REAL ESTATE & RENTAL HOUSING

Co-living Space vs Traditional Rental Preference Survey

Measure how urban renters evaluate, compare, and choose between co-living spaces and traditional rentals on cost, flexibility, and amenity expectations, so you can sharpen acquisition targeting, refine pricing tiers, and improve conversion across renter segments.

Pan-India sample
Urban renters (Active housing decision-makers)
15-20 min
Talk to a Survey Consultant
Switching triggers & drop-offsIdentify where prospective renters hesitate, stall, or abandon co-living inquiries.
Pricing sensitivity & segment trade-offsBenchmark willingness-to-pay thresholds across renter profiles and lease-length preferences.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most co-living operators don't lose prospective tenants purely on rent price. They lose them due to unclear community value, misread lifestyle priorities, lease flexibility gaps, amenity mismatches, and location trade-off confusion, none of which fully show up in listing platform analytics or occupancy dashboards.

If you are...

  • Co-living operator vs traditional landlord
  • Build-to-rent portfolio head
  • Residential product planning lead
  • Tenant acquisition and retention head
  • Real estate strategy and expansion team

You're likely facing...

  • Co-living vs rental fit confusion
  • Lease drop-offs: flexibility vs commitment
  • Co-living = social/expensive perception
  • Traditional rental = stable/inflexible perception
  • Segment switching at renewal stage

This will help answer...

  • Preference drivers beyond monthly rent
  • Lease decision drop-off stage
  • Segment split by lifestyle profile
  • Willingness to pay for amenities
  • Renewal triggers and switching signals

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete renter journey from housing search to long-term tenure commitment.

TENETS 01

Discovery & Awareness

  • First touchpoint, channel source
  • Co-living brand recall, visibility
TENETS 02

Preference Drivers

  • Co-living vs. traditional rental pull factors
  • Lifestyle fit, flexibility priority
TENETS 03

Pricing & WTP

  • Monthly rent tolerance by city tier
  • All-inclusive vs. itemised billing preference
TENETS 04

Lease & Flexibility

  • Minimum lock-in period tolerance
  • Notice period, exit clause expectations
TENETS 05

Community & Social

  • Peer interaction, community event value
  • Privacy vs. shared space trade-off
TENETS 06

Journey Friction

  • Drop-off points, booking abandonment triggers
  • Onboarding delays, move-in friction
TENETS 07

Trust & Safety

  • Operator credibility, review reliance
  • Safety standards, female renter concerns
TENETS 08

Retention & Switching

  • Renewal intent, tenure extension triggers
  • Switching reasons, competitor pull factors

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 Co-living Space vs Traditional Rental Preference 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
Ranking co-living vs traditional rental preference drivers.
2
Comparing segments by age, income, and city tier.
3
Measuring willingness-to-pay across housing formats.
Deliverables
Preference driver ranking
Segment comparison matrix
Rent tolerance bands
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Renters in Tier 2 and Tier 3 cities.
2
Quick coverage across multiple residential micro-markets.
Deliverables
City-tier coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-mobility professionals in co-living dense corridors.
2
Older renters with low digital comfort needing verification.
Deliverables
Corridor insights
Rich journey maps
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 urban renters aged 22 to 40 across Tier 1 and Tier 2 cities, supplemented by CATI for lower-digital segments in emerging rental markets.
Consider adding: F2F interviews in high-density co-living corridors and a focused FGD layer to pressure-test value propositions around pricing, privacy, and community amenities.

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
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$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 residential rental and shared living space.

CASELET 1

Rental tenure decision & lease renewal intent (Urban India)

CASELET 2

Shared accommodation messaging & channel fit (Metro India)

Rental tenure decision & lease renewal intent (Urban India)

OBJECTIVE

A mid-size residential property platform needed to map how young urban professionals and nuclear family renters weigh lease flexibility against monthly outflow when deciding to renew, relocate, or shift housing format.

WHAT WE DID

Ran a structured quant survey across 6 Tier-1 and Tier-2 cities with 480 respondents, capturing lease tenure preferences, rent-to-income thresholds, amenity trade-offs, and trigger events that prompted the last housing decision.

DELIVERED

A segment preference map by renter archetype, a ranked amenity priority framework , a price sensitivity corridor by city tier, and a list of decision triggers that precede a housing format switch.
CASELET 1

Rental tenure decision & lease renewal intent (Urban India)

CASELET 2

Shared accommodation messaging & channel fit (Metro India)

Rental tenure decision & lease renewal intent (Urban India)

OBJECTIVE

A mid-size residential property platform needed to map how young urban professionals and nuclear family renters weigh lease flexibility against monthly outflow when deciding to renew, relocate, or shift housing format.

WHAT WE DID

Ran a structured quant survey across 6 Tier-1 and Tier-2 cities with 480 respondents, capturing lease tenure preferences, rent-to-income thresholds, amenity trade-offs, and trigger events that prompted the last housing decision.

DELIVERED

A segment preference map by renter archetype, a ranked amenity priority framework , a price sensitivity corridor by city tier, and a list of decision triggers that precede a housing format switch.

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 young professionals, students and relocating families?

How will you measure housing format preference beyond simple ratings?

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

Can this survey inform product and pricing strategy?

How will findings improve our tenant acquisition and retention strategy?

Still have questions?

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

Book a Discovery Call