Detail publikace

Cost-benefit metrics in customer churn prediction: A review

FRIDRICH, M.

Originální název

Cost-benefit metrics in customer churn prediction: A review

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In saturated markets, achieving business goals depends highly on organizational ability of managing relationships with customers. Thus, retention management and modelling customer loyalty have been topics of interest for many years, although even bleeding edge classification models are rarely adjusted to business objectives. Therefore, the aim of this paper is to examine body of work in the domains of cost-benefit metrics and customer churn prediction. As a result, present state of research is reviewed through proposed lens of conceptual perspective and machine learning pipeline perspective. Possible directions for future research are identified.

Klíčová slova

customer relationship management, customer churn, machine learning, cost-sensitive classification

Autoři

FRIDRICH, M.

Vydáno

21. 12. 2018

Nakladatel

Magnanimitas

Místo

Hradec Králové

ISBN

978-80-87952-27-6

Kniha

MMK 2018 International Masaryk Conference For Ph.D. Students and Young Researchers

Strany od

178

Strany do

185

Strany počet

8

BibTex

@inproceedings{BUT152163,
  author="Martin {Fridrich}",
  title="Cost-benefit metrics in customer churn prediction: A review",
  booktitle="MMK 2018 International Masaryk Conference For Ph.D. Students and Young Researchers",
  year="2018",
  pages="178--185",
  publisher="Magnanimitas",
  address="Hradec Králové",
  isbn="978-80-87952-27-6"
}