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Customer Segmentation Analysis Through RFM-D Model and K-Means Algorithm
13 references·0 citing·34 second hop
Customer Segmentation Analysis Through RFM-D Model and K-Means Algorithm (2025)Customer Segmentation Analysis Through RF…Penerapan Algoritma Fuzzy C-Means Pada Segmentasi Pelanggan B2B dengan Model LRFM (2023)Penerapan Algoritma Fuzzy C-M…New RFM-D classification model for improving customer analysis and response prediction (2023)New RFM-D classification mode…The Implementation of K-Means dan K-Medoids Algorithm for Customer Segmentation on E-commerce Data Transactions (2022)The Implementation of K-Means…Segmentasi Pelanggan Berdasarkan Analisis RFM Menggunakan Algoritma K-Means Sebagai Dasar Strategi Pemasaran (Studi Kasus PT Coversuper Indonesia Global) (2021)Segmentasi Pelanggan Berdasar…RFM Analysis Using K-Means Clustering to Improve Revenue and Customer Retention (2021)RFM Analysis Using K-Means Cl…K-Means Clustering Untuk Segmentasi Produk Berdasarkan Analisis Recency, Frequency, Monetary (RFM) Pada Data Transaksi Penjualan (2021)K-Means Clustering Untuk Segm…ANALISIS PEMILIHAN 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customized fashion business (2015)Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research (2016)Customer Segmentation Through RFM Analysis and K-Means Clustering: Leveraging Data-Driven Insights for Effective Marketing Strategy (2024)Strategic database marketing (1994)Telecom customer segmentation with K-means clustering (2012)Analisis Pemetaan Pelanggan Potensial Menggunakan Algoritma K-Means Dan LRFM Model Untuk Mendukung Strategi Pengelolaan Pelanggan (Studi Pada Maninjau Center Kota Malang) (2017)Classifying the segmentation of customer value via RFM model and RS theory (2008)Approaches to Clustering in Customer Segmentation (2018)Knowledge management and data mining for marketing (2001)Application of data mining techniques in customer relationship management: A literature review and classification (2008)User Value Identification Based on Improved RFM Model and K‐Means++ Algorithm for Complex Data Analysis (2021)Smart Next-Generation Revenue Growth: A Methodology for Partitioning Customers Utilizing the K-Means Algorithm and RFM Model (2024)Enhancing customer retention in Online Retail through churn prediction: A hybrid RFM, K-means, and deep neural network approach (2025)A review of the application of RFM model (2010)ANALISIS SEGMENTASI PELANGGAN MENGGUNAKAN KOMBINASI RFM MODEL DAN TEKNIK CLUSTERING (2018)Customer Segmentation in XYZ Bank Using K-Means and K-Medoids Clustering (2018)Analisis Segmentasi Recency dan Customer Value Pada AVANA Indonesia Dengan Algoritma K-Means dan Model RFM (Recency, Frequency and Monetary) (2023)Comparison of K-Medoids and K-Means Algorithms in Segmenting Customers based on RFM Criteria (2024)Customer lifetime value: Marketing models and applications (1998)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)Segmentation approaches in data-mining: A comparison of RFM, CHAID, and logistic regression (2007)Customer Segmentation Using Machine Learning Model: An Application of RFM Analysis (2023)Retail Industry Analytics: Unraveling Consumer Behavior through RFM Segmentation and Machine Learning (2024)Mitigating class imbalance in churn prediction with ensemble methods and SMOTE (2025)Relationships among cognition, emotion, and motivation: implications for intervention and neuroplasticity in psychopathology (2013)Eight grand challenges in socio-environmental systems modeling (2019)Designing a Community of Inquiry in Online Courses (2020)K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data (2022)Customer Segmentation of E-commerce data using K-means Clustering Algorithm (2023)Enhancing Customer Segmentation Insights by using RFM + Discount Proportion Model with Clustering Algorithms (2024)Penerapan Algoritma K-Medoids Untuk Menentukan Segmentasi Pelanggan (2021)An Extended RFM Model for Customer Behaviour and Demographic Analysis in Retail Industry (2023)Predicting Customer Segment Changes to Enhance Customer Retention: A Case Study for Online Retail using Machine Learning (2023)
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References

  • 2012Learning from television in young children3,959 cited
  • 2020An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm95 cited
  • 2020Customer Segmentation Based on RFM Model Using K-Means, K-Medoids, and DBSCAN Methods52 cited
  • 2023New RFM-D classification model for improving customer analysis and response prediction42 cited
  • 2021ANALISIS PEMILIHAN CLUSTER OPTIMAL DALAM SEGMENTASI PELANGGAN TOKO RETAIL21 cited
  • 2021RFM Analysis Using K-Means Clustering to Improve Revenue and Customer Retention21 cited
  • 2021Segmentasi Pelanggan Berdasarkan Analisis RFM Menggunakan Algoritma K-Means Sebagai Dasar Strategi Pemasaran (Studi Kasus PT Coversuper Indonesia Global)18 cited
  • 2020Segmenting Bank Customers via RFM Model and Unsupervised Machine Learning13 cited
  • 2019SEGMENTASI PELANGGAN BISNIS DENGAN MULTI KRITERIA MENGGUNAKAN K-MEANS12 cited
  • 2020Segmentasi Pelanggan Ritel Produk Farmasi Obat Menggunakan Metode Data Mining Klasterisasi Dengan Analisis Recency Frequency Monetary (RFM) Termodifikasi11 cited
  • 2022The Implementation of K-Means dan K-Medoids Algorithm for Customer Segmentation on E-commerce Data Transactions9 cited
  • 2023Penerapan Algoritma Fuzzy C-Means Pada Segmentasi Pelanggan B2B dengan Model LRFM8 cited
  • 2021K-Means Clustering Untuk Segmentasi Produk Berdasarkan Analisis Recency, Frequency, Monetary (RFM) Pada Data Transaksi Penjualan

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