- 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
Recency, Frequency, Value (RFV) Analysis
RFV analysis looks at the transactional behaviour of a customer and establishes levels of interaction according to how frequently, when and how much a customer has spent with a company. From here, it is possible for the company to identify their best customers – not only by the quantity or value of sales, but a combination of how often, how many and how much. Sometimes the most loyal customers only come once a year and spend a lot, or come often and buy small amounts. RFV analysis enables this understanding.