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Customer Relationship Management and Small Data — Application of Bayesian Network Elicitation Techniques for Building a Lead Scoring Model
5 references·2 citing·30 second hop
Customer Relationship Management and Small Data — Application of Bayesian Network Elicitation Techniques for Building a Lead Scoring Model (2017)Customer Relationship Management and Smal…Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research (2016)Customer relationship managem…Effective CRM Using Predictive Analytics (2015)Effective CRM Using Predictiv…Profit optimizing customer churn prediction with Bayesian network classifiers (2014)Profit optimizing customer ch…Decision making with the analytic hierarchy process (2008)Decision making with the anal…Application of data mining techniques in customer relationship management: A literature review and classification (2008)Application of data mining te…Artificial intelligence-based lead propensity prediction (2023)Artificial intelligence-based…TOWARD A SMART LEAD SCORING SYSTEM USING MACHINE LEARNING (2022)TOWARD A SMART LEAD SCORING S…How to Make a Decision: The Analytic Hierarchy Process (1994)Multiple Criteria Decision Analysis: State of the Art Surveys (2005)Models, Methods, Concepts & Applications of the Analytic Hierarchy Process (2012)An Analysis of Multi-Criteria Decision Making Methods (2013)Criteria in AHP: A Systematic Review of Literature (2015)An integrated framework for sustainable supplier selection and evaluation in supply chains (2016)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Decision Support and Business Intelligence Systems (2006)A survey towards an integration of big data analytics to big insights for value-creation (2018)Brave New World? On AI and the Management of Customer Relationships (2020)The evolving role of artificial intelligence in marketing: A review and research agenda (2021)Customer satisfaction, customer retention, and market share (1993)The Behavioral Consequences of Service Quality (1996)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Negative Correlation Learning for Customer Churn Prediction: A Comparison Study (2015)A Survey on Customer Churn Prediction using Machine Learning and data mining Techniques in E-commerce (2021)Profit margin prediction in sustainable road freight transportation using machine learning (2021)Firm Resources and Sustained Competitive Advantage (1991)The Commitment-Trust Theory of Relationship Marketing (1994)Firm resources and sustained competitive advantage (2004)Knowledge sharing mechanisms and techniques in project teams: Literature review, classification, and current trends (2016)Forecasting social CRM adoption in SMEs: A combined SEM-neural network method (2017)Digital platforms for business-to-business markets: A systematic review and future research agenda (2021)Predictive Analytics in Information Systems Research1 (2011)Harnessing marketing automation for B2B content marketing (2015)The Rapid Adoption of Data-Driven Decision-Making (2016)A view on the methodology of analysis and exploration of marketing data (2017)Collective clustering of marketing data—recommendation system Upsaily (2018)Recommendations Based on Collective Intelligence – Case of Customer Segmentation (2019)
this work references cited by second hop

References

  • 2008Decision making with the analytic hierarchy process10,726 cited
  • 2008Application of data mining techniques in customer relationship management: A literature review and classification1,293 cited
  • 2016Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research228 cited
  • 2014Profit optimizing customer churn prediction with Bayesian network classifiers43 cited
  • 2015Effective CRM Using Predictive Analytics22 cited

Cited by

  • 2022TOWARD A SMART LEAD SCORING SYSTEM USING MACHINE LEARNING12 cited
  • 2023Artificial intelligence-based lead propensity prediction9 cited

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