📊🎯✨ 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

Este repositório reúne exemplos práticos de estratégias de CRM e Growth, com fluxos de automação, segmentação e análise de dados. O objetivo é servir como um **guia prático** (playbook) para profissionais de marketing que querem estruturar jornadas de relacionamento personalizadas.

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.

The Ad Run Performance Insight Dashboard provides a comprehensive view of marketing and advertising campaign performance across various channels. It enables data-driven decision-making by visualizing key ad performance KPIs, identifying high-performing campaigns, optimizing ad spend, and tracking lead conversions in real time.

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.

📈 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.

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

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

Data analysis of marketing spend, revenue, and ROMI using R

Personal Consumer Behavior Project, Display and Interpretation of Consumer Analytics Using Data From Kaggle.

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.

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

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.

Social Media Campaign Performance Tracker – Power BI Dashboard for Future Interns Task 2