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Customer Segmentation and Future Purchase Prediction using RFM measures
7 references·0 citing·39 second hop
Customer Segmentation and Future Purchase Prediction using RFM measures (2022)Customer Segmentation and Future Purchase…K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data (2022)K-Means Clustering Approach f…Integrated Churn Prediction and Customer Segmentation Framework for Telco Business (2021)Integrated Churn Prediction a…Customer Segmentation Techniques on E-Commerce (2021)Customer Segmentation Techniq…Machine Learning Based Customer Churn Prediction In Banking (2020)Machine Learning Based Custom…An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm (2020)An Empirical Study on Custome…Artificial Neural Networks in Customer Segmentation (2019)Artificial Neural Networks in…A Systematic Approach to Customer Segmentation and Buyer Targeting for Profit Maximization (2018)A Systematic Approach to Cust…A survey on customer relationship management (2017)Clustering and profiling of customers using RFM for customer relationship management recommendations (2017)Market segmentation for profit maximization using machine learning algorithms (2020)Customer Segmentation of Shopping Mall Users Using K-Means Clustering (2022)Maximizing Strategy in Customer Segmentation Using Different Clustering Techniques (2022)Customer portfolio management (CPM) for improved customer relationship management (CRM): Are your customers platinum, gold, silver, or bronze? (2016)Identifying the right solution customers: A managerial methodology (2016)A Case Study on Customer Segmentation by using Machine Learning Methods (2018)A literature review of the current applications of machine learning and their practical implications (2020)Case studies on using natural language processing techniques in customer relationship management software (2020)Customer Segmentation in the Field of Marketing (2022)Knowledge management and data mining for marketing (2001)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Classifying the segmentation of customer value via RFM model and RS theory (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)Integrating AHP and data mining for product recommendation based on customer lifetime value (2004)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)Customer churn prediction in telecom using machine learning in big data platform (2019)Machine Learning to Develop Credit Card Customer Churn Prediction (2022)Customer Churn Prediction in the Banking Sector Using Machine Learning-Based Classification Models (2023)Investigating customer churn in banking: a machine learning approach and visualization app for data science and management (2023)Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market (2001)Applying data mining to telecom churn management (2005)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy (2022)An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes (2023)Hyper-Personalization for Enhancing Customer Loyalty and Satisfaction in Customer Relationship Management (CRM) Systems (2023)Customer segmentation and strategy development based on customer lifetime value: A case study (2005)Customer segmentation of multiple category data in e-commerce using a soft-clustering approach (2010)Prediction of Consumer Behaviour using Random Forest Algorithm (2018)Customer Segmentation Based on E-Commerce using K-Mean Clustering (2023)Customer Segmentation in Online Retail Using K-Means Clustering Classification and Principal Component Biplot (2024)Impact of COVID-19 on the Customer End of Retail Supply Chains: A Big Data Analysis of Consumer Satisfaction (2021)The COVID-19 pandemic and organisational learning for disaster planning and management: A perspective of tourism businesses from a destination prone to consecutive disasters (2021)The Impact of the Covid-19 Pandemic on Retail Consumer Behavior (2021)A review on customer segmentation methods for personalized customer targeting in e-commerce use cases (2023)Personalized marketing: Leveraging AI for culturally aware segmentation and targeting (2025)
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References

  • 2022K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data321 cited
  • 2021Integrated Churn Prediction and Customer Segmentation Framework for Telco Business141 cited
  • 2020Machine Learning Based Customer Churn Prediction In Banking109 cited
  • 2020An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm95 cited
  • 2019Artificial Neural Networks in Customer Segmentation21 cited
  • 2021Customer Segmentation Techniques on E-Commerce20 cited
  • 2018A Systematic Approach to Customer Segmentation and Buyer Targeting for Profit Maximization16 cited

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