Share these talks and lectures with your colleagues
Invite colleaguesApplications of survival analysis to customer management
Abstract
This paper gives an overview of the use of survival analysis techniques for measuring and predicting customer life cycles. The key concepts of these techniques are presented, together with case studies using descriptive and predictive survival analyses. The main applications for customer management are identified. Issues are discussed, including which products and services are most suitable for survival analysis, the distinction between market-wide and brand churn, and the practical questions that commonly arise when using these methods.
The full article is available to subscribers to the journal.
Author's Biography
Barry Leventhal is Director of BarryAnalytics. He has worked in marketing analytics for more than 30 years, having been with TNS, Pinpoint Analysis, Berry Consulting and Teradata. In 2009, he set up his own advanced analytics consultancy. Barry is Emeritus Chair of the Census and Geodemographics Group, which is an advisory board of The Market Research Society. His book, ‘Predictive Analytics for Marketers’, was recently published by Kogan Page.
Citation
Leventhal, Barry (2018, April 1). Applications of survival analysis to customer management. In the Applied Marketing Analytics: The Peer-Reviewed Journal, Volume 4, Issue 1. https://doi.org/10.69554/EPER9751.Publications LLP