Preventing Churn in Telecommunications: The Forgotten Network

被引:0
|
作者
Radosavljevik, Dejan [1 ]
van der Putten, Peter [1 ]
机构
[1] Leiden Univ, LIACS, NL-2300 RA Leiden, Netherlands
来源
关键词
Mobile Network; Churn Prevention; Postpaid; Explanatory Model; Customer Centricity; PARTIAL DEFECTION; MOBILE;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper outlines an approach developed as a part of a company-wide churn management initiative of a major European telecom operator. We are focusing on explanatory churn model for the postpaid segment, assuming that the mobile telecom network, the key resource of operators, is also a churn driver in case it under delivers to customers' expectations. Typically, insights generated by churn models are deployed in marketing campaigns; our model's insights are used in network optimization in order to remove the key network related churn drivers and therefore prevent churn, rather than cure it. The insights generated by the model have caused a paradigm shift in managing the network with the operator where the research was conducted.
引用
收藏
页码:357 / 368
页数:12
相关论文
共 50 条
  • [21] A Novel Framework for Mitigating Intra-operator Customer Churn in Telecommunications
    Zhang, Yongtao
    He, Shibo
    Li, Songyuan
    Chen, Jiming
    [J]. 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
  • [22] Preventing customer churn by using random forests modeling
    Ying, Weiyun
    Li, Xiu
    Xie, Yaya
    Johnson, Ellis
    [J]. PROCEEDINGS OF THE 2008 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION, 2008, : 429 - +
  • [23] Methods for Churn Prediction in the Pre-Paid Mobile Telecommunications Industry
    Brandusoiu, Ionut
    Toderean, Gavril
    Beleiu, Horia
    [J]. 2016 INTERNATIONAL CONFERENCE ON COMMUNICATIONS (COMM 2016), 2016, : 97 - 100
  • [24] Comparison of logistic regression and decision tree for customer churn prediction in Telecommunications
    Mand'ak, Jan
    [J]. PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON STRATEGIC MANAGEMENT AND ITS SUPPORT BY INFORMATION SYSTEMS (SMSIS), 2017, : 282 - 292
  • [25] A Study of the Relationships between Service Failures and Customer Churn in a Telecommunications Environment
    Perez, Michael J.
    Flannery, William T.
    [J]. PROCEEDINGS OF PICMET 09 - TECHNOLOGY MANAGEMENT IN THE AGE OF FUNDAMENTAL CHANGE, VOLS 1-5, 2009, : 3243 - 3251
  • [26] Turning telecommunications call details to churn prediction: a data mining approach
    Wei, CP
    Chiu, IT
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2002, 23 (02) : 103 - 112
  • [27] Customer Churn Prediction in Telecommunications Industry Based on Conditional Wasserstein GAN
    Su, Chang
    Wei, Linglin
    Xie, Xianzhong
    [J]. 2022 IEEE 29TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, AND ANALYTICS, HIPC, 2022, : 186 - 191
  • [28] Network competition and consumer churn
    Gans, JS
    [J]. INFORMATION ECONOMICS AND POLICY, 2000, 12 (02) : 97 - 109
  • [29] Impact of Social Network to Churn in Mobile Network
    Gamulin, Niko
    Stular, Mitja
    Tomazic, Saso
    [J]. AUTOMATIKA, 2015, 56 (03) : 252 - 261
  • [30] A Churn for the Beter Localizing Censorship using Network-level Path Churn and Network Tomography
    Cho, Shinyoung
    Nithyanand, Rishab
    Razaghpanah, Abbas
    Gill, Phillipa
    [J]. CONEXT'17: PROCEEDINGS OF THE 2017 THE 13TH INTERNATIONAL CONFERENCE ON EMERGING NETWORKING EXPERIMENTS AND TECHNOLOGIES, 2017, : 81 - 87