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Personalized marketing: Leveraging AI for culturally aware segmentation and targeting
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Personalized marketing: Leveraging AI for culturally aware segmentation and targeting (2025)Personalized marketing: Leveraging AI for…A Mathematical Model for Customer Segmentation Leveraging Deep Learning, Explainable AI, and RFM Analysis in Targeted Marketing (2023)A Mathematical Model for Cust…K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data (2022)K-Means Clustering Approach f…A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation (2022)A Data-Driven Approach to Imp…Maximizing Strategy Improvement in Mall Customer Segmentation using K-means Clustering (2021)Maximizing Strategy Improveme…Customer Segmentation using RFM Model and K-Means Clustering (2021)Customer Segmentation using R…A review of data mining methods in RFM-based customer segmentation (2021)A review of data mining metho…RFM ranking – An effective approach to customer segmentation (2018)RFM ranking – An effective ap…Another trip to the mall: a segmentation study of customers based on their activities (2004)Sources of customer satisfaction with shopping malls: A comparative study of different customer segments (2006)Reexamining the Market Share–Customer Satisfaction Relationship (2013)Machine Learning Mini Batch K-means and Business Intelligence Utilization for Credit Card Customer Segmentation (2021)Customer Churn Prediction in the Banking Sector Using Machine Learning-Based Classification Models (2023)Customer Segment Classification Prediction in the Australian Retail Based on Machine Learning Algorithms (2023)A review of the application of RFM model (2010)Data Mining Techniques in CRM: Inside Customer Segmentation (2010)Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis (2016)Multiple criteria decision support system for customer segmentation using a sorting outranking method (2023)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)Approaches to Clustering in Customer Segmentation (2018)Customer Segmentation using K-means Clustering (2018)Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation Using Recency, Frequency, Monetary, and Time (2023)Customer Segmentation Using Machine Learning Model: An Application of RFM Analysis (2023)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)The analysis of antecedents of customer loyalty in the Turkish mobile telecommunication market (2005)Latent Variable Models and Factor Analysis (2011)Intelligent Decision Forest Models for Customer Churn Prediction (2022)Hyper-Personalization for Enhancing Customer Loyalty and Satisfaction in Customer Relationship Management (CRM) Systems (2023)Multichannel customer management: Understanding the research-shopper phenomenon (2007)Customer segmentation in e-commerce: Applications to the cashback business model (2017)How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review (2024)Customer segmentation in the digital marketing using a Q-learning based differential evolution algorithm integrated with K-means clustering (2025)Research on the Cross-Cultural Product Communication Mechanism of Cross-Border E-Commerce Platforms from the Perspective of Marxist Political Economy (2025)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)Tailoring customer segmentation strategies for luxury brands in the NFT market – The case of SUPERGUCCI (2024)
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References

  • 2018RFM ranking – An effective approach to customer segmentation214 cited
  • 2022K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data211 cited
  • 2022A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation65 cited
  • 2021Maximizing Strategy Improvement in Mall Customer Segmentation using K-means Clustering57 cited
  • 2021A review of data mining methods in RFM-based customer segmentation57 cited
  • 2021Customer Segmentation using RFM Model and K-Means Clustering49 cited
  • 2023A Mathematical Model for Customer Segmentation Leveraging Deep Learning, Explainable AI, and RFM Analysis in Targeted Marketing49 cited

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