Abstract
This paper studies the impact of new telecom services tariff on the customers inside (customers who have ever chosen the original telecom service packages) and the revenue variation from the perspective of utility and customer choice behavior. On the basis of the quantification of telecom services tariff, a measurement model is built through multi-nominal logit (MNL) choice rule to predict the impact. Important indicators such as utility of service packages, transfer probability of the customers inside and expected change of revenue are obtained, which are useful for market orientation, revenue prediction and optimization management of the new telecom services tariff.
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