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2025/2026  KAN-CEMAV1006U  Neuromarketing (Online course)

English Title
Neuromarketing (Online course)

Course information

Language English
Course ECTS 7.5 ECTS
Type Elective
Level Full Degree Master
Duration One Quarter
Start time of the course Second Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board of Markets & Innovation
Course coordinator
  • Jesper Clement - Department of Marketing (Marketing)
This course is part of the minor in Behavioral Neuroscience and Economy
Main academic disciplines
  • Customer behaviour
  • Communication
  • Marketing
Teaching methods
  • Online teaching
Last updated on 11-02-2025

Relevant links

Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors: The learning objectives of this course are that students can:
  • discuss processes such as attention, perception, emotion and memory and their relevance to marketing-related topics
  • discuss the interplay between conscious and non-conscious process and their downstream effects on consumer responses and behavior
  • reflect upon the implications of neuroscientific research on consumer research and brand
  • identify and discuss the constructs and mental processes that are relevant to a specific marketing case
  • discuss the limitations of different theoretical and methodological approaches in relation to neuromarketing
  • present the argumentation and reflections in a clear, cohesive and structured manner
Course prerequisites
Students should have some background in one or more of the following: marketing, communication, advertising, consumer behaviour, and marketing research.
Examination
Neuromarketing:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 15 pages
Assignment type Case based assignment
Release of assignment An assigned subject is released in class
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Winter
Make-up exam/re-exam
Same examination form as the ordinary exam
* if the student fails the ordinary exam the course coordinator chooses whether the student will have to hand in a revised product for the re- take or a new project.
Course content, structure and pedagogical approach

Contemporary approaches to neuromarketing studies within the scope of the marketing mix will be seen in relation to an added value to marketing research and practice. Specifically, the focus is on the nonconscious processes and emotional responses that are difficult to put words on. Topics such as attention, habits, behaviour, memory, preference formation and decision making are covered. The course provides an opportunity for students to deepen their understanding of how brand elements, design, advertising, store atmosphere are processed in the human brain and body. Furthermore, the course gives insights into the benefits of neuromartketing in short term planning and into long term marketing strategy.

Research-based teaching
CBS’ programmes and teaching are research-based. The following types of research-based knowledge and research-like activities are included in this course:
Research-based knowledge
  • Classic and basic theory
  • New theory
  • Teacher’s own research
  • Methodology
  • Models
Research-like activities
  • Development of research questions
  • Analysis
  • Discussion, critical reflection, modelling
Description of the teaching methods
The teaching method for this course is on-line learning through pre-recorded videos and live on-line lectures with opportunity for discussions, debate, and having student presentations
Feedback during the teaching period
Feedback is given on-line through one or more sessions based on comments, reflections or requests from the students. On-line feedback can be given as a live on-line peer-to-peer discussion supervised by the teacher.
Student workload
Preperation 76 hours
Online lectures 30 hours
Online activities / pre-recorded videos 50 hours
Exam 50 hours
Further Information

This course is part of the minor in Behavioral Neuroscience and Economy
 

Expected literature

Alsharif, A. H., Salleh, N. Z. M., Baharun, R., Hashem E, A. R., Mansor, A. A., Ali, J., & Abbas, A. F. (2021). Neuroimaging techniques in advertising research: Main applications, development, and brain regions and processes. Sustainability, 13(11), 6488.

 

Bagdziunaite, Nassri, Clement & Ramsøy (2014). An added value of neuroscientific tools to understand consumers’ in-store behavior. EMAC Conference Proceeding 2014

 

Berns, G. S., & Moore, S. E. (2012). A neural predictor of cultural popularity. Journal of Consumer Psychology, 22(1), 154–160.

 

Boshoff, C. (2017). An assessment of consumers’ subconscious responses to frontline employees’ attractiveness in a service failure and recovery situation. South African Journal of Economic and Management Sciences, 20(1), 1–13.

 

Ciceri, A., Russo, V., Songa, G., Gabrielli, G., & Clement, J. (2020). A neuroscientific method for assessing effectiveness of digital vs. Print ads: Using biometric techniques to measure cross-media ad experience and recall. Journal of Advertising Research, 60(1), 71-86.

 

Clement, J., Kristensen, T., & Grønhaug, K. (2013). Understanding consumers’ in-store visual perception: The influence of package design features on visual attention. Journal of Retailing and Consumer Services, 20(2).

 

Clement, J., Aastrup, J., & Charlotte Forsberg, S. (2015). Decisive visual saliency and consumers’ in-store decisions. Journal of Retailing and Consumer Services, 22.

 

Ford, J. B. (2019). What do we know about neuromarketing? Journal of Advertising Research, 59(3), 257-258.

 

Fox, R. J., Krugman, D. M., Fletcher, J. E., & Fischer, P. M. (1998). Adolescents’ Attention to Beer and Cigarette Print Ads and Associated Product Warnings. Journal of Advertising, 27(3), 57.

 

Miceli, G. “Nino,” Scopelliti, I., Raimondo, M. A., & Donato, C. (2014). Breaking Through Complexity: Visual and Conceptual Dimensions in Logo Evaluation across Exposures. Psychology & Marketing, 31(10), 886–899.

 

Gidlöf, K., Anikin, A., Lingonblad, M., & Wallin, A. (2017). Looking is buying. How visual attention and choice are affected by consumer preferences and properties of the supermarket shelf. Appetite, 116, 29–38.

 

Guyader, H., Ottosson, M., & Witell, L. (2017). You can’t buy what you can’t see: Retailer practices to increase the green premium. Journal of Retailing and Consumer Services, 34

 

Harris, J. M., Ciorciari, J., & Gountas, J. (2018). Consumer neuroscience for marketing researchers. Journal of consumer behaviour, 17(3), 239-252.

 

Huddleston, P. T., Behe, B. K., Driesener, C., & Minahan, S. (2018). Inside-outside: Using eye-tracking to investigate search-choice processes in the retail environment. Journal of Retailing and Consumer Services, 43, 85-93.

 

Husić-Mehmedović, M., Omeragić, I., Batagelj, Z., & Kolar, T. (2017). Seeing is not necessarily liking: Advancing research on package design with eye-tracking. Journal of Business Research, 80, 145–154.

 

Kahneman D. (2002) MAPS OF BOUNDED RATIONALITY: A PERSPECTIVE ON INTUITIVE JUDGMENT AND CHOICE, Prize Lecture

 

Kirk, U., Skov, M., Christensen, M. S., & Nygaard, N. (2009). Brain correlates of aesthetic expertise: A parametric fMRI study. Brain & Cognition, 69(2), 306–315.

 

Knutson, B., Rick, S., Wimmer, E., Prelec, D., & Loewenstein, G. (2007). Neural Predictors of Purchases. Neuron, 53(4), 147–156.

 

Krugman, D. M., Fox, R. J., Fletcher, J. E., Fischer, P. M., & Rojas, T. H. (1994). DO ADOLESCENTS ATTEND TO WARNINGS IN CIGARETTE ADVERTISING? AN EYE-TRACKING APPROACH. Journal of Advertising Research, 34(6), 39–52.

 

Lee, L., Amir, O., & Ariely, D. (2009). In Search of Homo Economicus: Cognitive Noise and the Role of Emotion in Preference Consistency. Journal of Consumer Research, 36(2), 173–187.

 

Lee, N., Broderick, A. J., & Chamberlain, L. (2007). What is ‘neuromarketing’? A discussion and agenda for future research. Cognitive Neuroscience: Contributions from Psychophysiology, 63(2), 199–204.

 

Lee, N., Brandes, L., Chamberlain, L., & Senior, C. (2017). This is your brain on neuromarketing: reflections on a decade of research. Journal of Marketing Management, 33(11–12), 878–892.

 

Lim, W. M. (2018). Demystifying neuromarketing. Journal of Business Research, 91, 205–220

 

Miceli, G. “Nino,” Scopelliti, I., Raimondo, M. A., & Donato, C. (2014). Breaking Through Complexity: Visual and Conceptual Dimensions in Logo Evaluation across Exposures. Psychology & Marketing, 31(10), 886–899.

 

Milosavljevic, M., & Cerf, M. (2008). First attention then intention. International Journal of Advertising, 27(3), 381–398.

 

O’Neill, R. M., & Lambert, D. R. (2001). The Emotional Side of Price. Psychology & Marketing, 18(3), 217–237.

 

Ohme, R., Reykowska, D., Wiener D., Choromanska, A. (2010), Application of frontal EEG asymmetry to advertising research, Journal of Economic Psychology, Vol. 3, p. 785-793

 

de Oliveira, J. H. C., & de Moura Engracia Giraldi, J. (2017). What is Neuromarketing? A Proposal for a Broader and more Accurate Definition. Global Business & Management Research, 9(2), 19–29

 

Philiastides, M. G., & Ratcliff, R. (2013). Influence of Branding on Preference-Based Decision Making. Psychological Science (0956-7976), 24(7), 1208–1215.

 

Plassmann, H., Venkatraman, V., Huettel, S., & Yoon, C. (2015). Consumer neuroscience: applications, challenges, and possible solutions. Journal of marketing research, 52(4), 427-435.

 

Pieters, R., & Warlop, L. (1999). Visual attention during brand choice: The impact of time pressure and task motivation. International Journal of Research in Marketing, 16(1), 1–16.

 

Pieters, R., Warlop, L., & Wedel, M. (2002). Breaking Through the Clutter: Benefits of Advertisement Originality and Familiarity for Brand Attention and Memory. Management Science, 48(6), 765–781.

 

Pieters, R., & Wedel, M. (2004). Attention Capture and Transfer in Advertising: Brand, Pictorial, and Text-Size Effects. Journal of Marketing, 68(2), 36–50.

 

Pieters, R., & Wedel, M. (2007). Goal Control of Attention to Advertising: The Yarbus Implication. Journal of Consumer Research, 34(2), 224–233.

 

Reimann, M., Weber, B., Bender, T., Zaichkowsky, J., Neuhaus, C. (2010) Aesthetic package design: a behavioural, neural, and psychological investigation. Journal of Consumer Psychology; Journal of Consumer Psychology; 20 (4): 431-441

 

Reutskaja, E., Nagel, R., Camerer, C. F., & Rangel, A. (2011). Search Dynamics in Consumer Choice under Time Pressure: An Eye-Tracking Study. American Economic Review, 101(2),

 

Ryan, L. V. (2017). Sex differences through a neuroscience lens: Implications for business ethics. Journal of Business Ethics, 144(4), 771-782.

 

Sajjacholapunt, P., & Ball, L. J. (2014). The influence of banner advertisements on attention and memory: Human faces with averted gaze can enhance advertising effectiveness. Frontiers in Psychology, 5.

 

Schulte-Mecklenbeck, M., Sohn, M., de Bellis, E., Martin, N., & Hertwig, R. (2013). A lack of appetite for information and computation. Simple heuristics in food choice. Appetite, 71, 242–251.

 

Spence, C. (2019). Neuroscience-inspired design: From academic neuromarketing to commercially relevant research. Organizational Research Methods, 22(1), 275-298.

 

Stothart, G., Maynard, O., Lavis, R., & Munafò, M. (2016). Neural correlates of cigarette health warning avoidance among smokers. Drug and Alcohol Dependence, 161, 155–162.

 

Touhami, Benlafkih, Jiddane, Cherrah, Omar el Malki & Benomar, (2011) Neuromarketing: Where marketing and neuroscience meet, African Journal of Business Management Vol.5 (5), pp. 1528-1532

 

Van, der L., Pieters, R., & Wedel, M. (2008). Competitive Brand Salience. Marketing Science, 27(5), 922–931.

 

Vartanian, O., Navarrete, G., Chatterjee, A., Brorson Fich, L., Leder, H., Modroño, C., … Skov, M. (2013). Impact of contour on aesthetic judgments and approach-avoidance decisions in architecture. Proceedings of the National Academy of Sciences of the United States of America, 110, 10446–10453.

Last updated on 11-02-2025