Finding the right audience is hard. Finding an audience that barely exists in traditional research panels is even harder.
That’s the challenge agencies face when clients want insights into highly specific consumer groups, such as politically independent news subscribers or niche investor communities. Recruiting those audiences can take weeks and cost thousands of dollars, often slowing product launches, media planning and audience development efforts.
That’s the problem StatSocial hopes to address with Digital Twins, a new product launching today. The tool allows brands, agencies and publishers to simulate audience research using AI-generated profiles built from real behavioral data.
The platform creates anonymized digital representations of audiences using StatSocial’s behavioral graph, which maps interests, affinities, media consumption habits and other attributes across hundreds of millions of consumers. Users can build audience segments, ask questions, test creative concepts and evaluate products without recruiting traditional focus groups.
One of the earliest testers is Shepherd, an audience strategy consultancy that has worked with StatSocial for more than eight years.
