Social Effects on Customer Retention

被引:168
作者
Nitzan, Irit [1 ]
Libai, Barak [1 ]
机构
[1] Tel Aviv Univ, Leon Recanati Grad Sch Business Adm, Tel Aviv, Israel
关键词
customer retention; social networks; WORD-OF-MOUTH; DYNAMIC-MODEL; NETWORK; SERVICE; CONTAGION; DIFFUSION; COMMUNICATION; HETEROGENEITY; ANTECEDENTS; MANAGEMENT;
D O I
10.1509/jm.10.0209
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study explores the role of customers' social network in their defection from a service provider. The authors use data on communication among one million customers of a cellular company to create a large-scale social system composed of customers' individual social networks. The study's results indicate that exposure to a defecting neighbor is associated with an increase of 80% in the defection hazard, after controlling for a host of social, personal, and purchase-related variables. This effect is comparable in both magnitude and nature to social effects observed in the highly researched case of product adoption: The extent of social influence on retention decays exponentially over time, and the likelihood of defection is affected by tie strength and homophily with defecting neighbors and by these neighbors' average number of connections. Highly connected customers are more affected, and loyal customers are less affected by defections that occur in their social networks. These results carry important implications for the theoretical understanding of the drivers of customer retention and should be considered by firms that aim to predict and affect customer retention.
引用
收藏
页码:24 / 38
页数:15
相关论文
共 72 条
[1]  
[Anonymous], 2003, Diffusion of Innovations
[2]  
[Anonymous], 2010, Survival Analysis Using SAS: A Practical Guide
[3]  
[Anonymous], 2003, Theories of Communication Networks
[4]  
[Anonymous], 2009, SATISFACTION BEHAV P
[5]  
[Anonymous], 2008, ROLE SPATIAL PROXIMI
[6]  
[Anonymous], 2003, Linked: How everything is connected to everything else and what it means
[7]  
[Anonymous], 2009, CONNECTED
[8]   Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks [J].
Aral, Sinan ;
Muchnik, Lev ;
Sundararajan, Arun .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (51) :21544-21549
[9]  
Barnett-White Tiffany, 2002, J MARKETING, V8, P91
[10]  
Baumann C, 2005, J FINANC SERV MARK, V9, P231, DOI 10.1057/palgrave.fsm.4770156