Test with the exact audience you care about.

You type a plain-English description of the people you want feedback from, and the Intelligent Audience Engine matches them from the persona database. There are no filter menus and no screener surveys. Age, income, job title, technology comfort, and buying context are all read from your sentence, so one description expresses an intersection that used to take a dozen filters to set by hand.

Menus handle common segments and break the moment you need an intersection the taxonomy never anticipated. There is no menu for rural pharmacists who replaced their practice-management software in the past year. A typed description holds the whole intersection in one sentence, so niche audiences resolve to real profiles instead of an empty result.

Screeners are easy to game. Longtime panelists learn that the first few answers decide who gets paid, and one published test found panelists claiming familiarity with drugs that do not exist. A description asks nothing of a participant, so there is nothing to game. The targeting comes from persona records, not from a survey a respondent can outsmart.

326M+ personas, with 14.3M+ modeled locally inside each of 23 countries rather than sampled from one global pool. That local depth lets a test in Japan or Brazil run against that market's own population instead of expats. Enterprise plans unlock a larger pool of 800M+ personas.

Most panels are representative for the US and UK only. Buy respondents elsewhere and you often get foreign residents, translated consent forms, and sessions scheduled across time zones, at roughly twice the cost per completed session. Local depth changes what a test catches. In one Brazil study, a single Afro-Brazilian persona was the only reviewer to flag imagery that depicted their group negatively.

As narrow as you need. The engine resolves demographics, 1,700+ job titles, technology comfort, social platform use, news consumption, and behavioral traits like risk tolerance and decision speed. Because each persona is built with professional context and life circumstances, even a single-sentence description resolves to profiles whose records support it.

In a published comparison, Evelance personas matched real human feedback themes with 89.78% agreement, overlapping in 11 of 13 categories. Personas accelerate and augment research rather than replace it. The strongest workflow pairs fast persona rounds with human validation at the decision point.

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Pay-as-you-go, with no subscription. Personas are $2.99 each, and larger packs lower the per-persona price. A typical 10-persona test costs roughly $23.90 to $29.90 and returns feedback in 10 to 30 minutes, so comparing a page across five markets becomes an afternoon of runs instead of a five-figure study. You can run several cycles in a day, so a baseline, an iteration, and a competitor check all fit inside one sprint.