D 2023

Predicting customer churn in e-commerce using logistic regression

KVÍČALA, Daniel and Martin KLEPEK

Basic information

Original name

Predicting customer churn in e-commerce using logistic regression

Name in Czech

Predikce odchodovosti zákazníků v e-commerce pomocí logistické regrese

Authors

Edition

Karvina, p. 106-115, 10 pp. 2023

Publisher

Silesian University in Opava

Other information

Language

English

Type of outcome

Proceedings paper

Country of publisher

Czech Republic

Confidentiality degree

is not subject to a state or trade secret

Organization unit

School of Business Administration in Karvina

ISBN

978-80-7510-554-7

Keywords (in Czech)

e-commerce, celoživotní hodnota zákazníků, zákaznická loajalita, logistická regrese, retence

Keywords in English

e-commerce, customer lifetime value, customer loyalty, logistic regression, retention
Changed: 20/12/2023 16:50, Ing. Daniel Kvíčala, Ph.D.