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. Confidence scores reflect internal AI response consistency, not statistical significance. Quantitative projections carry a ±15–20% margin of error. Treat findings as educated hypotheses to validate with real primary research, not as definitive measurements.

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B2B customer platforms · PUBLIC RESEARCH BRIEF

HubSpotWhat makes a platform worth switching for?

HubSpot describes a customer platform spanning marketing, sales and service, with Smart CRM as a shared foundation and AI agents across the platform. Its product positioning creates a useful research question about consolidation, migration effort and proof of business value.

Sources checked 2026-09-18 · 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 HubSpot, would a platform consolidation message or an AI outcomes message better earn a buying-committee discussion? Ask marketing, operations and IT separately; hold product capabilities constant.

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Which migration concerns would stop an established company from evaluating HubSpot, and what proof would make a pilot credible? Do not invent migration timelines or integrations.

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What would make a company expand from one HubSpot product to a broader customer platform? Separate end-user interest, administrator feasibility and economic-buyer approval.

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PROPOSED AUDIENCE

Who should weigh in?

North American marketing, revenue operations, sales operations and IT leaders at companies with 200 or more employees evaluating CRM or customer-platform consolidation. Include economic buyers, administrators and end users; do not assume a single person decides for an account.

TWO TIME HORIZONS

Trial today. A habit tomorrow?

Near term · 0–90 days

Test whether the message earns a shortlist or a pilot discussion, and identify the stakeholder most likely to object. Interest in AI is not purchase authorization.

Longer term · 3–12 months

Explore expansion only after adoption, data quality and cross-team coordination meet expectations. Treat a buying committee as several roles within an account, not independent customers.

What would make the result actionable?

Follow actual account progression, pilot completion, implementation effort and expansion. Model economics using account-level pipeline, migration cost and realized product usage, rather than persona counts.

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

Public sources

HubSpot customer platform ↗Current product page; checked 2026-09-18

HubSpot CRM product information ↗Current product page; checked 2026-09-18