Mall Shopping Experience & Foot Traffic Survey
Understand how mall shoppers evaluate visit frequency, compare destination malls, and choose between in-store and online alternatives, so you can sharpen tenant mix strategy, convert footfall into revenue, and benchmark category-level retention.
CONTEXT & RELEVANCE
Why run this survey now
Most mall operators don't lose foot traffic purely on tenant mix or location. They lose it due to dwell time friction, weak experiential anchors, poor visit-to-spend conversion, digital-to-physical journey breaks, and category blind spots, none of which fully show up in footfall counters or tenant sales reports.
If you are...
- Mall operator vs retail destination
- Leasing head managing anchor tenants
- Retail experience or format planner
- Commercial head tracking spend conversion
- Strategy lead benchmarking competing malls
You're likely facing...
- Footfall up, basket size flat
- Dwell time drop: F&B vs retail
- Weekend spikes, weekday occupancy gaps
- Digital discovery not converting visits
- Anchor exits triggering category voids
This will help answer...
- Visit frequency drivers by segment
- Dwell time drop-off by zone
- Shopper profile vs spend category
- Pricing perception: parking, F&B, events
- Switching triggers to competing destinations
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete shopper journey from first visit trigger to post-visit loyalty.
Visit Triggers
- Primary reasons driving mall visits
- Planned vs. impulse visit patterns
Mall Selection
- Proximity vs. tenant mix trade-offs
- Competing mall consideration set
Footfall Patterns
- Peak visit days and time slots
- Visit frequency by shopper segment
In-Mall Experience
- Navigation ease and wayfinding gaps
- Ambience, crowding, and comfort ratings
Spend & Dwell
- Average spend per visit by category
- Dwell time drivers and inhibitors
Tenant Mix
- Anchor store pull vs. specialty store draw
- Missing brand and category gaps
Digital & Loyalty
- Mall app adoption and feature usage
- Loyalty programme redemption behaviour
Advocacy & Return
- Net promoter intent by shopper cohort
- Return visit commitment and barriers
SAMPLING STRATEGY
Tell us about your ideal sample
Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.
METHODOLOGY
Survey approach
For the Mall Shopping Experience and Foot Traffic Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across shopper segments and mall formats.
EXECUTION PROCESS
How we execute
A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.
Define the decision frame
Confirm objectives, target cohorts, geographies, and reporting cuts
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
Deliver and align
COMMERCIAL TERMS
Request a Commercial Proposal
Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.
Select Sample Size
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.
REFERENCE CASELETS
Reference
Real-world examples of survey work in the retail and mall experience space.
Tenant mix preference & dwell-time drivers (West India)
OBJECTIVE
WHAT WE DID
DELIVERED
Tenant mix preference & dwell-time drivers (West India)
Mall communication channel & footfall messaging audit (South India)
Tenant mix preference & dwell-time drivers (West India)
OBJECTIVE
A regional mall operator needed to quantify how weekend leisure visitors and weekday errand shoppers differed in their category preferences , anchor tenant reliance , and willingness to extend dwell time across a single visit.
WHAT WE DID
Ran an intercept-led quant survey across 4 malls capturing visit frequency, category visit sequence, anchor vs. inline store splits, food-court conversion rates, and stated reasons for early exit among 600 respondents stratified by visit occasion.
DELIVERED
A dwell-time driver map by visitor occasion type, a ranked category pull index for each floor zone, and a friction list of 9 exit triggers that shortened visits below the operator's target duration.
FREQUENTLY ASKED QUESTIONS
Common Questions
Answers to frequently asked questions about this survey mandate.
What decisions will this survey enable?
Who is the buyer vs who are the respondents?
Can we see differences between weekend leisure visitors, weekday errand shoppers and family outing groups?
How will you measure mall destination preference beyond simple ratings?
Will the survey map the full mall visit journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our tenant mix and leasing pipeline?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.