{"title":"A Suggested Model for Customer Relationship Management with Customer Experience-Oriented Data Optimization in the Mobile Phone Industry","authors":"Kazım Karaboga","doi":"10.12982/cmujasr.2023.001","DOIUrl":null,"url":null,"abstract":"This study develops a marketing information system algorithm for determining whether and to what degree customers of mobile phone businesses prefer their own brands after experiencing problems with their current product, or in customer service or repair services during or at the end of an average use period for their product. With a process map and system algorithm, a data analytics model required for creating a satisfied and loyal customer group is described based on analysis results obtained by tracking/analyzing customer experiences in different processes. The article‘s findings can help to optimize product, sales, and service development activities focused on business profitability by highlighting data-driven customer experience tracking systems for business. Keywords Customer experience, CRM, Current customer, System algorithm, Conceptual modeling.","PeriodicalId":40330,"journal":{"name":"ASR Chiang Mai University Journal of Social Sciences and Humanities","volume":" ","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASR Chiang Mai University Journal of Social Sciences and Humanities","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12982/cmujasr.2023.001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This study develops a marketing information system algorithm for determining whether and to what degree customers of mobile phone businesses prefer their own brands after experiencing problems with their current product, or in customer service or repair services during or at the end of an average use period for their product. With a process map and system algorithm, a data analytics model required for creating a satisfied and loyal customer group is described based on analysis results obtained by tracking/analyzing customer experiences in different processes. The article‘s findings can help to optimize product, sales, and service development activities focused on business profitability by highlighting data-driven customer experience tracking systems for business. Keywords Customer experience, CRM, Current customer, System algorithm, Conceptual modeling.