ONLINE RETARGETING ADVERTISEMENTS AND CONSUMER BEHAVIOUR
DOI:
https://doi.org/10.29121/shodhkosh.v5.i6.2024.1763Keywords:
Online Retargeting Advertisements, Purchase Decisions, Consumer BehaviorAbstract [English]
The effect of online retargeting adverts on customers' buying decisions is examined in this study article. A mixed-methods research approach was used, incorporating the collection of both quantitative and qualitative data. 500 web users who were exposed to retargeting adverts made up the sample. According to the data, there is a link between seeing retargeting advertising and making decisions to buy, suggesting that the likelihood of buying increases with exposure to these ads. The significance of individualised and non-intrusive ad experiences is highlighted by the enormous influence that attitudes and perceptions towards retargeting advertising have on purchasing decisions. The report emphasises the necessity for marketers to take into account the sustainability and long-term implications of retargeting techniques, including elements like ad fatigue and privacy issues. The limitations of the study include a focus on a specific demographic and the use of self-reported measures. Future research could explore individual differences, the specific content and design aspects of retargeting ads, and comparative effectiveness across different advertising channels. The findings contribute to the understanding of the complex relationship between retargeting advertisements and consumer behavior, providing insights for marketers to optimize their advertising strategies and enhance purchase decisions.
References
Blattberg, R. C., & Deighton, J. (1996). Manage Marketing by the Customer Equity Test. Harvard Business Review, 74(4), 136-144.
Deighton, J., & Kornfeld, L. (2009). Interactivity's Unanticipated Consequences for Marketers and Marketing. Journal of Interactive Marketing, 23(1), 4-10. DOI: https://doi.org/10.1016/j.intmar.2008.10.001
Gafni, R., & Aladjem, T. (2016). The Effect of Retargeting on Consumer Online purchase : The Case of Comparing loyal Versus non-loyal customers. International Journal of Research in Marketing, 33(4), 972-990.
Huang, H., Li, J., & Zhang, J. (2018). The Impact of Retargeting Ads on Online Purchase Decisions : A dynamic Analysis of users' Browsing Behavior. Decision Support Systems, 108, 14-25.
Kim, Y., & Park, J. (2017). The Effectiveness of Personalized Retargeting Ads : A Study of Consumers' Responses in an oNline Shopping Context. Journal of Interactive Advertising, 17(2), 100-113.
Li, H., Zhang, J., Liu, Y., & Sun, X. (2019). Investigating the Effectiveness of Retargeting in online Advertising : A natural field experiment. Electronic Commerce Research and Applications, 34, 100819.
Phang, C. W., Sutanto, J., & Tan, C. H. (2017). Understanding Consumer Attitudes Toward Online Advertising : The Roles of Intrusiveness, Perceived Benefits, and ad Skepticism in Influencing ad Avoidance. International Journal of Human-Computer Interaction, 33(3), 207-217.
Sengupta, A., & Goodhardt, G. J. (2015). Assessing the Incremental value of Retargeting for Online Display Advertising. Journal of Marketing Research, 52(3), 378-396.
Sen, S., & Sengupta, A. (2018). Retailer advertising Strategy and Return on Advertising Investment : An Empirical Investigation of the Moderating Effects of Retailer Type. Journal of Retailing, 94(3), 310-326.
Yao, Y., & Zhou, R. (2019). An Empirical Study of the Impact of Retargeting Ads on Consumer Purchase Behavior in the Context of online Fashion Shopping. Electronic Commerce Research, 19(4), 799-820.
Verhellen, Y., Dens, N., De Pelsmacker, P., & Goos, P. (2014), Drivers of Advertising Avoidance and its Outcomes : A conceptual Model and an Empirical Exploration. Journal of Advertising, 43(2), 105-113.
Wang, D., & Zhang, L. (2012), Advertising Repetition and Quality Perception. Journal of Marketing Research, 49(6), 773-787. DOI: https://doi.org/10.1509/jmr.11.0045
Zeng, H., & Wu, X. (2017). Online Advertising Effectiveness : A Model to Quantify the Impact of Multiple Creative ad units. Electronic Commerce Research and Applications, 25, 13-24.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Dr. Sandip Sane, Nilesh Anute, Dr. Diksha Tripathi, Dr. Vanandana Hindurao Shinde

This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.












