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What is Rehearsals?

Rehearsals is a cutting-edge, online platform tailored for consumer research and decision-making simulations, aimed at marketing, product development, and research groups. It empowers users to pose a business question and select a target demographic, enabling the execution of simulations with AI-generated avatars that represent consenting individuals from Rehearsals’ exclusive panel. This adaptable tool supports the evaluation of various factors such as advertising strategies, creative concepts, messaging efficiency, pricing structures, product designs, user experience ideas, customer retention, product combinations, and audience inclinations. Teams can delve into group feedback, compile supporting evidence, and extract insights from context and reports generated by participants, while also having the option to use follow-up inquiries to explore different scenarios. Rehearsals provides its simulation features through an intuitive web interface and integrates effortlessly with well-known collaboration platforms like Slack, Microsoft Teams, Claude, and ChatGPT, in addition to offering further API and MCP solutions. This innovative product equips teams to assess customer feelings and reactions before making pivotal marketing or product decisions; nevertheless, it is crucial to remember that the simulated responses may not accurately forecast real-world market outcomes. Moreover, Rehearsals stands out as an essential tool for teams striving to base their decisions on simulated consumer insights, enhancing their overall strategic approach.

What is Panelyst?

Panelyst converts queries regarding products, pricing, or marketing strategies into a carefully structured synthetic audience evaluation. Choose a specific target demographic from either the UK or US and outline a research objective; then, assess the survey methodology, dissect the panel composition, analyze each individual response, evaluate the distribution of those responses, and summarize the results while noting any potential constraints. This strategy enables the exploration of ideas, comparison of different options, validation of messaging, scrutiny of pricing approaches, or gaining a deeper understanding of an audience before committing further time and financial resources. The first in-depth study is available entirely free of charge, with no credit card requirement, while additional research is priced on a pay-as-you-go basis starting at just $5, eliminating any necessity for a subscription, thereby making it accessible to a variety of budgets. By leveraging Panelyst, businesses can not only make well-informed choices but also ensure that their marketing initiatives are closely aligned with the expectations of their target audience. Furthermore, this resource empowers companies to adapt their strategies based on real-time feedback and insights, ultimately enhancing their market presence.

Media

Media

No images available

Integrations Supported

ChatGPT
Claude
Claude Duet
Microsoft Teams
Model Context Protocol (MCP)
Slack

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Plans are priced by twin interview volume and include unlimited seats. Each twin interview credit covers one twin answering up to 20 questions. Plans vary by monthly volume, governance, integrations, and support. A standard 30-day pilot is available.

Pricing Information

$5 per study
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Rehearsals

Date Founded

2025

Company Location

United States

Company Website

www.runrehearsals.com

Company Facts

Organization Name

Panelyst

Company Location

United Kingdom

Company Website

www.usepanelyst.com

Categories and Features

Market Research

Not specified

Synthetic User Tools

Not specified

Categories and Features

Market Research

Not specified

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