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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Audio subscriptions & audiobook listening · PUBLIC RESEARCH BRIEF

SpotifyDo listeners understand the hours before they start the book?

Spotify's US audiobooks page describes monthly audiobook listening time in eligible Premium plans, separate add-ons and an Audiobooks Access plan. It also explains that unused monthly hours expire. This creates a research question about choosing a plan and starting a title with a realistic understanding of how listening time works.

Sources checked 2026-09-21 · Simulation results not yet generated

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CHANGE ONE THING. LEARN WHAT MATTERS.

Three questions for the GTM team.

For a Spotify listener choosing an audiobook option, would a simple plan comparison or a worked example showing how monthly listening hours apply to one title produce better understanding? Use current terms and test whether the listener can explain eligibility, expiration and additional options.

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Before starting a long Spotify audiobook, would showing the title's remaining duration against available monthly hours help the listener choose when to begin? Treat that display as a proposed concept, not an existing feature, and separate understanding from willingness to upgrade.

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When a listener approaches the monthly limit, which current option feels most appropriate for the immediate goal: wait for the next cycle, use an eligible add-on or purchase the title? Verify the respondent's actual plan eligibility and avoid presenting one choice as universally better.

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PROPOSED AUDIENCE

Who should weigh in?

US adults who listen to audiobooks or are considering their first audiobook on Spotify. Include eligible Premium plan managers, plan members whose access differs, add-on prospects and people comparing an Audiobooks Access plan with purchasing a title. Recruit adults only. Proposed audience groups; no market share or conversion rate is implied.

TWO TIME HORIZONS

Trial today. A habit tomorrow?

Near term · 0–90 days

Over 0–90 days, recruit adults with verified current plan types and give them realistic title-selection and limit scenarios. Measure correct plan comprehension, qualified starts, help-seeking and any plan action separately. Do not count a promotional trial as durable audiobook use.

Longer term · 3–12 months

Over 3–12 months, follow opt-in listeners across multiple monthly cycles. Examine starts, completions, unused hours, limit encounters, add-on continuation and plan changes. Separate seasonal listening and a single anticipated title from an enduring preference for audiobooks.

What would make the result actionable?

Use current US plan terms, consented account events and title-duration data. Compare stated understanding with actual listening and billing outcomes, controlling for plan role and catalog eligibility. A retention or revenue case requires observed contribution, trial cost and substitution across Spotify options; simulated choice is not payment behavior.

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

Public sources

Spotify US audiobooks plans, listening hours and add-ons ↗Current product page; checked 2026-09-21