Viral Marketing : Need Of The Hour
Keywords:
traditional marketing, modern marketing, recommendation networkAbstract
Marketers have been using electronic tools for many years, but the Internet and other new technologies created a flood of interesting and innovative ways to provide and enhance customer value. Not only did this challenge the fundamental basics of traditional marketing, but it also helped to shape the practice of modern marketing The advancement of technology has not only created new ways for marketers to spread information, but also enabled consumers to spread information on-line or through other digital mediums that challenge traditional marketing practices. Since viral marketing is still a new and unexplored concept for most of the markets, it is the purpose of this article to determine if it is not just another buzzword. To establish if marketers can practice viral marketing, the concept of viral marketing is clarified before addressing more specific issues related to it. We present an analysis of a person-to-person recommendation network, on a lot of products. We observe the propagation of recommendations and the cascade sizes, which we explain by a simple stochastic model. We analyze how user behavior varies within user communities defined by a recommendation network. Product purchases follow a ’long tail’ where a significant share of purchases belongs to rarely sold items. We establish how the recommendation network grows over time and how effective it is from the viewpoint of the sender and receiver of the recommendations. While on average recommendations are not very effective at inducing purchases and do not spread very far, we present a model that successfully identifies communities, product and pricing categories for which viral marketing seems to be very effective.
References
Roy M. Anderson and Robert M. May. Infectious diseases of humans: Dynamics and control. Oxford Press, 2002.
C. Anderson. The Long Tail: Why the Future of Business Is Selling Less of More. Hyperion, 2006.
Anonymous. Profiting from obscurity: What the ”long tail” means for the economics of e-commerce. Economist, 2005.
Norman Bailey. The Mathematical Theory of Infectious Diseases and its Applications. Griffin, London, 1975.
Frank Bass. A new product growth for model consumer durables. Management Science, 15(5):215–227, 1969.
Erik Brynjolfsson, Yu Hu, and Michael D. Smith. Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management Science, 49(11):1580–1596, 2003.
D. Bowman and D. Narayandas. Managing customerinitiated contacts with manufacturers: The impact on share of category requirements and word-of-mouth behavior. Journal of
Marketing Research, 38(3):281 – 297, August 2001.
J. J. Brown and P. H. Reingen. Social ties and word-of mouth referral behavior. The Journal of Consumer Research, 14(3):350–362, 1987.
Po Bronson. Hotmale. Wired Magazine, 6(12), 1998.
Kevin Burke. As consumer attitudes shift, so must marketing strategies. 2003. [Chi03] David Maxwell Chickering. Optimal structure identification with greedy search. JMLR, 3:507–554, 2003.
Damon Centola and Michael Macy. Complex contagion and the weakness of long ties. ftp://hive.soc.cornell.edu/mwm14/ webpage/WLT.pdf, 2005.
Judith Chevalier and Dina Mayzlin. The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3):345, 2006.
Aaron Clauset, M. E. J. Newman, and Cristopher Moore. Finding community structure in very large networks. Physical Review E, 70:066111, 2004.
Arnaud DeBruyn and Gary Lilien. A multi-stage model of wof word of mouth through electronic referrals. 2004.
P. Erd¨os and A. R´enyi. On the evolution of random graphs. Publ. Math. Inst. Hung. Acad. Sci., 5:17–61, 1960.
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