How Do Minds Costs Compare to Panels?

Minds replaces fixed project budgets from traditional panels with usage-based billing starting at 0.12 euros per response or fixed Pro allowances from 199 euros per month. This eliminates participant recruitment and incentive costs entirely. The resulting research findings are directional and context-dependent, helping teams identify flawed assumptions cost-effectively before launching expensive physical field studies.

The overview below outlines the economic differences, typical cost structures, and practical boundaries of both approaches for marketing, insights, and product teams.

Who This Cost Comparison Is For

This guide is intended for procurement leads, CMOs, UX research leads, and heads of market research evaluating agency proposals for traditional panel surveys. In many organizations, spending on recurring concept tests, campaign screenings, and UI feedback exceeds the available budget. When teams face the choice between commissioning expensive field studies or skipping grounded preliminary testing altogether, the economic modeling of synthetic target audiences provides a clear basis for decision-making.

Cost Breakdown: Traditional Panels vs. Synthetic Simulation

Traditional market research typically operates with fixed cost blocks per project. When a team wants to test five positioning concepts or multiple Figma click paths, a traditional panel quote consists of the following line items:

1. Setup and questionnaire programming by the agency
2. Screening costs to identify the target audience
3. Incentives and honorariums per respondent
4. Minimum sample order quantities
5. Additional surcharges for qualitative open-text coding or complex methods like MaxDiff

In total, traditional ad-hoc studies often run into four- or five-figure euro sums, even when validating only a small set of hypotheses. Every subsequent adjustment to the stimulus or follow-up question requires booking additional participant time.

Minds restructures this process from the ground up. The system is built on the Minds PRISM engine, which models synthetic target audiences from provided contexts, documents, or links. Because no real humans need to be recruited and compensated, all variable recruitment and incentive expenses disappear.

The pricing structure of Minds is linear and transparent:

• Pay-as-you-go: 0.12 euros or 0.12 US dollars per response. The balance is flexibly shared across the team and does not expire at the end of the month. It includes unlimited workspace users, free viewers, up to 10 saved audiences with 200 Minds each, all research methodologies, exports, API, and MCP access.
• Pro: 199 euros per user per month or 1,990 euros per year, including VAT. This plan includes 5,000 shared responses per user per month as well as 25 saved audiences per licensed seat.
• Enterprise: Tailored agreements starting at 15,000 euros per year plus VAT for organization-wide rollouts with extended contractual and security options.

Registration on Minds is free, but does not include free credits or trial runs. Launching studies requires purchased responses.

Cost Comparison Across Research Scenarios

In practice, relative savings depend on the specific research design. The following table illustrates typical cost structures across different survey formats.

Pros and Cons of Each Approach

Traditional Panels

Pros:

• Captures real human behavioral data along with biometric or sensory responses.
• Delivers statistically representative samples for regulatory or public policy questions.
• Essential for definitive price elasticity studies and final validation before major capital commitments.

Cons:

• High financial barriers to entry per test run.
• Long turnaround times ranging from several days to weeks.
• Restricts iterative intermediate steps during early development phases.

Minds (Synthetic Target Audiences)

Pros:

• No participant honorariums and zero waiting time for fieldwork phases.
• Enables continuous testing directly inside the sprint cycle (e.g., during UX wireframing or campaign development).
• Covers qualitative and quantitative workflows such as scales, open text, and MaxDiff in one platform.
• Flexible scaling via shared response credits without long-term lock-in on the PAYG plan.

Cons:

• Results are directional and context-dependent, not statistically representative in an absolute sense.
• Not suitable for physical product testing (sensory, haptics) or clinical trials.

When Minds Is the Right Choice and When It Isn't

Minds is ideal for scenarios where teams want to validate assumptions prior to final budget sign-off. Typical indicators for using Minds include:

• The marketing team needs to test 15 value proposition variants against one another before committing to heavy media spend.
• Product teams want to evaluate click paths and prototypes from Figma to uncover usability friction ahead of software development.
• The insights team needs to refine hypotheses to optimize the questionnaire for a later representative field study.

Conversely, Minds is not the right tool for clinical trials, statutory approval processes, political polling, or final price elasticity measurements requiring a strictly representative sample. In those instances, traditional panels remain recommended, while Minds handles the upfront concept and iteration phases.

Optimizing Budget Planning and Getting Started

By pairing flexible response pricing with comprehensive methodological capabilities like MaxDiff, teams can manage market research spend with precision. Instead of launching every idea untested or running every early concept through expensive field panels, teams leverage Minds for grounded upfront evaluation.

Create a workspace account and configure your first target audiences directly on the platform: Sign up for Minds.