in customer relationship management (crm) systems, importance and performance of the attributes that define a service is very important. importance-performance analysis is an effective tool for prioritizing service attributes based on customer needs and expectations and also for identifying strengths and weaknesses of organization in the market. in this study with the purpose of increasing reli...

a r t i c l e i n f o Keywords: Customer response predictive model Knowledge-based marketing RFM Neural networks Decision tree models Logistic regression Decision support techniques and models for marketing decisions are critical to retail success. Among different marketing domains, customer segmentation or profiling is recognized as an important area in research and industry practice. Various ...

Churn prediction is essential for the survival of every business as it allows proactive action planning, whereas customer segmentation an effective grouping approach commonly used product marketing and relationship management. This paper analyzes current development attrition telecommunications (telco) industry, explores integration both approaches that results in actionable matrix framework re...