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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Pet retail & recurring delivery · PUBLIC RESEARCH BRIEF

ChewyCan a delivery schedule flex without losing the customer?

Chewy describes Autoship as repeat delivery with customer-controlled scheduling and cancellation. Its FAQ distinguishes changing the recurring frequency from changing the next order date. This creates a practical research question: do shoppers understand how to adjust a shipment when their household still has supplies left?

Sources checked 2026-09-20 · 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 shopper considering Chewy Autoship for litter or waste bags, would explaining schedule flexibility or emphasizing eligible-order savings create better-informed interest? Show the same current terms and test understanding of recurring charges rather than counting clicks alone.

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If a Chewy Autoship shopper still has supplies left, would a proposed reminder that clearly separates changing the next order date from changing the ongoing frequency help them choose the intended action? Compare it with the current explanation and verify the resulting schedule.

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What would make a former Chewy Autoship shopper consider returning after deliveries arrived more often than needed? Use that situation as a recruitment criterion, not a claim about all cancellations. Compare a schedule-setting walkthrough with a promotional message while holding the underlying offer constant.

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PROPOSED AUDIENCE

Who should weigh in?

US adult shoppers who regularly buy non-medical pet supplies such as litter and waste bags. Include people considering Autoship, active users and former users, with single-pet and multi-pet households. Exclude prescription products, veterinary diets and health decisions. These are proposed research groups, not measured Chewy segments.

TWO TIME HORIZONS

Trial today. A habit tomorrow?

Near term · 0–90 days

Over 0–90 days, run consented tasks around an upcoming non-medical supply delivery. Observe whether shoppers can select the intended date, frequency or skip action and correctly explain what will happen next. Keep successful adjustment separate from continued ordering.

Longer term · 3–12 months

Over 3–12 months, examine repeat deliveries, schedule changes, cancellations and reactivation as household needs vary. A skipped shipment can reflect appropriate supply management rather than a failed relationship. Assess whether the service remains useful without assuming more frequent ordering is better for the customer.

What would make the result actionable?

Use opt-in household interviews and authorized order histories to compare intended versus actual schedules, unwanted deliveries, support contacts and cancellations. Separate promotional acquisition from durable use. A business case needs realized order contribution, fulfillment and support costs, and evidence of incremental demand rather than shifted purchase timing.

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

Public sources

Chewy Autoship benefits and scheduling FAQ ↗Current product page; checked 2026-09-20