¡Pide mi vino!análisis con eye tracking del etiquetado de botellas de vino en una feria nacional del vino

  1. Retamosa Ferreiro, Marta
  2. Gómez Borja, Miguel Ángel 1
  3. Millán Campos, Ángel 1
  1. 1 Universidad de Castilla-La Mancha
    info

    Universidad de Castilla-La Mancha

    Ciudad Real, España

    ROR https://ror.org/05r78ng12

Revista:
Vivat Academia

ISSN: 1575-2844

Año de publicación: 2021

Número: 154

Tipo: Artículo

DOI: 10.15178/VA.2021.154.E1344 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Vivat Academia

Resumen

In a saturated and hyper-communicated society, effective design is key to the success of a product. Neuroscientific tools at the service of advertising and marketing are effective instruments for predicting consumer behaviour. Considering this context and the great diversity of wines sold in the spanish wine market, the aim is to analyse the labelling of a selection of wine brands and bottles. The main objective of the research was to demonstrate to the wineries involved which areas of their labels on the bottles aroused the greatest interest or engagement with their target audience. The study employed a desktop eye tracker and it was carried out at the national wine fair (FENAVIN) held in Ciudad Real (Castilla La-Mancha) in 2019.  The sample under analysis is comprised of sector specialists attending the fair. Findings revealed that the upper and central areas of the labelling were of greater interest, identifying the blind areas that were not attended by the sample. The study concludes that the degree of attractiveness and originality in label design are key determinants in consumer perception and selection processes.

Referencias bibliográficas

  • Ares, G., Giménez, A. N. A., Bruzzone, F., Vidal, L., Antúnez, L., & Maiche, A. (2013). Consumer visual processing of food labels: Results from an eye tracking study. Journal of Sensory Studies, 28(2), 138–153. https://doi.org/10.1111/joss.12031
  • Boricean, V. (2009, 14 - 15th, November). Brief history of Neuromarketing [ponencia]. ICEA – FAA, Bucharest.
  • Bridger, D., & Noble, T. (2015). New tools and techniques for understanding non-conscious consumer decisions. Applied Marketing Analytics, 1(3), 214-220.
  • Casado-Aranda, L. A., Sánchez-Fernández, J., & Ibáñez-Zapata, J. Á. (2020). Evaluating Communication Effectiveness through Eye Tracking: Benefits, State of the Art, and Unresolved Questions. International Journal of Business Communication, https://doi.org/10.1177/2329488419893746
  • Chandon, P. & Wansink, B. (2012). Does food marketing need to make us fat? A review and solutions. Nutrition reviews, 70(10), 571-593.
  • Cheng, T. E., Lai, L. C., & Yeung, A. C. (2008). The driving forces of customer loyalty: a study of internet service providers in Hong Kong. International Journal of E-Business Research (IJEBR), 4(4), 26-42.
  • Clement, J. (2007). Visual influence on in-store buying decisions: an eye-track experiment on the visual influence of packaging design. Journal of marketing management, 23(9-10), 917-928.
  • CMMMedia (2019). FENAVIN en cifras. https://bit.ly/3a5Hgcr.
  • Creusen, M. E., & Schoormans, J. P. (2005). The different roles of product appearance in consumer choice. Journal of product innovation management, 22(1), 63-81. https://doi.org/10.1111/j.0737-6782.2005.00103.x
  • Federación Española del Vino (FEV) (2020). Datos del sector vinícola español. http://www.fev.es/sector-cifras/
  • Hübner, R., Steinhauser, M., & Lehle, C. (2010). A dual-stage two-phase model of selective attention. Psychological review, 117(3), 759. https://doi.org/10.1037/a0019471
  • Itti, L., & Koch, C. (2001). Computational modelling of visual attention. Nature reviews neuroscience, 2(3), 194-203. https://doi.org/10.1038/35058500
  • Laubrock, J., Engbert, R., Rolfs, M. & Kliegl, R. (2007). Microsaccades are an index of covert attention: Commentary on Horowitz, Fine, Fencsik, Yurgenson, Wolfe. Psychological Science, 18(4), 364-366. https://doi.org/10.1111/j.1467-9280.2007.01904.x
  • Lewinski, P., Fransen, M. L., & Tan, E. S. (2014). Predicting advertising effectiveness by facial expressions in response to amusing persuasive stimuli. Journal of Neuroscience, Psychology, and Economics, 7(1), 1. https://doi.org/10.1037/npe0000012
  • Mannan, S. K., Kennard, C., & Husain, M. (2009). The role of visual salience in directing eye movements in visual object agnosia. Current biology, 19(6), 247-248. https://doi.org/10.1016/j.cub.2009.02.020
  • Milosavljevic, M., Navalpakkam, V., Koch, C., & Rangel, A. (2011). Relative visual saliency differences induce sizable bias in consumer choice. Journal of Consumer Psychology, 22(1), 67-74. https://doi.org/10.1016/j.jcps.2011.10.002
  • O'Connel, B., Walden, S. & Pohlmann, A. (2011). Marketing and Neuroscience. What Drives Customer Decisions? American Marketing Association, White Paper.
  • Oliver, R. L. (1999). Whence consumer loyalty? Journal of marketing, 63(4_suppl1), 33-44. https://doi.org/10.1177/00222429990634s105
  • Peng, L. Y., & Wang, Q. (2006). Impact of relationship marketing tactics (RMTs) on switchers and stayers in a competitive service industry. Journal of marketing management, 22(1-2), 25-59. https://doi.org/10.1362/026725706776022263
  • 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