All auto lenders face the twin challenges posed by their highest risk customers:
How do you identify them, and how do you prevent them from becoming delinquent or defaulting on their loans? Unfortunately, most lenders only identify them once they become delinquent. However, advances in analytics now provide ways to identify those most likely to become delinquent
before it happens and recommend appropriate treatment strategies. By applying the right treatments, auto lenders can avoid costly collection efforts and deepen their relationships with the customers they want to keep. In this session, our presenters will discuss:
- How to use your data to manage your customer relationships – from pre-delinquency through delinquency
- The key elements of building a system that applies the most appropriate individual customer treatments based on your data and analytics
- How the auto industry is going digital to meet customer expectations while improving their business
- Identifying and effectively utilizing customer contact preferences
- Ways to dynamically adjust treatments based on customer behavior with the ability to scale and sequence multi-channel contact strategies, escalating treatments as account risk increases and de-escalating treatments as the accounts cure
- How to accomplish the challenge of contacting the right customer with the right message at the right time.
