Positive Customer Churn: An Application to Online Dating

被引:13
作者
Dechant, Andrea [1 ]
Spann, Martin [1 ]
Becker, Jan U. [2 ]
机构
[1] Ludwig Maximilians Univ Munchen, Inst Elect Commerce & Digital Markets, Geschwister Scholl Pl 1, D-80539 Munich, Germany
[2] Kuhne Logist Univ, Hamburg, Germany
关键词
positive churn; customer churn; customer retention; customer satisfaction; online dating; WORD-OF-MOUTH; VALUE CO-CREATION; RELATIONSHIP COMMITMENT; SOCIAL-EXCHANGE; SWITCHING COSTS; SATISFACTION; ANTECEDENTS; CONSEQUENCES; RETENTION; CONSUMERS;
D O I
10.1177/1094670518795054
中图分类号
F [经济];
学科分类号
02 ;
摘要
In the service literature, churn is primarily attributed to customers who are dissatisfied with a service. However, in several industries, such as health care, weight loss services, and online dating, satisfied customers also churn because the service delivers on its promise, for example, by providing a cure, facilitating weight loss, or creating the circumstances that allow a person to meet their partner. Considering these dual churn pathways, it is necessary for companies in these markets to create awareness of what drives positive and negative churn to address the corresponding challenges for managing customer relationships. This study defines and theoretically discusses the concept of positive churn and outlines its consequences for companies in the short- and long term. Based on an analysis of combined observational and survey data from 1,369 customers, we empirically demonstrate the necessity of accounting for positive and negative churn by analyzing this phenomenon in online dating. Furthermore, this article discusses opportunities for future research on positive churn.
引用
收藏
页码:90 / 100
页数:11
相关论文
共 81 条
  • [41] PROSPECT THEORY - ANALYSIS OF DECISION UNDER RISK
    KAHNEMAN, D
    TVERSKY, A
    [J]. ECONOMETRICA, 1979, 47 (02) : 263 - 291
  • [42] Kalbfleisch J., 2002, STAT ANAL FAILURE TI
  • [43] CUSTOMER SWITCHING BEHAVIOR IN-SERVICE INDUSTRIES - AN EXPLORATORY-STUDY
    KEAVENEY, SM
    [J]. JOURNAL OF MARKETING, 1995, 59 (02) : 71 - 82
  • [44] Kumar V, 2007, HARVARD BUS REV, V85, P139
  • [45] Regaining "Lost" Customers: The Predictive Power of First-Lifetime Behavior, the Reason for Defection, and the Nature of the Win-Back Offer
    Kumar, V.
    Bhagwat, Yashoda
    Zhang, Xi
    [J]. JOURNAL OF MARKETING, 2015, 79 (04) : 34 - 55
  • [46] Kumar V, 2010, J MARKETING, V74, P1
  • [47] If i'm not hot, are you hot or not? Physical-attractiveness evaluations and dating preferences as a function of one's own attractiveness
    Lee, Leonard
    Loewenstein, George
    Ariely, Dan
    Hong, James
    Young, Jim
    [J]. PSYCHOLOGICAL SCIENCE, 2008, 19 (07) : 669 - 677
  • [48] Bagging and boosting classification trees to predict churn
    Lemmens, A
    Croux, C
    [J]. JOURNAL OF MARKETING RESEARCH, 2006, 43 (02) : 276 - 286
  • [49] Customer-to-Customer Interactions: Broadening the Scope of Word of Mouth Research
    Libai, Barak
    Bolton, Ruth
    Bugel, Marnix S.
    de Ruyter, Ko
    Goetz, Oliver
    Risselada, Hans
    Stephen, Andrew T.
    [J]. JOURNAL OF SERVICE RESEARCH, 2010, 13 (03) : 267 - 282
  • [50] COLLINEARITY, POWER, AND INTERPRETATION OF MULTIPLE-REGRESSION ANALYSIS
    MASON, CH
    PERREAULT, WD
    [J]. JOURNAL OF MARKETING RESEARCH, 1991, 28 (03) : 268 - 280