Run Rehearsals
Rehearsals is a simulation platform that lets product and marketing teams test business decisions against AI twins of real consumers. Users upload videos, decks, sketches, or other assets, and the platform runs thousands of parallel simulations in minutes rather than the weeks traditional research requires. It reports roughly 92% accuracy in predicting real consumer behavior across pricing, ad creative, and conversion scenarios.
- Artificial Intelligence
- Data & Analytics
- AI Agents
- Software Only
Funding
Funding not disclosed
across 1 round
FFLKFounders
Product
Problem
Traditional user research is slow and expensive, with interviews costing $20,000 or more and taking 4–12 weeks from planning to final output. Stated-purchase-intent surveys explain only 5–15% of actual buying behavior, and consumers routinely overstate intent by 2–5x, making it difficult for teams to predict how real people will react to pricing, messaging, or product changes.
Solution
Rehearsals provides a self-serve simulation platform that runs thousands of parallel simulations against AI twins of real consumers to predict how people take action or react to change. The system uses deep individual interviews backed by behavior economists, demographic calibration to match U.S. census distributions, and continuous validation against real-world outcomes to capture individual taste and context rather than demographic stereotypes. Users can upload videos, decks, product concepts, or rough sketches, and the platform returns willingness-to-pay distributions, friction points, creative winners, and other decision-ready outputs in a few hours. Teams can also run Rehearsals directly from Slack, ChatGPT, or Claude through an MCP connector, with full data transparency showing simulations, conversations, and reasoning behind each answer.
Target Audience
Primary users are marketing, growth, product marketing, consumer insights, strategy, and executive teams at consumer brands, startups, and enterprises making decisions about pricing, ad creative, product launches, conversion flows, churn, and competitive positioning.
Features
- Rehearsals twins are built from hour-long voice and video interviews plus outcome data, capturing the "why" behind decisions including emotion, context, tradeoffs, and memory
- Multimodal input support for videos, store layouts, decks, Figma mocks, screenshots, and rough sketches
- Thousands of parallel simulations per Rehearsal run in a few hours to less than a day
- Runs as a chat agent in Slack, ChatGPT, or Claude via an MCP connector, with follow-up questions and iteration supported
- Proprietary revealed-preference engine demonstrates over 30% better prediction on social and video ad content than frontier LLMs and 91.1% distribution accuracy versus 76% for Gemini and 62.7% for GPT-5.2 in a Disney+ pricing simulation
- First-party research panel at rehearsalsresearch.com with explicit participant consent and the option to incorporate first-party customer data