Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

With increasing computing power, artificial intelligence (AI) and machine learning (ML) have
prospered, which facilitate the analysis of large datasets, especially those found in critical …

Customer retention is critical to business strategy in the telecommunications industry as
companies strive to maintain a stable and loyal customer base. Customer churn, the process …

Purpose As internet banking service marketing platforms continue to advance, customers
exhibit distinct behaviors. Given the extensive array of options and minimal barriers to …

The present study is a systematic literature review that identifies the context of consumer
behaviour and analytics in business to forecast the future of consumer behaviour with …

Purpose This study aims to reveal the influencing factors of user churn behavior and explore
how these factors influence user churn behavior of rural public digital cultural services …

Dropout prediction is a problem that is being addressed with machine learning algorithms;
thus, appropriate approaches to address the dropout rate are needed. The selection of an …

Customer lifetime value (CLV) is the discounted sum of future cash flows due to a
relationship with a single customer and customer equity (CE) is the sum of CLVs from all …

In recent years, the telecommunication industry is growth and become very competitive
where has reached the point maintaining customer is very essential than acquiring new …

Predictive analytics have become indispensable tools for implementing data-driven
strategies and decisions. These innovations are used to predict future activities, thereby …