Customer Segmentation

Dividing customers into distinct groups based on behaviors, needs, or value to tailor products and communication.

• Clustering techniques (K-means, DBSCAN, hierarchical clustering).
• RFM (Recency, Frequency, Monetary) analysis.
• Dimensionality reduction (PCA, t-SNE) for visualization and segmentation.

Enables personalized marketing, cross-selling, retention strategies, and product innovation.