This project analyzes user behavior data to understand how customers move through different stages of a sales funnel — from product view to purchase. Using event-level transactional data, the project identifies conversion rates, drop-off points, and revenue insights to support data-driven business decisions.
The goal of this project is to:
- Understand customer journey behavior
- Measure stage-wise conversion rates
- Identify drop-off points in the funnel
- Generate actionable business insights
Source: user_events
Total Records: 9,381
Table name: user_events
| Column Name | Data Type | Description |
|---|---|---|
| event_id | Integer | Unique identifier for each event |
| user_id | Integer | Unique user identifier |
| event_type | Text | Type of event (view, add_to_cart, purchase) |
| event_date | Date | Date of user interaction |
| product_id | Integer | Product involved in the event |
| amount | Float | Revenue value (only for purchase events) |
| traffic_source | Text | Channel source (organic, paid, social, referral, etc.) |