Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/2118
Title: Analyzing consumer behavior: the impact of retro music in advertisements on a chocolate brand and consumer engagement
Authors: Filiz, Gözde
Çakar, Tuna
Soyaltın, Tuğçe Ezgi
Girişken, Yener
Türkyılmaz, Ceyda Aysuna
Keywords: Technological innovation
Analytical models
Consumer behavior
Focusing
Predictive models
Intelligent systems
neuromarketing
retro music
Publisher: IEEE
Source: 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.
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.
URI: https://hdl.handle.net/20.500.11779/2118
https://doi.org/10.1109/ASYU58738.2023.10296776
ISBN: 979-8-3503-0659-0
ISSN: 2770-7946
Appears in Collections:Bilgisayar Mühendisliği Bölümü koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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