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Behavior Segmentation based Micro-Segmentation Approach for Health Insurance Industry
11 references·1 citing·38 second hop
Behavior Segmentation based Micro-Segmentation Approach for Health Insurance Industry (2020)Behavior Segmentation based Micro-Segment…NEW MARKET SEGMENTATION METHODS USING ENHANCED (RFM), CLV, MODIFIED REGRESSION AND CLUSTERING METHODS (2019)NEW MARKET SEGMENTATION METHO…Using Data Analytics for Customers Segmentation: Experimental Study at a Financial Institution (2018)Using Data Analytics for Cust…RFM ranking – An effective approach to customer segmentation (2018)RFM ranking – An effective ap…Customers Segmentation in the Insurance Company (TIC) Dataset (2018)Customers Segmentation in the…Customer Segmentation in XYZ Bank Using K-Means and K-Medoids Clustering (2018)Customer Segmentation in XYZ …Customer Segmentation and Strategy Development Based on User Behavior Analysis, RFM Model and Data Mining Techniques: A Case Study (2018)Customer Segmentation and Str…A customer segmentation approach in commercial banks (2018)A customer segmentation appro…Review on Customer Segmentation Technique on Ecommerce (2016)Review on Customer Segmentati…New approach to customer segmentation based on changes in customer value (2015)New approach to customer segm…Machine learning methods for the market segmentation of the performing arts audiences (2009)Machine learning methods for …Cluster Analysis for Segmentation (2008)Cluster Analysis for Segmenta…Achieving Market Segmentation From B2B Insurance Client Data Using RFM & K-Means Algorithm (2022)Achieving Market Segmentation…Benefit Segmentation: A Decision-Oriented Research Tool (1968)Marketing Management: Analysis, Planning and Control (1973)Standing Room Only: Strategies for Marketing the Performing Arts (1997)Building Data Mining Applications for CRM (1999)Classifying the segmentation of customer value via RFM model and RS theory (2008)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)A Note on Correlation Clusters and Cluster Search Methods (1944)Loyalty programs and their impact on repeat-purchase loyalty patterns (1997)City consumption profile: a city perspective on the spending behavior of citizens (2021)Identifying SME customers from click feedback on mobile banking apps: Supervised and semi-supervised approaches (2021)How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review (2024)Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty (2009)Data Mining Techniques in CRM: Inside Customer Segmentation (2010)Marketing strategies evaluation based on big data analysis: a CLUSTERING-MCDM approach (2019)A review of data mining methods in RFM-based customer segmentation (2021)A Two Phase Clustering Method for Intelligent Customer Segmentation (2010)Estimating customer future value of different customer segments based on adapted RFM model in retail banking context (2011)Determination of Customer Satisfaction using Improved K-means algorithm (2020)New RFM-D classification model for improving customer analysis and response prediction (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)Customer Mobile Behavioral Segmentation and Analysis in Telecom Using Machine Learning (2022)Fast RFM Model for Customer Segmentation (2022)An Extended RFM Model for Customer Behaviour and Demographic Analysis in Retail Industry (2023)Understanding the small business sector (1995)Integrated Marketing Communications (2004)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Customer Behavior Analysis by Intuitionistic Fuzzy Segmentation: Comparison of Two Major Cities in Turkey (2021)Impact of Financial and Nonfinancial Constructs on Customer Lifetime Value (CLV): U.S. Retailer’s Perspective (2023)LRFS: Online Shoppers’ Behavior-Based Efficient Customer Segmentation Model (2024)Customer Segmentation Techniques on E-Commerce (2021)Digital transformation technologies to analyze product returns in the e-commerce industry (2023)RFM model for customer purchase behavior using K-Means algorithm (2019)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)A review on customer segmentation methods for personalized customer targeting in e-commerce use cases (2023)
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References

  • 2018RFM ranking – An effective approach to customer segmentation214 cited
  • 2018Customer Segmentation in XYZ Bank Using K-Means and K-Medoids Clustering73 cited
  • 2016Review on Customer Segmentation Technique on Ecommerce68 cited
  • 2015New approach to customer segmentation based on changes in customer value63 cited
  • 2018Customer Segmentation and Strategy Development Based on User Behavior Analysis, RFM Model and Data Mining Techniques: A Case Study59 cited
  • 2018Customers Segmentation in the Insurance Company (TIC) Dataset58 cited
  • 2018A customer segmentation approach in commercial banks31 cited
  • 2009Machine learning methods for the market segmentation of the performing arts audiences14 cited
  • 2019NEW MARKET SEGMENTATION METHODS USING ENHANCED (RFM), CLV, MODIFIED REGRESSION AND CLUSTERING METHODS11 cited
  • 2008Cluster Analysis for Segmentation10 cited
  • 2018Using Data Analytics for Customers Segmentation: Experimental Study at a Financial Institution9 cited

Cited by

  • 2022Achieving Market Segmentation From B2B Insurance Client Data Using RFM & K-Means Algorithm8 cited

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