Case Study: Conrad Achieves More Personalized Customer Experiences with Aliz

Providing actionable, data-based business insights for this European electronics retailer

Conrad, a European electronics retailer, wanted to better understand buying behavior and improve customer experience by making better use of its existing Google Analytics 360 data. Aliz helped the company address challenges around cleaning and reformatting data, reducing manual effort with machine learning, and turning raw data into actionable insights.

Aliz used Google BigQuery to build an ETL pipeline for cleaning and reformatting the Google Analytics 360 data, engineering features such as historical purchase patterns and session-level behavior. The team then trained and tested a propensity-to-churn model in real customer-session conditions, helping Conrad deliver a more personalized experience and take another step toward becoming more data-driven.

Conrad