Leveraging social analytics data for identifying customer segments for online news media

Bernard J. Jansen, Soon Gyo Jung, Joni Salminen, Jisun An, Haewoon Kwa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work, we describe a methodology for leveraging large amounts of customer interaction data with online content from major social media platforms in order to isolate meaningful customer segments. The methodology is robust in that it can rapidly identify diverse customer segments using solely online behaviors and then associate these behavioral customer segments with the related distinct demographic segments, presenting a holistic picture of the customer base of an organization. We validate our methodology via the implementation of a working system that rapidly and in near real-time processes tens of millions of online customer interactions with content posted on major social media platforms in order to identify both the distinct behavioral segments and corresponding impactful demographic segments. We illustrate the functionality of the methodology with real data from a major online content provider with millions of online interactions from more than thirty countries. We further show one possible use for such information via the automatic generation of personas for an organization, which can be used for the formulation of marketing strategy, implementation of advertising plans, or development of products. The research results offer insights into competitive marketing and product preferences for the consumers of online digital content. We conclude with a discussion of areas for future work.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications, AICCSA 2017
PublisherIEEE Computer Society
Pages463-468
Number of pages6
ISBN (Electronic)9781538635810
DOIs
StatePublished - Mar 7 2018
Event14th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2017 - Hammamet, Tunisia
Duration: Oct 30 2017Nov 3 2017

Publication series

NameProceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Volume2017-October
ISSN (Print)2161-5322
ISSN (Electronic)2161-5330

Other

Other14th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2017
CountryTunisia
CityHammamet
Period10/30/1711/3/17

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Jansen, B. J., Jung, S. G., Salminen, J., An, J., & Kwa, H. (2018). Leveraging social analytics data for identifying customer segments for online news media. In Proceedings - 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications, AICCSA 2017 (pp. 463-468). (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA; Vol. 2017-October). IEEE Computer Society. https://doi.org/10.1109/AICCSA.2017.64