Pay for what you ask.
SCL credits run on the Person-Question system: asking one synthetic persona one question costs 1 Person-Question. Buy a package or pay as you go.
- Run simulations without buying credits
- Design with ready-made synthetic populations
- Ideal for exploring the core features
- No minimum purchase requirement
- Ideal for small tests and experiments
- Load credits, run instantly
- Lower unit cost advantage
- Can be split across different surveys
- Never expires — suited to long-term planning
- Lowest unit cost
- Higher data collection capacity
- Fastest access to insights
About pricing
Synthetic personas are digital twins built on demographic, socio-economic, and behavioral data inspired by real consumers. On the sampling screen you can choose any combination of attributes, or use a ready-made sample that matches Türkiye's population distribution. They are not real consumers — they simply behave remarkably like the real thing.
In quantitative and multiple-choice studies, SCL results are regularly benchmarked against real field data and deviation margins are calculated. In qualitative studies, a topic-overlap method matches real research findings with SCL outputs on a theme-by-theme basis.
It depends on the research type: quantitative reports include demand and revenue curves with breakdowns by segment, income, education, and age; qualitative reports include summaries of findings, clustering, and theme and sentiment analyses; multiple-choice reports include frequency and breakdown tables. All analyses are available directly on your screen.
A focus group can be run with even a single synthetic persona. For other research types, we recommend a sample of at least 100 personas.
Quantitative research relies on numerical data: pricing tests, willingness to pay, A/B tests. Qualitative research focuses on understanding opinions, preferences, and behaviors in depth: focus groups, customer journey analyses.
Within minutes. The moment your research is complete, the report appears on your screen — no waiting, no scheduling.