Enhancing Marketing Effectiveness through Customer Segmentation and Personalized Direct Mailers

The Solution: Turning Complex Data into Personalized Marketing Campaigns

By simplifying complex datasets and applying proven machine learning techniques, we created a solution that enabled the client to deploy personalized campaigns quickly and effectively.

Data Analysis and Processing - We conducted a deep dive into their customer data using Snowflake, cleaning and aggregating data to ensure high-quality inputs for modeling.

Customer Segmentation Model - Using K-Nearest Neighbors (KNN), we segmented customers into six distinct groups based on shopping behaviors and coupon usage, enabling precise audience targeting.

Feature Identification - We uncovered 15 key features for each segment, providing deep insights into shopping patterns and promotional responsiveness.