Q01
Message
All templates
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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
14 questions · ~7 min
Q02
Multiple ChoiceRequired
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
Multiple ChoiceRequired
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
Point AllocationRequired
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
Allocate 100 points
Q05
RankingRequired
Rank the following from most to least influential when you decide what to buy.
- Price
- Product quality
- Convenience or speed
- Brand reputation
- Customer reviews
- Return policy
- Sustainability or ethical practices
Drag to rank
Q06
MatrixRequired
How important is each of the following when you choose where to shop?
5 rows × 5 columns
- Free shipping
- Fast delivery
- Easy returns
- Ease of use of the website or app
- Quality of customer service
Columns: Not important · Slightly important · Moderately important · Very important · Extremely important
Q07
Opinion ScaleRequired
How likely are you to increase your online shopping over the next 3 months?
Scale: 0 – 10
Min:Very unlikelyMax:Very likely
Q08
Multiple Choice
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 Interview
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
Multiple Choice
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
Multiple Choice
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q12
Multiple Choice
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
Short Text
What region, state, or city do you live in? (Prefer not to say is fine.)
Q14
Message
That's everything — thank you! Your responses will be combined with others to help us understand shopping habits across different types of customers.
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 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 templateA 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.
What it does well
- Purpose-built template combining shopping behavior with demographic questions
- Established survey platform with broad question-type support
Where it falls short
- 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 TemplateA 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.
What it does well
- Highly customizable drag-and-drop form builder
- Easy to deploy quickly as a standalone form
Where it falls short
- 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 TemplateA 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.
What it does well
- Well-established, professionally worded demographic question bank
- Backed by a widely used survey platform with broad distribution tools
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.