Q01
메시지
모든 템플릿
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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
질문 15개 · 약 8분
Q02
객관식필수
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
Q03
객관식
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
Q04
의견 척도필수
How likely are you to purchase from (Replace with your brand) again in the next 12 months?
척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q05
AI 인터뷰
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.
Q06
메시지
Last section — a few quick background questions. All of these are optional, so skip anything you'd rather not answer.
Q07
객관식
Which age range do you fall into?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
Q08
객관식
What is your gender?
- Woman
- Man
- Non-binary / third gender
- Prefer not to say
Q09
객관식
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
Q10
객관식
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
Q11
객관식
Which best describes your current employment status?
- Employed full-time
- Employed part-time
- Self-employed
- Unemployed
- Student
- Retired
- Prefer not to say
Q12
객관식
Including yourself, how many people live in your household?
- 1
- 2
- 3
- 4
- 5 or more
- Prefer not to say
Q13
드롭다운
Which U.S. region do you currently live in?
- Northeast
- Midwest
- South
- West
- Prefer not to say
Q14
객관식
What is your current marital status?
- Single, never married
- Married or partnered
- Divorced or separated
- Widowed
- Prefer not to say
Q15
메시지
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.
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.
다른 서비스와 비교
다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.
이 템플릿을 선택하는 이유
- 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.
잘하는 점
- 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
아쉬운 점
- 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.
잘하는 점
- 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
아쉬운 점
- 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
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