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A Viral Branching Model for Predicting the Spread of Electronic Word-of-Mouth (2009) Open access

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Titel A Viral Branching Model for Predicting the Spread of Electronic Word-of-Mouth
Gepubliceerd in ERIM report series research in management Erasmus Research Institute of Management. ISSN 1566-5283.
Auteur Lans, van der R.J.A. (Ralf); Bruggen, van G.H. (Gerrit); Eliashberg, J. (Jehoshua); Wierenga, B. (Berend)
Datum 2009-05-15
Trefwoord(en) Markov processes, branching processes, forecasting, online marketing, viral marketing, word of mouth
Taal Engels
Type working paper
Uitgever Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam (ERIM is the joint researchinstitute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam)
Samenvatting In a viral marketing campaign an organization develops a marketing message, and stimulates customers to forward this message to their contacts. Despite its increasing popularity, there are no models yet that help marketers to predict how many customers a viral marketing campaign will reach, and how marketers can influence this process through marketing activities. This paper develops such a model using the theory of branching processes. The proposed Viral Branching Model allows customers to participate in a viral marketing campaign by 1) opening a seeding email from the organization, 2) opening a viral email from a friend, and 3) responding to other marketing activities such as banners and offline advertising. The model parameters are estimated using individual-level data that become available in large quantities already in the early stages of viral marketing campaigns. The Viral Branching Model is applied to an actual viral marketing campaign in which over 200,000 customers participated during a six-week period. The results show that the model quickly predicts the actual reach of the campaign. In addition, the model proves to be a valuable tool to evaluate alternative what-if scenarios.
Publicatie http://hdl.handle.net/1765/16015
Persistent Identifier urn:NBN:nl:ui:15-1765/16015
Metadata XML
Repository Erasmus Universiteit Rotterdam
Erasmus Universiteit Rotterdam

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