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AI-Driven Predictive Customer Analytics for Forecasting Behavior, Churn and Future Buying Patterns
14 references·0 citing·53 second hop
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References

  • 2009Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement37,718 cited
  • 2015The journal coverage of Web of Science and Scopus: a comparative analysis5,251 cited
  • 2015The bibliometric analysis of scholarly production: How great is the impact?3,130 cited
  • 1987Toward a definition of “bibliometrics”1,662 cited
  • 2016On the shoulders of giants: undertaking a structured literature review in accounting1,033 cited
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  • 2023Neuromarketing Tools Used in the Marketing Mix: A Systematic Literature and Future Research Agenda133 cited
  • 2022Social Networks Marketing and Consumer Purchase Behavior: The Combination of SEM and Unsupervised Machine Learning Approaches104 cited
  • 2024LEVERAGING BIG DATA FOR PERSONALIZED MARKETING CAMPAIGNS: A REVIEW57 cited
  • 2022Enhancing Sustainable Cosmetics Brand Purchase: A Comprehensive Approach Based on the SOR Model and the Triple Bottom Line51 cited
  • 2024Supply chain competitiveness through agility and digital technology: A bibliometric analysis35 cited
  • 2022Operationalizing Artificial Intelligence-Enabled Customer Analytics Capability in Retailing27 cited
  • 2025Navigating the future of AI in marketing: AI integration across borders, ethical considerations, and policy implications27 cited

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2025
Transparency in Decision-Making: The Role of Explainable AI (XAI) in Customer Churn Analysis
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