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Jerry Heikal
Central Queensland University

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Customer Segmentation Based On Age, Gender, Income, And Spending Score At Mall Abc Using The K-Means Clustering Model With SPSS Program Marc Giulio Richard; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 1: Desember 2024
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i1.6051

Abstract

Due to covid 19 pandemic, retail market has been rapidly changing and malls have been impacted quite significantly ever since. Therefore, it is important for malls’ management to understand the characteristics of their customers better in order to develop effective marketing strategies. Customer segmentation (STP) is a good and simple method that can be used to understand customer characteristics. The objective of this research is to create a customer segmentation model (STP) using the K-Means Clustering algorithm on Mall ABC customer profile data. This research utilizes Mall ABC’s two hundred customer profile data which includes variables such as age, gender, income, and spending score. Data is analysed using the K-Means Clustering algorithm to divide customers into six groups. The persona of these six groups are average housewife, older housewife, successful working female, young male entrepreneur, average working class, and female supervisor. The most strategic target segment is female supervisor. This segment can be attracted by inviting more tenants that are suitable for their needs and wants such as mid-end cafes, restaurants, female clothing stores, and children apparel stores. Creating cross-merchant promotions and point redemption programs can also create better experience and increase customer loyalty. The results of this segmentation can be a reference for Mall ABC to develop a more targeted and effective marketing strategy. Malls can focus on offering products and services that suit the needs and characteristics of each customer segment.
RFM Segmentation Analysis as the Base of The Company Marketing Strategy: Case Study of Medical Device Company PT. Abc Marc Giulio Richard; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 1: Desember 2024
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i1.6833

Abstract

Medical Device Companies Play Significant Roles As Partners For Healthcare Institutions Such As Hospitals, Clinics, And Laboratories. They Are Crucial In Helping And Supporting Healthcare Institutions Improving The Quality Of Life Of The Human Population In Modern Times. In The Field Of Marketing, Medical Device Companies Face Increasing Challenge In Sales Performance And Profits Pressure, As Well As Maintaining Customer Loyalty. Medical Device Customers Usually Decide Purchases Influenced Not Only By The Selling Price, But Also By The Quality Of The Product, The Compatibility With Other Brands, The Ease Of Use, The After Sales Service, And Many Other Factors. Based On These Conditions, Medical Device Purchasing Patterns In Indonesia Become Unpredictable, And It Is Difficult To Increase Sales And Profits. One Effort That Medical Device Business Players Can Make Is To Carry Out Sales Promotions Based On Customer Segmentation. Customer Segmentation In Medical Device Companies Can Be Done Using Customer Segmentation Methods, Such As Recency Frequency Monetary (Rfm) Analysis. This Method Allows Companies To Group Customers Based On Purchasing Patterns Of The Medical Device Products, Thereby Allowing Companies To Prioritize Time, Energy, And Resources Into Each Different Segment Correctly And Strategically. The Segmentation Results Found Eight Customer Segments Of Pt Abc: Vip, Loyal, New Potential, Potential Vip, At Risk Customer, Lost Gold, Dormant Customer, Non-Core. Proposed Strategies Include Personalized Promotions For Different Customer Segments, Such As Promoting Vip & Loyal Customers In Pt Abs’s Social Media, Offer Bundled Pricing To New Potential And Potential Vip Customers, And Launch a New Economical Product For Dormant Customers, Lost Gold, And At-Risk Customers. These Strategies Aim To Enhance Customer Engagement, Loyalty, And Satisfaction Through Segmented Marketing And Personalized Promotions.