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.

← All brands

B2C marketing automation & customer data · PUBLIC RESEARCH BRIEF

KlaviyoWhich automated customer moment should a marketer trust first?

Klaviyo's current marketing-automation page describes automated experiences across email, SMS and mobile push, unified customer profiles, AI-assisted campaign and flow creation, audience segments and integrations. This brief studies where automation should begin and what evidence and approval a marketer needs before a message reaches a customer.

Sources checked 2026-09-26 · 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 a new Klaviyo lifecycle flow, would a marketer trust AI to draft the journey logic first or draft the individual messages first? Compare reviewer corrections, missing exceptions, brand alignment and approval effort using synthetic customer events.

Set up this study →

When a Klaviyo segment is built from unified profile data, would field-level evidence for why a person qualifies or a concise segment description help marketers catch more inappropriate inclusions before activation? Include stale, conflicting and missing data.

Set up this study →

For a coordinated email, SMS and push sequence, would customer-controlled channel preference or marketer-defined cadence produce a more acceptable experience under the same offer? Test with hypothetical schedules and verified consent rules; do not send messages.

Set up this study →

PROPOSED AUDIENCE

Who should weigh in?

North American retail, ecommerce, restaurant and consumer-brand marketing teams evaluating or using Klaviyo. Include lifecycle marketers, CRM owners, creative and brand reviewers, analytics partners, customer-service stakeholders and data or privacy administrators. Recruit authorized adult employees. Proposed audience; no revenue, retention or engagement outcome is implied.

TWO TIME HORIZONS

Trial today. A habit tomorrow?

Near term · 0–90 days

Over 0–90 days, run controlled flow, segment and cadence exercises with synthetic or approved de-identified profiles, current consent rules and sandbox integrations. Measure logic errors, inappropriate inclusions, reviewer edits, brand deviations, safe suppression and approval burden. Do not activate campaigns or contact customers.

Longer term · 3–12 months

Over 3–12 months, follow approved workflows as products, audiences, consent and channel availability change. Examine segment drift, over-messaging, suppression failures, stale creative, automation maintenance and customer complaints. Revenue, retention or deliverability claims require observed campaign outcomes and controlled comparisons.

What would make the result actionable?

Use versioned profiles and events, documented identity and consent rules, current channel configuration and independent review of every proposed recipient and message. Minimize personal data, test only in a sandbox and require human approval before activation. Simulated willingness is not proof of consent, deliverability or commercial impact.

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

Public sources

Klaviyo marketing automation across channels, profiles, flows and segments ↗Current product page; checked 2026-09-26