Products and Services

With the aggravation of market competition and improvement in the diversity of market selection, a lower customer loyalty and higher customer exit is seen. Subscriber churn has been worried and troublesome problem in the service sector, such as finance, insurance, internet, telecom, express delivery and other service industries.

In today’s high marketing costs, developing a new customer costs3 times more than keeping an old customer, some believe than this cost might be about 10 times. Therefore, efficient customer support and care is especially important. However, due to limitations of time, resources and funding for enterprise level, it is really difficult to provide customers on-to-one or personalized services. Therefore a User Churn alarm can be put in place for organizations to take effective measures in a timely manner.

By using logistics regression method and BP neural network model, it its easy to predict probability of customer switching the brand and other factors which influence customer loyalty.