Realeyes is proud to announce a new partnership with Grip, the leading platform in end-to-end content generation, aimed at improving the effectiveness of digital advertising.
This collaboration combines Grip’s interface and PreView Synthetic Testing for real-time, personalized content recommendations, improving quality and speeding up delivery.
Brands are under immense pressure to consistently deliver high-quality, diverse content. According to Nielsen, 47% of a brand’s advertising sales lift is the result of quality creative, many struggle to produce visuals that not only captivate but also drive consumer action. The partnership will give brands the confidence that they are generating varied content tailored to specific audiences and contexts.
Brands today are eager to leverage the power of generative AI, but they need a system that’s both complete and scalable. Realeyes Synthetic Testing model, which was announced at MAD//Fest in July, finally achieves that scale, making testing every single piece of creative within reach.
PreView Synthetic Testing is an API providing instant and ‘always on’ Predicted Attention performance, enabling advertisers to test all creative so nothing is left to chance.
Our Synthetic model enabled Mars to instantly predict attention and emotion for every ad across their brand portfolios with 78% accuracy vs human measurement. By running any image or video ad through the model, Mars could optimize their ad inventory, reporting gains of 3-5% sales lift.
The Grip-Realeyes partnership offers a unified approach to content generation and performance optimization at scale. This collaboration helps brands fully harness the potential of AI, driving efficiency, effectiveness, and success in their advertising efforts.
As Frans Vriesendorp, CEO of INDG Grip, said in the press release announcing the partnership: "By integrating Grip’s blend of creative generation capabilities such as AI, CGI, digital twins and post-production with Realeyes’ sales-validated attention measurement expertise, we’re enabling brands not just to generate content but generate content that works—at scale.”