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Customer Churn Prediction in B2B Contexts · Study

WorkCustomer Churn Prediction in B2B Contexts

Iris Figalist2019

Work2019

Customer Churn Prediction in B2B Contexts

Iris Figalist · Christoph Elsner · Jan Bosch · Ölsson

17 citations·0/0 files stored·Lecture notes in business information processing

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Customer churn and segmentation Customer Service Quality and Loyalty AI and HR Technologies

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References

2006Relationship quality as a predictor of B2B customer loyalty 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector 2010Building comprehensible customer churn prediction models with advanced rule induction techniques 1994Strategic database marketing 2004Research Methodology: An Introduction 2014Managing B2B customer churn, retention and profitability 2014Perceived value in B2B and B2C 2004Predicting customer behavior in telecommunications

Cited by

2021Breaking the vicious circle: A case study on why AI for software analytics and business intelligence does not take off in practice 2020Breaking the Vicious Circle: Why AI for software analytics and business intelligence does not take off in practice 2025Optimized churn prediction using ensemble-based feature selection via second-order cone programming 2021Customer Churn Prediction in FMCG Sector Using Machine Learning Applications

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2021Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approacharticle · 3 shared references 2022B2Boost: instance-dependent profit-driven modelling of B2B churnarticle · 3 shared references 2016Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industryarticle · 2 shared references 2017A review and analysis of churn prediction methods for customer retention in telecom industriesother · 2 shared references 2014Churn Prediction in Telecommunication Industry Using Rough Set Approachchapter · 2 shared references 2017Benchmarking sampling techniques for imbalance learning in churn predictionarticle · 2 shared references

Details

Year2019

Typeother

Published2019-01-01

VenueLecture notes in business information processing

ISSN-L1865-1348

Languageen

Citations17

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1007/978-3-030-33742-1_30

openalex_workW2985648388

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