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Author: Robert Viseur

Affiliation: Faculté Polytechnique (Université de Mons), Belgium

Keyword(s): Marketing, Advertising, Market Share, Media Share, Share of Voice, Word-of-Mouth, Management of Innovation, Search Engine, API, Webometrics.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Analytics ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Health Engineering and Technology Applications ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems ; Web Analytics

Abstract: The knowledge of the competitive environment (and, in particular, market share) is an important factor in the management of innovation. This type of information is not always accessible to small and medium enterprises. In addition, some sectors are changing rapidly under the pressure of technological change. We propose in this research a method for estimating the market share based on media share, based on the hit counts returned by search engines for each brand. We show the potential of this approach with a real example (the automotive industry) and discuss the limitations associated with the operating mode of search engines.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Viseur, R. (2013). Estimate the Market Share from the Search Engine Hit Counts. In Proceedings of the 2nd International Conference on Data Technologies and Applications - DATA; ISBN 978-989-8565-67-9; ISSN 2184-285X, SciTePress, pages 112-117. DOI: 10.5220/0004595101120117

@conference{data13,
author={Robert Viseur.},
title={Estimate the Market Share from the Search Engine Hit Counts},
booktitle={Proceedings of the 2nd International Conference on Data Technologies and Applications - DATA},
year={2013},
pages={112-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004595101120117},
isbn={978-989-8565-67-9},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Technologies and Applications - DATA
TI - Estimate the Market Share from the Search Engine Hit Counts
SN - 978-989-8565-67-9
IS - 2184-285X
AU - Viseur, R.
PY - 2013
SP - 112
EP - 117
DO - 10.5220/0004595101120117
PB - SciTePress