Synthetic data generation for replicating market trends and behavioural insights

Fix Your Broken Research Cycle

Today, companies spend weeks — and thousands — running studies, only to discover:

  • Concepts nobody wants
  • Messages nobody understands
  • Journeys nobody completes
  • Segments they misunderstood
  • Insights that contradict earlier work
the inevitable question appears: “Why didn’t we catch this earlier?” Because we only test with real people at the very end — when it’s already expensive, slow, and painful to change direction.

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Test & Adapt Your Ideas Early

Before committing budget, time, and recruitment, teams can:

  • Stress-test an idea
  • Anticipate confusion
  • Predict barriers
  • Explore alternatives
  • Understand segment-specific reactions
  • No need to spend time and money recruiting real participants first.
  • Remove the bottleneck that is holding insight teams back.
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Privacy-compliant synthetic datasets ensuring GDPR-safe market research
Terapage: online qualitative and quantitative market research platform

Custom synthetic dataset settings for targeted market research analysis

Terapage Synthetic Persona Engine

For the first time, researchers gain access to behavioural simulation — an intelligent pre-research layer that sits before live fieldwork. Terapage generates synthetic participants that respond as if they were real people — grounded in real-world behavioural patterns, not random text generation. This is not fake data. This is simulated human behaviour.

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Synthetic participants for every research activity

Terapage can generate synthetic responses across the entire research stack, including: Journal activities, Text tasks, Fill-in-the-blanks, Review an Image, Review an Audio, Review a Video, Polls & Surveys, Rank-it & sort-it, Matrix questions, Automated interview activities, Document reviews, Conversations & forums, Image uploads, Audio uploads, Video uploads and more. Every task behaves as if completed by a real participant — producing both qualitative and quantitative outputs.

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Using synthetic data to pre-test research tasks and validate study methodologies
Terapage: online qualitative and quantitative market research platform

Predictive modeling with synthetic data for future market scenario planning

What Our Synthetic Persona Engine provides

  • AI personas grounded in real behavioural patterns
  • Segment-specific decision-making models
  • Synthetic reactions to concepts, messaging, UX, and products
  • Realistic qualitative explanations
  • Quantitative simulation outputs
  • Predictive friction and opportunity analysis
  • Rapid iteration cycles — minutes, not days

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What you can do instantly

  • Pre-validate early-stage concepts
  • Identify weak ideas before spending budget
  • Test many ideas in parallel
  • Optimise surveys and discussion guides
  • Anticipate segment-specific reactions
  • Generate “what might happen” insights
Synthetic personas don’t replace real people — they protect your budget by narrowing your pipeline to ideas with the highest potential.

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Synthetic data platform integration with research tools and workflows
Terapage: online qualitative and quantitative market research platform

Real-time synthetic data generation for agile market studies

This is a game-changer

Companies using synthetic personas can:

  • Cut early-phase research costs by 50–70%
  • Reduce timelines by 2–4 weeks
  • Improve success rates of concepts entering live studies
  • Eliminate poor-performing ideas early
  • Improve insight quality downstream
  • This is not a gimmick. This is the future of insight work.

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How it fits into your workflow

Synthetic data integrates seamlessly into your existing Terapage research flow.

  • Simulate → Test → Learn → Activate
  • Run synthetic feasibility screens
  • Select the strongest ideas
  • Validate with real participants
  • Activate insights with confidence

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Scalable synthetic data solutions for small to enterprise-level studies
Terapage: online qualitative and quantitative market research platform

Extra services to ensure that you succeed

We understand that our platform may need to be supported with both the standard and optional packages in order to help you succeed in the research, that is why we offer valuable services that are customised according to the needs of your research.

Terapage: online qualitative and quantitative market research platform
Terapage: online qualitative and quantitative market research platform
Terapage: online qualitative and quantitative market research platform

Try Our Synthetic Data Platform for Free

Empower your team to test, train, and simulate using synthetic data that protects privacy and boosts speed. Get started for free—no credit card required.

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Frequently asked questions!

What is a Synthetic Data Platform?

A synthetic data platform generates artificial data mimicking real-world behaviors. Terapage’s platform creates privacy-safe synthetic datasets for market research, ensuring GDPR compliance and enabling secure testing and analysis without sensitive data.

How Quickly Can Terapage Generate Synthetic Data?

Terapage generates synthetic data in real-time, delivering datasets within minutes based on study needs. This speed empowers market researchers to test hypotheses and adapt studies quickly, ensuring efficient and agile research.

What Sets Terapage Synthetic Data Apart From Traditional Methods?

Unlike traditional methods, Terapage’s AI-driven synthetic data platform offers customizable, privacy-safe datasets with real-time generation and scalability. It integrates seamlessly with workflows, making market research faster and more innovative.

Can Terapage Synthetic Data Be Tailored for Specific Demographics or Insights?

Yes, Terapage customizes synthetic datasets for specific demographics, behaviors, or market segments like age or purchasing habits, ensuring highly relevant and actionable insights for market research goals.

How Does Synthetic Data Generation Support Market Research?

Terapage’s synthetic data generation provides privacy-safe, scalable datasets for market research. It supports pre-testing, predictive modeling, and blending with real data, enabling researchers to optimize studies and predict market trends efficiently.