Overview1. Configure market2. Consumer agents3. Competitors4. Intervention5. Run simulation6. Results7. Compare scenarios
Research prototype

Rehearse a market before you run the real experiment.

Populate a digital subscription market with synthetic consumers and competitor agents, apply a pricing or marketing intervention, and see how — and why — outcomes shift across rounds and replications.

Start from configuration

Workflow

  1. 01
    Configure market
    Size, growth, economy, horizon
  2. 02
    Generate agents
    Heterogeneous consumer personas
  3. 03
    Configure competitors
    Products, prices, strategies
  4. 04
    Design intervention
    Control vs treatment
  5. 05
    Run simulation
    Rounds × replications
  6. 06
    Explore results
    Metrics, agents, explanations
  7. 07
    Compare scenarios
    Side-by-side lifts

How to read this tool

Every number is labelled by where it comes from:

Real dataSynthetic agentsSimulated outcomeModel assumptionEstimated effect

Decision model

Model assumption

U(agent, product) = −w₁·price/WTP + w₂·quality + w₃·brand affinity + w₄·promotion + w₅·awareness − w₆·switching cost + ε

Choices are sampled from a multinomial logit. Same seed ⇒ same results.