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.
設問の例
テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。
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
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
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)
Overall, how satisfied were you with your most recent shopping experience with us?
How much do you agree with each statement about your recent shopping experience?
- 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
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
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.
How likely are you to recommend shopping with us to a friend or family member?
Last, a few quick questions about you — these help us understand who's shopping with us. All of these are optional.
What is your age range?
- Under 18
- 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
- Prefer not to say
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
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
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.
含まれる機能
AIによる深掘り
自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。
注意確認設問
急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。
AIが作成する設問文
文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。
自動レポート
回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。
他ツールとの比較
ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。
このテンプレートを選ぶ理由
- 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 TemplateA 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.
優れている点
- 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
物足りない点
- 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 TemplateThis 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.
優れている点
- 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
物足りない点
- 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 TemplateFocused 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.
優れている点
- 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
物足りない点
- 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
よくあるご質問
「Retail Shopper Demographics & Buying Habits Survey」テンプレートにはどのような設問が含まれていますか?
すぐに使える設問が15問含まれており、最初の設問は次のとおりです:「Thanks for shopping with us! We'd love to learn more about your shopping habits and what matters to you. Your responses…」・「In the last 30 days, how many times did you shop with us — in a store, online, or through our app?」・「Which best describes how you usually shop with us?」。すべての設問は上でプレビューでき、自由に編集できます。
このアンケートの回答にはどのくらい時間がかかりますか?
回答者は通常、15問を約8分で回答し終えます。
テンプレートは編集できますか?
はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。
このテンプレートは無料で使えますか?
はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。
公開の準備はできましたか?
このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。
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