Şahin, AhmetCan, ZehraAlbey, ErinçFilipe, J.Quix, C.Bernardino, J.2020-05-192020-05-192018978-331994808-91865-0929http://hdl.handle.net/10679/6580https://doi.org/10.1007/978-3-319-94809-6_2Customers with prepaid lines possess higher attrition risk compared to postpaid customers, since prepaid customers do not sign long-term obligatory contracts and may churn anytime. For this reason, mobile operators have to offer engaging benefits to keep prepaid subscribers with the company. Since all such offers incur additional cost, mobile operators face an optimization problem while selecting the most suitable offers for customers at risk. In this study, an offer management framework targeting prepaid customers of a telecommunication company is developed. Proposed framework chooses the most suitable offer for each customer through a mathematical model, which utilizes customer lifetime value and churn risk. Lifetime values are estimated using logistic regression and Pareto/NBD models, and several variants of these models are used to predict churn risks using a large number of customer specific features.engrestrictedAccessconferenceObject814274510.1007/978-3-319-94809-6_2Customer lifetime valueOffer managementRFMPareto/NBDLogistic regressionMobile subscribersPrepaid subscribersTelecommunication2-s2.0-85049674688