The relationship between neuroscience, advertising and consumer manipulation

Authors

Keywords:

neuromarketing, cognitive neuroscience, emotional advertising, consumer manipulation, neuroethics

Abstract

Introduction: The study analyzes the influence of neuroscience on advertising strategies and its impact on consumer behavior. It examines how neuromarketing techniques, based on sensory and emotional stimuli, manage to capture unconscious attention and condition purchasing decisions, generating an ethical debate on manipulation and cognitive autonomy.
Method: A qualitative approach with an exploratory design was applied, through semi-structured interviews with fifteen randomly selected consumers in face-to-face and digital environments. The questions addressed perceptions about sensory advertising, emotional reactions and ethical limits of neuromarketing. The information was analyzed in an interpretative way, identifying coincidences, contrasts and common meanings.
Results: The responses showed that advertisements with visual, auditory and emotional components provoke immediate recall and desire to buy. However, most of the participants said they felt vulnerable to the excessive personalization of messages and acknowledged having made impulse purchases. Categories such as induced emotion, unconscious attention, purchase impulse, brand identification and perception of manipulation emerged, revealing an ambivalent relationship between pleasure and distrust towards current advertising.
Conclusions: neuroscience applied to advertising enhances communicative effectiveness, but also poses ethical dilemmas about the consumer's mental freedom. It is concluded that critical training, business transparency and the development of a neuroethics of consumption are essential to balance innovation and respect for individual autonomy in the contemporary commercial environment.

References

Alsharif, A. H., Md Salleh, N. Z., & Baharun, R. (2021). Neuromarketing: Marketing research in the new millennium. Neuroscience Research Notes, 4(3), 27–35. https://doi.org/10.31117/neuroscirn.v4i3.79

Alsharif, A. H., Md Salleh, N. Z., & Baharun, R. (2021). Neuromarketing: The popularity of the brain-imaging and physiological tools. Neuroscience Research Notes, 3(5), 13–22. https://doi.org/10.31117/neuroscirn.v3i5.80

Baskaran, S., Mahadi, N., & Abd Rasid, S. Z. (2021). Multiple intelligence and entrepreneurial opportunity recognition – a failsafe approach of neuromarketing. Journal of Research in Marketing and Entrepreneurship, 23(2), 318–338. https://doi.org/10.1108/JRME-05-2020-0049

Bhardwaj, S., Rana, G. A., Behl, A., & Gallego de Caceres, S. J. (2023). Exploring the boundaries of neuromarketing through systematic investigation. Journal of Business Research, 154, 113371. https://doi.org/10.1016/j.jbusres.2022.113371

Blázquez Resino, J. J., Molina Collado, A., Esteban Talaya, Á., & Martín-Consuegra Navarro, D. (2008). Análisis de la eficacia publicitaria en Internet. Investigaciones Europeas de Dirección y Economía de la Empresa, 14(1), 159–176. https://doi.org/10.1016/S1135-2523(12)60017-3

Clemente Ricolfe, J. S., Buitrago Vera, J. M., & Sendra Emper, E. (2013). Estudio de los factores de compra de productos retro y segmentación del mercado potencial retro. Contaduría y Administración, 58(1), 225–250. https://doi.org/10.1016/S0186-1042(13)71204-X

Farías, P. (2015). La efectividad de la publicidad oposicional. Estudios Gerenciales, 31(134), 3–7. https://doi.org/10.1016/j.estger.2014.08.005

Gill, R., & Singh, J. (2022). A study of neuromarketing techniques for proposing cost-effective information-driven framework for decision making. Materials Today: Proceedings, 49(8), 2969–2981. https://doi.org/10.1016/j.matpr.2020.08.730

Gürbüz, F., & Ünal, S. (2023). A bibliometric analysis of neuromarketing on Web of Science. Journal of Engineering Research, 11(2 Part B), 226–235. https://doi.org/10.36909/jer.12239

Gu, C., Lin, S., Sun, J., Yang, C., Chen, J., Jiang, Q., Miao, W., & Wei, W. (2022). What do users care about? Research on user behavior of mobile interactive video advertising. Heliyon, 8(10), e10910. https://doi.org/10.1016/j.heliyon.2022.e10910

Herd, S., Krueger, K., & Nair, A. (2021). Neural mechanisms of human decision-making. Cognitive, Affective, & Behavioral Neuroscience, 21, 35–57. https://doi.org/10.3758/s13415-020-00842-0

Iloka, B. C., & Anukwe, G. I. (2020). Review of eye-tracking: A neuromarketing technique. Neuroscience Research Notes, 3(4), 29–34. https://doi.org/10.31117/neuroscirn.v3i4.61

Iloka, B. C., & Onyeke, K. J. (2020). Neuromarketing: A historical review. Neuroscience Research Notes, 3(3), 27–35. https://doi.org/10.31117/neuroscirn.v3i3.54

Koçacınar, B., İnan, P., Zamur, E. N., Çalışmek, B., Akbulut, F. P., & Catal, C. (2024). NeuroBioSense: A multidimensional dataset for neuromarketing analysis. Data in Brief, 53, 110235. https://doi.org/10.1016/j.dib.2024.110235

Mansor, A. A., & Mohd Isa, S. (2020). Fundamentals of neuromarketing: What is it all about? Neuroscience Research Notes, 3(4), 22–28. https://doi.org/10.31117/neuroscirn.v3i4.58

Mansor, A. A., Mohd Isa, S., & Mohd Noor, S. S. (2021). P300 and decision-making in neuromarketing. Neuroscience Research Notes, 4(3), 21–26. https://doi.org/10.31117/neuroscirn.v4i3.83

Mansor, A. A., & Mohd Isa, S. (2022). Areas of interest (AOI) on marketing-mix elements of green and non-green products in customer decision making. Neuroscience Research Notes, 5(3), 174.* https://doi.org/10.31117/neuroscirn.v5i3.174

Miranda González, F. J., Rubio Lacoba, S., Chamorro Mera, A., & Loureiro, S. M. C. (2015). Determinantes de la intención de uso de Facebook en el proceso de decisión de compra. Investigaciones Europeas de Dirección y Economía de la Empresa, 21(1), 26–34. https://doi.org/10.1016/j.iedee.2014.05.001

Mohd Isa, S., & Anuar, N. N. A. (2024). Neuromarketing cues: An eye-tracking study on mothers’ visual attention to organic vegetable advertisement. Neuroscience Research Notes, 7(4), 363.1–363.7. https://doi.org/10.31117/neuroscirn.v7i4.363

Núñez-Cansado, M., Carrascosa Méndez, G., & Juárez-Varón, D. (2024). Analysis of the residual effect using neuromarketing technology in audiovisual content entrepreneurship. Sustainable Technology and Entrepreneurship, 3(3), 100069.* https://doi.org/10.1016/j.stae.2023.100069

Ouzir, M., Chakir Lamrani, H., Bradley, R. L., & El Moudden, I. (2024). Neuromarketing and decision-making: Classification of consumer preferences based on changes analysis in the EEG signal of brain regions. Biomedical Signal Processing and Control, 87(B), 105469.* https://doi.org/10.1016/j.bspc.2023.105469

Quiles Pérez, M., Martínez Beltrán, E. T., López Bernal, S., Horna Prat, E., Montesano Del Campo, L., Fernández Maimó, L., & Huertas Celdrán, A. (2024). Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges. Information Fusion, 105, 102231. https://doi.org/10.1016/j.inffus.2024.102231

Ruanguttamanun, C. (2014). Neuromarketing: I put myself into a fMRI scanner and realized that I love Louis Vuitton ads. Procedia – Social and Behavioral Sciences, 148, 211–218. https://doi.org/10.1016/j.sbspro.2014.07.036

Soares, P., Caballero, P., & Davó-Blanes, M. C. (2017). Compra de alimentos de proximidad en los comedores escolares de Andalucía, Canarias y Principado de Asturias (España). Gaceta Sanitaria, 31(6), 446–452. https://doi.org/10.1016/j.gaceta.2017.05.015

Zhang, Y., & Fu, S. (2024). Commercial new media advertising recommendation algorithm based on data analysis. Procedia Computer Science, 247, 537–544. https://doi.org/10.1016/j.procs.2024.10.064

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Published

2024-12-31

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Original

How to Cite

1.
Sánchez Méndez LG, Cabrera Gómez T del C. The relationship between neuroscience, advertising and consumer manipulation. NeuroData [Internet]. 2024 Dec. 31 [cited 2026 Mar. 21];1:51. Available from: https://neuro.jogbeditorial.ec/index.php/neuro/article/view/51