Metaverse and Fashion: An Analysis of Consumer Online Interest

Carmen Ruiz Viñals, Marta Gil Ibáñez () and José Luis Del Olmo Arriaga
Additional contact information
Carmen Ruiz Viñals: Business and Economics Department, Universitat Abat Oliba CEU, 08022 Barcelona, Spain
Marta Gil Ibáñez: Business and Economics Department, Universitat Abat Oliba CEU, 08022 Barcelona, Spain
José Luis Del Olmo Arriaga: Business and Economics Department, Universitat Abat Oliba CEU, 08022 Barcelona, Spain

Future Internet, 2024, vol. 16, issue 6, 1-15

Abstract: Recent studies have demonstrated the value that the Internet and web applications bring to businesses. Among other tools are those that enable the analysis and monitoring of searches, such as Google Trends, which is currently used by the fashion industry to guide experiential practices in a context of augmented reality and/or virtual reality, and even to predict purchasing behaviours through the metaverse. Data from this tool provide insight into fashion consumer search patterns. Understanding and managing this digital tool is an essential factor in rethinking businesses’ marketing strategies. The aim of this study is to analyse online user search behaviour by analysing and monitoring the terms “metaverse” and “fashion” on Google Trends. A quantitative descriptive cross-sectional method was employed. The results show that there is growing consumer interest in both concepts on the Internet, despite the lack of homogeneity in the behaviour of the five Google search tools.

Keywords: Google Trends; metaverse; fashion; marketing; SEO (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/16/6/199/pdf (application/pdf)
https://www.mdpi.com/1999-5903/16/6/199/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:16:y:2024:i:6:p:199-:d:1408550

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().