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Customer Clustering Based on RFM Features Using K-Means Algorithm
9 references·0 citing·44 second hop
Customer Clustering Based on RFM Features Using K-Means Algorithm (2022)Customer Clustering Based on RFM Features…RFM-based repurchase behavior for customer classification and segmentation (2021)RFM-based repurchase behavior…Customer relationship management and its impact on innovation: A literature review (2021)Customer relationship managem…Two-period discount pricing strategies for an e-commerce platform with strategic consumers (2020)Two-period discount pricing s…Intuitive pricing by independent store managers: Challenging beliefs and practices (2020)Intuitive pricing by independ…An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm (2020)An Empirical Study on Custome…RFM model for customer purchase behavior using K-Means algorithm (2019)RFM model for customer purcha…Customer Segmentation Using Two-Step Mining Method Based on RFM Model (2018)Customer Segmentation Using T…Customer Relationship Management Research from 2007 to 2016: An Academic Literature Review (2018)Customer Relationship Managem…Customer clustering using RFM analysis (2018)Customer clustering using RFM…The evolution of relationship marketing (1995)Modern Methods for Business Research (1998)Research Methodology: Methods and Techniques (2004)Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis (2022)Past, present and future of research in relationship marketing - a machine learning perspective (2022)Classifying the segmentation of customer value via RFM model and RS theory (2008)Comparison of customer response models (2009)Improving Shopping Mall Revenue by Real-Time Customized Digital Coupon Issuance (2023)Structural equation model for effective CRM of digital content industry (2006)Customer segmentation in a large database of an online customized fashion business (2015)Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis (2016)Evolutionary multi-objective customer segmentation approach based on descriptive and predictive behaviour of customers: application to the banking sector (2022)Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining (2012)Consumer Behaviour and Order Fulfilment in Online Retailing: A Systematic Review (2016)A multidisciplinary perspective of big data in management research (2017)Customer segmentation by web content mining (2021)RFM model customer segmentation based on hierarchical approach using FCA (2023)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Using thematic analysis in psychology (2006)Pricing in online fashion retailing: implications for research and practice (2021)An analysis of the effects of customer satisfaction and engagement on social media on repurchase intention in the hospitality industry (2022)The role of technological innovations in institutional regulation of the financial capital market (2023)Durability and Monopoly (1972)Intertemporal Pricing with Strategic Customer Behavior (2007)Omnichannel Retail Operations with Buy-Online-and-Pick-up-in-Store (2016)Impact of different platform promotions on online sales and conversion rate: The role of business model and product line length (2022)The impact of recommender systems and pricing strategies on brand competition and consumer search (2022)How Do Fairness Concern and Power Structure Affect Competition Between E-Platforms and Third-Party Sellers? (2023)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)Metodología de la investigación (1993)A Strategic Framework for Customer Relationship Management (2005)Literature review as a research methodology: An overview and guidelines (2019)Customer relationship management (CRM) and Innovation: A qualitative comparative analysis (QCA) in the search for improvements on the firm performance in winery sector (2021)Service Quality (SERVQUAL) Dimensions on Customer Satisfaction: Empirical Evidence from Bank Study (2021)Media or information literacy as variables for citizen participation in public decision-making? A bibliometric overview (2022)Studying Customer Behavior in Retail Stores (1951)Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study (2011)Predicting online customer purchase: The integration of customer characteristics and browsing patterns (2023)Consumer segmentation with large language models (2024)
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References

  • 2019RFM model for customer purchase behavior using K-Means algorithm210 cited
  • 2021Customer relationship management and its impact on innovation: A literature review116 cited
  • 2021RFM-based repurchase behavior for customer classification and segmentation96 cited
  • 2020An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm95 cited
  • 2020Two-period discount pricing strategies for an e-commerce platform with strategic consumers85 cited
  • 2018Customer Relationship Management Research from 2007 to 2016: An Academic Literature Review38 cited
  • 2020Intuitive pricing by independent store managers: Challenging beliefs and practices27 cited
  • 2018Customer clustering using RFM analysis16 cited
  • 2018Customer Segmentation Using Two-Step Mining Method Based on RFM Model14 cited

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