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Neuromarketing to Discover Customer Satisfaction

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Advanced Research in Technologies, Information, Innovation and Sustainability (ARTIIS 2022)

Abstract

This research work pursues the techniques and methodologies of a emotion reading system and if it’s economically feasible which will be able to find emotions the related with satisfaction of customers with the use of encephalography device and obtain relevant information to apply in researches of customers satisfaction, this in order to provide a guides to small businesses or medium on applying this techniques to understand better the client needs and get long term relationships with customers in the most optimal way on different products and needs from the consumers which will help to classify with different and new data, this will be able to take into account the gender and age of the clients to be reached. The document will review the methodology and techniques and use of electroencephalogram (EEG) recollection of data and databases to show how to deploy small projects for regions and help determine the real felling of the consumer, this will help companies focuses in the customer satisfaction, loyalty and advertise according to the parameters found in the procedure applied in each region. This will give companies from small and even medium-sized to have a better overview of their products or services that helps them make the decision on which will be their next step on the development of products, invest resources in according to the feelings of the consumers’ needs and what they are looking, this will benefit the creation of long term relationship and loyalty between business and customers.

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Correspondence to Luis Alberto Partida Ramirez .

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Ramirez, L.A.P., Marquez, B.Y., Magdaleno-Palencia, J.S. (2022). Neuromarketing to Discover Customer Satisfaction. In: Guarda, T., Portela, F., Augusto, M.F. (eds) Advanced Research in Technologies, Information, Innovation and Sustainability. ARTIIS 2022. Communications in Computer and Information Science, vol 1676. Springer, Cham. https://doi.org/10.1007/978-3-031-20316-9_15

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  • DOI: https://doi.org/10.1007/978-3-031-20316-9_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20315-2

  • Online ISBN: 978-3-031-20316-9

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