Customer churn in online firms is difficult to manage because customers are so fickle. The ability to detect churn in the early stage is something every online firm would wish to achieve. It represents both a potential revenue source and a cost-saving benefit. Churn prediction models attempt to organize customer behaviors, transactions and demographics to reduce the possibility of churn within ...

Social Network Analysis (SNA) is a set of research procedures for identifying group of people who share common structures in systems based on the relations among actors. Grounded in graph and system theories, this approach has proven to be powerful measures for studying networks in various industries like Telecommunication, banking, physics and social world, including on the web. Since Telecomm...

Recently, the mobile telecommunication market in the Netherlands has changed from a rapidly growing market, into a state of saturation and fierce competition. The focus of telecommunication companies has therefore shifted from building a large customer base into keeping customers ‘in house’. Customers who switch to a competitor are so called churned customers. Churn prevention, through churn pr...

Modern companies accumulate a vast amount of customer data that can be used for creating a personalized experience. Analyzing this data is difficult and most business intelligence tools cannot cope with the volume of the data. One example is churn prediction, where the cost of retaining existing customers is less than acquiring new ones. Several data mining and machine learning approaches can b...

Owing to saturated markets, fierce competition, dynamic criteria, along with introduction of new attractive offers, the considerable issue customer churn was faced by telecommunication industry. Thus, an efficient Churn Prediction (CP) model is required for monitoring churn. Therefore, this work proposes a novel framework predict through deep learning namely Swish Recurrent Neural Network (S-RN...

In subscription services, customers who leave the company can be divided into two groups: customers who do not renew their fixed-term contract at the end of that contract, and others who just stop paying during their contract to which they are legally bound. Those two separate processes are often modeled together in a so-called churnprediction model, but are actually two different processes. Th...