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Big data analysis of Customers’ information: A case study of Swedish Energy Company’s strategic communication

Big data analysis and inbound marketing are interlinked and can play a significant role in the identification of target audience and in the production of communication content as per the needs of target audience for strategic communication campaigns. By introducing and bringing the marketing concepts of big data analysis and inbound marketing into the field of strategic communication this quantitative study attempts to fill the gap in the limited body of knowledge of strategic communication research and practice. This study has used marketing campaigns as case studies to introduce a new strategic communication model by introducing the big data analysis and inbound marketing strategy into the three staged model of strategic communication presented by Gulbrandsen, I. T., & Just, S. N. in 2016. Big data driven campaigns are used to explain the procedure of target audience selection, key concepts of big data analysis, future opportunities, practical applications of big data for strategic communication practitioners and researchers by identifying the need for more academic research and practical use of big data analysis and inbound marketing in the strategic communication area. The study shows that big data analysis has potential to contribute in the field of strategic and target oriented communication. Inbound marketing and big data analysis has been used and considered as marketing strategy but this study is an attempt to shift the attention towards its role in strategic communication so there is a need to study big data analysis and inbound marketing with an open mind without confining it with some particular fields.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-388552
Date January 2019
CreatorsAfzal, Samra
PublisherUppsala universitet, Medier och kommunikation
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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