Case Study: a major fashion retail brand achieves 13% higher wallet share with Comsense Technologies

The largest fashion retail brand of the UK improves wallet share per customer by 13% in less than 3 months with data-driven approach

The largest fashion retailing company, a major UK-based retailer, sought to launch a new e-commerce business in India and needed to break down its existing data silos. They aspired to leverage their customer data from various sources to drive better business outcomes. Comsense Technologies was engaged to address this challenge.

Comsense Technologies implemented a data-driven solution by consolidating customer information into a marketing data lake and creating advanced customer profiles. Using ML models for segmentation and personalization, they enabled real-time, cross-channel offers. This approach led to a 9% sales uplift from targeted campaigns and increased wallet share per customer by 13% within three months for the largest fashion retailing company.