Project Objective: Ensuring that the advertising budget is optimized by focusing on the highest-performing segments and channels, thereby maximizing returns and overall campaign effectiveness.

• Calculating key performance metrics: Return on Investment (ROI), Conversion Rate (CVR), Average Order Value (AOV), and net profit across various customer segments and channels.

• Utilizing Python (Numpy, Pandas, Matplotlib, Seaborn) for data processing, visualization, and generating insightful charts to inform strategic decision-making.

• Recommending optimal budget distribution that maximize returns and minimize wasted spend.