Chris is a business analyst who likes to practice data modeling in her free time.
She particularly enjoys building analytical models to achieve marketing objectives. For example: clustering models for auto segmentation, propensity models for customer lifetime value predictions, and attribution models for channel evaluations.
This is a blog for Chris to practice her analytical skills and connect with like-minded people.
All in Retailing
Lift is the most commonly used tool in market basket analysis. The lift for a combination of purchase products and/or day of week is defined by this equation: (The actual number of times combination occurs) divided by (Predicted number of times combination occurs if items in combination were independent).
