📊🎯✨ Harness the power of the RFM (Recency, Frequency, Monetary) method to cluster customers based on their purchase behavior! Gain valuable insights into distinct customer segments, enabling you to optimize marketing strategies and drive business growth. 📈💡🚀

Marketing Analytics with Python

This Power BI project analyzes data from the loyalty program of Northern Lights Air (NLA), a fictitious airline based in Canada. NLA's goal was to increase loyalty program enrollments through a promotional campaign launched between February and April 2018.

This repository documents the journey from identifying a business problem to developing and implementing a solution that transforms marketing data analytics capabilities. The goal is to share our approach, insights and results to inspire and guide similar initiatives.

Use SQL to investigate customer engagement and purchase behaviour in a marketing campaign

📈 Data-driven advertising ROI analysis using linear regression. Identifies TV ads as most effective (90% sales predictability), radio moderately impactful, newspaper negligible. Built with Python/Pandas/sklearn. Helps optimise marketing budgets.

collection of SAS work

Business Marketing Response Dashboard Analysis to highlight customer demands, feedback and market trends analysis

A comprehensive project delved into the data analysis of various functions of a Hardware manufacturing company like Finance, Sales, Marketing & Supply Chain which will help to generate insights and make data driven decisions in these departments.

Analyzing customer behavior using Unsupervised Learning to segment shoppers based on Annual Income, Spending Score & Age. Insights help businesses optimize marketing & retention strategies.

This project is a Lead Scoring Case Study, built as part of the UpGrad Data Science course, to help businesses identify high-converting leads using Logistic Regression Machine Learning model.