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Estimating customer future value of different customer segments based on adapted RFM model in retail banking context
6 references·16 citing·52 second hop
Estimating customer future value of different customer segments based on adapted RFM model in retail banking context (2011)Estimating customer future value of diffe…Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty (2009)Cluster analysis using data m…Knowledge discovery on RFM model using Bernoulli sequence (2008)Knowledge discovery on RFM mo…A Model to Determine Customer Lifetime Value in a Retail Banking Context (2007)A Model to Determine Customer…Modeling Customer Lifetime Value (2006)Modeling Customer Lifetime Va…Customer lifetime value research in marketing: A review and future directions (2002)Customer lifetime value resea…Marketing during Periods of Shortage (1974)Marketing during Periods of S…New RFM-D classification model for improving customer analysis and response prediction (2023)New RFM-D classification mode…How can algorithms help in segmenting users and customers? 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this work references cited by second hop

References

  • 2006Modeling Customer Lifetime Value732 cited
  • 2002Customer lifetime value research in marketing: A review and future directions583 cited
  • 2008Knowledge discovery on RFM model using Bernoulli sequence331 cited
  • 2009Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty227 cited
  • 1974Marketing during Periods of Shortage170 cited
  • 2007A Model to Determine Customer Lifetime Value in a Retail Banking Context126 cited

Cited by

  • 2021Financial Inclusion Paradigm Shift in the Postpandemic Period. Digital-Divide and Gender Gap86 cited
  • 2019Impact of customers' digital banking adoption on hidden defection: A combined analytical–empirical approach67 cited
  • 2020A hybrid big data analytical approach for analyzing customer patterns through an integrated supply chain network61 cited
  • 2017A Study on the Effects of Sales Promotion on Consumer Involvement and Purchase Intention in Tourism Industry59 cited
  • 2018Customers Segmentation in the Insurance Company (TIC) Dataset58 cited
  • 2023How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation54 cited
  • 2017Predicting direct marketing response in banking: comparison of class imbalance methods49 cited
  • 2023

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

New RFM-D classification model for improving customer analysis and response prediction
42 cited
  • 2016Using data mining and neural networks techniques to propose a new hybrid customer behaviour analysis and credit scoring model in banking services based on a developed RFM analysis method35 cited
  • 2018Establishing high value markets for data-driven customer relationship management systems34 cited
  • 2016Customer Clustering Using a Combination of Fuzzy C-Means and Genetic Algorithms33 cited
  • 2016How customers’ offline experience affects the adoption of online banking29 cited
  • 2019A new methodology for customer behavior analysis using time series clustering29 cited
  • 2018Segmenting Retail Customers with an Enhanced RFM and a Hybrid Regression/Clustering Method26 cited
  • 2020Bank CRM Optimization Using Predictive Classification Based on the Support Vector Machine Method26 cited
  • 2014A New Application of RFM Clustering for Guild Segmentation to Mine the Pattern of Using Banks’ e-Payment Services24 cited