Define the concept
Capture the product, target market, problem, solution, pricing, and the assumption you need to test.
AI market simulation
Simulmarkt turns a product idea and a target audience into a structured market simulation, so teams can see where support is real, where skepticism shows up, and which bets deserve commitment.
Synthetic audience members supported the concept when the product solved time pressure clearly and pricing felt justified relative to alternatives.
Why it matters
Teams commit roadmap time, inventory, campaigns, and regional launches before real demand is visible. Simulmarkt gives them a faster read on whether a target audience is likely to support the core assumption behind the bet.
How it works
Capture the product, target market, problem, solution, pricing, and the assumption you need to test.
Build a structured audience profile across roles, environments, motivations, frustrations, and skepticism levels.
Run the simulation and review support rate, strongest segments, rejection patterns, and persona-by-persona reasoning.
Use cases
Test whether a proposed feature actually changes perceived value for the audience you care about.
Compare early-stage product ideas before you spend on build, launch, or go-to-market motion.
Pressure-test product-line assumptions before committing stock and campaign weight.
Explore whether a new segment or region responds to the same value story or rejects it for a different reason.
Decision output
The product workflow in Simulmarkt already centers on concept creation, synthetic audience definition, run execution, and a saved decision report. The site sells that directly: a recommendation, support rate, segment patterns, and persona-level reasoning you can discuss with a team.
Pricing snapshot
Next step
The first demo should show how Simulmarkt handles your concept, audience logic, and the kind of decision report your team actually needs.