← Back to case studies
Fashion Retail
Fashion Retail: Customer Segmentation
Value
+12% average order value
Timeline
1 week
The Problem
Marketing and loyalty teams had to manually research customer behavior. This high manual effort led to recycling of old target groups and campaigns performing below their potential.
The Solution
Engineered quick processing to generate net sales calculations cleaning returns, applied RFM-based segments. Segments are rule-based to maximize control and understanding while assuring reporting and segment motions remains trackable.
Tech Stack
PythonPostgreSQLPower BISageMaker
The Impact
24%
24% conversion rate increase
12%
12% improvement in average order value
8.3%
8.3% margin uplift