Search engine marketing is not all gold: Insights from Twitter and SEOClerks

Reema Aswani, Arpan Kumar Kar, P. Vigneswara Ilavarasan, Yogesh K. Dwivedi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

194 Scopus citations

Abstract

The study highlights how digital marketing is often detrimental, when it is done by unskilled service providers. It highlights how the hyped services of search engine marketing (SEM) are not as successful as they seem to be and sometimes affect firms negatively. This study uses social media analytics to derive insights from Twitter using descriptive, content and network analytics. Methods like hashtag analysis, polarity and emotion analysis, word analysis, topic modeling and other relevant approaches have been used to mine user generated content. A qualitative case study on an e-market is used for validation of findings. SEM services provided by small organizations and freelancers are not as beneficial as the ones by established players. The services provided by these firms proved detrimental for the customers based on user experiences surrounding these services in the social media and forum specific discussions. This study highlights how SEM often not only fails to provide benefits but also destructs value if not done properly. Transaction costs like agency problems, coordination costs, loss of non-contractible value and cost of fit are also identified with potential fallouts which affect the long-term benefits. Inputs will be beneficial to practice in planning SEM and outsourcing.

Original languageEnglish
Pages (from-to)107-116
Number of pages10
JournalInternational Journal of Information Management
Volume38
Issue number1
DOIs
StatePublished - Feb 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 Elsevier Ltd

Keywords

  • Digital marketing
  • Search engine marketing
  • Search engine optimization
  • Social media
  • Twitter analytics

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management
  • Marketing
  • Library and Information Sciences
  • Artificial Intelligence

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