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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.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

13 questions · ~7 min
Q01
Message

Thanks for taking a few minutes to share how you shop at the mall! This helps retailers and mall operators understand real shopping habits. It should take about 5 minutes, and there are no wrong answers — just tell us what actually happens.

Q02
Multiple ChoiceRequired

In the last 3 months, how often have you visited a physical mall?

  • Almost daily
  • A few times a week
  • About once a week
  • A few times a month
  • Once a month or less
  • This was my first visit in months
Q03
Multiple ChoiceRequired

Thinking about your most recent mall visit, what best describes your main purpose?

  • Buying something specific I needed
  • Browsing without a specific purchase in mind
  • Meeting friends or family
  • Eating at a restaurant or food court
  • Watching a movie or other entertainment activity
  • Returning or exchanging an item
Q04
Point AllocationRequired

Thinking about a typical month, how do you split your mall spending across these categories? Please allocate 100 points based on where your money actually goes.

  • Clothing & apparel
  • Footwear
  • Electronics & gadgets
  • Food & dining
  • Personal care & beauty
  • Entertainment (movies, arcade, etc.)
  • Other
Allocate 100 points
Q05
Best–Worst Trade-off (MaxDiff)Required

When deciding which mall to shop at, some things matter more than others. For each set, tell us which factor matters most and which matters least to you.

  • Location convenience
  • Parking availability
  • Variety of stores
  • Prices and deals
  • Food and dining options
  • Store atmosphere and ambiance
  • Special events or promotions
  • Overall safety and cleanliness
Pick best & worst per setBest:Matters mostWorst:Matters least
Q06
MatrixRequired

How much do you agree with each statement about the mall you visit most often?

5 rows × 5 columns
  • It has a good variety of stores
  • Prices are reasonable for what I get
  • It is clean and well-maintained
  • Store staff are helpful when I need them
  • It's a pleasant place to spend time, not just shop
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q07
Opinion ScaleRequired

How likely are you to recommend this mall to a friend or family member looking for a place to shop?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q08
AI Interview

Reconstruct the respondent's most recent mall purchase decision: what they bought or almost bought, what nearly stopped them (price, not finding the right size or item, long lines, etc.), and what would have made them spend more. If they said their main purpose was 'just browsing,' probe what would have converted that visit into a purchase. Anchor follow-ups on their recommendation-likelihood answer if it was notably low or high.

Q09
Multiple Choice

What payment method do you use most often for mall purchases?

  • Credit or debit card
  • Mobile payment (Apple Pay, Google Pay, etc.)
  • Cash
  • Buy now, pay later service
  • Store credit card or loyalty account
Q10
Multiple Choice

Which age range do you fall into?

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

How do you describe your gender?

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

What is your approximate 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
Message

All done — thank you! Your answers, along with everyone else's, will be combined into a report on mall shopping habits used to guide store mix, pricing, and mall experience decisions. No individual responses are shared.

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

  • Includes an AI follow-up interview that reconstructs the shopper's actual most recent purchase decision, surfacing near-misses and price hesitation that closed questions can't capture
  • Uses a constant-sum question to get precise spend-allocation percentages across mall categories rather than vague ranking
  • Combines a MaxDiff exercise and matrix agreement scale to rigorously prioritize what drives mall choice and satisfaction with the primary mall
  • Pairs quantitative screening (visit frequency, purpose, NPS-style recommend likelihood, demographics) with automated quality scoring and an auto-generated report for mall operators and tenant-mix planners

QuestionPro

Mall purchase habits survey questions + sample questionnaire template

This is a direct topical match: a ready-to-use questionnaire covering mall visit frequency, purpose, and purchase habits. It's a static template of pre-written closed questions rather than an adaptive interview, so it works well as a quick-start question bank but relies on the researcher to interpret open-ended nuance manually.

What it does well

  • Purpose-built sample questionnaire specifically for mall/retail purchase habits, so questions are pre-vetted for this exact use case
  • Likely offers customizable, fielding-ready questions within QuestionPro's established survey platform
  • Backed by a large survey template library and platform with broad distribution options

Where it falls short

  • No adaptive AI follow-up interview to probe why a shopper chose one purchase over another or reconstruct near-miss decisions
  • No indication of automated per-response quality scoring
  • No transparent prompt/methodology disclosure since it's a fixed question list, not an AI-driven interview

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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