Our digital twins are modeled to broadly reflect the US population across major demographic and behavioral psychology patterns. The cohort is designed to approximate how different kinds of people may respond to movie concepts, product ideas, story pitches, and preference questions, while preserving privacy because the twins are simulated profiles rather than real individuals.
Silicon sampling can help creators, marketers, and researchers get a fast preliminary read before spending time and budget on larger studies. The tool is best used as an early signal: it can compare creative directions, highlight likely audience splits, and surface useful questions to test later with real viewers.
Wotspoll is designed for digital twin preference polling, AI audience simulation, creative concept testing, story development, product positioning, and early message testing against modeled US adult audience profiles.
Poll results from this tool are simulated estimates and are not guaranteed to match the real opinions of real people. They should be treated as directional research support, not as a substitute for validated audience research, legal advice, or final business decisions.
FAQ
Anonymous saved results are kept only in the user's browser session and clear when that session ends. Wotspoll does not sell poll prompts, answer choices, or saved results. See our Privacy Policy for more detail.
Yes. Teams can contact us about a private copy or custom deployment of the Wotspoll application and backend for internal research, creative testing, or in-house experimentation.
No. The results come from simulated audience profiles modeled after broad US population patterns. They are designed to provide a fast directional read, not a guaranteed measurement of real public opinion.
The tool works best for clear preference questions, A/B concept comparisons, movie idea testing, product positioning, message testing, and early audience-fit questions.
Use it before audience research. Wotspoll is intended to help narrow choices, spot likely audience splits, and decide what deserves deeper validation with real viewers or customers.