Objectives
Noting that all customers are not the same, this course uses data analytics to analyze customer lifetime value, identify high-value customers, which customers to up-sell to, which customers to cross-sell to, which customers to send a retention campaign to and which customers to do nothing. This course would cover the following key techniques used to derive actionable insights: Descriptive Statistics, RFM Modelling, Customer Segmentation, Customer Profile, Customer Lifetime Value, Market Basket Analysis, Association Rule Mining, and Product Recommendation & Marketing Strategy.
The software programming language used in this course is R programming.