The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
A Fuzzy Segmentation Approach to Guide Marketing Decisions
Abstract
The aim of this chapter is to present a fuzzy segmentation model that combines statistical and Artificial Intelligence techniques to identify and quantify multifaceted consumers. One of the primary challenges faced by companies is getting to know their consumers. The latter are increasingly complex, versatile, ever-changing, and even contradictory; in other words, they are multifaceted. There is thus a need for techniques and tools to be able to segment this type of consumer in order to provide companies with the realistic information they need to make the appropriate marketing decisions. A real case study from the Spanish energy industry is included in this chapter to demonstrate the potential of the segmentation model being proposed.
Related Content
|
Albérico Travassos Rosário, Joana Carmo Dias.
© 2024.
35 pages.
|
|
Elena García-y-García, Francisco Rejón-Guardia, Laura Berenice Sánchez-Baltasar.
© 2024.
35 pages.
|
|
Nino Tchanturia, Rusudan Dalakishvili.
© 2024.
20 pages.
|
|
Žiga Domadenik, Tina Tomažič.
© 2024.
21 pages.
|
|
Loredana Kotinski.
© 2024.
14 pages.
|
|
Margarida Silva, Nataliia Buchko, Natalia Parashchenko, Titanilla Marta Szaszi, Yevheniia Tovstyk.
© 2024.
15 pages.
|
|
A. N. Raghavendra, G. Vijayakumar, Sanjeev Kumar Thalari.
© 2024.
16 pages.
|
|
|