Results 91 to 100 of about 22,947 (200)

Customer Churn - Prevention Model – Prediction Model

open access: yes, 2021
The strategy of any organization is based on the growth of its customer base, and one of 5 its principles is that selling a product to an existing customer is much more profitable than acquiring 6 a new customer. However, this approach has several opportunities for improvement, since it usu- 7 ally has a totally reactive approach, which does not give ...
openaire   +2 more sources

Churn prediction for SaaS company with machine learning [PDF]

open access: yesInnovation & Management Review
Purpose – In an era marked by fierce business competition, customer retention is crucial for sustaining profitability. Churn prediction, the ability to forecast customer defections, is essential to enhance retention and can profoundly impact a company’s ...
Hugo Eduardo Sanches   +2 more
doaj   +1 more source

Does Service Bundling Reduce Churn? [PDF]

open access: yes
We examine whether bundling in telecommunications services reduces churn using a series of large, independent cross sections of household decisions. To identify the effect of bundling, we construct a pseudo-panel dataset and utilize a linear, dynamic ...
Jeffrey T. Prince, Shane Greenstein
core  

Enhancing customer retention in case of service elimination? An empirical investigation in telecommunications [PDF]

open access: yes, 2019
Generally, service industries require a rapid innovation of service portfolios to gain and maintain a competitive advantage. In this context, service elimination is a tool of portfolio renewal, where customer retention is a strategic priority for ...
Kolos, Krisztina   +2 more
core  

Banking customer churn prediction using random forest based on Smote and Adasyn approach

open access: yesTạp chí Phát triển và Hội nhập
Customer Churn is now becoming a significant problem in the banking sector. It is necessary to seek solutions to predict the rate of customer churn in banks; however, the dataset for customer churn prediction in banks is imbalanced.
Cong Thanh Tran
doaj   +1 more source

Performance Analysis of Oversampling and Undersampling on Telco Churn Data Using Naive Bayes, SVM And Random Forest Methods [PDF]

open access: yesE3S Web of Conferences
The telecommunications industry is a rapidly growing economic sector in today’s digital era. However, intense competition causes challenges in retaining customers.
Alif Muhammad Daffa Nur   +1 more
doaj   +1 more source

Subscriber churn in the Australian ISP market [PDF]

open access: yes
Rapid growth in Internet use, combined with easy market entry by Internet service providers (ISPs), has resulted in a highly competitive supply of Internet services.
Coble-Neal, Grant   +2 more
core   +1 more source

CUSTOMER CHURN PREDICTION

open access: yesIARJSET, 2021
Senthilnayaki B, Swetha M, Nivedha D
openaire   +1 more source

Measuring Customer Churn and Interconnectedness

open access: yes, 2020
This paper demonstrates that it is possible to construct accurate pictures of firm revenue, growth, geographic dispersion, and customer base characteristics using an increasingly accessible class of consumer financial transaction data. We develop two new measures which characterize firms' customer bases: the rate of churn in a firm's customer base and ...
Scott Baker, Brian Baugh, Marco Sammon
openaire   +1 more source

CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction

open access: yesJournal of Big Data
Class imbalance is one of many problems of customer churn datasets. One of the common problems is class overlap, where the data have a similar instance between classes.
I Nyoman Mahayasa Adiputra   +1 more
doaj   +1 more source

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