From Synthetic Data to Reality

Synthetic Consumer Lab is an AI-driven platform built on interactions between digital personas, designed to mirror real consumers, and SCL’s proprietary large language model, which is fine-tuned to model consumer behavior and continuously updated.

Create Persona

Create synthetic personas that represent your target consumer group by using a variety of social, economic, and demographic attributes.

Set Up Your Study

After selecting your synthetic personas, choose the type of research. Design qualitative focus groups or quantitative pricing studies.

Prepare Your Questions

Once your synthetic personas and survey designs are ready, define the questions you want to ask.

Survey & Reporting

Review your research results within minutes and access AI-powered automated report analyses.

How It Works

From Synthetic Data to Real Insight

Set the Method

Our SCL models can analyze consumer preferences, predict market trends, and identify potential purchasing behavior with a level of speed and flexibility never before possible — using quantitative or qualitative studies easily designed by the user.

Set the Method

Top Questions After 1,000 Simulations

The most frequently asked questions from other SCL users before getting started.

The report format varies depending on the type of research conducted. All analyses are presented to users at the final stage directly on the platform.

Quantitative Reports Include:

  • Demand curves
  • Revenue curves
  • Breakdown tables by segment, income, education, and age

Qualitative Reports Include:

  • Summary texts highlighting synthetic consumer responses and key findings
  • Segmentation and clustering analyses
  • Lists of core themes and concepts perceived positively or negatively by consumers
  • Topic-based sentiment analyses

MCQ (Multiple-Choice Question) Reports Include:

  • Frequency analyses
  • Breakdown tables by segment, income, education, and age

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