Where do FishDog's synthetic people come from, and why doesn't the audience just agree with your assumptions?
From a digital twin of the US population: synthetic people built from census data, each with a personality, a job and their own news. Your audience is recruited from that population by filtering it with your brief. No model invents the people to match a prompt.
Book a DemoThe usual way: a prompt
Most synthetic research starts with a prompt. Describe the customer you want, and a model invents them on the spot. That audience looks like whatever the model imagines your viewers to be. It agrees with your assumptions, because it was built from them.
Recruited, never created
FishDog works the other way round. It starts with a digital twin of the US population: synthetic people built from census data, each with a personality, a job and their own news. Then it recruits from it. Your brief filters the population. It never writes the people.
When the real audience skews
Because the audience is recruited from a population rather than written to a brief, it keeps the population’s shape. When the real audience skews, ours skews with it.
Transcript
Most synthetic research starts with a prompt. Describe the customer you want, and a model invents them on the spot.
That audience looks like whatever the model imagines your viewers to be. It agrees with your assumptions, because it was built from them.
FishDog works the other way round. We start with a digital twin of the US population: synthetic people built from census data, each with a personality, a job and their own news.
Then we recruit from it. Your brief filters the population. It never writes the people.
So when the real audience skews, ours skews with it.
TestScreen by FishDog. See the audience reaction before you spend.