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Predicting effective customer lifetime: an application of survival analysis for telecommunication industry

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Listed:
  • Gunjan Bansal
  • Adarsh Anand
  • V. S. S. Yadavalli

Abstract

Innovation helps brands in making customer’s lives better and more meaningful. The purpose of brand management is to create an impact that makes differences to its customers. This study describes certain demographic factors that usually impact the continuing probability of customers and thereby can help management in identifying the effective lifetime of customers towards a particular offering. For this purpose the technique of Survival Analysis has been used and the data has been collected from customers of telecommunication industries. Results depicted that the attitudinal aspect of customers for continuing a particular product is significantly impacted by the factors under consideration.

Suggested Citation

  • Gunjan Bansal & Adarsh Anand & V. S. S. Yadavalli, 2020. "Predicting effective customer lifetime: an application of survival analysis for telecommunication industry," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(10), pages 2305-2320, May.
    • Handle: RePEc:taf:lstaxx:v:49:y:2020:i:10:p:2305-2320
    DOI: 10.1080/03610926.2019.1570264
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    Cited by:

    1. Singhal, Shakshi & Anand, Adarsh & Singh, Ompal, 2020. "Studying dynamic market size-based adoption modeling & product diffusion under stochastic environment," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    2. Tu Van Binh & Ngo Giang Thy & Ho Thi Nam Phuong, 2021. "Measure of CLV Toward Market Segmentation Approach in the Telecommunication Sector (Vietnam)," SAGE Open, , vol. 11(2), pages 21582440211, June.

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