A data-driven analysis of an online marketplace to understand revenue trends, user behavior, and marketing performance, with actionable recommendations to improve business outcomes.
An online marketplace wants to better understand its performance across users, products, and marketing campaigns.
Key questions:
- Which products and categories drive the most revenue?
- Which user segments are most valuable?
- Are marketing campaigns delivering positive ROI?
- Where can the business improve performance?
Analyze marketplace data to uncover trends, evaluate key performance metrics, and provide actionable insights to improve revenue and user engagement.
Synthetic dataset simulating real-world marketplace operations:
- Users: 200+ users (age, gender, location, segments)
- Products: 100+ products across categories (Electronics, Fashion, Home, Sports)
- Orders: 300+ transactions (revenue, quantity, payment methods)
- Sessions: Page views and session durations
- Campaigns: Marketing channels, cost, leads, ROI
- Cleaned and validated datasets
- Structured data for analysis
- Revenue trends across categories and segments
- Product-level performance analysis
- User engagement patterns (page views, session duration)
- Marketing campaign performance (ROI analysis)
- Total Revenue
- Top Products by Sales
- Revenue by Segment
- Campaign ROI
- User Engagement Metrics
- A small number of products contribute to a large share of total revenue
- Certain user segments show higher engagement and spending behavior
- Marketing ROI varies significantly across channels
- Some campaigns generate low ROI despite high spend
- Higher user engagement correlates with increased conversion potential
- 📌 Focus marketing spend on high-ROI campaigns
- 📈 Promote top-performing products to maximize revenue
- 🎯 Target high-value user segments with personalized strategies
- 📉 Optimize or discontinue underperforming campaigns
- 📊 Improve engagement strategies to increase session duration and conversions
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Plotly
- Open the notebook in Google Colab
- Run all cells from top to bottom
- Analyzing marketplace data to uncover revenue drivers
- Evaluating marketing effectiveness using ROI metrics
- Identifying user behavior patterns and engagement trends
- Translating data insights into actionable business decisions
This project demonstrates how data analysis can uncover business opportunities, optimize marketing strategies, and drive data-informed decisions in a marketplace environment.