{"title":"Consumer Segmentation of Emina Cosmetics Optimal and Relevant Approach of RFM+Lifetime Analysis","authors":"None Nabil Rakha Dwitya, Wirawan Istiono","doi":"10.58905/saga.v1i3.171","DOIUrl":null,"url":null,"abstract":"Buyers are the most crucial entities for companies selling products, including PT Paragon Technology and Innovation. PT Paragon Technology and Innovation is a cosmetics company that oversees well-known brands such as Wardah, Emina, MakeOver, and Kahf. It is essential for this company to understand the characteristics of its buyers who purchase their products, and one way to achieve this is by conducting consumer segmentation. This consumer segmentation is carried out on customers who have purchased Emina products from March 2021 to March 2023, using three types of RFM analysis approaches: vanilla RFM analysis, RFM+Lifetime, and RFM/Lifetime, which are then grouped using the K-Means algorithm. Through the implementation of this consumer segmentation, the company can gain a deeper understanding of its buyers' behavior towards the products they offer, thereby enhancing business processes and marketing efforts. The consumer segmentation has been completed with the finding that out of the three types of RFM analysis approaches employed for consumer segmentation, the RFM+Lifetime approach is the most effective and relevant one, resulting in four categories: Make Up, Face Care, Others, and General. The Make Up category further consists of five segments, while each of the other categories contains four segments.","PeriodicalId":499021,"journal":{"name":"SAGA Journal of Technology and Information System","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAGA Journal of Technology and Information System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58905/saga.v1i3.171","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
Buyers are the most crucial entities for companies selling products, including PT Paragon Technology and Innovation. PT Paragon Technology and Innovation is a cosmetics company that oversees well-known brands such as Wardah, Emina, MakeOver, and Kahf. It is essential for this company to understand the characteristics of its buyers who purchase their products, and one way to achieve this is by conducting consumer segmentation. This consumer segmentation is carried out on customers who have purchased Emina products from March 2021 to March 2023, using three types of RFM analysis approaches: vanilla RFM analysis, RFM+Lifetime, and RFM/Lifetime, which are then grouped using the K-Means algorithm. Through the implementation of this consumer segmentation, the company can gain a deeper understanding of its buyers' behavior towards the products they offer, thereby enhancing business processes and marketing efforts. The consumer segmentation has been completed with the finding that out of the three types of RFM analysis approaches employed for consumer segmentation, the RFM+Lifetime approach is the most effective and relevant one, resulting in four categories: Make Up, Face Care, Others, and General. The Make Up category further consists of five segments, while each of the other categories contains four segments.
买家是包括PT Paragon Technology and Innovation在内的公司销售产品最重要的实体。PT Paragon Technology and Innovation是一家化妆品公司,旗下有Wardah、Emina、MakeOver、Kahf等知名品牌。对于这家公司来说,了解购买其产品的买家的特征是至关重要的,实现这一目标的一种方法是进行消费者细分。这种消费者细分是对从2021年3月到2023年3月购买Emina产品的客户进行的,使用三种类型的RFM分析方法:vanilla RFM分析,RFM+Lifetime和RFM/Lifetime,然后使用K-Means算法进行分组。通过实施这种消费者细分,公司可以更深入地了解其买家对其提供的产品的行为,从而改进业务流程和营销工作。消费者细分已经完成,发现在用于消费者细分的三种类型的RFM分析方法中,RFM+终身方法是最有效和相关的一种,导致四类:化妆,面部护理,其他和一般。化妆类别进一步由五个部分组成,而每个其他类别包含四个部分。