Neuromarketing and Consumer Behavior: Insights from Brain–Computer Interfaces
DOI:
https://doi.org/10.65579/sijri.2025.v1i3.03Keywords:
Neuromarketing, Consumer Behavior, Brain–Computer Interface (BCI), Neuroeconomics, Decision-Making, EEG and fMRI, Emotional Engagement, Attention and Cognition, Marketing Ethics, Neural Data PrivacyAbstract
With the ever-growing levels of competition and the fast-changing consumer environment, more than ever before, it is important to know the mechanisms behind the purchasing decision. This paper focuses on the intersection of neuromarketing and brain–computer interface (BCI) technologies to demonstrate how neural reactions can be used to understand how consumer preferences, attention patterns and buying intentions are formed. Based on the literature review about the electroencephalography (EEG), functional magnetic resonance imaging (fMRI) and novel BCI devices, the analysis will reveal the critical patterns of activation, especially in areas related to the reward processing, emotional involvement and cognitive load that are correlated with consumer choice behaviours. This study also illustrates the role of the BCIs in enabling attention to be directly measured, affective arousal and decision-making processes to be measured in real time to supplement the conventional marketing research techniques (which depend on conscious self-reporting and retrospective surveys). Besides, the paper examines implications of the work to the marketer: personalizing stimuli to maximize engagement, packaging and message design based on neuro-foundations of preference, and personalization by exploiting adaptive feedback. Simultaneously, the paper is critical of the ethical boundaries, such as the privacy of neural information, the informed consent of the participants of the BCI research, the possibility to manipulate the participants and regulate the action. Lastly, there are technological and methodological limitations: the problem of signal-noise in BCI hardware, heterogeneity of population in studies, scalability of neuromarketing experiments and their integration with big-data marketing systems. The paper ends with a prospective map: future developments of multimodal BCI systems, the support of pattern detection with machine-learning, and the expansion of the area into naturalistic consumer context that is not in the laboratory. This study, in synthesizing neuroscience, marketing and technology had provided a holistic approach to the way in which BCIs can sharpen our perception of consumer behaviour and influence more productive and responsible marketing practices.





