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Group RFM analysis as a novel framework to discover better customer consumption behavior
7 references·16 citing·39 second hop
Group RFM analysis as a novel framework to discover better customer consumption behavior (2011)Group RFM analysis as a novel framework t…Knowledge discovery on RFM model using Bernoulli sequence (2008)Knowledge discovery on RFM mo…Classifying the segmentation of customer value via RFM model and RS theory (2008)Classifying the segmentation …Research on customer segmentation model by clustering (2005)Research on customer segmenta…A purchase-based market segmentation methodology (2004)A purchase-based market segme…Thoughts on RFM scoring (2000)Thoughts on RFM scoringStrategic database marketing (1994)Strategic database marketingLearning and Teaching Styles in Engineering Education. (1988)Learning and Teaching Styles …Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering (2025)Customer segmentation in the …Enhancing Retail Transactions: A Data-Driven Recommendation Using Modified RFM Analysis and Association Rules Mining (2023)Enhancing Retail Transactions…A multi layer recency frequency monetary method for customer priority segmentation in online transaction (2023)A multi layer recency frequen…Customer segmentation by web content mining (2021)Customer segmentation by web …Customer behaviour analysis based on buying-data sparsity for multi-category products in pork industry: A hybrid approach (2021)Customer behaviour analysis b…An RFM Model Customizable to Product Catalogues and Marketing Criteria Using Fuzzy Linguistic Models: Case Study of a Retail Business (2021)An RFM Model Customizable to …A Combined Approach for Customer Profiling in Video on Demand Services Using Clustering and Association Rule Mining (2020)A Combined Approach for Custo…Customer Segmentation and Strategy Development Based on User Behavior Analysis, RFM Model and Data Mining Techniques: A Case Study (2018)Customer Segmentation and Str…Clustering Prediction Techniques in Defining and Predicting Customers Defection: The Case of E-Commerce Context (2018)Clustering Prediction Techniq…How many, how often, and how new? A multivariate profiling of mobile app users (2017)How many, how often, and how …Evaluating discounts as a dimension of customer behavior analysis (2017)Evaluating discounts as a dim…A Study on the Effects of Sales Promotion on Consumer Involvement and Purchase Intention in Tourism Industry (2017)A Study on the Effects of Sal…New approach to customer segmentation based on changes in customer value (2015)New approach to customer segm…Exploring the relationship between intentional and behavioral loyalty in the context of e-tailing (2014)Exploring the relationship be…A New Application of RFM Clustering for Guild Segmentation to Mine the Pattern of Using Banks’ e-Payment Services (2014)A New Application of RFM Clus…To establish online shoppers’ markets and rules for dynamic CRM systems (2012)To establish online shoppers’…E-Business 2.0: Roadmap for Success (2000)Marketing management: analysis. planning. implementation and control (2000)Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty (2009)Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study (2011)Service innovation and customer satisfaction: the role of customer value creation (2017)Market Segmentation: A Review (1987)Market Segmentation: Conceptual and Methodological Foundations (1997)Building Data Mining Applications for CRM (1999)Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer (2007)LRFMP model for customer segmentation in the grocery retail industry: a case study (2017)Market segmentation and travel choice prediction in Spa hotels through TripAdvisor’s online reviews (2019)Counting Your Customers: Who-Are They and What Will They Do Next? (1987)Optimal Selection for Direct Mail (1995)An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry (2003)A review of the application of RFM model (2010)Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Analytics at Work: Smarter Decisions, Better Results (2009)The practical approach in Customers segmentation by using the K-Means Algorithm (2020)An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation (2021)How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation (2023)On the Evaluation of Structural Equation Models (1988)Challenges and business models for mobile location-based services and advertising (2011)The Impact of Stereoscopic Three-Dimensional (3-D) Advertising (2012)Price or Convenience: What Is More Important for Online and Offline Bookings? A Study of a Five-Star Resort Hotel in Taiwan (2020)The Effect of Brand Awareness, Social Media Marketing, Perceived Quality, Hedonic Motivation, and Sales Promotion Towards Consumers Intention to Purchase in Fashion Industry (2021)Analisis Faktor-Faktor Yang Mempengaruhi Keputusan Pembelian (2022)The influence of loyalty programme membership on customer purchase behaviour (2008)A PCA-AdaBoost model for E-commerce customer churn prediction (2022)Integrated customer lifetime value (CLV) and customer migration model to improve customer segmentation (2022)Privacy Concerns and Consumer Willingness to Provide Personal Information (2000)Integrating AHP and data mining for product recommendation based on customer lifetime value (2004)CRM strategies for a small-sized online shopping mall based on association rules and sequential patterns (2012)The antecedents and consequences of golf tournament spectators’ memorable brand experiences (2017)Understanding first-class passengers' luxury value perceptions in the US airline industry (2018)Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis (2016)A Survey on Churn Analysis in Various Business Domains (2020)Learning and Teaching Styles In Foreign and Second Language Education (1995)Understanding Student Differences (2005)The Flipped Classroom: A Survey of the Research (2020)
this work references cited by second hop

References

  • 1988Learning and Teaching Styles in Engineering Education.3,483 cited
  • 2008Classifying the segmentation of customer value via RFM model and RS theory426 cited
  • 1994Strategic database marketing364 cited
  • 2008Knowledge discovery on RFM model using Bernoulli sequence331 cited
  • 2004A purchase-based market segmentation methodology189 cited
  • 2000Thoughts on RFM scoring151 cited
  • 2005Research on customer segmentation model by clustering98 cited

Cited by

  • 2021Customer segmentation by web content mining64 cited
  • 2015New approach to customer segmentation based on changes in customer value63 cited
  • 2017A Study on the Effects of Sales Promotion on Consumer Involvement and Purchase Intention in Tourism Industry59 cited
  • 2018Customer Segmentation and Strategy Development Based on User Behavior Analysis, RFM Model and Data Mining Techniques: A Case Study59 cited
  • 2014Exploring the relationship between intentional and behavioral loyalty in the context of e-tailing50 cited
  • 2017How many, how often, and how new? A multivariate profiling of mobile app users34 cited
  • 2020A Combined Approach for Customer Profiling in Video on Demand Services Using Clustering and Association Rule Mining33 cited

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2023
Enhancing Retail Transactions: A Data-Driven Recommendation Using Modified RFM Analysis and Association Rules Mining
31 cited
  • 2025Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering27 cited
  • 2021An RFM Model Customizable to Product Catalogues and Marketing Criteria Using Fuzzy Linguistic Models: Case Study of a Retail Business26 cited
  • 2014A New Application of RFM Clustering for Guild Segmentation to Mine the Pattern of Using Banks’ e-Payment Services24 cited
  • 2018Clustering Prediction Techniques in Defining and Predicting Customers Defection: The Case of E-Commerce Context20 cited
  • 2023A multi layer recency frequency monetary method for customer priority segmentation in online transaction19 cited
  • 2012To establish online shoppers’ markets and rules for dynamic CRM systems18 cited
  • 2017Evaluating discounts as a dimension of customer behavior analysis16 cited
  • 2021Customer behaviour analysis based on buying-data sparsity for multi-category products in pork industry: A hybrid approach13 cited