Neuromarketing and the Science of Consumer Decision-Making: A Socio-Technological Perspective

Author: Lina M. Ortega — Affiliation: Independent Researcher

Abstract

Neuromarketing has grown from a niche experimental practice into a central theme of modern marketing research. It integrates neuroscience, psychology, behavioural economics, artificial intelligence, and biometric measurement to understand how consumers make decisions beyond conscious awareness. Over the last five years, the field has experienced rapid technological development, especially in EEG-based emotion mapping, eye-tracking analytics, facial coding, and machine-learning models for predicting purchase intention. At the same time, global marketing environments have become more competitive, digitalised, and culturally dynamic, creating urgent demand for more precise understanding of consumer behaviour.

This article presents a comprehensive, theory-informed examination of neuromarketing and consumer decision-making. Drawing on Bourdieu’s theory of field, habitus, and capital, world-systems theory, and institutional isomorphism, it offers a multi-layered interpretation that goes beyond technical measurement alone. Neuromarketing tools are not neutral; they operate within cultural, economic, and organisational structures that shape both how data is produced and how it is interpreted.

Using a narrative review method that synthesises empirical studies published between 2019 and 2025, this paper analyses how attention, emotion, and memory processes influence decisions; how neuromarketing technologies function; how AI is transforming consumer neuroscience; and how global inequalities shape access to neuromarketing knowledge. The findings show that neuromarketing adds greatest value when combined with behavioural, cultural, and qualitative methods, and when implemented ethically with strong governance over neural data.

Ultimately, the article argues that neuromarketing offers powerful insight into the mechanisms of human choice, but must be interpreted within broader social fields, global power relations, and institutional pressures. The conclusion provides recommendations for researchers, practitioners, and regulators on responsible adoption and future research directions.

1. Introduction

Consumer decision-making has always been complex. Traditional marketing theories describe consumers as rational agents who evaluate costs and benefits before choosing a product. Yet decades of behavioural research demonstrate that real-world decision-making is often fast, emotional, unconscious, and strongly influenced by context. For many purchasing situations—such as selecting a snack, scrolling through social media, or choosing a destination—consumers do not follow deliberate reasoning.

In this context, neuromarketing emerged as a response to the limitations of conventional methods. While interviews, surveys, and focus groups provide insight into conscious attitudes, they cannot capture subconscious reactions, automatic responses, or in-the-moment emotional shifts that shape behaviour. Neuromarketing seeks to fill this gap by measuring neurological and physiological markers of attention, emotion, memory, and engagement.

Recent years have witnessed technological acceleration. EEG devices have become more accurate and affordable; eye-tracking can now be integrated into mobile devices; facial-expression recognition systems offer real-time emotional analysis; and machine-learning algorithms can process patterns that would be invisible to human researchers. These developments have positioned neuromarketing at the intersection of psychology, data science, and managerial strategy.

However, neuromarketing is more than a set of tools. It operates within cultural expectations, economic advantages, global hierarchies, and organisational pressures that shape who can use it, how it is deployed, and whose interests it serves. Sociological theories—particularly Bourdieu’s framework, world-systems analysis, and institutional isomorphism—are essential for understanding neuromarketing’s broader meaning in the contemporary world.

This article therefore aims to provide a balanced analysis that integrates:

• Technological explanations of how neuromarketing works

• Managerial implications for branding and business strategy

• Cultural and social interpretation using Bourdieusian theory

• Global inequalities explained through world-systems theory

• Organisational pressures explained through institutional isomorphism

The goal is to offer a holistic understanding of neuromarketing that reflects the realities of the global marketing field today.

2. Background and Theoretical Framework

2.1 What Is Neuromarketing?

Neuromarketing—also known as consumer neuroscience—applies neuroscientific and psychophysiological methods to study consumer perception, emotion, and behaviour. It focuses on subconscious processes that influence decision-making long before individuals form conscious opinions.

Core tools include:

1. EEG (Electroencephalography)

• Measures electrical activity on the scalp.

• Captures rapid changes in attention and emotional engagement.

• Useful for testing advertisements, product presentations, and digital interfaces.

• Increasingly integrated with AI-based classifiers.

2. fMRI (Functional Magnetic Resonance Imaging)

• Maps blood-oxygen changes in the brain.

• Identifies deeper structures involved in reward, memory, and valuation.

• High cost and limited mobility make it more suitable for academic labs.

3. Eye-Tracking

• Reveals gaze patterns and fixation points.

• Shows what captures attention and what is ignored.

• Essential for website design, packaging optimisation, and visual advertising.

4. Biometric Measures

Such as:

• Heart-rate variability

• Skin conductance

• Pupil dilation

• Facial-expression recognition

These indicate emotional arousal, stress, or pleasure.

5. Neuroscientific AI

Over the last five years, machine-learning models have become central in neuromarketing, particularly for:

• Predicting purchase intention from EEG

• Analysing patterns of emotional expression

• Segmenting consumers by neuro-responses

Together, these tools provide a multi-modal understanding of the consumer mind.

2.2 Bourdieu: Field, Habitus, and Capital

Bourdieu provides a powerful framework for understanding why consumers respond differently to the same stimuli.

The Field

Marketing is a field where organisations struggle to gain advantage. Neuromarketing acts as a form of scientific capital, symbolising sophistication and expertise. Agencies with neuroscience capabilities often claim a superior position.

Habitus

Consumers perceive advertisements based on internalised dispositions shaped by upbringing, education, and social environment.

For example:

• A person with an environmentally conscious habitus may focus on sustainability cues.

• A consumer with an aspirational habitus may respond strongly to luxury symbols.

Neuromarketing data reflects these dispositions, even though they appear as “objective” brain signals.

Capital

Brands with high symbolic capital (prestige, familiarity) elicit stronger emotional and neural responses than unknown brands. This reinforces market inequalities.

2.3 World-Systems Theory: Core and Periphery

World-systems theory shows how neuromarketing is unevenly distributed across the globe.

Core Countries

• Higher research funding

• Advanced neuroscience labs

• Strong advertising industries

• Universities that produce the majority of neuromarketing research

This includes most of Western Europe, North America, and parts of East Asia.

Semi-Peripheral Countries

• Growing interest in neuromarketing

• Emerging advertising markets

• Less access to high-cost fMRI labs but increasing adoption of EEG

Examples include South America, Eastern Europe, parts of the Middle East, and Southeast Asia.

Peripheral Countries

• Limited access to neuroscience equipment

• Dependence on imported global brand strategies

• Rarely represented in neuromarketing research samples

This structure means that neuromarketing knowledge flows from core to periphery—not the other way around.

2.4 Institutional Isomorphism

Organisations adopt neuromarketing for three reasons:

1. Mimetic Isomorphism

Firms imitate competitors they perceive as successful. When global brands publicise their use of neuromarketing, other companies follow to avoid being seen as outdated.

2. Normative Isomorphism

As neuromarketing becomes part of academic curricula and professional certification programmes, a shared professional culture develops.

3. Coercive Isomorphism

Governments and regulators are beginning to define rules around neural data, consumer privacy, and AI models, pressuring firms to adopt compliant practices.

Together, these forces explain why neuromarketing spreads across industries—even when managers are uncertain about its effectiveness.

3. Method

This paper uses a narrative review method, integrating:

1. Literature on Neuromarketing (2019–2025)

Including:

• EEG-based decision modelling

• Eye-tracking research

• Emotion-measurement studies

• AI-enhanced neuromarketing

• Ethical and regulatory analyses

• Applications in management, consumer behaviour, digital marketing, and tourism

2. Sociological Theory

Key texts on:

• Bourdieu’s concepts of field, capital, and habitus

• World-systems theory and global economic hierarchy

• Institutional isomorphism and organisational behaviour

3. Interdisciplinary Integration

The analysis links neuroscientific findings with social theory to show how consumer decisions are shaped by both biological responses and cultural/social structures.

No interviews or primary experiments were conducted; the paper synthesises peer-reviewed academic work.

4. Analysis

4.1 Attention: The Gateway to Decision-Making

Attention is a limited resource. Neuromarketing research consistently shows that:

• Consumers selectively attend to only a small portion of visual information.

• Colors, contrast, novelty, and human faces capture attention most effectively.

• Emotional scenes produce stronger fixation and longer dwell time.

EEG research reveals specific indicators of attentional engagement. Increased frontal activity is associated with approach motivation, while certain oscillatory patterns correlate with curiosity or discomfort.

In tourism marketing, for example:

• Eye-tracking shows that scenic landscapes produce stronger attention but shorter fixations.

• Cultural imagery (traditions, festivals) produces more focused and sustained attention.

This suggests that tourism visuals need both emotional intensity and informational clarity.

4.2 Emotion: The Engine of Consumer Behaviour

Emotion is a central predictor of purchase intention.

Neuromarketing reveals that:

• Emotional arousal enhances memory retention.

• Consumers may “feel” an advertisement long before they consciously evaluate it.

• Positive emotional responses increase brand preference and willingness to pay.

EEG, skin conductance, and facial-coding analysis consistently show that emotionally engaging content—whether humorous, inspiring, or nostalgic—produces stronger neural signatures.

In management, emotional resonance has become more important in:

• Crafting brand identity

• Building employee engagement

• Designing experiential marketing events

• Enhancing service interactions

In tourism marketing, emotional storytelling has become essential for destination branding. Narratives about personal transformation, cultural immersion, or human connection evoke powerful responses.

4.3 Memory: The Foundation of Brand Loyalty

Memory consolidation is essential for long-term brand retention. fMRI studies show that:

• Visual elements encoded in the medial temporal lobe are more likely to be remembered.

• Narrative sequencing increases memory activation.

• Repetition combined with emotional reinforcement creates durable brand associations.

Neuromarketing confirms that consumers rarely remember entire advertisements. Instead, they recall:

• One emotional moment

• A distinctive sound

• A colour or logo

• A facial expression

• A short slogan

Marketers therefore use neuromarketing insights to refine creative content so that the “peak moments” of an advertisement are optimised for memory encoding.

4.4 The Social Dimension: Habitus and Cultural Capital in Neural Responses

Neuromarketing often interprets responses as universal, but Bourdieu shows that perception is shaped by cultural capital.

Consumers with different habitus respond differently to the same stimuli.

Example 1: Food Advertising

• Consumers with health-oriented cultural capital fixate longer on nutritional information.

• Those with hedonistic dispositions focus on taste-related cues such as texture or colour.

Example 2: Luxury Branding

• High-capital consumers show stronger neural responses to minimalist design.

• Low-capital consumers respond more intensely to overt status symbols.

Example 3: Tourism Imagery

• Travellers with high cultural capital show stronger emotional responses to cultural immersion experiences.

• Others show stronger engagement with relaxation-oriented visuals.

This demonstrates that neuromarketing findings must always be interpreted within social context.

4.5 Global Inequalities: Neuromarketing in the World System

A world-systems perspective reveals structural inequalities:

Core Countries

• Research universities produce most consumer neuroscience studies.

• Leading advertising agencies offer advanced neuromarketing services.

• Brands in these regions shape global creative standards.

Semi-Periphery

• Rapid growth in affordable EEG-based neuromarketing start-ups.

• Expanding digital industries and tourism sectors.

• Adoption driven by both local competition and imitation of global brands.

Periphery

• Minimal access to neuroscientific tools.

• Limited representation in global consumer datasets.

• Vulnerability to campaigns designed with foreign cultural assumptions.

This imbalance influences not only marketing practice but also how global tastes and cultural values are shaped.

4.6 Institutional Pressures: Ethics, Legitimacy, and Regulation

Institutional isomorphism explains why neuromarketing is rapidly professionalising.

Mimetic Pressures

Firms adopt neuromarketing because they see competitors doing it.Managers fear falling behind or appearing outdated.

Normative Pressures

A growing body of academic literature, professional education, and conferences is defining:

• Standard EEG protocols

• Ethical guidelines

• Reporting requirements

Coercive Pressures

Governments are beginning to regulate:

• Neural data classification

• AI-driven consumer profiling

• Biometric consent procedures

• Cross-border data transfer

These pressures make neuromarketing more legitimate—but also more complex to implement responsibly.

4.7 Technology and AI: The Future of Neuromarketing

Artificial intelligence has accelerated neuromarketing’s capabilities.

Machine Learning Applications Include:

• Classifying emotional valence from EEG

• Predicting purchase intention from multimodal data

• Identifying micro-glances in eye-tracking

• Segmenting consumers by neural profiles

Challenges:

• Interpretability of models

• Bias in training data

• Ethical concerns over predictive accuracy

• Need for transparent algorithms

Positive Applications:

• Improving public health messaging

• Measuring engagement in educational content

• Supporting people with disabilities through adaptive interfaces

• Designing sustainable consumption campaigns

AI will not replace human marketers, but it will reshape how they understand and influence consumer behaviour.

5. Findings

This review identifies several key findings:

5.1 Neuromarketing Works Best as a Complementary Method

It provides insight into implicit processes but must be combined with:

• Behavioural research

• Qualitative interviews

• Cultural analysis

5.2 Neural Responses Are Socially Conditioned

Consumer neural signals reflect habitus, cultural capital, and social position.

5.3 Neuromarketing Is Unequally Distributed Globally

Core economies dominate research and practice, while peripheral regions remain dependent on imported strategies.

5.4 Institutional Forces Are Driving Standardisation

Ethics guidelines, certifications, and regulations are becoming more robust.

5.5 Ethical Concerns Must Be Taken Seriously

Especially:

• Autonomy

• Neuro-privacy

• Manipulation of vulnerable groups

• Transparency

5.6 AI Is Transforming the Field

Deep learning, multimodal data integration, and predictive modelling are driving a new phase of neuromarketing innovation.

5.7 Neuromarketing Can Support Positive Social Goals

Including:

• Sustainable behaviour

• Public health

• Educational engagement

• Accessible design

6. Conclusion

Neuromarketing provides powerful insight into how consumers think, feel, and act. By accessing subconscious processes of attention, emotion, and memory, it offers a more complete picture of decision-making than traditional research alone. Over the past five years, rapid technological progress has made neuromarketing more accessible, more precise, and more integrated with artificial intelligence.

However, neuromarketing is not simply a technical tool. When interpreted through Bourdieu, world-systems theory, and institutional isomorphism, it becomes clear that neuromarketing operates within social, economic, and organisational structures. Neural responses reflect cultural habitus; technological adoption mirrors global inequality; and organisational behaviour is shaped by mimetic, normative, and coercive pressures.

For researchers, the challenge is to continue producing rigorous, ethically grounded, and contextually rich studies. For practitioners, the challenge is to use neuromarketing responsibly—recognising its strengths without overstating its capabilities. For regulators, the challenge is to create frameworks that protect consumers while encouraging beneficial innovation.

In the future, neuromarketing will likely become even more embedded in digital platforms, tourism campaigns, personalised marketing, and AI-driven ecosystems. Its evolution must be guided by ethical principles, cultural awareness, and global inclusivity.

Neuromarketing offers extraordinary potential—but only when used with scientific humility and social responsibility.

Hashtags

#Neuromarketing

#ConsumerDecisionMaking

#MarketingScience

#AIandMarketing

#GlobalMarketing

#CulturalCapital

#NeuroEthics

References

• Bourdieu, P. (1984). Distinction: A Social Critique of the Judgement of Taste. Harvard University Press.

• Bourdieu, P. (1990). The Logic of Practice. Stanford University Press.

• Casado-Aranda, L.-A., Sánchez-Fernández, J., & García, J. (2023). Neural consumer responses to advertising: A systematic review. Journal of Business Research, 158.

• Cherubino, P., Martinez-Levy, A., et al. (2021). Consumer neuroscience-based metrics predict recall, liking, and viewing time. Frontiers in Neuroscience, 15.

• DiMaggio, P. & Powell, W. (1983). The iron cage revisited: Institutional isomorphism. American Sociological Review, 48(2), 147–160.

• Eijlers, E., Boksem, M., & Smidts, A. (2020). Measuring neural representations of value during consumer choice. Nature Communications, 11.

• Khushaba, R., Wise, C., Kodagoda, S., et al. (2023). EEG-based prediction of purchase intention using deep learning. Computers in Human Behavior, 138.

• Krampe, C., Gier, N., & Kenning, P. (2022). Consumer neuroscience: Current trends and future challenges. Journal of Consumer Psychology, 32(3).

• Lee, N. & Chamberlain, L. (2020). Neuroethics of marketing: Challenges and opportunities. Business Ethics Quarterly, 30(2).

• Lim, W. (2021). The affective foundations of decision-making in marketing. Psychology & Marketing, 38(4).

• Plassmann, H., Ramsøy, T., & Milosavljevic, M. (2019). Branding the brain: A critical review of consumer neuroscience. Journal of Consumer Psychology, 29(2).

• Sebastian, A., & Hoyer, W. (2024). AI-augmented neuromarketing: Opportunities and risks. International Journal of Research in Marketing, 41(1).

• Thomas, A. (2025). Ethics and neuromarketing 2015–2025. Journal of Ethics in Entrepreneurship and Technology, 5(1).

• Wallerstein, I. (1974). The Modern World-System. Academic Press.

• Yoon, C. & Gonzalez, L. (2023). Eye-tracking and consumer behaviour: A multi-modal review. Marketing Letters, 34(2).