Customer Support Software Changed the Way We Manage Risk
Customer support software with predictive analytics serves both the customer’s and the company’s needs by building long-term, trusting relationships. Much of the financial mess we have witnessed in the past two years would have been avoided if the lending companies had used predictive analytics to qualify buyers and limit how much they could purchase.
Predictive analytics allow companies to treat each customer as an individual. Not only does the customer feel more cared for, but he feels his interests are being considered. He feels that the company is not trying to “get him in over his head,” but considering his ability to re-pay, his comfort zone, and his desires and needs.
On the other hand, predictive analytics allow companies to mitigate their risks. No company wants to loan a client money that can never be paid back. Qualifying customers and understanding their capabilities helps the company know the best offers to extend to each customer.
A company that is using predictive analytics to identify the causes of complaints and then prioritize actions to resolve those complaints is able to positively impact retention of valued customers. Such a company can understand how to meet their customer’s unique needs, build deeper engagement, and reduce attrition.
The greatest value of customer support software with predictive analytics is that data sources can be linked to build a picture of an individual customer’s attitudes and behaviors. Then the company can provide each customer exactly what he needs.
Using predictive analytics requires and enables a company to establish clear, well-defined goals and act upon them. Companies must commit to those goals and use stringent measures to monitor their progress toward those goals. This often requires operational and organizational changes in order to embed the insights gleaned from the predictive analytics across the entire enterprise. Specific goals are more easily tracked and measured than general goals such as “increase ROI.”
