- 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
Customer Value Models
A customer value model establishes what the value of a customer has been to an organisation using transactional data. From there, it predicts what the current value the customer has, and what the value may be over a period of time in the future. Customer value models can be complex. It is important in such models to define retrospective customer value clearly so that data mining can estimate a customer's future value.