
Published 2024-12-25
Keywords
- Programmatic Advertising, Marketing Surveillance, Ad Avoidance, Perceived Autonomy, Pre-roll Video Ads, Skippable Ads, Perceived Relevance
- Programatik Reklamcılık, Pazarlama Gözetimi, Reklam Kaçınma, Algılanan Otonomi, Pre-roll Video Reklamlar, Atlanabilir Reklamlar, Algılanan Alaka Düzeyi
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Copyright (c) 2024 Munise Hayrun Sağlam- İbrahim Kırcova

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Abstract
Programmatic advertising operates within a surveillance framework that monitors consumer behaviour and generates personalised content to deliver more targeted advertisements to audiences. While this framework analyses large-scale data from users and has the potential to enhance the relevance of advertisements, it can also negatively impact the user experience. This study examines the factors influencing avoidance behaviours towards pre-roll video advertisements by analysing the relationships between perceived marketing surveillance, ad clutter, skippable ad irritation, and perceived autonomy. For this purpose, data collected from 547 participants were analysed using structural equation modelling (SEM). The study's findings show that increasing the relevance of advertisements mitigates surveillance-induced negative attitudes and reduces viewers' tendency to avoid skippable ads. The results underscore the importance of granting viewers greater autonomy to improve the user experience and minimise ad avoidance. Furthermore, the study highlights the necessity of developing more balanced and ethical advertising strategies that enhance consumers' sense of control and alleviate the intrusive effects of programmatic advertising's surveillance nature.
References
- Altendorf, M., Smit, E., Azrout, R., Hoving, C., & van Weert, J. (2020). A smoker’s choice? Identifying the most autonomy-supportive message frame in an online computer-tailored smoking cessation intervention. Psychology & Health, 36(5), 549–574. https://doi.org/10.1080/08870446.2020.1802457
- Aslam, W., Farhat, K., & Arif, I. (2021). Skippable advertisement versus full-length advertisement: An empirical analysis in a developing economy. Journal of Interactive Advertising, 21(1), 49–67. https://doi.org/10.1080/15252019.2020.1852634
- Averill, J. R. (1973). Personal control over aversive stimuli and its relationship to stress. Psychological Bulletin, 80(4), 286–303. https://doi.org/10.1037/h0034845
- Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16, 74–94. http://dx.doi.org/10.1007/BF02723327
- Bauer, A., & Greyser, S. (1968). Advertising in America: The consumer view. Harvard University.
- Belanche, D., Flavián, C., & Pérez-Rueda, A. (2017). Understanding interactive online advertising: Congruence and product involvement in highly and lowly arousing, skippable video ads. Journal of Interactive Marketing, 37, 75-88. https://doi.org/10.1016/j.intmar.2016.06.004
- Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037/0033-2909.88.3.588
- Bleier, A., & Eisenbeiss, M. (2015). The importance of trust for personalised online advertising. Journal of Retailing, 91, 390–409. https://doi.org/10.1016/j.jretai.2015.04.001
- Brechman, J., Bellman, S., Robinson, J. A., Rask, A., & Varan, D. (2016). Limited-interruption advertising in digital-video content: An analysis compares the effects of "midroll" versus "pre-roll" spots and clutter advertising. Journal of Advertising Research, 56(3), 289. https://doi.org/10.2501/JAR-2016-001
- Brehm, S. S., & Brehm, J. W. (2013). Psychological reactance: A theory of freedom and control. Academic Press
- Buvaneswari, P. S., & Swetha, M. S. (2024). Ad avoidance in digital advertising: The impact of privacy disruption and perceived intrusiveness. Advances in Economics, Business and Management Research, 57–76. https://doi.org/10.2991/978-94-6463-433-4_6
- Campbell, C., Thompson, F., Grimm, P., & Robson, K. (2017). Understanding why consumers don’t skip pre-roll video ads. Journal of Advertising, 46, 411–423. https://doi.org/10.1080/00913367.2017.1334249
- Celsi, R. L., & Olson, J. C. (1988). The role of involvement in attention and comprehension processes. Journal of Consumer Research, 15(2), 210–224. https://doi.org/10.1086/209158
- Chen, G., Xie, P., Dong, J., & Wang, T. (2019). Understanding programmatic creative: The role of AI. Journal of Advertising, 48(4), 347–355. https://doi.org/10.1080/00913367.2019.1654421
- Cho, C. H., & Cheon, H. J. (2004). Why do people avoid advertising on the internet? Journal of Advertising, 33(4), 89–97. https://doi.org/10.1080/00913367.2004.10639175
- Choi, D., & Kim, J. (2021). The impacts of ad skip option and ad time display on viewer response to in-stream video ads: The role of perceived control and reactance. Internet Research, 32, 790–813. https://doi.org/10.1108/intr-09-2020-0514
- Ciuchita, R., Gummerus, J.K., Holmlund, M., & Linhart, E.L. (2023). Programmatic advertising in online retailing: consumer perceptions and future avenues. Journal of Service Management, 34(2), 231-255. https://doi.org/10.1108/JOSM-06-2021-0238
- Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd ed.). Routledge Academic. https://doi.org/10.4324/9780203771587
- De Groot, J. (2022). The personalisation paradox in Facebook advertising: The mediating effect of relevance on the personalisation–brand attitude relationship and the moderating effect of intrusiveness. Journal of Interactive Advertising, 22, 57–74. https://doi.org/10.1080/15252019.2022.2032492
- Dehghani, M., Niaki, M. K., Ramezani, I., & Sali, R. (2016). Evaluating the influence of YouTube advertising for attraction of young customers. Computers in Human Behaviour, 59, 165-172. https://doi.org/10.1016/j.chb.2016.01.037
- De Keyzer, F., Dens, N., & De Pelsmacker, P. (2022). Let’s get personal: Which elements elicit perceived personalisation in social media advertising? Electronic Commerce Research and Applications, 55, 101183. https://doi.org/10.1016/j.elerap.2022.101183
- Dodoo, N., & Wen, J. (2020). Weakening the avoidance bug: The impact of personality traits in ad avoidance on social networking sites. Journal of Marketing Communications, 27, 457–480. https://doi.org/10.1080/13527266.2020.1720267
- Duff, B. R. L., & Faber, R. J. (2011). Missing the mark. Journal of Advertising, 40(2), 51–62. https://doi.org/10.2753/JOA0091-3367400204
- Edwards, S. M., Li, H., & Lee, J. H. (2002). Forced exposure and psychological reactance: Antecedents and consequences of the perceived intrusiveness of pop-up ads. Journal of Advertising, 31(3), 83–95. https://doi.org/10.1080/00913367.2002.10673678
- Farman, L., & Comello, M. L. (Nori), & Edwards, J. R. (2020). Are consumers put off by retargeted ads on social media? Evidence for perceptions of marketing surveillance and decreased ad effectiveness. Journal of Broadcasting & Electronic Media, 64(2), 298–319. https://doi.org/10.1080/08838151.2020.1767292
- Finstad, K. (2010). Response interpolation and scale sensitivity: Evidence against 5-point scales. Journal of Usability Studies, 5(3), 104–110. https://dl.acm.org/doi/abs/10.5555/2835434.2835437
- Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.2307/3150980
- Goodrich, K., Schiller, S. Z., & Galletta, D. (2015). Consumer reactions to the intrusiveness of online-video advertisements. Journal of Advertising Research, 55(1), 37-50. https://doi.org/10.2501/JAR-55-1-037-050
- Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications.
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate data analysis (8th ed.). Cengage Learning.
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8
- Huang, G. (2019). Variation matters: How to curb ad intrusiveness for native advertising on Facebook, Twitter, and Instagram. Internet Research, 29(6), 1469–1484. https://doi.org/10.1108/INTR-12-2017-0524
- Huang, Y., & Waddell, T. (2020). The impact of ad customisation and content transportation on the effectiveness of online video advertising. Journal of Current Issues & Research in Advertising, 41, 284–300. https://doi.org/10.1080/10641734.2019.1626304
- Jeon, Y. A., Son, H., Chung, A. D., & Drumwright, M. E. (2019). Temporal certainty and skippable in-stream commercials: Effects of ad length, timer, and skip-ad button on irritation and skipping behavior. Journal of Interactive Marketing, 47, 144–158. https://doi.org/10.1111/ijcs.12728
- Jung, A. R. (2017). The influence of perceived ad relevance on social media advertising: An empirical examination of a mediating role of privacy concern. Computers in Human Behaviour, 70(1), 303–309. https://doi.org/10.1016/j.chb.2017.01.008
- Kelly, L., Kerr, G., & Drennan, J. (2010). Avoidance of advertising in social networking sites: The teenage perspective. Journal of Interactive Advertising, 10(2), 16–27. https://doi.org/10.1080/15252019.2010.10722167
- Kelly, L., Kerr, G., Drennan, J., & Fazal-E-Hasan, S. (2019). Feel, think, avoid: Testing a new model of advertising avoidance. Journal of Marketing Communications, 27, 343–364. https://doi.org/10.1080/13527266.2019.1666902
- Kim, J., Ahn, S. J. G., Kwon, E. S., & Reid, L. N. (2017). TV advertising engagement as a state of immersion and presence. Journal of Business Research, 76, 67–76. https://doi.org/10.1016/j.jbusres.2017.03.001
- Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling (4th ed.). Guilford Press.
- Kumar, A., Kumar, D.V.S. & Megha, R.U. (2024). I know what you browsed last night! role of creepiness and persuasion knowledge on click intention of online behavioural advertising. Decision 51, 303–319 https://doi.org/10.1007/s40622-024-00398-9
- Lee, S. Y., & Cho, Y. (2010). Do web users care about banner ads anymore? The effects of frequency and clutter in web advertising. Journal of Promotion Management, 16(3), 288–302. https://doi.org/10.1080/10496490903582594
- Li, X., Zhang, Y., & Yao, J. (2020). Avoidance behaviour toward social network advertising: Dimensions and measurement. In Proceedings of the WHICEB 2020 (pp. 1–10). Wuhan, China.
- Lin, H.-C.-S., Lee, N.-C.-A., & Lu, Y.-C. (2021). The mitigators of ad irritation and avoidance of YouTube skippable in-stream ads: An empirical study in Taiwan. Information, 12, 373. https://doi.org/10.3390/info12090373
- Loose, F., Hudders, L., Jans, S. D., & Vanwesenbeeck, I. (2022). A qualitative approach to unravel young children’s advertising literacy for YouTube advertising: In-depth interviews with children and their parents. Young Consumers, 24(1), 74–94. https://doi.org/10.1108/yc-04-2022-1507
- Lustria, M. L. A., Cortese, J., Noar, S. M., & Glueckauf, R. L. (2009). Computer-tailored health interventions delivered over the Web: Review and analysis of key components. Patient Education and Counseling, 74(2), 156–173. https://doi.org/10.1016/j.pec.2008.08.023
- Malhotra, N. K. (2019). Marketing research: An applied orientation (7th ed.). Pearson Education
- Michaelidou, N., & Moraes, C. (2016). Internet users' attitudes towards advertising on Facebook. In C. Campbell & J. J. Ma (Eds.), Looking Forward, Looking Back: Drawing on the Past to Shape the Future of Marketing (pp. 222-225). Springer International Publishing. https://doi.org/10.1007/978-3-319-24148-7_48
- Morimoto, M., & Chang, S. (2006). Consumer attitudes toward unsolicited commercial email and postal direct mail marketing methods: Intrusiveness, perceived loss of control, and irritation. Journal of Interactive Advertising, 7(1), 8–20. https://doi.org/10.1080/15252019.2006.10722121
- Munir, H., Rana, R., & Bhatti, U. (2017). Factors affecting advertisement avoidance through mediating role of customer perceived value. International Journal of Research, 4, 961–975.
- Niu, X., Wang, X., & Liu, Z. (2021). When I feel invaded, I will avoid it: The effect of advertising invasiveness on consumers’ avoidance of social media advertising. Journal of Retailing and Consumer Services, 58, 102320. https://doi.org/10.1016/j.jretconser.2020.102320
- Oberlo. (2024). Online video consumption statistics. Retrieved November 12, 2024, from https://www.oberlo.com/statistics/online-video-consumption-statistics
- Pavey, L., & Sparks, P. (2010). Autonomy and reactions to health-risk information. Psychology & Health, 25, 855–872. https://doi.org/10.1080/08870440902929528
- Raditya, D., Gunadi, W., Setiono, D., & Rawung, J. (2020). The effect of ad content and ad length on consumer response towards online video advertisement. The Winners, 21(2). https://doi.org/10.21512/tw.v21i2.6797
- Raditya, D., Gunadi, W., Setiono, D., & Rawung, J. (2020). The effect of ad content and ad length on consumer response towards online video advertisement. Winners, 21(2), 119–128. https://doi.org/10.21512/tw.v21i2.6797
- Rejón-Guardia, F., & Martínez-López, F. J. (2014). Online advertising intrusiveness and consumers’ avoidance behaviours. In F. J. Martínez-López (Ed.), Handbook of Strategic e-Business Management (pp. 565–586). Springer. https://doi.org/10.1007/978-3-642-39747-9_23
- Ruckenstein, M., & Granroth, J. (2019). Algorithms, advertising and the intimacy of surveillance. Journal of Cultural Economy, 13, 12–24. https://doi.org/10.1080/17530350.2019.1574866
- Rumbo, J. (2002). Consumer resistance in a world of advertising clutter: The case of Adbusters. Psychology and Marketing, 19(2), 127–148. https://doi.org/10.1002/mar.10006
- Samuel, A., White, G. R. T., Thomas, R., & Jones, P. (2021). Programmatic advertising: An exegesis of consumer concerns. Computers in Human Behavior, 116, 106657. https://doi.org/10.1016/j.chb.2020.106657
- Segijn, C. M., & van Ooijen, I. (2022). Differences in consumer knowledge and perceptions of personalised advertising: Comparing online behavioural advertising and synced advertising. Journal of Marketing Communications, 28(2), 207–226. https://doi.org/10.1080/13527266.2020.1857297
- Segijn, C. M., Opree, S. J., & van Ooijen, I. (2022). The validation of the Perceived Surveillance Scale. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 16(3), Article 9. https://doi.org/10.5817/CP2022-3-9
- Senarathna, T., & Wijetunga, D. (2023). Examining some dynamics related to YouTube ad clutter in a high-clutter context. South Asian Journal of Marketing, 5(1), 1–14. https://doi.org/10.1108/sajm-04-2023-0025
- Seyedghorban, Z., Tahernejad, H., & Matanda, M. J. (2016). Reinquiry into advertising avoidance on the internet: A conceptual replication and extension. Journal of Advertising, 45, 120–129. http://dx.doi.org/10.1080/00913367.2015.1085819
- Speck, P. S., & Elliott, M. T. (1997). The antecedents and consequences of perceived advertising clutter. Journal of Current Issues & Research in Advertising, 19(2), 39–54. https://doi.org/10.1080/10641734.1997.10524436
- Sundar, S. S. (2008). Self as source: Agency and customisation in interactive media. In E. Konijn, S. Utz, M. Tanis, & S. Barnes (Eds.), Mediated interpersonal communication (pp. 58–74). Routledge.
- Tam, K. Y., & Ho, S. Y. (2005). Web personalisation as a persuasion strategy: An elaboration likelihood model perspective. Information Systems Research, 16(3), 271–291. https://doi.org/10.1287/isre.1050.0058
- Tabachnick, B. G., & Fidell, L. S. (2007). Using Multivariate Statistics (5th ed.). Pearson Education.
- Trampe, D., Stapel, D. A., Siero, F. W., & Mulder, H. (2010). Beauty as a tool: The effect of model attractiveness, product relevance, and elaboration likelihood on advertising effectiveness. Psychology & Marketing, 27(12), 1101–1121. https://doi.org/10.1002/mar.20375
- Wei, X., Ko, I., & Pearce, A. (2021). Does perceived advertising value alleviate advertising avoidance in mobile social media? Exploring its moderated mediation effects. Sustainability, 14(1), Article 53. https://doi.org/10.3390/su14010253
- Wertenbroch, K., Schrift, R. Y., Alba, J. W., Barasch, A., Bhattacharjee, A., Giesler, M., Knobe, J., Lehmann, D. R., Matz, S., Nave, G., Parker, J. R., Puntoni, S., Zheng, Y., & Zwebner, Y. (2020). Autonomy in consumer choice. Marketing Letters, 31(4), 429–439. https://doi.org/10.1007/s11002-020-09521-z
- White, T. B., Zahay, D. L., Thorbjørnsen, H., & Shavitt, S. (2008). Getting too personal: Reactance to highly personalised email solicitations. Marketing Letters, 19(1), 39–50. https://doi.org/10.1007/s11002-007-9027-9
- Yin, S., Li, B., & Zhou, Q. (2023). The impact of skippable advertising on advertising avoidance intention in China. Marketing Intelligence & Planning, 41(8), 1121–1137. https://doi.org/10.1108/mip-07-2022-0298
- Zhang, D., Boerman, S. C., Hendriks, H., Araujo, T., & Voorveld, H. (2023). A Peak Into Individuals’ Perceptions of Surveillance. In A. Vignolles, & M. K. J. Waiguny (Eds.), Communicating, Designing and Consuming Authenticity and Narrative (pp. 163-178). (Advances in Advertising Research; Vol. 12). Springer. https://doi.org/10.1007/978-3-658-40429-1_12