- Analytics
- Churn / Attrition and Retention / Loyalty Models
- Clustering
- Customer Analytics
- Customer Life-Cycle Analysis
- Customer Segmentation
- Customer Value Models
- Data Analysis
- Data Mining
- Data Segmentation
- Decision Trees
- Market Analysis
- Market Basket Analysis
- Predictive Modelling
- Profiling
- Recency, Frequency, Value (RFV) Analysis
- Response Analysis and Models
Churn / Attrition and Retention / Loyalty Models
Churn and retention are major applications of data mining. Churn tends to be employed as a term because it refers to all types of customer attrition - voluntary or involuntary. It is harder to understand and recognise churn in some industries than others. Churn is easiest to spot and define in customer relationships where there are subscriptions and monthly billing. Churn models can either predict that a customer will leave, or estimate the customer's remaining lifetime.