{"title":"Profiling Mobile Service Customers in the Spanish Market","authors":"Cristina Calvo-Porral","doi":"10.4018/978-1-7998-0050-7.ch011","DOIUrl":null,"url":null,"abstract":"This research aims to examine whether different user groups exist in the mobile services industry and to profile and characterize them in order to provide management recommendations for mobile service companies. To examine the users' behavior in the mobile services sector, customer segmentation by means of factor analysis and k-means cluster analysis is developed with data from 443 mobile service users. Further, a Manova test is conducted to confirm differences among the obtained user segments. Mobile service customers cannot be seen as a homogenous group, since different customer profiles coexist in the mobile service industry. More specifically, four user clusters emerge from the research findings, namely “pragmatic uninvolved,” “satisfied savers,” “prone-to-switch” users, and “service mavens,” the “service mavens” being the most attractive segment for mobile service companies. A behavioral-based segmentation is developed to extend the understanding of customer behavior in the mobile services field.","PeriodicalId":202263,"journal":{"name":"Research Anthology on Concepts, Applications, and Challenges of FinTech","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Anthology on Concepts, Applications, and Challenges of FinTech","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-7998-0050-7.ch011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research aims to examine whether different user groups exist in the mobile services industry and to profile and characterize them in order to provide management recommendations for mobile service companies. To examine the users' behavior in the mobile services sector, customer segmentation by means of factor analysis and k-means cluster analysis is developed with data from 443 mobile service users. Further, a Manova test is conducted to confirm differences among the obtained user segments. Mobile service customers cannot be seen as a homogenous group, since different customer profiles coexist in the mobile service industry. More specifically, four user clusters emerge from the research findings, namely “pragmatic uninvolved,” “satisfied savers,” “prone-to-switch” users, and “service mavens,” the “service mavens” being the most attractive segment for mobile service companies. A behavioral-based segmentation is developed to extend the understanding of customer behavior in the mobile services field.