모든 템플릿
Sales & Revenue

General Shopping Behavior & Demographics Survey

Maps how, where, and why people shop — channel mix, category spend, decision drivers, and core demographics — with an AI follow-up interview that reconstructs a recent real purchase decision instead of relying on stated preferences. Built for retail, e-commerce, and market-sizing teams profiling a customer base.

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 14개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to share your shopping habits! This helps us understand how people like you shop today. Your responses are completely confidential and anonymized. It should take about 5-6 minutes, and there are no right or wrong answers.

Q02
객관식필수

Which best describes how you shopped in the last 30 days?

  • Only online
  • Mostly online, some in-store
  • Mostly in-store, some online
  • Only in-store
  • I didn't shop at all
Q03
객관식필수

Which channel do you use most often when you shop?

  • A large online marketplace (e.g., Amazon)
  • A brand or retailer's own website or app
  • A physical retail store
  • Social media shopping (e.g., posts, live shopping, ads)
  • Other
Q04
점수 배분필수

Thinking about your typical monthly spending, allocate 100 points across these categories based on how much you spend on each.

  • Groceries & household essentials
  • Clothing & apparel
  • Electronics & tech
  • Health & beauty
  • Home & furniture
  • Entertainment & leisure
100점 배분
Q05
순위 매기기필수

Rank the following from most to least influential when you decide what to buy.

  1. Price
  2. Product quality
  3. Convenience or speed
  4. Brand reputation
  5. Customer reviews
  6. Return policy
  7. Sustainability or ethical practices
드래그하여 순위 지정
Q06
매트릭스필수

How important is each of the following when you choose where to shop?

5개 행 × 5개 열
  • Free shipping
  • Fast delivery
  • Easy returns
  • Ease of use of the website or app
  • Quality of customer service
: Not important · Slightly important · Moderately important · Very important · Extremely important
Q07
의견 척도필수

How likely are you to increase your online shopping over the next 3 months?

척도: 010
최소:Very unlikely최대:Very likely
Q08
객관식

Which payment method do you use most often when shopping?

  • Credit or debit card
  • Digital wallet (e.g., Apple Pay, PayPal)
  • Buy now, pay later
  • Cash
  • Other
Q09
AI 인터뷰

Reconstruct the respondent's most recent real purchase: what they bought, which channel they used, and why they chose that channel over the alternatives. Anchor on whether price, convenience, or trust drove the final decision, and probe any gap between their stated top decision factor and what actually happened. If they said they didn't shop at all in the last 30 days, explore what would need to change for them to make a purchase.

Q10
객관식

What is your age range?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q11
객관식

What is your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q12
객관식

What is your total annual household income?

  • 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
Q13
단문형

What region, state, or city do you live in? (Prefer not to say is fine.)

Q14
메시지

That's everything — thank you! Your responses will be combined with others to help us understand shopping habits across different types of customers.

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 stated preferences with an AI follow-up interview that reconstructs a respondent's most recent real purchase decision, capturing what they bought, where, and why
  • Combines quantitative channel, spend allocation (constant sum), and decision-driver ranking questions with a matrix on shopping-location importance for a full behavioral picture
  • Includes core demographic questions (age, gender, income, region) alongside shopping behavior, so retail and market-sizing teams get one unified respondent profile
  • Every AI probe runs on transparent, reviewable prompts, and responses are automatically quality-scored and compiled into an auto-generated report

QuestionPro

General shopping demographics survey questions + sample questionnaire template

A fielding-ready questionnaire covering shopping habits and demographics, similar in scope to ours. It relies entirely on static, pre-written questions with no adaptive follow-up to probe individual answers further.

잘하는 점

  • Purpose-built template combining shopping behavior with demographic questions
  • Established survey platform with broad question-type support

아쉬운 점

  • No adaptive AI follow-up interview to reconstruct actual purchase decisions
  • No voice AI interview option or guided screen-share tasks
  • No published prompt-level methodology or automated per-response quality scoring

Jotform

Shopping Behavior Survey Form Template

A customizable form-builder template focused on shopping behavior, useful as a quick-start form rather than a research-grade survey instrument. It's a static form design tool, so depth of insight depends entirely on the questions the user manually adds.

잘하는 점

  • Highly customizable drag-and-drop form builder
  • Easy to deploy quickly as a standalone form

아쉬운 점

  • No AI-driven follow-up questioning or purchase reconstruction
  • No built-in quality scoring or auto-generated analysis report
  • No voice interview or guided task capability

SurveyMonkey

U.S. Demographics Survey Template

A general-purpose demographics template, not a shopping-behavior instrument, so it only overlaps with the demographic portion of our template. Teams would need to build the entire shopping-behavior section (channels, spend, drivers) themselves.

잘하는 점

  • Well-established, professionally worded demographic question bank
  • Backed by a widely used survey platform with broad distribution tools

아쉬운 점

  • No shopping-behavior content at all (channel mix, spend allocation, decision drivers)
  • No adaptive AI interviewing or purchase-reconstruction capability
  • No automated quality scoring or transparent AI prompt methodology

자주 묻는 질문

“General Shopping Behavior & Demographics Survey” 템플릿에는 어떤 질문이 포함되어 있나요?

바로 사용할 수 있는 질문 14개가 포함되어 있으며, 처음 질문은 다음과 같습니다: “Thanks for taking a few minutes to share your shopping habits! This helps us understand how people like you shop today.…” · “Which best describes how you shopped in the last 30 days?” · “Which channel do you use most often when you shop?”. 전체 질문은 위에서 미리 볼 수 있고 모두 수정 가능합니다.

이 설문을 완료하는 데 얼마나 걸리나요?

응답자는 보통 질문 14개를 약 7분 안에 완료합니다.

템플릿을 수정할 수 있나요?

네. 설문을 공개하기 전에 모든 질문, 답변 옵션, 순서를 자유롭게 수정할 수 있습니다. 질문을 추가·삭제하거나 AI 편집기에 연구 목표에 맞춘 재구성을 요청할 수도 있습니다.

이 템플릿은 무료인가요?

네. 편집기에서 바로 열어 수정을 시작할 수 있습니다. 체험에는 계정이 필요 없으며, 무료 플랜으로 설문을 공개할 수 있습니다.

설문을 공개할 준비가 되셨나요?

이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.

관련 템플릿

비슷한 주제의 다른 설문을 만나 보세요.

전체 보기
Sales & Revenue

Sales Follow-Up Effectiveness Survey

Measures how prospects and customers experienced your sales team's follow-up after a demo, quote, or consultation — speed, relevance, and whether it actually moved their decision forward. An AI follow-up interview digs into the specific moment follow-up helped or stalled the deal, giving sales leaders concrete coaching material instead of a generic satisfaction score.

템플릿 보기
Sales & Revenue

Retail Shopper Demographics & Buying Habits Survey

Profiles who your retail customers are and how they actually shop — channel mix, spending split, satisfaction, and the store features that matter most — then uses an AI follow-up to uncover the real reason behind their most recent shopping decision. Built for retail and e-commerce teams segmenting customers for marketing, merchandising, and store experience decisions.

템플릿 보기
Sales & Revenue

Retail Shopping and Product Search Behavior Survey

Maps how shoppers browse, search, and decide across in-store, online, and marketplace channels — where product searches succeed or break down, which purchase factors carry the most weight, and what an AI follow-up interview uncovers about the last time someone couldn't find what they wanted. Built for retail, e-commerce, and merchandising teams optimizing search, navigation, and discovery.

템플릿 보기
Sales & Revenue

Mall Shopping Behavior & Purchase Habits Survey

Explores how often people visit the mall, what they buy, how they allocate spend across categories, and what drives their choice of retail destination. Built for mall operators, retail marketers, and tenant-mix planners; the AI follow-up interview reconstructs the real story behind a shopper's most recent purchase decision, including near-misses and price hesitation that closed questions miss.

템플릿 보기
Sales & Revenue

Online Shopping Behavior & Purchase Drivers Survey

Measures consumer purchase frequency, channel preferences, decision drivers, and trade-offs in online shopping. Designed for ecommerce researchers and product teams seeking actionable shopper segmentation insights.

템플릿 보기
Sales & Revenue

Supermarket Shopping Attitudes and Habits Survey

Captures how shoppers choose, evaluate, and switch between grocery stores and channels — price sensitivity, loyalty behavior, and channel mix — for retail and CPG researchers. An AI follow-up interview digs into the real story behind a shopper's most recent store choice or channel switch, beyond what a closed question can capture.

템플릿 보기