International Peer-Reviewed JournalOpen AccessISSN 2456-8880
irejournals@gmail.com+91-7433024337

Home / Current Issue / Paper 1708277

1708277 Vol 8 · Issue 11 Download Paper

Decoding Consumer Desires Through Neuromarketing in the Digital Age

Dr. Saba Inamdar Medha A Iyer Moksha Bafna

Subject area: Management and Commerce  ·  Area of research: Marketing

Abstract

In the digital age, understanding consumer desires has become more complex due to the vast amount of data and rapidly evolving technology. This research explores neuromarketing techniques to decode consumer preferences, focusing on the application of neuroscience-driven insights to refine marketing strategies. By reviewing existing literature, the paper examines technologies such as brain imaging, biometric tracking, and eye-tracking are being utilized to understand emotional responses, decision-making processes, and subconscious behavior in digital environments. The study highlights the potential of neuromarketing to enhance customer engagement, personalize experiences, and improve brand loyalty by aligning marketing efforts with deeper, data-driven consumer insights. The findings underscore the growing significance of incorporating neuroscientific approaches into digital marketing strategies to stay competitive in an ever-evolving market.

Keywords

Biometric tracking; Consumer behavior; Digital marketing; Neuromarketing; Personalization

References

[1] Albert, W. (Bill), & Tullis, T. S. (Tom). (2023). Measuring Emotion. In Measuring the User Experience (pp. 195–216). Elsevier. https://doi.org/10.1016/B978-0-12-818080-8.00008-X

[2] Alsharif, A. H., & Mohd Isa, S. (2024). Revolutionizing Consumer Insights: The Impact of fMRI in Neuromarketing Research. Future Business Journal, 10(1), 79. https://doi.org/10.1186/s43093-024-00371-z

[3] Aprilianty, F., Takahashi, M., & Matsuura, Y. (2024). Bridging Brains and Bots: The Impact of AI on Neuromarketing. Procedia Computer Science, 246, 1830–1839. https://doi.org/10.1016/j.procs.2024.09.687

[4] Ariely, D., & Berns, G. S. (2010). Neuromarketing: The Hope and Hype of Neuroimaging in Business. Nature Reviews. Neuroscience, 11(4), 284–292. https://doi.org/10.1038/nrn2795

[5] Bagozzi, R. P., Gopinath, M., & Nyer, P. U. (1999). The Role of Emotions in Marketing. Journal of the Academy of Marketing Science, 27(2), 184–206. https://doi.org/10.1177/0092070399272005

[6] Baños-González, M., Baraybar-Fernández, A., & Rajas-Fernández, M. (2020). The Application of Neuromarketing Techniques in the Spanish Advertising Industry: Weaknesses and Opportunities for Development. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.02175

[7] Bazzani, A., Ravaioli, S., Trieste, L., Faraguna, U., & Turchetti, G. (2020). Is EEG Suitable for Marketing Research? A Systematic Review. Frontiers in Neuroscience, 14, 594566. https://doi.org/10.3389/fnins.2020.594566

[8] Belk, R. W., Ger, G., & Askegaard, S. (2003). The Fire of Desire: A Multisited Inquiry into Consumer Passion. Journal of Consumer Research, 30(3), 326–351. https://doi.org/10.1086/378613

[9] Bercea, M. D. (2012). Anatomy of Methodologies for Measuring Consumer Behavior in Neuromarketing Research. https://www.semanticscholar.org/paper/Anatomy-of-methodologies-for-measuring-consumer-in-Bercea/48d87a8c203ddb15c64034768cd84aa3ff6b4cdc

[10] Bhandari, A. (2020). Neuromarketing Trends and Opportunities for Companies: In D. Atli (Ed.), Advances in Marketing, Customer Relationship Management, and E-Services (pp. 82–103). IGI Global. https://doi.org/10.4018/978-1-7998-3126-6.ch005

[11] 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

[12] Bhardwaj, S., Thapa, S. B., & Gandhi, A. (2024). Advances in Neuromarketing and Improved Understanding of Consumer Behaviour: Analysing Tool Possibilities and Research Trends. Cogent Business & Management, 11(1), 2376773. https://doi.org/10.1080/23311975.2024.2376773

[13] Bočková, K., Škrabánková, J., & Hanák, M. (2021). Theory and Practice of Neuromarketing: Analyzing Human Behavior in Relation to Markets. Emerging Science Journal, 5(1), 44–56. https://doi.org/10.28991/esj-2021-01256

[14] Bruce, A. S., Bruce, J. M., Black, W. R., Lepping, R. J., Henry, J. M., Cherry, J. B. C., Martin, L. E., Papa, V. B., Davis, A. M., Brooks, W. M., & Savage, C. R. (2014). Branding and a Child’s Brain: An fMRI Study of Neural Responses to Logos. Social Cognitive and Affective Neuroscience, 9(1), 118–122. https://doi.org/10.1093/scan/nss109

[15] Constantinescu, M., Orindaru, A., Pachitanu, A., Rosca, L., Caescu, S.-C., & Orzan, M. C. (2019). Attitude Evaluation on Using the Neuromarketing Approach in Social Media: Matching Company’s Purposes and Consumer’s Benefits for Sustainable Business Growth. Sustainability, 11(24), 7094. https://doi.org/10.3390/su11247094

[16] Costa-Feito, A., González-Fernández, A. M., Rodríguez-Santos, C., & Cervantes-Blanco, M. (2023). Electroencephalography in Consumer Behaviour and Marketing: A Science Mapping Approach. Humanities and Social Sciences Communications, 10(1), 1–13. https://doi.org/10.1057/s41599-023-01991-6

[17] Gill, R., & Singh, J. (2022). A Study of Neuromarketing Techniques for Proposing Cost Effective Information Driven Framework for Decision Making. Materials Today: Proceedings, 49, 2969–2981. https://doi.org/10.1016/j.matpr.2020.08.730

[18] Goncalves, M., Hu, Y., Aliagas, I., & Cerdá, L. M. (2024). Neuromarketing Algorithms’ Consumer Privacy and Ethical Considerations: Challenges and Opportunities. Cogent Business & Management, 11(1), 2333063. https://doi.org/10.1080/23311975.2024.2333063

[19] González-Mena, G., Del-Valle-Soto, C., Corona, V., & Rodríguez, J. (2022). Neuromarketing in the Digital Age: The Direct Relation Between Facial Expressions and Website Design. Applied Sciences, 12(16), 8186. https://doi.org/10.3390/app12168186

[20] Gurgu, E., Gurgu, I.-A., & Tonis, R. B. M. (2020). Neuromarketing for a Better Understanding of Consumer Needs and Emotions. Independent Journal of Management & Production, 11(1), 208–235. https://doi.org/10.14807/ijmp.v11i1.993

[21] Höfling, T. T. A., & Alpers, G. W. (2023). Automatic Facial Coding Predicts Self-Report of Emotion, Advertisement and Brand Effects Elicited by Video Commercials. Frontiers in Neuroscience, 17, 1125983. https://doi.org/10.3389/fnins.2023.1125983

[22] Javor, A., Koller, M., Lee, N., Chamberlain, L., & Ransmayr, G. (2013). Neuromarketing and Consumer Neuroscience: Contributions to Neurology. BMC Neurology, 13, 13. https://doi.org/10.1186/1471-2377-13-13

[23] Kajla, T., Raj, S., Kansra, P., Gupta, S. L., & Singh, N. (2024). Neuromarketing and Consumer Behavior: A Bibliometric Analysis. Journal of Consumer Behaviour, 23(2), 959–975. https://doi.org/10.1002/cb.2256

[24] Kalaganis, F. P., Georgiadis, K., Oikonomou, V. P., Laskaris, N. A., Nikolopoulos, S., & Kompatsiaris, I. (2021). Unlocking the Subconscious Consumer Bias: A Survey on The Past, Present, And Future of Hybrid EEG Schemes in Neuromarketing. Frontiers in Neuroergonomics, 2. https://doi.org/10.3389/fnrgo.2021.672982

[25] Lee, N., Broderick, A. J., & Chamberlain, L. (2007). What is ‘Neuromarketing’? A Discussion and Agenda for Future Research. International Journal of Psychophysiology, 63(2), 199–204. https://doi.org/10.1016/j.ijpsycho.2006.03.007

[26] Mandal, M., Mohanty, B. K., & Dash, S. (2021). Understanding Consumer Preference Through Fuzzy-Based Recommendation System. IIMB Management Review, 33(4), 287–298. https://doi.org/10.1016/j.iimb.2021.03.015

[27] Morin, C. (2011). Neuromarketing: The New Science of Consumer Behavior. Society, 48(2), 131–135. https://doi.org/10.1007/s12115-010-9408-1

[28] Nath, E. C., Cannon, P. R., & Philipp, M. C. (2020). Facial Electromyography and Subjective Liking Data From 70 New Zealand Participants in Response to Food Images and Chocolate Samples. Data in Brief, 29, 105124. https://doi.org/10.1016/j.dib.2020.105124

[29] Neudecker, N., Varma, D., Wright, D., & Powell, R. (2021). Voice and Facial Coding in Market Research. In M. Einhorn, M. Löffler, E. de Bellis, A. Herrmann, & P. Burghartz (Eds.), The Machine Age of Customer Insight (pp. 37–49). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83909-694-520211004

[30] Nordfält, J., & Ahlbom, C.-P. (2024). Utilising Eye-Tracking Data in Retailing Field Research: A Practical Guide. Journal of Retailing, 100(1), 148–160. https://doi.org/10.1016/j.jretai.2024.02.005

[31] Panteli, A., Kalaitzi, E., & Fidas, C. A. (2024). A Review on The Use of EEG For the Investigation of The Factors That Affect Consumer’s Behavior. Physiology & Behavior, 278, 114509. https://doi.org/10.1016/j.physbeh.2024.114509

[32] Qin, Y., & Wang, X. (2023). Power Distance Belief and The Desire for Uniqueness. Journal of Business Research, 160, 113766. https://doi.org/10.1016/j.jbusres.2023.113766

[33] Rawnaque, F. S., Rahman, K. M., Anwar, S. F., Vaidyanathan, R., Chau, T., Sarker, F., & Mamun, K. A. A. (2020). Technological Advancements and Opportunities in Neuromarketing: A Systematic Review. Brain Informatics, 7(1), 10. https://doi.org/10.1186/s40708-020-00109-x

[34] 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

[35] Sahu, Dr. G. R. (2024). Understanding Contemporary Consumer Behaviour in the Digital Age. International Research Journal on Advanced Engineering and Management (IRJAEM), 2(03), 485–490. https://doi.org/10.47392/IRJAEM.2024.0068

[36] Singh, P., Alhassan, I., & Khoshaim, L. (2023). What do you Need to Know? A Systematic Review and Research Agenda on Neuromarketing Discipline. Journal of Theoretical and Applied Electronic Commerce Research, 18(4), 2007–2032. https://doi.org/10.3390/jtaer18040101

[37] Stasi, A., Songa, G., Mauri, M., Ciceri, A., Diotallevi, F., Nardone, G., & Russo, V. (2018). Neuromarketing Empirical Approaches and Food Choice: A Systematic Review. Food Research International, 108, 650–664. https://doi.org/10.1016/j.foodres.2017.11.049

[38] Vecchiato, G., Astolfi, L., De Vico Fallani, F., Toppi, J., Aloise, F., Bez, F., Wei, D., Kong, W., Dai, J., Cincotti, F., Mattia, D., & Babiloni, F. (2011). On the Use Of EEG or MEG Brain Imaging Tools in Neuromarketing Research. Computational Intelligence and Neuroscience, 2011, 643489. https://doi.org/10.1155/2011/643489

[39] Vences, N. A., Díaz-Campo, J., & Rosales, D. F. G. (2020). Neuromarketing as an Emotional Connection tool Between Organizations and Audiences in Social Networks. A Theoretical Review. Frontiers in Psychology, 11, 1787. https://doi.org/10.3389/fpsyg.2020.01787

[40] Weiss, H. (2020). A Brief History of The Super-Ego with An Introduction to Three Papers. The International Journal of Psychoanalysis, 101(4), 724–734. https://doi.org/10.1080/00207578.2020.1796073

[41] Wu, X., Chen, H. X., & Li, X. (2019). The Moderation Effect of Social Factors on Marketing Factors In Consumer Research. Transnational Corporations Review, 11(2), 157–165. https://doi.org/10.1080/19186444.2019.1603778

[42] Yang, Y., Luo, S., Wang, W., Gao, X., Yao, X., & Wu, T. (2024). From Bench to Bedside: Overview of Magnetoencephalography in Basic Principle, Signal Processing, Source Localization and Clinical Applications. NeuroImage: Clinical, 42, 103608. https://doi.org/10.1016/j.nicl.2024.103608

[43] Zhang, Y., Thaichon, P., & Shao, W. (2023). Neuroscientific Research Methods and Techniques in Consumer Research. Australasian Marketing Journal, 31(3), 211–227. https://doi.org/10.1177/14413582221085321

[44] Zhu, Z., Jin, Y., Su, Y., Jia, K., Lin, C.-L., & Liu, X. (2022). Bibliometric-Based Evaluation of the Neuromarketing Research Trend: 2010–2021. Frontiers in Psychology, 13, 872468. https://doi.org/10.3389/fpsyg.2022.872468

How to cite this paper

Dr. Saba Inamdar, Medha A Iyer, Moksha Bafna "Decoding Consumer Desires Through Neuromarketing in the Digital Age" Iconic Research And Engineering Journals Volume 8 Issue 11 2025 Page 190-198
Dr. Saba Inamdar, Medha A Iyer, Moksha Bafna "Decoding Consumer Desires Through Neuromarketing in the Digital Age" Iconic Research And Engineering Journals, vol. 8, no. 11, May. 2025
Dr. Saba Inamdar, Medha A Iyer, Moksha Bafna (2025). Decoding Consumer Desires Through Neuromarketing in the Digital Age. Iconic Research And Engineering Journals, 8(11).
Dr. Saba Inamdar, Medha A Iyer, Moksha Bafna "Decoding Consumer Desires Through Neuromarketing in the Digital Age" Iconic Research And Engineering Journals, vol. 8, no. 11, May. 2025.
@article{1708277,
      author = {Dr. Saba Inamdar, Medha A Iyer, Moksha Bafna},
      title = {Decoding Consumer Desires Through Neuromarketing in the Digital Age},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {11},
      pages = {190-198},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1708277.pdf},
      abstract = {In the digital age, understanding consumer desires has become more complex due to the vast amount of data and rapidly evolving technology. This research explores neuromarketing techniques to decode consumer preferences, focusing on the application of neuroscience-driven insights to refine marketing strategies. By reviewing existing literature, the paper examines technologies such as brain imaging, biometric tracking, and eye-tracking are being utilized to understand emotional responses, decision-making processes, and subconscious behavior in digital environments. The study highlights the potential of neuromarketing to enhance customer engagement, personalize experiences, and improve brand loyalty by aligning marketing efforts with deeper, data-driven consumer insights. The findings underscore the growing significance of incorporating neuroscientific approaches into digital marketing strategies to stay competitive in an ever-evolving market.},
      keywords = {Biometric tracking; Consumer behavior; Digital marketing; Neuromarketing; Personalization},
      month = {May},
  }