Effectiveness of Personalized Advertising in E-commerce Platforms
DOI:
https://doi.org/10.61173/c93aqe83Keywords:
Personalized Advertising, E-commerce, Cus-tomer Engagement, Conversion Rate, Privacy ConcernsAbstract
This research aims to understand when personalized advertising is most helpful in e-commerce sites from the perspective of customer engagement rate and conversion rate. Given the growing popularity of customized advertising in the context of digital marketing, the efficiency of such an approach is of great interest to companies. The study acquires rich data by combining an online questionnaire, interviews with marketers, and data from e-commerce promotional campaigns. Targeted advertisements greatly influence customer attention and are supported by higher CTR alongside extended web presence times on observed websites. Also, there were increased conversion rates, especially where the ad was produced based on preferences, hence enhancing the purchase theory of personalisation. In that case, most marketing professionals recognize the efficiency of personalized adverts, but they state the enhancement of the difficulties, for example, privacy issues and advert exhaustion. The two significant practical implications of the study for businesses are that both engagement and conversion benefit from personalized ads. However, businesses must be careful not to oversteer with personalisation beyond the user’s best interest, as it will erode customer trust in the long run. Nevertheless, timing also has the effect of reducing other problems like ad fatigue when ads are placed at the most appropriate time and are more related to the content of the website.
References
Bleier, A., & Eisenbeiss, M. (2015). Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where. Marketing Science, 34(5), 669–688. https://doi. org/10.1287/mksc.2015.0930 Boerman, S. C., Kruikemeier, S., & Zuiderveen Borgesius, F.
J. (2017). Online Behavioral Advertising: a Literature Review Dean&Francis Shilun Pan and Research Agenda. Journal of Advertising, 46(3), 363–376. https://doi.org/10.1080/00913367.2017.1339368
Bright, L. F., & Daugherty, T. (2012). Does customization impact advertising effectiveness? An exploratory study of consumer perceptions of advertising in customized online environments. Journal of Marketing Communications, 18(1), 19–37. https:// doi.org/10.1080/13527266.2011.620767
D Pushpa Gowri. (2024). Impact of AI in Personalized Digital Marketing: Boosting Customer Engagement through Tailored Content. Journal of Communication and Management, 3(03), 216–221. https://doi.org/10.58966/jcm2024334
Dann, D., Teubner, T., Adam, M. T. P., & Weinhardt, C. (2020). Where the host is part of the deal: Social and economic value in the platform economy. Electronic Commerce Research and Applications, 40, 100923. https://doi.org/10.1016/ j.elerap.2019.100923
De Keyzer, F., Dens, N., & De Pelsmacker, P. (2021). How and When Personalized Advertising Leads to Brand Attitude, Click, and WOM Intention. Journal of Advertising, 51(1), 1–18. https:// doi.org/10.1080/00913367.2021.1888339
Gao, B., Wang, Y., Xie, H., & Hu, Y. (2023). Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalisation, Content Creation, and Ad Optimization. SAGE Open, 13(4). https://doi. org/10.1177/21582440231210759 G h i r v u , A . I . ( 2 0 1 3 ) . T H E A I D A M O D E L F O R ADVERGAMES. The USV Annals of Economics and Public Administration, 13(1(17)), 90–98. http://www.annals.feaa.usv.ro/ index.php/annals/article/viewArticle/497
Goldfarb, A., & Tucker, C. E. (2011). Privacy Regulation and Online Advertising. Management Science, 57(1), 57–71. https:// doi.org/10.1287/mnsc.1100.1246
Hassan, S., Nadzim, S. Z. A., & Shiratuddin, N. (2015). Strategic Use of Social Media for Small Business Based on the AIDA Model. Procedia - Social and Behavioral Sciences, 172(1), 262–269. https://doi.org/10.1016/j.sbspro.2015.01.363 Kaur, K., Mishra, A., Rajnikant, & Mallik, V. (2021, February 8). Impact of E-Marketing on Consumer Purchase Behaviour: An Empirical Study. Papers.ssrn.com. https://papers.ssrn.com/sol3/ papers.cfm?abstract_id=3787608
Kiselova, H. (2019). BI Norwegian Business School -campus Oslo GRA 19703. https://biopen.bi.no/bi-xmlui/bitstream/ handle/11250/2622136/2287483.pdf
Kitchen, P., Kerr, G., Schultz, D., & McCol, R. (2024). The SAGE Handbook of Persuasion. Google Books. https://books. google.com/books?hl=en&lr=&id=6cE5DQAAQBAJ&oi=fn d&pg=PT143&dq=Elaboration+Likelihood+Model+&ots=y- 0k99pXnc&sig
Lambrecht, A., & Tucker, C. (2013). When Does Retargeting Work? Information Specificity in Online Advertising. Journal of Marketing Research, 50(5), 561–576. https://doi.org/10.1509/ jmr.11.0503
Miia, A., & Dong, K. (2019). Avoiding Personalized Ads on Social Media : Understanding how YouTube users experience personalized advertising and what leads to ad avoidance in the context of personalisation. In www.diva-portal.org. https://www. diva-portal.org/smash/record.jsf?pid=diva2:1320982
Petty, R., & Brinol, P. (2024). Handbook of Theories of Social Psychology. Google Books. https://books.google.com/books?hl= en&lr=&id=SePipgh2z7kC&oi=fnd&pg=PA224&dq=The+Elab oration+Likelihood+Model+(ELM)&ots=_PhwoiK3BL&sig=K u6nCxuZiYGYZGIwGgC_kfvUSsg
Segijn, C. M., & van Ooijen, I. (2020). Differences in consumer knowledge and perceptions of personalized advertising: Comparing online behavioural advertising and synced advertising. Journal of Marketing Communications, 28(2), 1–20. https://doi.org/10.1080/13527266.2020.1857297
Semeradova, T., & Weinlich, P. (2019). Computer Estimation of Customer Similarity with Facebook Lookalikes: Advantages and Disadvantages of Hyper-targeting. IEEE Access, 7, 1–1. https:// doi.org/10.1109/access.2019.2948401
Smit, E. G., Van Noort, G., & Voorveld, H. A. M. (2014). Understanding online behavioural advertising: User knowledge, privacy concerns and online coping behaviour in Europe. Computers in Human Behavior, 32, 15–22. https://doi. org/10.1016/j.chb.2013.11.008
Strycharz, J., van Noort, G., Smit, E., & Helberger, N. (2019). Consumer View on Personalized Advertising: Overview of Self-Reported Benefits and Concerns. European Advertising Academy, 53–66. https://doi.org/10.1007/978-3-658-24878-9_5
Tucker, C. E. (2014). Social Networks, Personalized Advertising, and Privacy Controls. Journal of Marketing Research, 51(5), 546–562. https://doi.org/10.1509/jmr.10.0355
Virgilijus Sakalauskas, & Kriksciuniene, D. (2024). Personalized Advertising in E-Commerce: Using Clickstream Data to Target High-Value Customers. Algorithms, 17(1), 27–27. https://doi. org/10.3390/a17010027
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