Results 181 to 190 of about 1,692 (204)

Predicting Customer Churn for Insurance Data

2020
Most organisations employ customer relationship management systems to provide a strategic advantage over their competitors. One aspect of this is applying a customer lifetime value to each client which effectively forms a fine-grained ranking of every customer in their database. This is used to focus marketing and sales budgets and, in turn, generate a
Michael Scriney, Dongyun Nie, Mark Roantree   +2 more
openaire   +1 more source

Customer Churn Prediction by Hybrid Model

2006
In order to improve the performance of a data mining model, many researchers have employed a hybrid model approach in solving a problem. There are two types of approach to build a hybrid model, i.e., the whole data approach and the segmented data approach.
Jae Sik Lee, Jin Chun Lee
openaire   +1 more source

Predicting Customer Churn at QWE Inc.

Darden Business Publishing Cases, 2017
This case exposes students to predictive analytics as applied to discrete events with logistic regression. The VP of customer services for a successful start-up wants to proactively identify customers most likely to cancel services or “churn.” He assigns the task to one of his associates and provides him with data on customer behavior and his intuition
openaire   +1 more source

Adoption of Churn Recognition System to Predict Customer Churn

2023
In the cutthroat competitive arena, it is a very challenging task for any enterprise to make a balance between retaining its existing loyal customers and attracting new customers. It is a tedious task to find the right segment of active customers and understand the reason behind churn numbers. It is said that it is five times more costly to attract new
Yuvraj Sharma, Rajender Gurram, Naveen Saharan   +2 more
openaire   +1 more source

Predicting Probability of Customer Churn in Insurance

2016
We focus on a real case of the motor insurance sector. We propose four different methods to predict lapsing from a portfolio of policies. We present a comparative analysis between three different performance measures in order to assess the predictive power of each model. Our comparison analyses the outcomes of a logistic regression, a conditional tree,
Catalina Bolancé, Montserrat Guillen, Alemar E. Padilla-Barreto   +2 more
openaire   +1 more source

Customer churn prediction for retention analysis

Abstract This abstract provides a comprehensive overview of the research on Customer Churn Prediction for Retention Analysis. In today’s corporate context, understanding and mitigating customer churn has become critical for long-term success.
Rajesh Saturi, Siripothula Rahul, Zuha Siddiqui, Rachamalla Nikhitha   +3 more
openaire   +1 more source

Predicting Customer Churn in Electronic Banking

2019
The following paper is an outline of the current author’s research on the churn prediction in electronic banking. The research is based on real anonymised data of 4 million clients from one of the biggest Polish banks. Access to real data in such scale is a substantial strength of the study, as many researchers often do use only small data sample from ...
openaire   +1 more source

Proactive customer retention management in a non-contractual B2B setting based on churn prediction with random forests

Industrial Marketing Management, 2022
Theresa Gattermann-Itschert
exaly  

Leveraging unstructured call log data for customer churn prediction

Knowledge-Based Systems, 2021
Nhi N Y Võ, Shaowu Liu, Xitong Li
exaly  

A PCA-AdaBoost model for E-commerce customer churn prediction

Annals of Operations Research, 2022
Bei Wu, Zengyuan Wu
exaly