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Predicting Customer Churn Using Machine Learning in IT Startups
7 references·3 citing·46 second hop
Predicting Customer Churn Using Machine Learning in IT Startups (2021)Predicting Customer Churn Using Machine L…Customer agility and responsiveness through big data analytics for public value creation: A case study of Houston 311 on-demand services (2017)Customer agility and responsi…Software Industry Business Models (2011)Software Industry Business Mo…Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers (2008)Improving customer attrition …ADTreesLogit model for customer churn prediction (2008)ADTreesLogit model for custom…Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Churn prediction in subscript…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Subscriber churn in the Australian ISP market (1999)Subscriber churn in the Austr…Predictive Analytics for Customer Churn in Salesforce Service Cloud (2026)Predictive Analytics for Cust…Data-Driven Decision Support in SaaS Cloud-Based Service Models (2025)Data-Driven Decision Support …Machine learning based churn analysis for sellers on the e-commerce marketplace (2023)Machine learning based churn …Econometric Models of Probabilistic Choice (1981)Customer satisfaction, customer retention, and market share (1993)The Behavioral Consequences of Service Quality (1996)Pull-and-suck effects in Taiwan mobile phone subscribers switching intentions (2011)Research Note —Online Users' Switching Costs: Their Nature and Formation (2011)Intelligent data analysis approaches to churn as a business problem: a survey (2016)A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing (1998)Switching barriers and repurchase intentions in services (2000)Customer churn prediction using improved balanced random forests (2008)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Customer churn prediction in telecommunications (2011)A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)Zero defections: quality comes to services. 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this work references cited by second hop

References

  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques432 cited
  • 2008Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers141 cited
  • 2017Customer agility and responsiveness through big data analytics for public value creation: A case study of Houston 311 on-demand services141 cited
  • 1999Subscriber churn in the Australian ISP market85 cited
  • 2008ADTreesLogit model for customer churn prediction45 cited
  • 2011Software Industry Business Models40 cited

Cited by

  • 2025Data-Driven Decision Support in SaaS Cloud-Based Service Models10 cited
  • 2023Machine learning based churn analysis for sellers on the e-commerce marketplace7 cited
  • 2026Predictive Analytics for Customer Churn in Salesforce Service Cloud6 cited

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