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Actionable Social Media Competitive Analytics For Understanding Customer Experiences

Journal of Computer Information SystemsPublished 15 January 2016
Wu He, Xin Tian, Yong Chen, Dazhi Chong
Citations99
SJR quartileQ1
SJR score0.88
SNIP1.22

TL;DR

A framework to integrate several techniques including quantitative analysis, text mining, and sentiment analysis for analyzing and comparing social media content from business competitors is described.

Abstract

A large amount of user-generated content is now freely available on social media sites. To increase their competitive advantage, companies need to monitor and analyze not only the customer-generated content on their own social media sites, but also the content on their competitors’ social media sites. In this article, we describe a framework to integrate several techniques including quantitative analysis, text mining, and sentiment analysis for analyzing and comparing social media content from business competitors. Specifically, we conducted an in-depth case study which applies our developed framework to the analysis and comparison of social media content on the Facebook sites of the three largest drugstore chains in the United States: Walgreens, CVS, and Rite Aid. We found similarities and differences in the social media use among the three drugstore chains. We discuss the implications of our findings and provide recommendations to help companies develop their social media competitive analysis strategies.

Keywords

Social SciencesComputer SciencePhysics and Astronomy