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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Cross-channel customer engagement · PUBLIC RESEARCH BRIEF

BrazeWhich customer moment deserves the next message — and which should stay quiet?

Braze's current platform overview describes a data platform, Canvas journey orchestration, cross-channel touchpoints and BrazeAI capabilities. It also describes segmentation, message editing, surveys, forms, gamification, in-product experiences and two-way conversations. This brief studies when a signal justifies a journey action and when suppression is the better decision.

Updated 2026-09-27 · 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.

When two Braze journey triggers arrive close together, would a priority rule that suppresses the lower-value message or a combined message create the more understandable customer experience? Use synthetic profiles and fixed consent states.

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For a customer who has recently ignored one channel, would switching channels immediately or waiting for a stronger signal be the safer next action? Compare relevance, perceived pressure and consent comprehension without sending anything.

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Before BrazeAI changes a journey path, would a concise decision rationale or a side-by-side preview of the original and proposed path help marketers catch more inappropriate actions? Include sparse, conflicting and stale customer signals.

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PROPOSED AUDIENCE

Who should weigh in?

North American consumer-brand lifecycle, growth, CRM and product teams evaluating or using Braze. Include campaign strategists, channel owners, product managers, analysts, marketing operations, data partners and consent or governance reviewers. Recruit authorized adult employees. Proposed audience; no engagement, conversion or revenue outcome is implied.

TWO TIME HORIZONS

Trial today. A habit tomorrow?

Near term · 0–90 days

Over 0–90 days, run controlled journey, suppression and channel-choice tasks with synthetic profiles, sandbox campaigns, approved copy and fixed consent rules. Measure inappropriate sends, duplicate actions, rule inspection, consent errors, marketer overrides and comprehension. Do not activate production audiences or channels.

Longer term · 3–12 months

Over 3–12 months, follow approved teams as signals, channels, campaigns and consent change. Examine journey collisions, fatigue, stale segments, suppression failures, AI overrides, experiment interpretation and operational maintenance. Engagement, conversion or revenue claims require observed customer behavior and controlled business outcomes.

What would make the result actionable?

Use versioned synthetic profiles, channel permissions, consent states, journey rules and known-correct suppression cases. Include missing, delayed and contradictory signals, blinded review and reversible sandbox destinations. Simulated preference is not proof of customer response or business value.

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

About Braze

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