Case Study: G-Star RAW boosts Shopping ad efficiency with Producthero Labelizer

How G-Star RAW pushes its best products using Producthero Labelizer

The fashion brand G-Star RAW was facing inefficiencies in its Google Shopping ad spend, with a significant portion of its budget being allocated to underperforming products that did not meet its return on ad spend (ROAS) objectives.

Using the Producthero Labelizer tool, Producthero analyzed G-Star's product performance daily, categorizing items into personas like "Heroes" and "Villains" to optimize spend. This data-driven approach allowed G-Star to push its best products and reduce wasteful ad spend on poor performers. As a result, the country using Producthero Labelizer, Germany, saw a 33% increase in efficiency compared to countries not using the solution, generating more revenue at the same cost.

G-Star RAW