专题：Customer churn and segmentation

This cluster of papers focuses on customer equity management and prediction, utilizing data mining, machine learning, and segmentation techniques to understand customer churn, lifetime value, and profitability. It explores the impact of marketing strategies on customer retention and financial performance in various industries, particularly in telecommunications.
最新文献
Customer SCustomer Segmentation Using an Enhanced RFM–K-Means Framework on The Online Retail Datasetegmentation Using Enhanced K – Means Clustering

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Redefining Consumer Satisfaction in Today’s Time

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A Comparative Study of Machine Learning Algorithms for Credit Card Fraud Detection

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DLDSS: Dual-Layered Decision Support System for Retail Recommendation

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Domain Focused Sequence Model Architecture for Predicting Long Term User Interests

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The Effectiveness of Loyalty Programs in Shaping Long-Term Customer Retention

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Sample size practices and guidelines in services marketing survey research

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An alternative approach to understanding airline customers’ attitudes and behaviors

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Composite Machine Learning System for Real-Time Response to Negative Online Reviews: A Case Study Based on the Negative Reinforcement Model of Digital Marketing

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Optimal pricing strategy for advance selling through group buying

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近5年高被引文献
E-Commerce Promotional Products Selection Using SWARA and TOPSIS

article Full Text OpenAlex 1547 FWCI710.4861

Progress in partial least squares structural equation modeling use in marketing research in the last decade

article Full Text OpenAlex 922 FWCI186.1762

Examination of the Criticality of Customer Segmentation Using Unsupervised Learning Methods

article Full Text OpenAlex 175 FWCI79.5041

K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data

article Full Text OpenAlex 174 FWCI24.0866

B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM

article Full Text OpenAlex 136 FWCI19.408

A review on customer segmentation methods for personalized customer targeting in e-commerce use cases

review Full Text OpenAlex 121 FWCI27.5801

Assessing credit risk of commercial customers using hybrid machine learning algorithms

article Full Text OpenAlex 116 FWCI31.8366

Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach

article Full Text OpenAlex 110 FWCI15.2361

Customer Churn Prediction in Telecommunication Industry Using Deep Learning

article Full Text OpenAlex 103 FWCI14.6284

Customer profiling, segmentation, and sales prediction using AI in direct marketing

article Full Text OpenAlex 100 FWCI23.0687