What is synthetic research?

Synthetic research uses AI-powered personas that simulate how real buyers, customers, or market segments would respond to your research questions. It produces directional signal — insights to sharpen your hypotheses — before you invest in real primary fieldwork. Gather Synthetic runs AI-moderated interviews across any audience archetype in minutes, not weeks.

How is synthetic research different from real research?

Synthetic research generates directional signal using AI personas, while real primary research collects data from actual people. Synthetic pre-research is faster (minutes vs. weeks), cheaper, and ideal for hypothesis generation and stakeholder alignment. It is not statistically valid and should be used to focus and prioritize real fieldwork, not replace it. Gather offers both synthetic pre-research and real AI-moderated interviews with actual respondents.

What types of research can Gather Synthetic run?

Gather Synthetic supports 14 study types: Brand Perception, Product Feedback, Concept Testing, Competitive Intelligence, CX/NPS Deep Dive, Messaging & Claims Testing, Win/Loss Analysis, Market Segmentation, Pricing Research, Ad & Creative Testing, Customer Journey Mapping, Feature Prioritization, Churn & Retention Analysis, and Audience Discovery.

How much does synthetic research cost?

The first 5 synthetic interviews are free. After that, B2C audience interviews cost $0.50 each and B2B audience interviews cost $5.00 each. There is no subscription required.

How accurate is synthetic research?

Synthetic research is directional, not statistically accurate. Predictive accuracy and a statistical interval are only shown when established for the specific result. Treat findings as educated hypotheses to validate with real primary research, not as definitive measurements.

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Digital experience analytics · PUBLIC RESEARCH BRIEF

ContentsquareWhen does a replay reveal friction instead of just an anecdote?

Contentsquare describes Session Replay as a way to view clicks, hovers, scrolls and errors, connect replays with journeys, heatmaps and feedback, and prioritize issues. Its page also says privacy and data security are important implementation considerations. An individual replay can illustrate a problem but cannot establish its prevalence or business impact.

Updated 2026-10-18 · Simulation results not yet generated

Test a question in Gather ↗Explore fictional demo →

CHANGE ONE THING. LEARN WHAT MATTERS.

Three questions for the GTM team.

For Contentsquare, what evidence should accompany a session replay before a product team prioritizes a fix: frequency, affected segment, journey location, error telemetry, feedback or estimated business exposure?

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How should teams distinguish a visually striking one-off replay from a repeatable friction pattern that merits investigation?

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Would product and engineering teams resolve an issue faster from a replay alone, a replay paired with technical errors or a replay paired with an aggregated journey comparison?

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PROPOSED AUDIENCE

Who should weigh in?

North American digital product managers, UX researchers, conversion teams, engineers, analysts, privacy reviewers and support leaders evaluating Contentsquare. Include people who discover, quantify, diagnose and fix digital issues. Proposed audience only; no real session recording, form input or user identifier is included.

TWO TIME HORIZONS

Trial today. A habit tomorrow?

Near term · 0–90 days

Over 0–90 days, create synthetic sessions with known one-off behavior, recurring friction and seeded technical errors. Compare diagnosis, prioritization, privacy review and handoff quality across evidence combinations; record no real visitor.

Longer term · 3–12 months

Over 3–12 months, follow approved workflows through releases, changing page structures and recurring alerts. Study false positives, issue recurrence, access discipline and whether teams validate fixes with aggregate behavior and user research.

What would make the result actionable?

Use scripted synthetic journeys, known error logs, event frequencies, privacy-masking checks, role-based access, issue tickets and predefined severity criteria. Validate prevalence with aggregate telemetry and validate causality with controlled changes or complementary research, not replay interpretation alone.

A Gather simulation returns hypothetical customer reactions. Quantifying revenue, traffic or retention needs actual business inputs and validation against observed behavior.

About Contentsquare

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