Anticipating the Effects of Marketing Communication: A Neuroeconomic Framework for Marketing Purposes
High expectations in neuroeconomics raised the hope of marketers that their (daily business) problems could be solved easily. In fact, neuroeconomics has provided considerable insights for marketing science and business practice concerning consumer decision making over the last two decades. However, tapping into customer’s black box of unconscious and automatic processes, so-called implicit processes, does not require the mandatory usage of advanced neuroimaging techniques, such as fMRI. In order to obtain a specific brand positioning in customer’s head, brand communication is an effective means for the marketing of ideas to gain a promoted cortical representation probability and, consequently, an enhanced perceptual and behavioral impact. The marketing of ideas itself is closely related to the concept of brand associations. Those types of associations can be assessed by implicit association measures from psychology (e.g., Implicit Association Test) comparatively accurately but are less properly measured with neuroimaging due to physiological and scientific fallibility. Against this background, the current work introduces a practical neuroscience-related brand communication framework incorporating explicit and implicit brand-related associations to provide guidance for serious marketing-related communication purposes. Moreover, the performance of the introduced conceptual model is tested. In detail, the presented case study demonstrated sufficient performance to detect associative branding change via a (short) communication contact. Specifically, the combined application of implicit, concretely an advanced latency-based tool, and explicit measures, concretely a conventional self-report, provides an integrated assessment of brand-related marketing efforts in general and brand communication activities in particular.
KeywordsImplicit Measures Reaction Time Measurement Attention Tracking Neuroeconomics Brand Management
- Bartlett, M. S., Movellan, J. R., Littlewort, G. C., Braathen, B., Frank, M. G., & Sejnowski, T. J. (2005). Toward automatic recognition of spontaneous facial actions. In P. Ekman & E. L. Rosenberg (eds.), What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System (FACS) (2nd edition, pp. 393–412). New York: Oxford University Press.Google Scholar
- Bennett, C. M., Baird, A. A., Miller, M. B., & Wolford, G. L. (2010). Neural correlates of interspecies perspective taking in the post-mortem Atlantic Salmon: An argument for multiple comparisons correction. Journal of Serendipitous and Unexpected Results, 1(1), 1–5.Google Scholar
- Bischof, N. (1985). Das Rätsel Ödipus: Die biologischen Wurzeln des Urkonfliktes von Intimität und Autonomie. München: Piper.Google Scholar
- Bischof, N. (1990). Phase transitions in psychoemotional development. In H. Haken & M. Stadler (eds.), Synergetics of cognition, proceedings of the international symposium at Schloss Elmau, Bavaria, June 4–8 (pp. 361–378). Berlin: Springer.Google Scholar
- Cacioppo, J. T., & Petty, R. E. (1984). The elaboration likelihood model of persuasion. In T. C. Kinnear (eds.), Advances in consumer research (Vol. 11 pp. 673–675). Provo: Association for Consumer Research.Google Scholar
- Choudhury, S., & Slaby, J. (2012). Introduction: Critical neuroscience – between lifeworld and laboratory. In S. Choudhury & J. Slaby (eds.), Critical neuroscience: A handbook of the social and cultural contexts of neuroscience (pp. 1–26). Chichester: Wiley-Blackwell.Google Scholar
- Damasio, A. R. (1994). Descartes’ error: Emotion, reason, and the human brain. New York: Avon Books.Google Scholar
- De Houwer, J. (2006). What are implicit measures and why are we using them? In R. W. Wiers & A. W. Stacy (eds.), Handbook of implicit cognition and addiction (pp. 11–28). Thousand Oaks: Sage.Google Scholar
- Deppe, M., Schwindt, W., Krämer, J., Kugel, H., Plassmann, H., Kenning, P., & Ringelstein, E. B. (2005b). Evidence for a neural correlate of a framing effect: Bias-specific activity in the ventromedial prefrontal cortex during credibility judgments. Brain Research Bulletin, 67(5), 413–421.CrossRefGoogle Scholar
- European Research Council. (2013). ERC projects to unlock mysteries of the human brain. http://erc.europa.eu/sites/default/files/publication/files/unlock_mysteries_of_human_brain.pdf. Accessed 21 Nov 2014.
- eye square. (2014). BrandREACT. http://www.eye-square.com. Accessed 29 May 2014.
- Fazio, R. H. (1990). Multiple processes by which attitudes guide behavior: The MODE model as an integrative framework. In M. P. Zanna (eds.), Experimental social psychology (Vol. 23 pp. 75–109). San Diego: Academic Press.Google Scholar
- Graham, S., & Weiner, B. (1996). Theories and principles of motivation. In D. C. Berliner & R. C. Calfee (eds.), Handbook of educational psychology (pp. 63–84). New York: Simon & Schuster Macmillan.Google Scholar
- Gubler, H., & Bischof, N. (1991). A systems theory perspective. In M. E. Lamb & H. Keller (eds.), Infant development: Perspectives from German-speaking countries (pp. 35–66). Hillsdale: Erlbaum.Google Scholar
- Interbrand (2014). Methodology. http://www.bestglobalbrands.com/2014/methodology. Accessed 07 Dec 2014.
- Kahneman, D. (2011). Thinking, fast and slow. New York: Macmillan.Google Scholar
- Keller, K. L. (1996). Brand Equity and Integrated Communication. In. E. Thorson & J. Moore (eds.), Integrated Communication: Synergy of Persuavise Voices (pp. 103–132). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
- Kenning, P., & Linzmajer, M. (2011). Consumer neuroscience – An overview of an emerging discipline with implications for consumer policy. Journal of Consumer Protection and Food Safety, 6(1), 111–125.Google Scholar
- Lindstrom, M. (2008). Buyology: Truth and lies about why we buy. New York: Random House.Google Scholar
- National Institutes of Health (2014). The brain initiative. http://www.braininitiative.nih.gov/BRAIN-Brochure.pdf. Accessed 21 Nov 2014.
- Nosek, B. A., Greenwald, A. G., & Banaji, M. R. (2007). The implicit association test at age 7: A methodological and conceptual review. In J. A. Bargh (eds.), Automatic processes in social thinking and behavior (pp. 265–292). New York: Psychology Press.Google Scholar
- Pradeep, A. K. (2010). The buying brain: Secrets for selling to the subconscious mind. Hoboken: Wiley.Google Scholar
- Rocha, M. (2014). Financial applications for brand valuation. http://interbrand.com/en/views/37/financial-applications-for-brand-valuation. Accessed 07 Dec 2014.
- Schneider, M. (2001). Systems theory of motivational development. In N. J. Smelser & P. B. Baltes (eds.), International encyclopedia of the social & behavioral sciences (pp. 10120–10125). Oxford: Elsevier.Google Scholar
- Seymour, E., & Rosemary, P. (1999). Some basic issues regarding dual-process theories from the perspective of cognitive–experiential self-theory. In S. Chaiken & Y. Trope (eds.), Dual-process theories in social psychology (pp. 462–482). New York: Guilford Press.Google Scholar
- Wilkie, W. (1986). Consumer behaviour. New York: Wiley.Google Scholar
- Wilson, T. D. (2002). Strangers to ourselves: Discovering the adaptive unconscious. Cambridge: Belknap Press.Google Scholar