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Systematic comparisons of customer base prediction accuracy: Pareto/NBD versus neural network
16 references·0 citing·46 second hop
Systematic comparisons of customer base prediction accuracy: Pareto/NBD versus neural network (2020)Systematic comparisons of customer base p…A machine learning framework for customer purchase prediction in the non-contractual setting (2018)A machine learning framework …A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)A comparative analysis of dat…A comparison of machine learning techniques for customer churn prediction (2015)A comparison of machine learn…Extracting Dimensions of Consumer Satisfaction with Quality from Online Chatter: Strategic Brand Analysis of Big Data Using Latent Dirichlet Allocation (2014)Extracting Dimensions of Cons…Customer churn prediction by hybrid neural networks (2009)Customer churn prediction by …Application of data mining techniques in customer relationship management: A literature review and classification (2008)Application of data mining te…Applying data mining to telecom churn management (2005)Applying data mining to telec…“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model (2005)“Counting Your Customers” the…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…Understanding customer relationship management (CRM) (2003)Understanding customer relati…Bayesian neural network learning for repeat purchase modelling in direct marketing (2002)Bayesian neural network learn…On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)On the Profitability of Long-…Determinants of relationship quality: An artificial neural network analysis (1996)Determinants of relationship …Customer Base Analysis: An Industrial Purchase Process Application (1994)Customer Base Analysis: An In…Loyalty-based management. (1993)Loyalty-based management.Counting Your Customers: Who-Are They and What Will They Do Next? 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On AI and the Management of Customer Relationships (2020)The evolving role of artificial intelligence in marketing: A review and research agenda (2021)A Consumer Purchasing Model with Erlang Inter-Purchase Times (1973)Dynamic Forecasts of New Product Demand Using a Depth of Repeat Model (1976)Population Heterogeneity in Demographic Models (1982)Return on Marketing: Using Customer Equity to Focus Marketing Strategy (2003)Forecasting with artificial neural networks: (1998)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)A survey of results on mobile phone datasets analysis (2015)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Determinants of Long-Term Orientation in Buyer-Seller Relationships (1994)Customer loyalty in e-commerce: an exploration of its antecedents and consequences (2002)Customer Engagement Behavior: Theoretical Foundations and Research Directions (2010)Understanding Customer Experience Throughout the Customer Journey (2016)Relationship Marketing of Services--Growing Interest, Emerging Perspectives (1995)Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing (1998)Understanding Relationship Marketing Outcomes (2002)
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References

  • 2000On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing1,364 cited
  • 1993Loyalty-based management.1,317 cited
  • 2008Application of data mining techniques in customer relationship management: A literature review and classification1,293 cited
  • 2003Understanding customer relationship management (CRM)1,260 cited
  • 2014Extracting Dimensions of Consumer Satisfaction with Quality from Online Chatter: Strategic Brand Analysis of Big Data Using Latent Dirichlet Allocation780 cited
  • 1987Counting Your Customers: Who-Are They and What Will They Do Next?663 cited
  • 2005Applying data mining to telecom churn management526 cited
  • 2015A comparison of machine learning techniques for customer churn prediction518 cited
  • 2005“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model481 cited
  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting450 cited
  • 1994Customer Base Analysis: An Industrial Purchase Process Application337 cited
  • 2009Customer churn prediction by hybrid neural networks336 cited
  • 1996Determinants of relationship quality: An artificial neural network analysis315 cited
  • 2018A machine learning framework for customer purchase prediction in the non-contractual setting

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267 cited
  • 2002Bayesian neural network learning for repeat purchase modelling in direct marketing218 cited
  • 2016A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry214 cited
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