RENTAL HOUSING & MOBILITY

Rental Housing Experience & Tenant Mobility Survey

Map how urban renters evaluate lease terms, compare neighbourhoods, and choose between managed and unmanaged housing, so you can sharpen acquisition targeting, fix retention gaps, and benchmark pricing across tenant segments.

Pan-India urban sample
Active renters (Current or recent tenants)
15-20 min
Talk to a Survey Consultant
Lease conversion & drop-offsIdentify where prospective tenants hesitate, stall, or abandon the rental process.
Mobility triggers & segment trade-offsDiagnose relocation drivers, lease renewal thresholds, and deal-breaking property attributes.
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CONTEXT & RELEVANCE

Why run this survey now

Most residential landlords and operators don't lose tenants purely on rent price. They lose them due to unresolved maintenance cycles, opaque renewal terms, mismatched unit expectations, poor onboarding experiences, and weak community fit, none of which fully show up in occupancy dashboards or lease renewal rates.

If you are...

  • Build-to-rent portfolio operator
  • Multifamily asset manager
  • Tenant retention or leasing head
  • Rental product or pricing lead
  • Resident experience strategy director

You're likely facing...

  • Lease non-renewal: no clear trigger
  • Maintenance dissatisfaction vs. rent perception
  • Mid-lease mobility: life event vs. service gap
  • Amenity investment vs. retention payoff
  • Competing supply: price vs. experience gap

This will help answer...

  • Renewal drivers beyond rent level
  • Move-out stage and trigger
  • Segment mobility by tenure band
  • Amenity value vs. willingness to pay
  • Switching triggers at lease end

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete tenant journey from property search to lease renewal decision.

TENETS 01

Search & Discovery

  • Listing channels, referral sources
  • First-contact property touchpoints
TENETS 02

Location & Trade-offs

  • Commute radius, neighbourhood priorities
  • Proximity versus affordability tension
TENETS 03

Pricing & Affordability

  • Rent-to-income ratio, hidden costs
  • Deposit burden, fee transparency
TENETS 04

Lease & Documentation

  • Agreement clarity, clause disputes
  • Verification friction, onboarding delays
TENETS 05

Maintenance & Response

  • Issue resolution speed, escalation paths
  • Landlord responsiveness, contractor quality
TENETS 06

Landlord & Trust

  • Communication frequency, boundary respect
  • Deposit return disputes, fairness perception
TENETS 07

Mobility & Relocation

  • Move triggers, tenure length patterns
  • Relocation barriers, switching costs
TENETS 08

Renewal & Advocacy

  • Lease renewal intent, exit likelihood
  • Referral behaviour, platform recommendation

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 Rental Housing Experience and Tenant Mobility Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across tenant segments and geographies.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking lease renewal drivers by tenant segment.
2
Measuring satisfaction across rent bands and unit types.
3
Comparing mobility intent by city tier and tenure.
Deliverables
Mobility intent index
Satisfaction driver ranking
Segment comparison matrix
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Tenants in Tier 2 and Tier 3 cities with low digital access.
2
Quick coverage across dispersed rental micro-markets.
Deliverables
Tier-wise coverage report
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-rent urban tenants with complex relocation decisions.
2
Migrant worker clusters in dense rental corridors.
Deliverables
Corridor-level insights
Rich mobility journey maps
OPTIONAL
FGDs
Deliverables
Themes and verbatims
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, supported by CATI for Tier 2 and Tier 3 tenant segments with limited digital access.
Consider adding: Face-to-face interviews in high-density rental corridors and a focused FGD layer to pressure-test landlord trust and affordability messaging.

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 rental housing and tenant mobility space.

CASELET 1

Tenant segment preferences & lease renewal friction (India)

CASELET 2

Relocation decision journey & broker channel trust (NCR)

Tenant segment preferences & lease renewal friction (India)

OBJECTIVE

A mid-size residential property management platform needed to isolate why young professional tenants and relocating family households differed sharply on lease renewal intent , and which friction points in the renewal process drove early vacancy decisions.

WHAT WE DID

Ran a structured quant survey across 6 metros with 480 respondents, capturing renewal trigger timelines, rent tolerance thresholds, landlord responsiveness ratings, and competing housing options shortlisted at the point of renewal consideration, segmented by household type and tenure length.

DELIVERED

A segment-level friction map ranking 14 renewal barriers by tenant type, a rent tolerance corridor by city and household profile, and a channel levers list identifying which landlord touchpoints most strongly shifted renewal probability for each segment.
CASELET 1

Tenant segment preferences & lease renewal friction (India)

CASELET 2

Relocation decision journey & broker channel trust (NCR)

Tenant segment preferences & lease renewal friction (India)

OBJECTIVE

A mid-size residential property management platform needed to isolate why young professional tenants and relocating family households differed sharply on lease renewal intent , and which friction points in the renewal process drove early vacancy decisions.

WHAT WE DID

Ran a structured quant survey across 6 metros with 480 respondents, capturing renewal trigger timelines, rent tolerance thresholds, landlord responsiveness ratings, and competing housing options shortlisted at the point of renewal consideration, segmented by household type and tenure length.

DELIVERED

A segment-level friction map ranking 14 renewal barriers by tenant type, a rent tolerance corridor by city and household profile, and a channel levers list identifying which landlord touchpoints most strongly shifted renewal probability for each segment.

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 short-term renters, long-term lease holders and co-living residents?

How will you measure rental property preference beyond simple ratings?

Will the survey map the full tenant rental journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our tenant acquisition and retention conversion rates?

Still have questions?

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

Book a Discovery Call