Segmenting consumer reactions to social network marketing

Colin Leslie Campbell, Carla Renee Ferraro, Sean James Sands

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Purpose The purpose of this paper is to understand how consumers may be segmented with respect to their reactions to social network marketing. Design/methodology/approach Consumers are segmented on the basis of attitudes toward social network marketing and the association among psychological, economic, and socio-demographic covariates are explored using data from 883 consumers and latent-class analysis. Findings A total of five segments are identified - Passive, Talkers, Hesitant, Active, and Averse - along with significant covariates, such as information search, convenience, entertainment, age and gender that predict membership. Research limitations/implications Evidence was found of two segments that are highly impacted by social network marketing in terms of brand engagement, purchase intention and WOM referral intention. The most engaged - the Active - representing approximately 10 percent, is most open to interacting with brands in social networks, likely to make a purchase as a result of the campaign, and likely to spread WOM. The second group - Talkers - representing 28 percent, is also high on all outcomes, but not impacted as greatly in terms of purchase intentions. Practical implications There is a sizable share of the market (38 percent) that can be positively impacted through social network marketing. This paper reinforces that it is problematic to collapse all users of social networks. Originality/value The paper offers a more nuanced understanding of how consumers engage with social media by focusing on how consumers engage with social network marketing and by employing three segmentation bases: brand engagement, purchase intention, and WOM.
Original languageEnglish
Pages (from-to)432 - 452
Number of pages21
JournalEuropean Journal of Marketing
Volume48
Issue number3/4
DOIs
Publication statusPublished - 2014

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