• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Fiona Chu
    • Abstracting/ Indexing:  CNKI, Google Scholar, Electronic Journals Library, Crossref, Ulrich's Periodicals Directory, MESLibrary, etc.
    • E-mail: joebm.editor@gmail.com
JOEBM 2023 Vol.11(2): 63-67
DOI: 10.18178/joebm.2023.11.2.739

Brand Content Optimization: A Major Challenge for Sellers on Marketplaces

Abstract—Today, more and more consumers are purchasing their products and services online. At the same time, the penetration rate of very small and medium-sized businesses on marketplaces continues to increase, which has the direct impact of intensifying competition between sellers, thus, only the best-optimized deals are ranked well by algorithms and are visible to consumers. However, it is almost impossible to know all the Brand Content rules and criteria established by marketplaces, which is essential to optimizing their product sheets, especially since these rules change constantly. In this paper, we propose to detail this question of Brand Content optimization by taking into account the case of Amazon, in order to capture the scientific dimension behind such a subject. In a second step, we will present the genesis of our research project, DEEPERFECT, which aims to set up original methods and effective tools, in order to help sellers, present on marketplaces, in the optimization of their branded content.

Index Terms—E-commerce, scoring, marketplace, Amazon, Brand content, product sheets

Richardson Ciguene, Bertrand Marron, and Nicolas Habert are with Bizon Research and Development, France.
*Correspondence: richardson.ciguene@bizon.solutions (R.C.)

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Cite:Richardson Ciguene, Bertrand Marron, and Nicolas Habert, "Brand Content Optimization: A Major Challenge for Sellers on Marketplaces," Journal of Economics, Business and Management vol. 11, no. 2, pp. 63-67, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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