In this Project, we will learn about conjoint analysis and its application when introducing a new product into the market. Rank-based conjoint analysis is carried out in this Project using multiple linear regression.
In this project, we will lead you through a combination of text processing and marketing that mainly focus on the content optimization aspect: the recommender system and let you understand how the system actually works.
In this Project, we will focus on combining RFM (Recency, Frequency, and Monetary value) analysis with clustering analysis to to identify different market segments.
In this Project, we focus on RFM (Recency, Frequency, and Monetary value) analysis. This type of analysis is used when historical data for existing customers are available.