Analyzing Consumer Behavior: the Impact of Retro Music in Advertisements on a Chocolate Brand and Consumer Engagement
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Date
2023
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
This study presents research utilizing binary classification models to analyze consumer behaviors such as chocolate consumption and retro music ad viewing. Retro music, with its potential to evoke nostalgic feelings in consumers, is used in advertisements, which can have a significant impact on brand perception and consumer engagement. Firstly, a model focusing on chocolate consumption was developed and tested. The model yields significant outcomes. Secondly, a model based on retro music ad viewing status was developed and tested. Significant potential findings were obtained. This study emphasizes the applicability of effective classification models that can be used to understand and predict consumer behaviors, yielding significant outcomes.
Description
ORCID
Keywords
Focusing, Analytical models, Retro music, Technological innovation, Predictive models, Intelligent systems, Neuromarketing, Consumer behavior
Turkish CoHE Thesis Center URL
Fields of Science
Citation
Filiz, G., Çakar, T., Soyaltın, T. E., Girişken, Y., & Türkyılmaz, C. A. (2023, October). Analyzing Consumer Behavior: The Impact of Retro Music in Advertisements on a Chocolate Brand and Consumer Engagement. In 2023 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-6). IEEE.
WoS Q
N/A
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N/A

OpenCitations Citation Count
N/A
Source
2023 Innovations in Intelligent Systems and Applications Conference (ASYU)
Volume
Issue
Start Page
1
End Page
6
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Scopus : 0
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