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Two hearts in three-quarter time: How to waltz the social media/viral marketing dance

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  • Kaplan, Andreas M.
  • Haenlein, Michael

Abstract

The concept of viral marketing has been discussed in the literature for over 15 years, since Jeffrey Rayport first introduced the term in 1996. However, the more widespread use of social media has recently pushed this idea to a whole new level. We provide insight into the relationship between social media and viral marketing, and illustrate the six steps executives should take in order to dance the social media/viral marketing waltz. We define viral marketing as electronic word-of-mouth whereby some form of marketing message related to a company, brand, or product is transmitted in an exponentially growing way--often through the use of social media applications. We consider the three conditions that need to be fulfilled to create a viral marketing epidemic (i.e., giving the right message to the right messengers in the right environment) and present four different groups of social media viral marketing campaigns (nightmares, strokes-of-luck, homemade issues, and triumphs). We conclude with five points of caution that managers should heed when trying to launch their own viral marketing campaign.

Suggested Citation

  • Kaplan, Andreas M. & Haenlein, Michael, 2011. "Two hearts in three-quarter time: How to waltz the social media/viral marketing dance," Business Horizons, Elsevier, vol. 54(3), pages 253-263, May.
  • Handle: RePEc:eee:bushor:v:54:y:2011:i:3:p:253-263
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    References listed on IDEAS

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    1. Kaplan, Andreas M. & Haenlein, Michael, 2009. "The fairyland of Second Life: Virtual social worlds and how to use them," Business Horizons, Elsevier, vol. 52(6), pages 563-572, November.
    2. Chrysanthos Dellarocas, 2006. "Strategic Manipulation of Internet Opinion Forums: Implications for Consumers and Firms," Management Science, INFORMS, vol. 52(10), pages 1577-1593, October.
    3. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    4. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    5. Kristine de Valck & Roberts V. Kozinets & Andrea C. Wojnicki & Sarah J.S. Wilner, 2010. "Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities," Post-Print hal-00458424, HAL.
    6. Phelps, Joseph E. & Lewis, Regina & Mobilio, Lynne & Perry, David & Raman, Niranjan, 2004. "Viral Marketing or Electronic Word-of-Mouth Advertising: Examining Consumer Responses and Motivations to Pass Along Email," Journal of Advertising Research, Cambridge University Press, vol. 44(4), pages 333-348, December.
    7. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    8. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    9. Dobele, Angela & Lindgreen, Adam & Beverland, Michael & Vanhamme, Joelle & van Wijk, Robert, 2007. "Why pass on viral messages? Because they connect emotionally," Business Horizons, Elsevier, vol. 50(4), pages 291-304.
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