Fast, Tailored Insights—On Demand.
Clarinova provides on-demand synthetic audiences, for more relevant feedback without the time or cost of traditional research.
1
Define the audience
Build your synthetic audience
Start with a universe of synthetic people that reflects the real customers, segments, or market you need to understand.
- Model your own customers from first-party audience data.
- Use a pre-built U.S. audience with demographic, behavioral, attitudinal, and personality data.
- Filter by attributes so each study starts with the right people.
Output: A realistic audience model you can return to for repeated research.

2
Shape the group
Set up AI focus groups
Create a focused group for the decision in front of you, from a quick directional read to a deeper qualitative study.
- Choose a small group of 1-10 synthetic participants.
- Select randomly from your universe or filter for specific attributes.
- Reuse the same group over time to track evolving feedback.
Access: A consistent, target-specific group that is ready when your team needs input.

3
Run the conversation
Talk to participants
Ask the questions that matter, then follow up the way you would in a live qualitative session.
- Run in-depth studies, quick probes, concept tests, or creative reviews.
- Share images and ask participants to respond from their own perspective.
- Collect ratings alongside open-ended qualitative feedback.
Experience: Fast, focused conversations without scheduling, recruiting, or coordination.

4
Make the decision
Analyze results
Turn qualitative feedback into a clear read on what to refine, prioritize, or test next.
- Review rapid responses to identify themes and friction points.
- Use AI-assisted analysis alongside your research brief.
- Export transcripts and plug findings into your existing workflow.
Outcome: Faster decisions and better next steps at every stage of development.

Unlock the power of your audience today.
Ready to co-create with feedback from your target audience? Move faster with synthetic audiences from Clarinova.
