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
Edition
Karvina, p. 106-115, 10 pp. 2023
Publisher
Silesian University in Opava
Other information
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
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
Displayed: 10/2/2026 03:16