GumGum
49 Case Studies
A GumGum Case Study
L'Oréal Paris sought to prove that quality reach, not just broad reach, drives superior brand outcomes. The challenge was to connect with high-value consumers in the competitive anti-aging category in a privacy-first way, leveraging AI to turn attention into action and outperform traditional reach-based approaches. To achieve this, they partnered with vendor GumGum and utilized its Mindset Graph™ product.
GumGum implemented a strategy using its Mindset Graph™, a predictive AI engine that used real-time attention signals to optimize contextual ad placement and creative performance. This solution placed L'Oréal's ads in environments where users were most receptive, leading to exceptional results. The campaign achieved a peak attention time 1.5 seconds higher than benchmark, a 68% spontaneous brand recall rate, and a 40% uplift in intent to try the product, demonstrating the powerful impact of GumGum's attention-focused approach.