--- title: "Minds Pricing Model: Definition and Cost Structure… | Minds" canonical_url: "https://getminds.ai/glossary/minds-preis-modell" last_updated: "2026-11-15T01:59:33.369Z" meta: description: "Learn everything about the Minds pricing model: Transparent cost per response with no expensive recruitment fees for synthetic audience research." "og:description": "Learn everything about the Minds pricing model: Transparent cost per response with no expensive recruitment fees for synthetic audience research." "og:title": "Minds Pricing Model: Definition and Cost Structure… | Minds" "twitter:description": "Learn everything about the Minds pricing model: Transparent cost per response with no expensive recruitment fees for synthetic audience research." "twitter:title": "Minds Pricing Model: Definition and Cost Structure… | Minds" --- Minds October 27, 2026·Glossary·Minds Team # **Minds Pricing Model: Definition and Cost Structure Explained** The Minds pricing model describes the usage-based cost structure for commercial synthetic market research powered by Minds PRISM. It enables flexible studies without recruitment fees. The Minds pricing model is a usage-based cost structure for synthetic market research where research teams pay per generated response instead of paying participant honorariums or recruitment fees. Built for the end-to-end Minds platform, it enables organizations to conduct qualitative and quantitative audience simulations flexibly, iteratively, and without traditional panel overhead. ## How the Minds pricing model works The model is anchored in a transparent billing unit: the simulated response. Every open-ended qualitative answer, scale rating, and quantitative evaluation within methods like MaxDiff consumes measurable units. On the Pay-as-you-go tier, the price is 0.12 euros or 0.12 US dollars per response. This includes unlimited workspace members, free viewers, and unlimited studies. Up to ten saved audiences with up to 200 Minds per audience are available in the base setup. Unlike traditional market research approaches, there are no upfront costs for fieldwork, incentives, quota surcharges, or participant drop-out compensation. Research teams upload stimuli such as concept copy, imagery, websites, app flows, or Figma prototypes and run surveys. The Minds PRISM compute engine processes these inputs through structured data sources and inference logic. Because the infrastructure supports unlimited user seats, cross-functional teams can collaboratively set up studies, run exports, and use integrations without running into per-seat license barriers. For higher-volume requirements, structured plans are available. The Pro plan at 199 euros monthly or 1,990 euros annually per named user includes a monthly allowance of 5,000 shared responses and 25 saved audiences. Enterprise agreements start at 15,000 euros annually excluding VAT for custom usage allowances and specific deployment requirements. Responses are always consumption-based rather than unlimited, ensuring costs scale strictly with actual research volume. ## A concrete practical example A consumer goods manufacturer based in Frankfurt am Main plans to relaunch an organic oat milk line and wants to evaluate four packaging designs and eight advertising claims. With a traditional market research firm, recruiting 600 verified consumers alongside screener questionnaires and incentives would cost several thousand euros and take weeks of lead time. Using the synthetic research environment, the team builds an audience of 200 synthetic consumer profiles reflecting diverse lifestyles, income brackets, and dietary habits. The team then runs a structured study consisting of a MaxDiff design for the claims and qualitative open-ended questions for the packaging concepts. The entire study generates 2,400 individual responses. Under the Pay-as-you-go model, the pure simulation costs total 288 euros. The team gathers directional insights into preference patterns and design flaws within minutes. Expensive revisions in later campaign phases are avoided, allowing physical testing budgets to be preserved specifically for validating the final winning concept. ## How Minds implements the pricing model in practice Minds delivers this economic model through a deeply integrated research platform. Powering every Mind is the Minds PRISM inference engine, which combines publicly available data sources with approved research context to generate consistent, grounded synthetic responses. Above this simulation layer, Minds provides full methodological breadth. Teams do not interact through isolated chat windows; instead, they run structured qualitative deep dives, single-choice, multi-select, and scale questions, as well as deterministic quantitative methods like MaxDiff on the same platform. The resulting data delivers directional, context-rich decision support for early-stage innovation. Specific requirements for data privacy, data residency, and security standards should be reviewed for each workspace context. Physical product testing, sensory studies, or representative probability sampling for regulatory filings remain outside the scope of synthetic simulations, but for upfront concept and message development, the Minds pricing model provides a predictable and resource-efficient alternative. ## Related terms - Response-based pricing: A billing model where costs are tied directly to the volume of data points generated. - Recruitment fee: A traditional market research cost for sourcing and screening human test subjects. - Minds PRISM: The foundational inference and modeling engine that consistently powers synthetic audiences. - MaxDiff analysis: A quantitative method for measuring relative preferences, natively executable within Minds. - Synthetic audience: A reusable cohort of up to 200 Minds ready for iterative questioning. - Pay as you go: A flexible usage model without monthly base fees, where credits are consumed on demand. ## Bottom line The Minds pricing model transforms cost calculations in consumer research by replacing expensive recruitment overhead with transparent, response-based simulations. Teams gain rapid clarity for strategic decisions at a fraction of legacy project costs. Create a free account at [getminds.ai](https://getminds.ai/?register=true) and book a demo to scale your audience research efficiently. ## Frequently asked questions ### What is the Minds pricing model? The Minds pricing model structures the cost of synthetic market research primarily around consumed responses rather than participant incentives or recruitment fees. Users pay for generated quantitative or qualitative responses from virtual Minds. This enables iterative studies with flexible quotas, while workspaces and study counts remain unlimited. ### How does the Minds pricing model differ from traditional panel costs? Traditional market research agencies charge steep upfront fees for participant recruitment, incentives, screeners, and project management. The Minds model completely eliminates recruitment and incentive costs. You are billed solely for the responses actually generated within the platform. ### When should you choose the Minds pricing model? The model is ideal for product management, marketing, and consumer insights teams that need fast, iterative concept testing or quantitative pre-testing like MaxDiff before committing budget to physical field studies. ### How should data privacy and deployment requirements be evaluated? Specific requirements regarding data privacy, hosting, server locations, and security policies must be evaluated individually for each workspace and enterprise context.