AIRPORT & REAL ESTATE DEVELOPMENT

Airport & Real Estate Developer Client Satisfaction & Feasibility Study Outcome Survey

Airport-adjacent real estate developers, concession partners, and infrastructure investors evaluate site feasibility, client satisfaction signals, and lease conversion potential, so you can sharpen acquisition targeting, benchmark pricing positions, and fix retention gaps before the next tender cycle.

Multi-Market sample
Airport developers and real estate investors (C-Suite and Project Heads)
15-20 min
Talk to a Survey Consultant
Feasibility friction & conversion gapsIdentify where developer prospects stall, disengage, or reject feasibility proposals.
Satisfaction drivers & lease benchmarksRank client satisfaction factors against lease renewal rates and pricing thresholds.
TRUSTED BY LEADING BRANDS
Brand 0Brand 1Brand 2Brand 3Brand 4Brand 5Brand 6Brand 7Brand 8Brand 9Brand 10Brand 11Brand 12Brand 13Brand 14Brand 15Brand 16Brand 17Brand 18Brand 19Brand 20Brand 21Brand 22Brand 23Brand 24Brand 25Brand 26Brand 27Brand 28Brand 29Brand 30Brand 31

CONTEXT & RELEVANCE

Why run this survey now

Most airport concessionaires and real estate developers don't lose mandates purely on feasibility numbers. They lose them due to misread tenant demand signals, unresolved client satisfaction gaps, misaligned revenue projections, weak post-handover service perception, and unclear zone-level viability, none of which fully show up in occupancy dashboards or project completion reports.

If you are...

  • Airport retail concession head

  • Real estate developer, mixed-use assets

  • Commercial leasing and revenue lead

  • Asset strategy and portfolio director

  • Tenant acquisition and retention team

You're likely facing...

  • Tenant fit confusion: airside vs landside

  • Feasibility gaps: footfall vs spend conversion

  • Developers = slow delivery perception

  • Client satisfaction drop post-handover

  • Lease renewal friction and exit risk

This will help answer...

  • Satisfaction drivers beyond asset specs

  • Feasibility drop-off by zone type

  • Tenant segment preference mapping

  • Rent vs service value tension

  • Renewal risk and switching triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete airport real estate client journey from site shortlisting to lease renewal.

TENETS 01

Discovery & Shortlisting

  • Initial site identification channels
  • Developer outreach, broker referral
TENETS 02

Developer Credibility

  • Track record, delivery history
  • Airport authority endorsement signals
TENETS 03

Feasibility & Zoning

  • Land use approvals, aeronautical zoning
  • Feasibility report quality, turnaround
TENETS 04

Leasing & Negotiation

  • Lease structure, tenure flexibility
  • Heads of terms, concession clauses
TENETS 05

Pricing & Returns

  • Rent benchmarks, yield expectations
  • Capital expenditure recovery timeline
TENETS 06

Delivery & Handover

  • Construction milestone adherence
  • Snagging resolution, fit-out readiness
TENETS 07

Asset Management

  • Facilities management, SLA compliance
  • Common area upkeep, airside access
TENETS 08

Renewal & Expansion

  • Lease renewal intent, expansion triggers
  • Competing site evaluation at renewal
Request a scope validation call

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.

Sample size
How many respondents do you need?
Not Selected
Target audience
Who should we survey?
Not Selected
Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected
Discuss sample plan

METHODOLOGY

Survey approach

For the Airport & Real Estate Developer Client Satisfaction & Feasibility Study Outcome Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Measuring client satisfaction across airport and developer segments
2
Ranking feasibility study outcome drivers by stakeholder type
3
Benchmarking scores by project scale and geography
Deliverables
Satisfaction score matrix
Feasibility driver ranking
Segment gap report
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Senior developer principals with low survey response rates
2
Rapid coverage across multiple airport catchment zones
Deliverables
Developer coverage data
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-value airport concession and anchor tenant accounts
2
Large-scale real estate developers requiring on-site verification
Deliverables
Stakeholder journey maps
Site-level insights
OPTIONAL
FGDs
Deliverables
Themes and quotes
Concept feedback
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey as the core quant layer, targeting airport authority contacts and real estate developer project leads across key geographies.
Consider adding: CATI for senior developer principals with low digital response rates, and F2F for high-value anchor tenant and concession accounts requiring on-site verification.
Confirm approach
Request timeline

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

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

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

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
  • Indian Rupee (INR)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$0.00

+ applicable taxes

Proposal turnaround typically 24–48 hours

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 airport real estate and developer space.

CASELET 1

Tenant mix preference & lease intent mapping (India)

CASELET 2

Airline & ground handler satisfaction diagnostics (South Asia)

Tenant mix preference & lease intent mapping (India)

OBJECTIVE

A greenfield airport city developer needed to quantify how retail tenants , F&B operators , and logistics occupiers ranked location viability, footfall projections, and lease structure flexibility when committing to aerotropolis-adjacent commercial space.

WHAT WE DID

Ran a structured quant survey across 120 prospective tenants in 4 metro catchments, capturing minimum viable footfall thresholds , preferred lease tenure bands , fit-out contribution expectations , and ranked deal-breakers by occupier category and floor-plate size.

DELIVERED

A tenant preference map segmented by occupier type, a lease structure corridor by category, a ranked friction list blocking first-mover commitment, and a set of positioning territories to convert anchor tenant negotiations.
Talk to Survey Consultant
CASELET 1

Tenant mix preference & lease intent mapping (India)

CASELET 2

Airline & ground handler satisfaction diagnostics (South Asia)

Tenant mix preference & lease intent mapping (India)

OBJECTIVE

A greenfield airport city developer needed to quantify how retail tenants , F&B operators , and logistics occupiers ranked location viability, footfall projections, and lease structure flexibility when committing to aerotropolis-adjacent commercial space.

WHAT WE DID

Ran a structured quant survey across 120 prospective tenants in 4 metro catchments, capturing minimum viable footfall thresholds , preferred lease tenure bands , fit-out contribution expectations , and ranked deal-breakers by occupier category and floor-plate size.

DELIVERED

A tenant preference map segmented by occupier type, a lease structure corridor by category, a ranked friction list blocking first-mover commitment, and a set of positioning territories to convert anchor tenant negotiations.

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 airport-side clients, mixed-use real estate developers and pure residential developers?

How will you measure feasibility study outcome satisfaction beyond simple ratings?

Will the survey map the full client engagement journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our mandate win rate and client retention?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

Book a Discovery Call