Customer Segmentation Based on Self-Organizing Maps: A Case Study on Airline Passengers
Customer segmentation is a customer grouping model based on common features and it directly relates with customer satisfaction of the companies. It provides access to the right customer with the right methods by knowing the customer better. Dealing with changes in a competitive market means airlines have to redefine customer segmentations, which translates from social-demography to a more complex behavioral approach that covers the entire travel experience and the way airlines deliver at every touch point. In this paper, a customer segmentation was performed using an airline ticket sales data. Customers with similar sales tendencies were clustered by using self- organizing map method and totally 15 clusters were obtained.
Copyright (c) 2020 Journal of Aeronautics and Space Technologies
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The manuscript with title and authors is being submitted for publication in Journal of Aeronautics and Space Technologies. This article or a major portion of it was not published, not accepted and not submitted for publication elsewhere. If accepted for publication, I hereby grant the unlimited and all copyright privileges to Journal of Aeronautics and Space Technologies.
I declare that I am the responsible writer on behalf of all authors.