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Perform RFM (Recency, Frequency, Monetary) customer segmentation. Process: 1. Calculate RFM scores from transaction data. 2. Normalize features using StandardScaler. 3. Determine optimal K using elbow method and silhouette score. 4. Apply K-means clustering (4-6 segments). 5. Profile each segment wi...
Create accurate user personas based on real customer data. Research methods: 1. User interviews (15-20 per segment): understand goals, frustrations, workflows. 2. Analytics analysis: usage patterns, feature adoption, churn triggers. 3. Support ticket analysis: common issues and requests. 4. Sales te...
