Abstract
The current advertising saturation and the loss of effectiveness of digital campaigns opens an opportunity to incorporate principles of behavioural economics into segmentation strategies and advertising messages. This article offers a literature review on the application of behavioural sciences to advertising in digital environments, both from the theoretical body of behavioural economics and from social psychology and advertising communication. This article analyses the different concepts used to discuss behavioural personalisation in the advertising environment and examines the different theoretical models applied in both disciplines. It also reviews cases of business application by Google, BBVA and Ogilvy. The integration of behavioural economics into the segmentation and creative design of social media advertisements is a promising path towards more efficient and relevant advertising.
References
Alalwan, A. A. (2018). Investigating the impact of social media advertising features on customer purchase intention. International Journal of Information Management, 42, 65–77. http://doi.org/drc9
Alsaeed, M., Adam, M. T., Piper, J., & Bucher, T. (2025). Digital nudging for healthy and sustainable food choice in online supermarkets: a scoping review. AIS Transactions on Human-Computer Interaction, 17(2), 287-332. https://doi.org/10.17705/1thci.00226
Balaskas, S., Yfantidou, I., Nikolopoulos, T., & Komis, K. (2025). The psychology of edtech nudging: persuasion, cognitive load, and intrinsic motivation. European Journal of Investigation in Health, Psychology and Education, 15(9), 179. https://doi.org/10.3390/ejihpe15090179
BBVA (18 de diciembre de 2024). Cómo la IA puede potenciar (también) las ciencias del comportamiento. BBVA. https://www.bbva.com/es/innovacion/como-la-ia-puede-potenciar-tambien-las-ciencias-del-comportamiento/
Bleier, A., & Eisenbeiss, M. (2015). The importance of trust for personalized online advertising. Journal of Retailing, 91(3), 390–409. https://doi.org/10.1016/j.jretai.2015.04.001
Cialdini, R. (2009). Influence: science and practice. Pearson Education.
Cugelman, B., & Stibe, A. (2023). Interactive Behavior Change Model (IBCM 8.0): Theory and ontology. En M. Younas, I. Awan &T. M. Grønli, (Eds.), International Conference on Mobile Web and Intelligent Information Systems (pp. 145-160). Cham: Springer Nature Switzerland. http://dx.doi.org/10.2139/ssrn.5279848
Dongjae, L. (2024). Evidence of online behavioral advertising as being mistargeting: the evaluative role of persuasion knowledge on online behavioral ad accuracy. [Tesis Doctoral, University of Georgia] https://openscholar.uga.edu/record/4732?v=pdf
Evans, N. J., & Park, D. (2015). Rethinking the persuasion knowledge model: schematic antecedents and associative outcomes of persuasion knowledge activation for covert advertising. Journal of Current Issues & Research in Advertising, 36(2), 157–176. https://doi.org/10.1080/10641734.2015.1023873
Fogg, B. J. (s. f.). Fogg Behavior Model. https://www.behaviormodel.org/
Friestad, M., & Wright, P. (1994). The persuasion knowledge model: how people cope with persuasion attempts. Journal of Consumer Research, 21(1), 1–31. https://doi.org/10.1086/209380
Gaviño González, A. & Marín Soré, A. (2021). Economía conductual: cómo aplicar sesgos cognitivos para potenciar el marketing. En E. Y. Lorenzo & M. J. Merino Sanz (Eds.), De la emoción a la compra: por qué y cómo compramos (pp. 17-54). Escuela Superior de Gestión Comercial y Marketing, ESIC.
Ham, C. D. (2017). Exploring how consumers cope with online behavioral advertising. International Journal of Advertising, 36(4), 632-658. https://doi.org/10.1080/02650487.2016.1239878
Interactive Advertising Bureau (Febrero de 2025a). Estudio de Inversión Publicitaria en Medios Digitales 2025. https://iabspain.es/estudio/estudio-inversion-publicitaria-medios-digitales-2025/
Interactive Advertising Bureau (Mayo de 2025b). Estudio de Redes Sociales 2025. https://iabspain.es/estudio/estudio-redes-sociales-2025-iab-spain/
Jain, S., & Purohit, H. C. (2022). Consumer acceptance of online behavioural advertising: role of persuasion knowledge and protection motivation. International Management Review, 18(2), 48-54,77.
Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-291. https://doi.org/10.2307/1914185
Karlsen, R., & Andersen, A. (2022). The impossible, the unlikely, and the probable nudges: a classification for the design of your next nudge. Technologies, 10(6), 110. https://doi.org/10.3390/technologies10060110
Loewenstein, G., & Lerner, J. S. (2003). The role of affect in decision making. En R. J. Davidson, K. R. Scherer & H. H. Goldsmith (Eds.), Handbook of affective sciences (pp. 619–642). Oxford University Press.
Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
Ogilvy Consulting (2024).The annual 2024: the year's biggest behavioral science case studies.https://www.ogilvy.com/ideas/annual-2024-years-biggest-behavioral-science-case-studies
Organización Mundial de la Salud [OMS]. (2023). Reporting about alcohol: a guide for journalists. World Health Organization. https://www.who.int/publications/i/item/9789240071490
Petty, R. E. & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in experimental social psychology, 19, 123-205. http://dx.doi.org/10.1016/S0065-2601(08)60214-2
Rennie, A., Protheroe, J., Charron, C., Breatnach, G. (2023). Decoding decisions making sense of the messy middle. Google.
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066X.55.1.68
Sutherland, R. (2019). Alchemy: The dark art and curious science of creating magic in brands, business, and life. HarperCollins.
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the UTAUT model. Journal of Information Management, 29(1), 157–178. https://doi.org/10.2307/41410412
Weinmann, M., Schneider, C., & Von Brocke, J. (2016). Digital nudging. Business & Information Systems Engineering, 58(6), 433–436.
Zhang, D., Yao, J., & Han, W. (2024). Why does advertising work? Exploring the neural mechanism of concreteness and emotional effects of donation advertising slogans: research and reviews. Current Psychology, 43(25), 26630-26645. https://doi.org/10.1007/s12144-024-05907-8

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