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Rehearsals

Test creative, pricing and messaging against digital twins of real customers in thousands of parallel simulations

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paidMarketed as the first self-serve simulation platform with a pricing page in the site navigation, but the tier table renders client-side and returned no readable figures to a plain fetch, so no numbers are recorded here rather than guessed.View full pricing →

Visit Rehearsals

https://runrehearsals.com/

About Rehearsals

Rehearsals is a self-serve simulation platform that answers marketing and product questions against digital twins of real customers instead of waiting on a research cycle. You start by talking to a voice agent, and each Rehearsal runs thousands of simulations in parallel to predict how people would actually act or react. It is natively multimodal — upload a video, a deck, a product concept or a rough sketch and test it directly, rather than describing it in a survey question. Results land in a docs-style collaborative document your team reviews within a day, where anyone can comment and tag the agent to ask follow-ups, spin up new simulations or generate visualisations without leaving the thread. The company leans hard on transparency as the answer to the obvious objection: every Rehearsal exposes the underlying simulations, the individual conversations, the participant profiles and the reasoning behind each answer, so a result can be interrogated rather than taken on faith. Published capability areas are conversion research, ad creatives, churn analysis, competitive analysis and audience discovery, and it integrates with Slack and with ChatGPT and Claude over MCP. Rehearsals is a seven-person team and the entry point is a voice conversation rather than a form — you talk to the agent to scope the study, which is a deliberate contrast with the survey-builder interfaces the category usually ships.

Key Features

Thousands of parallel simulations per question
Upload video, decks, concepts or sketches to test directly
Docs-style collaboration with the agent tagged in comments
Full transparency into simulations, profiles and reasoning
Slack plus ChatGPT and Claude MCP integrations

Rehearsals Pros & Cons

Pros

  • +Turnaround measured in hours rather than a research cycle
  • +Exposes its own reasoning, which most synthetic-research tools do not

⚠️ Cons

  • No readable published pricing
  • Simulated respondents are a proxy, not a substitute for real buyers

Tags

synthetic researchmarket researchad testingchurnmcp
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