- 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 Life-Cycle Analysis
Understanding the changes that customers, as people, undergo in their life helps companies to communicate with them and provide them with the products/ services they are most likely to be interested in. In data mining, these life cycles could be life stages e.g. getting married, having a baby, or they could be the life cycle of relationship with the company e.g. new customer, lapsed customer. Customer life cycles add another dimension of customer understanding and data mining is used to establish them.