Strategic-Marketing-Insight

Project Background :

This project involves analyzing Superstore data to segment customers into potential and churn-risk categories using Recency, Frequency, and Monetary (RFM) metrics. The goal is to enhance marketing strategies and customer retention by understanding customer behavior and value. By examining purchasing patterns and calculating metrics such as Customer Lifetime Value (CLV) and Average Order Value (AOV), the project aims to provide actionable insights for more targeted, effective marketing efforts and increase profit

Context :

1. "Performing the ETL process on this dataset in Tableau, and inputting it for analysis and visualization.
2. Conducting analysis on ROMI (Return On Marketing Investment) and RFM (Recency, Frequency & Monetary)."

Business Matrics :

1. ROMI (Return on Marketing Investment)
2. RFM (Recency, Monetary and Frequency)
3. Acquisition Cost

Digital Asset

Dataset

Details

Deck