| 1. Planning & Objectives |
Defined project goals and key segmentation metrics with marketing team. |
Clear segmentation objectives and target insights. |
| 2. Data Collection |
- CRM data (demographics, purchases)
- Behavioral and engagement data
- Feedback and survey data
|
Comprehensive dataset for clustering. |
| 3. Data Cleaning & Preparation |
- Removed incomplete records
- Standardized variables for modeling
|
Cleaned dataset ready for segmentation. |
| 4. Segmentation Modeling |
Applied clustering algorithms (e.g., K-means) to segment customers. |
Segmented customer groups with similar behaviors. |
| 5. Visualization & Insights |
- Interactive dashboards with segment profiles
- Actionable insights for targeting and retention
|
Clear, data-driven customer segments. |
| 6. Testing & Validation |
- Segment accuracy checks
- Refinements based on marketing feedback
|
Accurate and actionable segmentation results. |
| Final Output |
Fully functional segmentation dashboard integrated into marketing strategy. |
- Improved campaign targeting
- Higher customer engagement
- Better customer retention
|