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.

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샘플 질문

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질문 15개 · 약 8분

Q01

메시지

Thanks for shopping with us! We'd love to learn more about your shopping habits and what matters to you. Your responses are completely confidential and anonymized. This takes about 8 minutes, and your honest answers help us make real improvements.

Q02

객관식필수

In the last 30 days, how many times did you shop with us — in a store, online, or through our app?

I didn't shop with us
1-2 times
3-5 times
6-10 times
More than 10 times

Q03

객관식필수

Which best describes how you usually shop with us?

Almost always in-store
Almost always online or through the app
A mix of both, mostly in-store
A mix of both, mostly online/app
About equally split between in-store and online

Q04

점수 배분

Thinking about your total spending with us over the last 3 months, how would you split it across these channels? (Points should add up to 100.)

In-store
Website (desktop or mobile browser)
Mobile app
Phone or mail order
Third-party marketplace (Replace with your relevant marketplace, e.g., Amazon)

100점 배분

Q05

의견 척도필수

Overall, how satisfied were you with your most recent shopping experience with us?

척도: 1 – 7

최소:Very dissatisfied최대:Very satisfied

Q06

매트릭스필수

How much do you agree with each statement about your recent shopping experience?

5개 행 × 5개 열

Staff were helpful and knowledgeable
Checkout was quick and easy
The products I wanted were in stock
The store or website was easy to navigate
Prices felt fair for the value

열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree

Q07

최선·최악 선택형(MaxDiff)필수

For each set, choose which factor matters most and which matters least in your decision to shop with us.

Low prices
Product selection and variety
Ease of shopping in-store or online
Helpful staff
Fast checkout or delivery
Easy returns
Loyalty or rewards program
Product quality

세트별 최선·최악 선택최선:Matters most최악:Matters least

Q08

AI 인터뷰

Reference the respondent's satisfaction rating and channel preference. If satisfaction was low (1-3) or they mostly shop online, probe specifically what went wrong or what keeps them from visiting a store — a bad experience, distance, price, or lack of selection. If satisfaction was high, ask what single moment or interaction made them choose to keep shopping here instead of a competitor. Always ask them to name a specific store or retailer they compare us to and why.

Q09

의견 척도필수

How likely are you to recommend shopping with us to a friend or family member?

척도: 0 – 10

최소:Not at all likely최대:Extremely likely

Q10

메시지

Last, a few quick questions about you — these help us understand who's shopping with us. All of these are optional.

Q11

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

Q12

객관식

What is your gender?

Woman
Man
Non-binary
Prefer not to say

Q13

객관식

What is your total 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

Q14

드롭다운

Which region do you live in? (Template note: replace this list with your own regions or countries before launching.)

Northeast
Midwest
South
West
Outside the listed regions
Prefer not to say

Q15

메시지

Thank you for sharing your shopping habits with us! Your answers are combined with others in aggregate to guide our retail team's decisions on pricing, store experience, and product selection.

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.

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이 템플릿을 선택하는 이유

Goes beyond static profiling by using an AI follow-up interview that references the respondent's own satisfaction rating and channel preference to probe the real reason behind their most recent shopping decision
Combines channel usage, spend split (constant sum), satisfaction, agreement statements (matrix), and a max-diff exercise to rank which store factors actually drive decisions — not just surface-level demographics
Captures standard segmentation variables (age, gender, income, region) alongside behavioral and attitudinal data, so retail/e-commerce teams can build usable customer segments in one flow
Auto-generated reporting and transparent AI prompts mean teams can see exactly what the AI asked and why, unlike static forms that only report top-line percentages

QuestionPro

Demographic and Retail Shopping Survey Template

A ready-to-field template covering shopper demographics and retail shopping behavior, closely comparable in scope to our template. It's built on QuestionPro's standard survey engine, so it's strong for structured questioning but not designed for conversational follow-up. Good starting point for teams that just need a static demographic + shopping-habit questionnaire.

잘하는 점

Purpose-built for retail demographic and shopping behavior data collection
Backed by a mature survey platform with broad question-type support and reporting
Likely includes standard demographic breakouts (age, income, region) common to this template category

아쉬운 점

No adaptive AI follow-up — cannot probe why a respondent gave a particular satisfaction or channel answer
No voice AI interview option or guided screen-share tasks
No indication of published prompt-level methodology or automated per-response quality scoring

SurveyMonkey

U.S. Demographics Survey Template

This is a general-purpose U.S. demographics template rather than a retail-shopping-specific survey, so it covers age/income/region-type questions but not channel mix, spend split, or in-store satisfaction. Useful only as a demographics module, not as a full shopper behavior instrument. Teams would need to build the retail-specific questions themselves.

잘하는 점

Standardized, well-tested demographic question set applicable across industries
Easy to deploy quickly via a widely used survey platform
Likely benefits from SurveyMonkey's broad distribution and panel options

아쉬운 점

Not retail-specific — no channel mix, spend allocation, or shopping satisfaction questions
Static question format with no adaptive AI follow-up to explore reasons behind answers
No voice AI interview or guided task capability

SurveySparrow

Retail Store Evaluation Survey Template

Focused on evaluating the in-store experience (staff, layout, service) rather than shopper demographics or channel/spend behavior, so it overlaps only partially with our template's scope. It's a fielding-ready form for store experience feedback but doesn't build customer segments or dig into purchase-decision reasoning. Best suited for operational store feedback rather than marketing segmentation.

잘하는 점

Targeted specifically at retail store experience evaluation
Conversational-style survey UI that SurveySparrow is known for
Likely includes ratings on staff, cleanliness, and layout relevant to store operations

아쉬운 점

No shopper demographic or segmentation questions (age, income, region)
No adaptive AI interview to uncover the underlying reason for a shopping decision
No transparent prompt methodology or automated quality scoring of open responses

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