I conducted a data-driven study to understand how branding affects customer satisfaction in India’s fast-growing e-commerce market. The project involved analyzing survey responses from 608 users across India and applying machine learning techniques to predict satisfaction levels. Key Contributions: 1. Performed data cleaning, preprocessing, and feature engineering on consumer behavior data. 2. Conducted detailed EDA to uncover patterns in brand loyalty, trust, and platform preferences. 3. Built multiple ML models (Logistic Regression, Decision Tree, Random Forest, XGBoost, CatBoost). 4. Achieved 72.13% accuracy with Random Forest — the highest among all models. 5. Identified top branding factors: customer reviews, product quality, social media presence, and secure transactions. 6. Provided actionable insights for improving customer engagement and loyalty.