Ad MRI

Creative production has become faster and cheaper with AI, but deciding which ads deserve budget is still largely subjective. Ecommerce brands, agencies, and creative teams spend thousands producing and testing creatives, often relying on intuition to decide what to launch or iterate. By the time performance data arrives, money has already been spent.

Ad MRI helps brands see their ads through the eyes of the viewer before spending media budget. It models how a viewer is likely to experience each moment of a Meta or TikTok video ad, revealing how visuals, copy, hooks, pacing, and marketing angles work together to hold attention or create friction. The result is a clear roadmap for what to keep, what to change, and what to test next.

Generative AI has dramatically increased the volume of creative being produced. Brands can generate far more concepts than they can confidently evaluate. As creative output scales, the bottleneck shifts from production to decision making. Teams need better ways to review and prioritize creatives before investing media spend.

Foundation models are becoming commodities. The long term advantage comes from proprietary evaluation methodology, accumulated customer feedback, and a growing dataset of creative decisions that improve recommendations over time.

Creative strategy, Meta advertising, video ad analysis, AI for marketing, ecommerce growth