The ability to predict the number of active subscribers over a long time span is one of the basic elements of modern strategy planning in companies. Our solutions provide the means for long term forecasting of the risk of customer defection.

StatConsulting offers survival models for subscribers bound by fixed term contracts as well as for the ones without a binding contract. We have broad experience in analyzing and deploying solutions for estimating customer survival time in cellular phone networks. We make use of all the available information from the registration stage, the subscriber's duration with the company, debt collection data, and historical information about cell phone usage.

Our survival time analyses provide the means for long term forecasting of the size of the active customer base and allow for more accurate prediction of the intensity of customer defection. Moreover, the expected survival time is the main index of customer loyalty. It is used as the basis for determining how customer loyalty is impacted by loyalty programs. With the support of our analyses it is possible to rank various loyalty incentives targeted at regular customers, such as cell phones upgrades, bonus minutes or SMS packages, and subscription fee discounts.