Radar / AI models / Listen Twins

Listen Twins: one-to-one AI models of real customers that predict audience reactions

Listen Labs launched Listen Twins on 27 Oct 2026: one-to-one AI models of real people in a company's target audience, each built from an in-depth interview and enriched with the company's customer data. A panel of 100+ Twins can be asked a question and returns predicted audience responses in seconds, each with reasoning, the interview quote behind it, and a confidence score; Listen Labs reports Twin answers matched real people's answer distributions with 93% accuracy in testing.

new launchmodels · decisionJEV traction 0.28added 2026-10-27
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Why it matters

A synthetic audience at interview depth: each Twin mirrors one real person, so teams can test campaigns, pricing, and market entry in seconds instead of fielding a new study each time.

What you could build with it

A product team at a consumer brand could test three campaign concepts against a panel of Twins matched to its target audience before spending on media, comparing which segments respond and why, then field a full study only for the winning concept.

Does it hold up?

Too early to judge: launched today, the 93% accuracy figure is vendor-reported from its own testing, and Listen Labs itself still recommends a full study for high-stakes go/no-go decisions.

Built with Listen Twins

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official announcement →

First spotted on article: source.

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