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Regaining drifting mobile communication customers: Predicting the odds of success of winback efforts with competing risks regression
16 references·1 citing·52 second hop
Regaining drifting mobile communication customers: Predicting the odds of success of winback efforts with competing risks regression (2015)Regaining drifting mobile communication c…Social Effects on Customer Retention (2011)Social Effects on Customer Re…New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)New insights into churn predi…Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Building comprehensible custo…Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry (2006)Customer churn analysis: Chur…Bagging and Boosting Classification Trees to Predict Churn (2006)Bagging and Boosting Classifi…The analysis of antecedents of customer loyalty in the Turkish mobile telecommunication market (2005)The analysis of antecedents o…Predicting customer retention and profitability by using random forests and regression forests techniques (2005)Predicting customer retention…Applying data mining to telecom churn management (2005)Applying data mining to telec…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…"Migrating" to New Service Providers: Toward a Unifying Framework of Consumers' Switching Behaviors (2004)"Migrating" to New Service Pr…An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry (2003)An LTV model and customer seg…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Predicting subscriber dissati…Customer Poaching and Brand Switching (2000)Customer Poaching and Brand S…A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction (1998)A Dynamic Model of the Durati…An Application of Equity Theory to Buyer-Seller Exchange Situations (1978)An Application of Equity Theo…Customer comeback: Empirical insights into the drivers and value of returning customers (2021)Customer comeback: Empirical …On the Evaluation of Structural Equation Models (1988)Comparative fit indexes in structural models. 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References

  • 1998A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction1,948 cited
  • 2004"Migrating" to New Service Providers: Toward a Unifying Framework of Consumers' Switching Behaviors973 cited
  • 2005The analysis of antecedents of customer loyalty in the Turkish mobile telecommunication market802 cited
  • 2000Customer Poaching and Brand Switching631 cited
  • 2005Applying data mining to telecom churn management514 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 1978An Application of Equity Theory to Buyer-Seller Exchange Situations452 cited
  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
  • 2003An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry411 cited
  • 2006Bagging and Boosting Classification Trees to Predict Churn410 cited
  • 2010Building comprehensible customer churn prediction models with advanced rule induction techniques366 cited
  • 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry347 cited
  • 2006

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Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry
325 cited
  • 2005Predicting customer retention and profitability by using random forests and regression forests techniques308 cited
  • 2011Social Effects on Customer Retention302 cited
  • Cited by

    • 2021Customer comeback: Empirical insights into the drivers and value of returning customers12 cited