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Airline new customer tier level forecasting for real-time resource allocation of a miles program
2 references·2 citing·16 second hop
Airline new customer tier level forecasting for real-time resource allocation of a miles program (2014)Airline new customer tier level forecasti…Can we predict customer lifetime value? (2005)Can we predict customer lifet…Yield Management at American Airlines (1992)Yield Management at American …Customer attrition analysis in the securities industry: a large-scale field study in Korea (2019)Customer attrition analysis i…Applying the CG-logistic Regression Method to Predict the Customer Churn Problem (2018)Applying the CG-logistic Regr…The effects of trust and interdependence on relationship commitment: A trans-Atlantic study (1996)A Communication-Based Marketing Model for Managing Relationships (1998)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)The chain from customer satisfaction via word-of-mouth referrals to new customer acquisition (2007)Probability Models for Customer-Base Analysis (2009)Can we get from liking to buying? Behavioral differences in hedonic and utilitarian Facebook usage (2013)Computer assisted customer churn management: State-of-the-art and future trends (2005)Customer churn prediction using improved balanced random forests (2008)Customer churn prediction by hybrid neural networks (2009)Switching barriers and repurchase intentions in services (2000)Modeling Customer Lifetime Value (2006)Market Penetration Costs and the New Consumers Margin in International Trade (2010)Customer churn prediction using a novel meta-classifier: an investigation on transaction, Telecommunication and customer churn datasets (2024)An Overview of Pricing Models for Revenue Management (2003)Smart hospitality—Interconnectivity and interoperability towards an ecosystem (2017)Forecasting: theory and practice (2022)
this work references cited by second hop

References

  • 1992Yield Management at American Airlines697 cited
  • 2005Can we predict customer lifetime value?248 cited

Cited by

  • 2019Customer attrition analysis in the securities industry: a large-scale field study in Korea14 cited
  • 2018Applying the CG-logistic Regression Method to Predict the Customer Churn Problem11 cited

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