Case Study: Gina Tricot achieves data-driven decisioning and double-digit ROAS growth with Looker

Gina Tricot a new data-driven culture and faster decisioning with BigQuery and Looker

Gina Tricot needed a centralized, easier way to work with data across the business and build a more data-driven culture. By using Looker with BigQuery, the fashion retailer aimed to improve decision-making and give more teams access to consistent reporting and analysis.

Looker helped Gina Tricot democratize data with a unified warehouse, simple reporting, and AI-powered predictive analytics. The result was faster decision-making, successful rollout across sales, marketing, and inventory management, and measurable gains including a double-digit increase in return on ad spend plus a significant increase in revenue.

Gina Tricot

Emélie Sandström

Head of Group Financial