> For the complete documentation index, see [llms.txt](https://docs.zigpoll.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zigpoll.com/synthetic-research/audience-profiles-reference.md). # Audience Profiles Reference This page is a complete reference for all audience templates, demographic attributes, and configuration options available in Synthetic Research. *** ## Audience Templates Zigpoll includes 9 pre-built audience templates. Each template defines a set of profiles with demographic attributes already filled in. You can use them as-is or customize them after applying. ### US General Population | Profile | Percentage | Age Range | Geography | Salary | Education | | -------------------- | ---------- | --------- | --------- | ---------- | --------- | | Young Adults (18-34) | 25% | 18-34 | US | $30k-$60k | Mixed | | Middle-Aged (35-54) | 40% | 35-54 | US | $50k-$100k | Mixed | | Seniors (55+) | 35% | 55+ | US | $40k-$80k | Mixed | ### Young Professionals | Profile | Percentage | Age Range | Geography | Role | Salary | Education | | --------------------- | ---------- | --------- | ------------- | ---------------------- | ----------- | -------------------------- | | Early Career (22-28) | 40% | 22-28 | US - Urban | Junior/Entry Level | $40k-$70k | Bachelor's Degree | | Mid Career (29-35) | 35% | 29-35 | US - Urban | Mid-Level Professional | $70k-$120k | Bachelor's/Master's Degree | | Senior Career (36-42) | 25% | 36-42 | US - Suburban | Senior/Manager | $100k-$160k | Master's/MBA | ### Enterprise Decision Makers | Profile | Percentage | Age Range | Role | Salary | Education | | -------------- | ---------- | --------- | -------------- | ----------- | -------------------------- | | C-Suite | 20% | 40-60 | CEO/CTO/CFO | $200k+ | MBA/Advanced Degree | | VP/Director | 35% | 35-55 | VP/Director | $150k-$250k | Master's/MBA | | Senior Manager | 45% | 30-50 | Senior Manager | $100k-$180k | Bachelor's/Master's Degree | ### Millennials | Profile | Percentage | Age Range | Salary | Interests | | ------------------------- | ---------- | --------- | ---------- | ----------------------------------------- | | Early Millennials (35-43) | 50% | 35-43 | $60k-$110k | Technology, Travel, Wellness | | Late Millennials (28-34) | 50% | 28-34 | $45k-$85k | Social Media, Experiences, Sustainability | ### Gen Z | Profile | Percentage | Age Range | Role | Salary | Interests | | -------------------- | ---------- | --------- | ----------------- | --------- | ------------------------------------- | | College-Age (18-22) | 45% | 18-22 | Student/Part-Time | $0-$25k | Social Media, Gaming, Activism | | Early Career (23-28) | 55% | 23-28 | Entry Level | $30k-$55k | Content Creation, Mental Health, Tech | ### Gen X | Profile | Percentage | Age Range | Salary | Family Status | | ------------------ | ---------- | --------- | ---------- | -------------------------- | | Mid Gen X (48-53) | 50% | 48-53 | $80k-$140k | Has teenage/adult children | | Late Gen X (44-47) | 50% | 44-47 | $70k-$120k | Has school-age children | ### Baby Boomers | Profile | Percentage | Age Range | Role | Salary | Interests | | ----------------------- | ---------- | --------- | ---------------- | ---------- | -------------------------------- | | Working Boomers (60-67) | 40% | 60-67 | Senior/Executive | $80k-$150k | Health, Finance, Travel | | Retired Boomers (68-78) | 60% | 68-78 | Retired | $40k-$80k | Gardening, Grandchildren, Health | ### New Mothers | Profile | Percentage | Age Range | Gender | Family Status | Interests | | ------------------------ | ---------- | --------- | ------ | ----------------------- | ---------------------------------- | | First-Time Moms (25-32) | 50% | 25-32 | Female | New mother, first child | Parenting, Baby Products, Wellness | | Experienced Moms (30-40) | 50% | 30-40 | Female | Mother of 2+ children | Family, Organization, Self-Care | ### Young Men | Profile | Percentage | Age Range | Gender | Role | Salary | Interests | | ----------------------------- | ---------- | --------- | ------ | ---------------------- | --------- | ---------------------------------- | | College-Age Men (18-22) | 35% | 18-22 | Male | Student/Part-Time | $0-$25k | Gaming, Fitness, Sports | | Early Career Men (23-28) | 40% | 23-28 | Male | Entry-to-Mid Level | $35k-$65k | Fitness, Technology, Career Growth | | Established Young Men (29-34) | 25% | 29-34 | Male | Mid-Level Professional | $55k-$95k | Finance, Travel, Relationships | *** ## Demographic Attributes Each profile has 10 standard demographic fields plus a free-form custom field. All fields are optional. | Field | Key | Example | | ------------------- | -------------------- | ----------------------------------- | | Age Range | `ageRange` | 25-34 | | Gender | `gender` | Female, Male, Mixed | | Geography | `geography` | US - Northeast | | Role/Occupation | `role` | Software Engineer | | Salary Range | `salary` | $50k-$100k | | Education | `education` | Bachelor's Degree | | Relationship Status | `relationshipStatus` | Married | | Family Status | `familyStatus` | Has children | | Interests | `interests` | Technology, Travel | | Hobbies | `hobbies` | Reading, Gaming | | Custom Attributes | `custom` | Tech-savvy, prefers mobile shopping | The **Custom Attributes** field is a free-form text area where you can add any additional context about the profile that doesn't fit into the standard fields. *** ## Profile Weighting Profile percentages control how completions are distributed across your audience segments. Percentages must total 100%. When you adjust one profile's percentage, the remaining profiles automatically redistribute their percentages to maintain a 100% total. For example, if you have three profiles and set one to 50%, the other two will split the remaining 50%. When you add a new profile, all profiles are automatically redistributed to equal shares (e.g., 4 profiles get 25% each). *** ## Configuration Options | Option | Description | Range | | --------------------- | ---------------------------------------------------------------------------------------------------- | ----------------------- | | Research Goal | Describe what you want to learn from this research. Helps the AI focus its responses. | Free text (optional) | | Business Description | Describe your business, product, or industry. Auto-filled from Shopify store or domain if connected. | Free text (optional) | | Number of Completions | How many virtual respondents complete the survey. | 1 - 1,000 | | Response Language | The language responses are generated in. | 94+ supported languages | *** ## How Responses Are Counted Your monthly quota is measured in **responses**, not completions. The formula is: > **Responses = Answerable Slides x Completions** For example, a survey with 5 answerable slides and 100 completions uses 500 responses. The following slide types are **not counted** as answerable and do not consume responses: * Copy * Thank-you * Reward * Action All other slide types (single choice, multiple choice, short answer, long answer, binary choice, form panel, star rating, slider, email capture, range, satisfaction, NPS, dropdown, ranked choice, image choice, consent, country, file upload, etc.) are counted as answerable. *** ## Status Reference | Status | Description | | ---------- | --------------------------------------------------------------------------- | | Generating | The AI is actively generating responses. Progress updates every 3 seconds. | | Completed | All requested completions finished successfully. | | Incomplete | Generation finished but some completions could not be completed. | | Failed | An error occurred during generation. Check the error message for details. | | Cancelled | You manually stopped generation. Any completions already finished are kept. | *** ## Supported Question Types Synthetic Research can generate responses for all answerable slide types, including: * Single Choice * Multiple Choice * Short Answer * Long Answer * Binary Choice * Form Panel * Star Rating * Slider * Email Capture * Range * Satisfaction * NPS * Dropdown * Ranked Choice * Image Choice * Consent * Country {% hint style="info" %} Survey logic (both action rules and display conditions) is fully respected during synthetic response generation. The AI follows the same branching paths that a real respondent would. {% endhint %} --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.zigpoll.com/synthetic-research/audience-profiles-reference.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.