Churn Management is a critical issue to retain customers who want to change another service provider in telecommunications industry. It is a difficult to adopt churn management, since it is hard to pre-known when customers may be churn. Identifying right customers does not imply the decreasing of churn rate unless we can retain them successfully. Hence, we utilize a proof of concept process to tune iteratively the churn management process of applying data mining technology. To evaluate the process, we apply quadrant analysis with the two concluded indexes: Respond Rate and Effect Test, for churn management. This can help us easily understand the whole churn management process and discuss the churn problem in a complete view. We have applied the PoC project in our company and the experimental results show it is a good process to adopt data mining in churn management.
PoC (Proof of Concept) Data Mining Churn Model Telecom Churn Management