factor authentication (MFA) solutions add an extra layer of security by requiring users to provide multiple forms of identification. This could include something they know (password), something they have (smartphone), and something they are (biometric data). Knowledge-based authentication (KBA) solutions ask users to answer questions based on their personal information. This method is particularly useful for verifying identities during online transactions and account recoveries. Experian’s Knowledge IQSM offers KBA with over 70 credit- and noncredit-based questions to help you authenticate consumers by asking noninvasive questions that can be answered quickly by the true consumer. Comprehensive identity solutions take a holistic approach by integrating various methods and technologies. Experian’s identity solutions offer a range of services, from risk-based authentication to automated identity verification, ensuring comprehensive protection. Importance of user experience. While security is paramount, user experience should not be overlooked. The ideal identity authentication solution should be seamless and user-friendly, minimizing friction during the authentication process. READ: By adopting a consumer-centric approach to digital identity, organizations can offer customers a better experience while minimizing risk. How Experian can help Identity authentication is a critical component of modern financial institutions. By implementing robust and user-friendly solutions, organizations can enhance security, build customer trust, and comply with regulatory standards. Whether it's through adaptive authentication, multi-factor authentication, or knowledge-based authentication, the goal is to create a secure and seamless experience for users. Ready to take your identity strategy to the next level? Explore Experian’s identity solutions today and discover how they can help your institution achieve its security and user experience goals. Learn more This article includes content created by an AI language model and is intended to provide general information.