Results 1 to 10 of about 639,400 (197)
CUSTOMER CHURN PREDICTION [PDF]
Our work focuses on applying supervised machine learning techniques to anticipate bank client attrition. We created a straightforward and effective strategy that works with a variety of machine learning techniques. We tested many methods through tests and discovered that the Decision Tree strategy was the most effective in forecasting client attrition.
Lavina Anand Parulekar +3 more
core +9 more sources
No industry can thrive without customers and with customers comes the chances of customer churn. Since customer churn have direct-impact on the revenue, all the industries are focusing in understanding the factors influencing churn and are developing ...
Manish Mohan, Anil Jadhav
doaj +1 more source
PREDICTIVE ANALYSIS OF CUSTOMER CHURN IN TELECOM INDUSTRY USING SUPERVISED LEARNING [PDF]
Customer acquisition and retention is a key concern for several industries and is particularly acute in fiercely competitive and fast growth businesses. Retaining a loyal customer is far more important than acquiring a new one, thus making customer churn
Shreyas Rajesh Labhsetwar
doaj +1 more source
Predicting Customer Churn in Retailing
INSiDR
Dirar Sweidan +3 more
openaire +3 more sources
Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Customer acquisition cost can be five to six times that of customer retention, hence investing in customers with churn risk is ...
David Hason Rudd, Huan Huo, Guandong Xu
doaj +1 more source
Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping
In recent years, the telecom market has been very competitive. The cost of retaining existing telecom customers is lower than attracting new customers.
Tianpei Xu, Ying Ma, Kangchul Kim
doaj +1 more source
Customer churn will cause the value flowing from customers to enterprises to decrease. If customer churn continues to occur, the enterprise will gradually lose its competitive advantage.
Ming Zhao +4 more
doaj +1 more source
FORECASTING CUSTOMER FUTURE BEHAVIOR IN RETAIL BUSINESS USING MACHINE LEARNING MODELS
The ability to forecast customers’ future purchases, lifetime value, and churn are fundamental tasks in business management. These tasks become more complicated when the relationship between customers and business is not contractual.
Shyngys Akhmetbek
doaj +1 more source
A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation
Numerous valuable clients can be lost to competitors in the telecommunication industry, leading to profit loss. Thus, understanding the reasons for client churn is vital for telecommunication companies.
Tianyuan Zhang +2 more
doaj +1 more source
An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach
With the rising growth of the telecommunication industry, the customer churn problem has grown in significance as well. One of the most critical challenges in the data and voice telecommunication service industry is retaining customers, thus reducing ...
Latifah Almuqren +2 more
doaj +1 more source

