Behavioral scoring is one of the most important tools that allow collections management and account management groups to evaluate accounts in an efficient and cost-effective manner. Although behavioral models are developed in a similar manner as new applicant models, there are several key differences that make behavioral models a better choice for many account management applications and collections workflow systems:By using only internal master file data as opposed to external credit bureau data, for example, accounts can be regularly evaluated without incremental cost. The most common practices are to score accounts on a weekly or monthly basis, which allows for quick strategic responses to a customer’s change in behavior. Frequent evaluations can result in automated or manual actions such as the acceleration or deceleration of collections efforts, adjusting credit limits and changing terms and conditions.The performance definitions of behavioral scores are very specific to each strategy and task, and it is typically not advised to use models in applications for which they were not designed. For example, a new applicant model definition of “bad” may be a high probability of charge off during the initial term of a line of credit. For collections strategy, a more appropriate bad definition might be the likelihood of an account rolling to the next delinquency bucket, regardless of the age of the account. Behavioral models also have a much shorter outcome period of three to four months versus new applicant models that forecast over one to two years. Since behaviors with one creditor can typically be recognized more quickly than with all lending institutions associated with a particular debtor, behavioral models provide a unique and timely evaluation of the ongoing risk once the account is already on the books. 

Regardless of the specific checks and overall processes incorporated into your Red Flags Identity Theft Prevention Program, the use of an automated decisioning strategy or strategies will allow you to: Deliver consistent responses based on objective authentication results, while eliminating subjectivity often found in more manual review processes.  Save time and money associated with a manual review process currently attributed to Red Flag Rule referrals.  Provide examiners a detailed process flow including decision elements.  Create champion / challenger flows to test, compare and alter new strategies over time.  Revise, over time, the specific elements used in your decisioning to appropriately weight each from a fraud detection and/or compliance perspective. Experian's consumer authentication products provide hosted decisioning strategies that alleviate the burden on our clients associated with maintenance and development of those processes.  Whether you facilitate your own strategies or use a service provider's hosted strategies, it is important to ensure you are maximizing their ability to balance pass rates, fraud detection and compliance requirements.

Have you ever wondered how your current collections workflow process evolved to its current state?  To start at the beginning, let’s rewind to medieval England … The Tallyman The earliest known collections system was essentially a door-to-door program, as there were no modern day devices to make the process more efficient. The system of record at that time was typically a hardwood stick with carved notches representing loans and payments between a lender and borrower. This door-to-door collector was known as the Tallyman, which referred to the collection of tally sticks he carried to document financial transactions. The beginning of modern times As technology evolved, telephones and letters became the collections management tools of choice, with a personal visit being a last resort action. The process where a collector managed the repayment strategy and relationships for his assigned customers was still in practice. Collections operations were typically in decentralized branches and small teams of skilled collectors were able to effectively manage this “cradle-to-grave” approach. Yesterday When expense management became a priority, the migration to larger, centralized operations became an industry trend.  Many companies found it difficult to hire large teams of highly-skilled collectors in their geographic regions and the bucket system was born. The concept was simple and effective — let the less experienced staff work the accounts that are the easiest to collect and focus the experienced collectors on the more difficult cases.  Advanced collections tools such as automatic dialers arrived on the market to increase efficiency and were shortly followed by decision engines used to support behavioral scoring and segmentation strategies. Today Current trends in collections include the migration towards a risk-based segmentation and strategy approach. Cutting edge tools and collection management software, designed to address today’s collections business objectives, are hitting the market and challenging the traditional bucket approach most of us are used to. As the economic conditions of the past few years deteriorated, many organizations began shifting their spending focus towards the collections department and this, in turn, has inspired investment and innovation from software, analytics and data vendors. New collections scores were recently unveiled that yield predictiveness that has never been seen and collections data products have become significantly more sophisticated. Modern technology is also empowering collections managers to control the destiny of their business units by freeing them from the constraints of over-burdened IT departments and inflexible systems. There is also an emerging trend to consider the collective power of multiple products working in tandem. Collections experts are finding that the benefit of the complete solution equals much more than just the sum of the parts. Tomorrow Once we all migrate to the next level and employ today’s modern marvels to make our businesses more productive and efficient, what’s next?  It’s highly probable that tomorrow’s collections workflow will consider the entire relationship and profit potential of a customer before a collections action is executed. Additionally, the value in considering the entire credit and risk picture associated with a customer will be better understood and we will learn when each of the holistic view options is most appropriate. There are a number of roadblocks in the way today, including disparate systems and databases and siloed business units with goals and objectives that are not aligned. Will we eventually get there? The business leaders with long-range vision certainly will … just as some unknown visionary had the initiative to embrace emerging technology and abandon his tally sticks. For more information and to read the Decision Analytics newsletter that features one of my previous blogs, "Next generation collections systems", click here.