Traditional market research can take weeks, cost thousands of dollars, and often flatten the consumer signals that matter most to CPG marketers. This white paper explores how synthetic market simulation is transforming marketing creative testing by combining AI with a representative, data-grounded synthetic population to help brands test concepts and creative faster and at greater scale.
MathCo’s framework uses Nemotron Personas, a population of more than one million synthetic personas grounded in real census, labor, and demographic distributions, as the foundation for building product-specific audiences. Rather than relying on generic consumer archetypes, the framework identifies the personas whose attributes best align with a product, concept, or creative brief. These synthetic personas then form a targeted audience for AI consumer research and purchase intent simulation, enabling brands to evaluate how different concepts and creative variations may resonate with their intended consumers.
By combining AI-driven consumer insights with audience-specific simulation and richer response distributions, the framework enables continuous marketing creative testing and faster creative iteration. The approach can help CPG organizations accelerate innovation, reduce research costs, uncover nuanced consumer signals, and build greater confidence in pre-launch marketing decisions.
