Live
Audience Lab
Make the target-group hypothesis defensible before architecture or a campaign costs money
Audience Lab builds personas from data — milieu models, income and life-stage distributions for the location — and forecasts demand by product type, combined with your own demand signals like search volume, portal indices and waitlist. Synthetic panels let AI personas react to concept drafts, floor plans, prices and brand ideas in hours; real panels validate the last stretch through survey tools and your own waitlist. The persona then hands off as a data object to Brand Studio for tone, Reach for channel choice and Close for prioritization. Crucially, Audience Lab calibrates synthetic forecasts against real closing data from operating VipeOS projects — a training signal a pure panel vendor can't reach.
Features
- Data-built personas from milieu and demand data
- Demand forecasting by unit type, size and price band
- Synthetic panels reacting to concept variants in hours
- Real-panel validation via surveys and waitlist
- Persona handoff to Brand, Reach and Close
- Plan-versus-actual calibration from live projects