IDEAS home Printed from https://ideas.repec.org/a/eee/ijrema/v30y2013i3p236-248.html
   My bibliography  Save this article

Social interactions in customer churn decisions: The impact of relationship directionality

Author

Listed:
  • Haenlein, Michael

Abstract

The impact of social factors on individual-level decision making has been a subject of general interest within the marketing field. However, studies analyzing social interactions and social contagion have, to a great extent, focused on the importance of social interactions in the customer acquisition process and have relied on the use of undirected networks. Our study contributes to the literature stream by focusing on two elements that have been analyzed less frequently. Specifically, we focus on the importance of social interactions in the customer retention process within a directed social network. Using the customer base of a mobile phone provider, we rely on call detail records to investigate the churn behavior of 3431 focal actors. We provide evidence for social interactions in customer churn decisions and show that, at any given point in time, a focal actor is significantly and substantially more likely to defect from a provider if other individuals to whom that actor is socially connected have previously defected from the provider. However, this effect is limited to social contacts with whom the focal actor has outgoing calling relationships and who have churned relatively recently (in our sample, less than 5weeks prior to the point in time that is under examination). We therefore provide empirical evidence demonstrating that social effects do play a role in customer retention but only when tie directionality and churn recency are taken into account.

Suggested Citation

  • Haenlein, Michael, 2013. "Social interactions in customer churn decisions: The impact of relationship directionality," International Journal of Research in Marketing, Elsevier, vol. 30(3), pages 236-248.
  • Handle: RePEc:eee:ijrema:v:30:y:2013:i:3:p:236-248
    DOI: 10.1016/j.ijresmar.2013.03.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167811613000402
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijresmar.2013.03.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gilles Laurent & Raphaelle Lambert-Pandraud & Eric Lapersonne, 2005. "Repeat Purchasing of New Automobiles by Older Consumers: Empirical Evidence and Interpretations," Post-Print hal-00458431, HAL.
    2. Raghuram Iyengar & Christophe Van den Bulte & Thomas W. Valente, 2011. "Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 195-212, 03-04.
    3. Hoernig, Steffen, 2007. "On-net and off-net pricing on asymmetric telecommunications networks," Information Economics and Policy, Elsevier, vol. 19(2), pages 171-188, June.
    4. Michael Haenlein, 2011. "A social network analysis of customer-level revenue distribution," Marketing Letters, Springer, vol. 22(1), pages 15-29, March.
    5. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    6. Grabowski, Andrzej, 2007. "Interpersonal interactions and human dynamics in a large social network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(1), pages 363-369.
    7. Michael Braun & David A. Schweidel, 2011. "Modeling Customer Lifetimes with Multiple Causes of Churn," Marketing Science, INFORMS, vol. 30(5), pages 881-902, September.
    8. Carl, G. & Kühn, I., 2007. "Analyzing spatial autocorrelation in species distributions using Gaussian and logit models," Ecological Modelling, Elsevier, vol. 207(2), pages 159-170.
    9. Morten T. Hansen, 2002. "Knowledge Networks: Explaining Effective Knowledge Sharing in Multiunit Companies," Organization Science, INFORMS, vol. 13(3), pages 232-248, June.
    10. de Paula, Áureo, 2009. "Inference in a synchronization game with social interactions," Journal of Econometrics, Elsevier, vol. 148(1), pages 56-71, January.
    11. Kristiaan Helsen & David C. Schmittlein, 1993. "Analyzing Duration Times in Marketing: Evidence for the Effectiveness of Hazard Rate Models," Marketing Science, INFORMS, vol. 12(4), pages 395-414.
    12. Gabrielsen, Tommy Staahl & Vagstad, Steinar, 2008. "Why is on-net traffic cheaper than off-net traffic Access markup as a collusive device," European Economic Review, Elsevier, vol. 52(1), pages 99-115, January.
    13. Carolyn Yoon & Gilles Laurent & Helene Fung & Richard Gonzalez & Angela Gutchess & Trey Hedden & Raphaëlle Lambert-Pandraud & Mara Mather & Denise Park & Ellen Peters & Ian Skurnik, 2005. "Cognition, Persuasion and Decision Making in Older Consumers," Marketing Letters, Springer, vol. 16(3), pages 429-441, December.
    14. Gilles Laurent & Raphaelle Lambert-Pandraud, 2010. "Why Do Older Consumers Buy Older Brands? The Role of Attachment and Declining Innovativeness," Post-Print hal-00528378, HAL.
    15. Yael V. Hochberg & Alexander Ljungqvist & Yang Lu, 2007. "Whom You Know Matters: Venture Capital Networks and Investment Performance," Journal of Finance, American Finance Association, vol. 62(1), pages 251-301, February.
    16. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    17. Lemmens, A. & Croux, C., 2006. "Bagging and boosting classification trees to predict churn," Other publications TiSEM d5cb664d-5859-44db-a621-e, Tilburg University, School of Economics and Management.
    18. Ruth N. Bolton, 1998. "A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction," Marketing Science, INFORMS, vol. 17(1), pages 45-65.
    19. Gilles Laurent & Carolyn Yoon & Helene H. Fung & Richard Gonzalez & Angela H. Gutchess & Trey Hedden & Raphaelle Lambert-Pandraud & Mara Mather & Denise C. Park & Ellen Peters & Ian Skurnik, 2005. "Cognition, Persuasion and Decision Making in Older Consumers," Post-Print hal-00818685, HAL.
    20. Tommaso Valletti & George Houpis, 2005. "Mobile Termination: What is the “Right” Charge?," Journal of Regulatory Economics, Springer, vol. 28(3), pages 235-258, November.
    21. Gergely Palla & Albert-László Barabási & Tamás Vicsek, 2007. "Quantifying social group evolution," Nature, Nature, vol. 446(7136), pages 664-667, April.
    22. Ray Reagans, 2005. "Preferences, Identity, and Competition: Predicting Tie Strength from Demographic Data," Management Science, INFORMS, vol. 51(9), pages 1374-1383, September.
    23. Peter Zubcsek & Miklos Sarvary, 2011. "Advertising to a social network," Quantitative Marketing and Economics (QME), Springer, vol. 9(1), pages 71-107, March.
    24. Brown, Jacqueline Johnson & Reingen, Peter H, 1987. "Social Ties and Word-of-Mouth Referral Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 350-362, December.
    25. Christophe Van den Bulte & Raghuram Iyengar, 2011. "Tricked by Truncation: Spurious Duration Dependence and Social Contagion in Hazard Models," Marketing Science, INFORMS, vol. 30(2), pages 233-248, 03-04.
    26. Wesley R. Hartmann, 2010. "Demand Estimation with Social Interactions and the Implications for Targeted Marketing," Marketing Science, INFORMS, vol. 29(4), pages 585-601, 07-08.
    27. Duncan J. Watts & Peter Sheridan Dodds, 2007. "Influentials, Networks, and Public Opinion Formation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(4), pages 441-458, May.
    28. Matthew O. Jackson & Brian W. Rogers, 2007. "Meeting Strangers and Friends of Friends: How Random Are Social Networks?," American Economic Review, American Economic Association, vol. 97(3), pages 890-915, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Neilson, William & Wichmann, Bruno, 2014. "Social networks and non-market valuations," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 155-170.
    2. Sinan Aral & Dylan Walker, 2011. "Creating Social Contagion Through Viral Product Design: A Randomized Trial of Peer Influence in Networks," Management Science, INFORMS, vol. 57(9), pages 1623-1639, February.
    3. Landsman, Vardit & Nitzan, Irit, 2020. "Cross-decision social effects in product adoption and defection decisions," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 213-235.
    4. Meyners, Jannik & Barrot, Christian & Becker, Jan U. & Bodapati, Anand V., 2017. "Reward-scrounging in customer referral programs," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 382-398.
    5. Liye Ma & Ramayya Krishnan & Alan L. Montgomery, 2015. "Latent Homophily or Social Influence? An Empirical Analysis of Purchase Within a Social Network," Management Science, INFORMS, vol. 61(2), pages 454-473, February.
    6. Jing Wang & Anocha Aribarg & Yves F. Atchadé, 2013. "Modeling Choice Interdependence in a Social Network," Marketing Science, INFORMS, vol. 32(6), pages 977-997, November.
    7. Nejad, Mohammad G. & Amini, Mehdi & Babakus, Emin, 2015. "Success Factors in Product Seeding: The Role of Homophily," Journal of Retailing, Elsevier, vol. 91(1), pages 68-88.
    8. Xiao Fang & Paul Jen-Hwa Hu & Zhepeng (Lionel) Li & Weiyu Tsai, 2013. "Predicting Adoption Probabilities in Social Networks," Information Systems Research, INFORMS, vol. 24(1), pages 128-145, March.
    9. Nejad, Mohammad G. & Amini, Mehdi & Sherrell, Daniel L., 2016. "The profit impact of revenue heterogeneity and assortativity in the presence of negative word-of-mouth," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 656-673.
    10. Moldovan, Sarit & Muller, Eitan & Richter, Yossi & Yom-Tov, Elad, 2017. "Opinion leadership in small groups," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 536-552.
    11. Amatulli, Cesare & Guido, Gianluigi & Nataraajan, Rajan, 2015. "Luxury purchasing among older consumers: exploring inferences about cognitive Age, status, and style motivations," Journal of Business Research, Elsevier, vol. 68(9), pages 1945-1952.
    12. Sinan Aral, 2011. "Commentary--Identifying Social Influence: A Comment on Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 217-223, 03-04.
    13. Mark Armstrong & Julian Wright, 2009. "Mobile Call Termination," Economic Journal, Royal Economic Society, vol. 119(538), pages 270-307, June.
    14. Polo, Yolanda & Sese, F. Javier & Verhoef, Peter C., 2011. "The Effect of Pricing and Advertising on Customer Retention in a Liberalizing Market," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 201-214.
    15. Steven N. Durlauf & Yannis M. Ioannides, 2010. "Social Interactions," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 451-478, September.
    16. Fang Di & Richards Timothy J. & Grebitus Carola, 2019. "Modeling Product Choices in a Peer Network," Forum for Health Economics & Policy, De Gruyter, vol. 22(1), pages 1-13, June.
    17. Mundt, Philipp, 2021. "The formation of input–output architecture: Evidence from the European Union," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 89-104.
    18. Bolletta, Ugo, 2021. "A model of peer effects in school," Mathematical Social Sciences, Elsevier, vol. 114(C), pages 1-10.
    19. Yann Bramoullé & Bernard Fortin, 2009. "The Econometrics of Social Networks," Cahiers de recherche 0913, CIRPEE.
    20. Áureo de Paula, 2015. "Econometrics of network models," CeMMAP working papers CWP52/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ijrema:v:30:y:2013:i:3:p:236-248. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-research-in-marketing/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.