Results 41 to 50 of about 9,090 (181)
EAI Endorsed Transactions on Mobile Communications and Applications, 2022 INTRODUCTION: Customer churn is a severe problem of migrating from one service provider to another. Due to the direct influence on the company's sales, companies are attempting to promote strategies to identify the churn of prospective consumers.
Sulaiman Olaniyi Abdulsalam +3 more
doaj +1 more source
, 2015 Churn prediction, or the task of identifying customers who are likely to discontinue use of a service, is an important and lucrative concern of firms in many different industries.
Blumenstock, Joshua +3 more
core +1 more source
Social Sciences and Humanities OpenCustomer churn directly leads to the weakening of the economic efficiency of an operator and even the loss of its competitive advantage in the market share. The identification and prediction of customer churn in the era of interconnection has become more
Liu Kun +2 more
doaj +1 more source
Churn prediction for SaaS company with machine learning [PDF]
Innovation & Management ReviewPurpose – 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
Customer churn prediction in telecom sector using machine learning techniques
Results in Control and OptimizationIn the telecom industry, large-scale of data is generated on daily basis by an enormous amount of customer base. Here, getting a new customer base is costlier than holding the current customers where churn is the process of customers switching from one ...
Sharmila K. Wagh +5 more
doaj +1 more source
Banking customer churn prediction using random forest based on Smote and Adasyn approach
Tạp chí Phát triển và Hội nhậpCustomer 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
An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach
Future Internet, 2021 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
Customer Churn - Prevention Model – Prediction Model
, 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
Employee turnover prediction and retention policies design: a case study [PDF]
, 2017 This paper illustrates the similarities between the problems of customer churn and employee turnover. An example of employee turnover prediction model leveraging classical machine learning techniques is developed.
Perthame, Benoît +2 more
core +2 more sources
The Role of Peer Influence in Churn in Wireless Networks
, 2014 Subscriber churn remains a top challenge for wireless carriers. These carriers need to understand the determinants of churn to confidently apply effective retention strategies to ensure their profitability and growth. In this paper, we look at the effect
Ferreira, Pedro, Han, Qiwei
core +1 more source