Synthetic personas are just the start. The difference is what surrounds them — calibration, confidence scoring and an open methodology.
Create individual personas or entire panels matching your target audience — demographics, behavior, context. Panels can be saved and reused across studies.
Connect a Meta Ads or Google Ads account and Senthiq continuously compares simulated results with real campaign performance. The model tunes itself over time — accuracy grows with every campaign.
Every insight carries a confidence score derived from answer consistency, calibration quality and domain coverage. The scoring methodology is openly documented right next to the result.
Personas react independently and in parallel — no shared answers, no herd mentality. The result is a real distribution of opinions, not one averaged voice.
Synthetic respondents tend to be overly positive and agreeable. Senthiq measures this systematic error and actively corrects it — results reflect critical voices too.
A shareable PDF report with methodology and confidence scores, CSV with raw data, or a live dashboard for your team and clients.
Trigger simulations straight from your own tools and pipelines. REST API with result webhooks — available on the Enterprise plan.