Collections Efficiency

-- By Wendy Greenawalt

The combined impact of rising unemployment, increasing consumer debt burdens and decreasing home values have caused lenders to shift resources away from prospecting and acquisitions to collection and recovery activities. As delinquencies and charge-off rates continue to increase, the likelihood of collecting on delinquent accounts decreases -- because outstanding debts mount for consumers and their ability to pay declines. Integrating optimized decisions into a collection strategy enables a lenders to assign appropriate collection treatments by assessing the level of risk associated with a consumer while considering a customer’s responsiveness to particular treatment options.  

Specifically, collections optimization uses mathematical algorithms to maximize organizational goals while applying constraints such as budget and call center capacity  -- providing explicit treatment strategies at the consumer level -- while producing the highest probability of collecting outstanding dollars. Optimization can be integrated into a real-time call center environment by targeting the right consumers for outbound calls and assigning resources to consumers most likely to pay.  It can also be integrated into traditional lettering campaigns to determine the number and frequency of letters, and the tone of each correspondence. The options for account treatment are virtually limitless and, unlike other techniques, optimization will determine the most profitable strategy while meeting operational and business constraints without simplification of the problem.

By incorporating optimization into a collection strategy that includes a predictive model or score and advanced segmentation, an organization can maximize collected dollars, minimize the costs of collection efforts, improve collections efficiency, and determine which accounts to sell off – all while maximizing organizational profits.

Back during World War I, the concept of “triage” was first introduced to the battlefield.  Faced with massive casualties and limited medical resources, a system was developed to identify and select those who most needed treatment and who would best respond to treatment.  Some casualties were tagged as terminal and received no aid; others with minimal injuries were also passed over.  Instead, medical staff focused their attentions on those who required their services in order to be saved.  These were the ones who needed and would respond to appropriate treatment. 

Our clients realize that the collections battlefield of today requires a similar approach.  They have limited resources to face this mounting wave of delinquencies and charge offs.  They also realize that they can’t throw bodies at this problem. They need to work smarter and use data and decisioning more effectively to help them survive this collections efficiency battle.

Some accounts will never “cure” no matter what you do.  Others will self-cure with minimal or no active effort. Taking the right actions on the right accounts, with the right resources, at the right time is best accomplished with advanced segmentation that employs behavioral scoring, bureau-based scores and other relevant account data. The actual data and scores that should be used depend on the situation and account status, and there is no one-size-fits-all approach.

 

How is your financial institution/organization working to improve your collections work stream?

What are some of your keys for collections efficiency?

What tools do you use to manage your collections workflow?

Optimization is a very broad and commonly used term today and the exact interpretation is typically driven by one's industry experience and exposure to modern analytical tools. Webster defines optimize as: "to make as perfect, effective or functional as possible". In the risk/collections world, when we want to optimize our strategies as perfect as technology will allow us, we need to turn to advanced mathematical engineering. More than just scoring and behavioral trending, the most powerful optimization tools leverage all available data and consider business constraints in addition to behavioral propensities for collections efficiency and collections management.

A good example of how this can be leveraged in collections is with letter strategies. The cost of mailing letters is often a significant portion of the collections operational budget. After the initial letter required by the Fair Debt Collection Practice Act (FDCPA) has been sent, the question immediately becomes: “What is the best use of lettering dollars to maximize return?” With optimization technology we can leverage historical response data while also considering factors such as the cost of each letter, performance of each letter variation and departmental budget constraints, while weighing the alternatives to determine the best possible action to take for each individual customer.

n short, cutting edge mathematical optimization technology answers the question:

"Where is the point of diminishing return between collections treatment effectiveness and efficiency / cost?"

 

In addition to behavioral models, collections management and account management groups need the ability to implement strategies in order to effectively handle and process accounts, particularly when the optimization of resources is a priority. While the behavioral models will effectively evaluate and measure the likelihood that an account will become delinquent or result in a loss, strategies are the specific actions taken, based on the score prediction, as well as other key information that is available when those actions are appropriate.

Identifying high-risk accounts, for example, may result in collections strategies designed to accelerate collections activity and execute more aggressive actions and increase collections efficiency. On the other hand, identifying low-risk accounts can help determine when to take advantage of cost-saving actions and focus on customer retention programs. Effective strategies also address how to handle accounts that fall between the high- and low-risk extremes, as well as accounts that fall into special categories such as first-payment defaults, recently delinquent accounts and unique customer or product segments.

To accommodate lenders with systems that cannot support either behavioral scorecards or automated strategy assignments a hosted collections software decisioning system can close the gap. To use these services master file data needs to be transmitted (securely) on a regular basis. The remote decision engine then calculates behavioral scores, identifies special handling accounts and electronically delivers the recommended strategy code or string of actions to drive treatments.
 

Part four

Improved change management process is one of the items at the very top of many collections professional’s wish list. In most legacy collections systems, the change management process is slow, expensive and labor intensive. It is not uncommon for an organization to take three, six or even 12 months to implement a system change, depending on the complexity of the request. Additionally, the expenses for a vendor or internal IT department to code, test and deploy the change can cost tens or hundreds of thousands of dollars. Aside from the cost and timelines, the impact to the business can be suffocating, particularly when the business users are unable to keep up with rapidly changing requirements.

Change control
One of the most exciting and innovative features of next generation collection management software systems is the ability to make changes quickly and efficiently, without the need for hard coding or extensive testing. Additionally, change control responsibilities can be granted to business users, who can then be empowered to make system changes, without the support of the software vendors or their internal IT departments. If desired, the change controls can be segmented or shared to ensure (via secure access rights) that only qualified individuals are empowered to make changes and that their skill and knowledge align with the assigned access. Regardless of where the control lies, the entire organization benefits from a change management process that is fast, efficient and easy to manage.

The types of system changes that benefit from modern technology include just about any imaginable task. Simple screen or scripting changes fall on one side of the complexity spectrum, while modifications to database layouts lean towards the other end. Linking to other complimentary systems and data sources is also quicker and easier which enables hooks to be implemented in days and weeks rather than months or years.

Financial benefit
The financial benefit metric of improved change management is relatively straight forward, although it is not always possible to accurately gauge the benefit ahead of the change event itself. For example, the financial value can be calculated as the benefit of the change itself (considering only the time it is in production) ahead of when it would have been deployed in a legacy environment. Additionally, we must factor the labor and fees that would have been spent to implement the change in the legacy system, less what was actually spent.

For example, let’s assume a given change adds $50,000 in monthly benefits. Let’s also assume that we can implement and test the change in a next generation system in one week, while the same change could take six months in a legacy system. The value of the faster change is then $300,000 and we have saved a significant amount of money in labor and fees above and beyond that.

One of the key benefits of next generation systems is that these collections efficiency changes can be made in days or weeks rather than months or years. Considering that in a year an organization with modern technology could design and implement many beneficial changes rather than just a handful, the return on investment increases exponentially with additional change management activity.

My next blog will be the last in this “next generation collections systems” series and brings together the financial benefits highlighted in my previous blogs in the form of an ROI case study. Common objections and relevant considerations will also be discussed.

Stay tuned!