Prediksi Customer Retention Perusahaan Asuransi Menggunakan Machine Learning

Machine-Learning Techniques for Customer Retention: A Comparative Study

Nowadays, customers have become more interested in the quality of service (QoS) that organizations can provide them. Services provided by different vendors are not highly distinguished which increases competition between organizations to maintain and increase their QoS. Customer Relationship Management systems are used to enable organizations to acquire new customers, establish a continuous rel...

Impact of Customer Service Practices on Customer Satisfaction and Retention

In any business to customer (B2C) or business to business (B2B) type of environment, a customer is the ultimate goal and objective. More often than not, it can be quite an issue. This perhaps due to the fact that organizations sometimes do not really understand of what actually goes on in a customer’s mind. As such, this predicament has provided as a challenge task to most business conglomerate...

A Survey on Customer Churn Prediction using Machine Learning Techniques

The fast expansion of the market in every sector is leading to superior subscriber base for service providers. Added competitors, novel and innovative business models and enhanced services are increasing the cost of customer acquisition. In such a fast set up, service providers have realized the importance of retaining the on-hand customers. It is therefore essential for the service providers t...

Customer Lifetime Value Measurement using Machine Learning Techniques

Customer Lifetime Value has become a very important metric in Customer Relationship Management. Various firms are increasing relying on CLV to manage and measure their business. CLV is a disaggregate metric that can be used to find customers who can be profitable in future and hence be used allocate resources accordingly (Kumar and Reinartz, 2006). Besides, CLV of current and future customers i...

Using cloud services and machine learning to improve customer support