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Examination of the Criticality of Customer Segmentation Using Unsupervised Learning Methods
1 references·4 citing·17 second hop
Examination of the Criticality of Customer Segmentation Using Unsupervised Learning Methods (2024)Examination of the Criticality of Custome…Customer segmentation and strategy development based on customer lifetime value: A case study (2005)Customer segmentation and str…Leveraging advanced machine learning with feature selection approach for robust customer segmentation with purchase behavior prediction (2026)Leveraging advanced machine l…Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms (2025)Enhancing Customer Segmentati…Utilizing the Internet of Everything and Artificial Intelligence for Real-Time Workforce Management (2024)Utilizing the Internet of Eve…Circular Economy: A Catalyst for Economic Growth - An Empirical Study (2024)Circular Economy: A Catalyst …Customer lifetime valuation to support marketing decision making (1997)Marketing management: analysis. planning. implementation and control (2000)Customer lifetime value research in marketing: A review and future directions (2002)Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer (2007)Future research directions in tourism marketing (2010)Using big data from Customer Relationship Management information systems to determine the client profile in the hotel sector (2018)Circular Economy: Measuring Innovation in the Product Chain (2017)Linear Economy Versus Circular Economy: A Comparative and Analyzer Study for Optimization of Economy for Sustainability (2017)Circular economy business models: The state of research and avenues ahead (2020)Higher Education in the Last Four Decades (2023)Digital Currency Adoption: A Comparative Analysis of Global Trends and the Nigerian eNaira Digital Currency (2024)Impact of Organizational Culture on The Level of Corporate Social Responsibility Investments: An Exploratory Study (2024)RFM ranking – An effective approach to customer segmentation (2018)K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data (2022)A review on customer segmentation methods for personalized customer targeting in e-commerce use cases (2023)RFM model for customer purchase behavior using K-Means algorithm (2019)Customer profiling, segmentation, and sales prediction using AI in direct marketing (2023)
this work references cited by second hop

References

  • 2005Customer segmentation and strategy development based on customer lifetime value: A case study338 cited

Cited by

  • 2024Circular Economy: A Catalyst for Economic Growth - An Empirical Study86 cited
  • 2024Utilizing the Internet of Everything and Artificial Intelligence for Real-Time Workforce Management69 cited
  • 2026Leveraging advanced machine learning with feature selection approach for robust customer segmentation with purchase behavior prediction59 cited
  • 2025Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms14 cited

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