Building your target audience

Define who your Simulation's simulated respondents should represent, or base them on your real customers.

Last updated: 2 min read
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The Target Audience step of the Simulation wizard defines who your simulated personas represent.

Two sources of personas

  • Synthetic personas — built entirely from the demographic profile you configure below.
  • Real customers — hand-picked or randomly selected from the people already in your Synthight workspace, if you'd rather simulate reactions from your actual audience than a generic one.
Note

Synthetic personas aren't random combinations of your settings — age, education, occupation, income, and industry are kept demographically consistent with each other (a persona won't come out as a 22-year-old with a 30-year executive career), so responses read like a plausible person rather than a mismatched grab-bag of traits.

Demographic fields

FieldCovers
Age RangeMinimum/maximum age
GenderDistribution across genders
LocationCountries and specific areas
Income LevelIncome bracket distribution
Education LevelEducation attainment distribution
OccupationJob roles
IndustryIndustry the persona works in
InterestsTopics/activities they care about
Additional TraitsCustom demographic dimensions you define yourself
BackgroundPrior knowledge/context relevant to your simulation topic

Shortcuts

  • AI-generate an audience — describe the audience in plain language and let AI fill in the fields for you.
  • Save this audience — name and store it so you can reuse it on future simulations instead of rebuilding it. See Managing saved audiences.
  • An AI audience can also be generated from your company profile under Workspace → Company Settings — see Company profile settings.

Next steps

Frequently asked questions

Can Simulation personas be based on my real customers instead of synthetic ones?
Yes — you can hand-pick or randomly select real customers already in your Synthight workspace instead of building fully synthetic personas.
Will synthetic personas end up with unrealistic combinations of traits, like a 22-year-old with 30 years of executive experience?
No — age, education, occupation, income, and industry are kept demographically consistent with each other, so responses read like a plausible person rather than a mismatched grab-bag of traits.
Can I skip filling in the demographic fields manually?
Yes — describe your audience in plain language and use AI-generate an audience to have AI fill in the fields, or generate one from your company profile under Workspace → Company Settings.
Can I reuse a target audience across multiple Simulations?
Yes — use Save this audience to name and store it, then reuse it on future simulations instead of rebuilding it from scratch.

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