REAL ESTATE & INSTITUTIONAL FINANCE

REITs Investment & Institutional Interest Study

Institutional allocators, fund managers, and portfolio strategists evaluate REIT structures, yield expectations, and liquidity trade-offs across asset classes, so you can sharpen acquisition targeting, benchmark positioning, and refine capital deployment strategy.

Pan-India sample
Institutional investors (Portfolio/Fund Decision-Makers)
15-20 min
Talk to a Survey Consultant
Allocation friction & entry barriersIdentify where institutional allocators stall, reconsider, or exit REIT commitments.
Yield expectations & asset benchmarksMap yield thresholds, asset class preferences, and liquidity requirements by investor segment.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most institutional allocators don't lose REIT mandates purely on yield. They lose them due to opaque sector rotation signals, misread tenant covenant strength, unclear capital recycling intent, diverging retail versus institutional sentiment, and unpriced liquidity risk, none of which fully show up in NAV reports or fund flow trackers.

If you are...

  • REIT sponsor or asset manager
  • Institutional allocator vs listed REIT
  • REIT product structuring lead
  • Capital markets or IR head
  • REIT strategy or portfolio director

You're likely facing...

  • Yield vs growth allocation tension
  • Retail vs institutional sentiment gap
  • Sector fit confusion: office vs logistics
  • Liquidity risk: unlisted vs listed preference
  • Mandate renewal and reallocation triggers

This will help answer...

  • Allocation drivers beyond distribution yield
  • Sector preference by investor segment
  • Funnel drop-off at due diligence
  • Pricing tolerance across REIT structures
  • Reallocation and exit trigger points

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete institutional investor journey from initial REIT screening to portfolio rebalancing decisions.

TENETS 01

Allocation & Mandate

  • REIT allocation within total portfolio
  • Mandate constraints, permitted structures
TENETS 02

Sector & Geography

  • Preferred REIT sectors, asset classes
  • Domestic vs. cross-border exposure
TENETS 03

Screening & Selection

  • Due diligence criteria, ranking factors
  • Sponsor quality, governance thresholds
TENETS 04

Yield & Returns

  • Distribution yield expectations, benchmarks
  • Total return vs. income weighting
TENETS 05

Risk & Liquidity

  • Interest rate sensitivity, hedging approach
  • Exit liquidity, redemption constraints
TENETS 06

ESG & Compliance

  • ESG scoring, green certification requirements
  • Regulatory compliance, reporting standards
TENETS 07

Manager & Sponsor

  • REIT manager track record, tenure
  • Sponsor pipeline, asset injection risk
TENETS 08

Competitive Positioning

  • REIT vs. direct real estate trade-offs
  • Peer allocation benchmarking, market share

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?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
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Segments
How should we slice the data?
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Discuss sample plan

METHODOLOGY

Survey approach

For the REITs Investment and Institutional Interest Study, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across institutional and retail investor segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking REIT asset class preference by investor type.
2
Quantifying yield expectations and allocation thresholds.
3
Comparing sentiment across fund managers, family offices, and retail investors.
Deliverables
Preference ranking matrix
Yield expectation bands
Investor segment profiles
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Institutional allocators with low survey panel presence.
2
Quick pulse across multiple geographies and fund types.
Deliverables
Institutional 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-AUM allocators requiring in-depth portfolio context.
2
Sovereign and pension fund cohorts with restricted digital access.
Deliverables
Allocation decision maps
High-value cohort profiles
OPTIONAL
FGDs
Deliverables
Themes and verbatims
Narrative stress-test report
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 fund managers, family offices, and retail investors through curated panels and direct outreach.
Consider adding: CATI for institutional allocators with low panel presence, and F2F for high-AUM and sovereign fund cohorts where allocation context requires verification.

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 real estate investment and institutional capital space.

CASELET 1

Retail investor allocation intent & REIT product fit (India)

CASELET 2

Institutional capital deployment criteria & office REIT positioning (Pan-India)

Retail investor allocation intent & REIT product fit (India)

OBJECTIVE

A listed asset management firm needed to map how high-net-worth retail investors and mass-affluent savers weigh REIT units against direct property ownership and equity mutual funds when making yield-seeking allocation decisions.

WHAT WE DID

Ran a structured quant survey across 480 respondents in 6 cities, capturing portfolio allocation thresholds , liquidity preference scores , yield expectation bands , distribution frequency sensitivity , and stated switching triggers from competing asset classes.

DELIVERED

A segment preference map by investor archetype, a yield expectation corridor by city tier, a ranked friction list blocking first-time REIT adoption, and a set of message territories calibrated to each segment's primary allocation rationale.
CASELET 1

Retail investor allocation intent & REIT product fit (India)

CASELET 2

Institutional capital deployment criteria & office REIT positioning (Pan-India)

Retail investor allocation intent & REIT product fit (India)

OBJECTIVE

A listed asset management firm needed to map how high-net-worth retail investors and mass-affluent savers weigh REIT units against direct property ownership and equity mutual funds when making yield-seeking allocation decisions.

WHAT WE DID

Ran a structured quant survey across 480 respondents in 6 cities, capturing portfolio allocation thresholds , liquidity preference scores , yield expectation bands , distribution frequency sensitivity , and stated switching triggers from competing asset classes.

DELIVERED

A segment preference map by investor archetype, a yield expectation corridor by city tier, a ranked friction list blocking first-time REIT adoption, and a set of message territories calibrated to each segment's primary allocation rationale.

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 retail-focused REITs, office-focused REITs and industrial or logistics REITs?

How will you measure REIT allocation preference beyond simple ratings?

Will the survey map the full institutional allocation journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our institutional capital-raising pipeline?

Still have questions?

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

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