Back to all work
RetailNDA-safe case study

Customer Segmentation for Coles Baby Category

Built a customer segmentation model for all consumers who purchased baby-related products at Coles, enabling more targeted and effective sales strategies across the category.

Client
Coles
Duration
3 months
Stack
PythonSQLk-means ClusteringPandas

01. The Problem

Coles had a large, diverse base of baby-category shoppers but no structured way to distinguish between them — making it difficult to tailor promotions, ranging decisions and loyalty initiatives to the right customers.

02. The Approach

Extracted and cleaned transaction data for baby-category purchases, engineered behavioural features including purchase frequency, basket size and product affinity, then applied clustering techniques to identify distinct customer segments with meaningful commercial differences.

03. The Outcome

Delivered a clear segmentation of baby-category consumers that gave the merchandising and marketing teams a foundation for more focused, segment-specific sales strategies — moving away from one-size-fits-all promotions.

Have a similar challenge?

I bring the same rigor and outcome-focus to every engagement — from enterprise clients to focused startup work.

Start a conversation