U.S. Demographics Snapshot for Sales Segmentation
A fast profile of who is buying — age, income, household role in purchase decisions, and repurchase intent — built for sales and revenue teams who need to segment accounts and forecast pipeline by customer type. An AI follow-up interview digs into the real reasoning behind each respondent's repurchase likelihood, surfacing price sensitivity and decision context a score alone can't show.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Which best describes your role in purchase decisions for (Replace with your product/service category) in your household?
- I decide alone
- I decide jointly with others
- Someone else in my household decides
- It depends on the purchase
In the last 30 days, roughly how much did your household spend on (Replace with your product/service category)?
- Under $25
- $25–$49
- $50–$99
- $100–$199
- $200 or more
- Prefer not to say
How likely are you to purchase from (Replace with your brand) again in the next 12 months?
Probe the reasoning behind the respondent's repurchase likelihood score, anchoring on a specific recent purchase experience with (Replace with your brand/product). Explore how their household spend level and role in the purchase decision shaped that score. If the score is low, identify the single biggest reason they might switch or stop buying; if high, ask what would make them buy more or more often.
Last section — a few quick background questions. All of these are optional, so skip anything you'd rather not answer.
Which age range do you fall into?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
What is your gender?
- Woman
- Man
- Non-binary / third gender
- Prefer not to say
What is your total annual household income, before taxes?
- Under $25,000
- $25,000–$49,999
- $50,000–$74,999
- $75,000–$99,999
- $100,000–$149,999
- $150,000 or more
- Prefer not to say
What is the highest level of education you have completed?
- High school or less
- Some college
- Associate degree
- Bachelor's degree
- Graduate or professional degree
- Prefer not to say
Which best describes your current employment status?
- Employed full-time
- Employed part-time
- Self-employed
- Unemployed
- Student
- Retired
- Prefer not to say
Including yourself, how many people live in your household?
- 1
- 2
- 3
- 4
- 5 or more
- Prefer not to say
Which U.S. region do you currently live in?
- Northeast
- Midwest
- South
- West
- Prefer not to say
What is your current marital status?
- Single, never married
- Married or partnered
- Divorced or separated
- Widowed
- Prefer not to say
That's everything — thank you! Your responses feed directly into our customer segmentation and revenue planning, helping us understand who we're serving and how to serve them better.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Goes beyond a repurchase-intent score with an AI follow-up interview that probes the actual reasoning behind each respondent's likelihood rating, surfacing price sensitivity and decision context.
- Captures purchase-decision role and recent household spend alongside standard demographic variables (age, income, region, household size), so sales teams can segment accounts by both who buys and how they decide.
- Uses conversational chat messages to frame the survey and keep completion friction low, with demographic questions positioned as an optional final section.
- Feeds directly into an auto-generated report built for customer segmentation, rather than leaving analysis entirely to the researcher.
SurveyMonkey
U.S. Demographics – Snapshot Survey TemplateA ready-to-field template covering core U.S. demographic variables (age, income, region, etc.), closely matching the demographic-capture portion of our survey. It's a straightforward static form focused on classification rather than purchase behavior or repurchase reasoning. Backed by SurveyMonkey's established distribution and panel options.
What it does well
- Purpose-built demographic question set with standard U.S. categories
- Established platform with broad audience/panel access
- Quick to deploy as-is for general demographic profiling
Where it falls short
- No adaptive AI follow-up to probe reasoning behind any behavioral or intent question
- Static question list with no mechanism to link demographics to purchase decisions or repurchase likelihood
- No transparent, per-response prompt methodology or automated quality scoring
QuestionPro
General shopping demographics survey questions + sample questionnaire templateThis is more a questionnaire guide with sample questions than a single fielding-ready template, oriented toward general shopping habits and demographics rather than sales-pipeline segmentation. It offers useful example question wording but doesn't structure a purchase-decision-role or repurchase-intent flow like ours. Suited to general market research rather than account/customer-type segmentation for a sales team.
What it does well
- Broad library of sample shopping-demographic question wording
- Covers general consumer profiling attributes useful as a reference
- Part of a larger established survey template catalog
Where it falls short
- Presented as a sample question guide, not a turnkey fielding-ready survey
- No adaptive or voice AI interviewing to explore repurchase reasoning
- No built-in per-response quality scoring or automated segmentation report
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.