REAL ESTATE & SECOND HOMES

Vacation Home & Second Property Purchase Survey

Map how prospective second-property buyers evaluate location, financing options, and rental yield potential, so you can sharpen acquisition targeting, refine pricing tiers, and convert high-intent segments faster.

Multi-Market Sample
Second-property buyers (Active Purchase Consideration)
15-20 min
Talk to a Survey Consultant
Journey friction & drop-offsIdentify where buyers stall between shortlisting, site visits, and purchase commitment.
Pricing sensitivity & segment trade-offsBenchmark budget thresholds, financing preferences, and yield expectations across buyer profiles.
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 second-home developers don't lose qualified buyers purely on price. They lose them due to unclear lifestyle fit, misread location priorities, financing friction, seasonal use ambiguity, and competing rental yield expectations, none of which fully show up in portal enquiry data or CRM lead scores.

If you are...

  • Resort or leisure developer
  • Luxury second-home brand
  • Property investment platform
  • Residential sales or revenue head
  • Portfolio strategy or land acquisition lead

You're likely facing...

  • Enquiry-to-site-visit conversion drop
  • Lifestyle vs investment buyer confusion
  • Location shortlist: hills vs coast vs city-fringe
  • Financing hesitation at booking stage
  • Rental yield vs personal use tension

This will help answer...

  • Primary purchase motivation drivers
  • Funnel drop-off at site visit
  • Buyer segment by use intent
  • Pricing ceiling by location tier
  • Resale or exit trigger signals

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete second-property buyer journey from initial consideration to post-purchase commitment.

TENETS 01

Discovery & Triggers

  • Purchase trigger events, life stage
  • First information source consulted
TENETS 02

Location Preference

  • Destination type, proximity criteria
  • Coastal, hill station, urban fringe
TENETS 03

Property & Format

  • Property type, configuration preference
  • Managed resort vs. standalone ownership
TENETS 04

Purchase Journey

  • Channel mix, site visit frequency
  • Drop-off points, re-engagement triggers
TENETS 05

Pricing & Financing

  • Budget range, loan-to-value appetite
  • Second home loan vs. self-funding split
TENETS 06

Rental & Returns

  • Short-term rental intent, yield expectations
  • Platform preference, occupancy benchmarks
TENETS 07

Developer Trust

  • RERA compliance, delivery track record
  • Brand reputation vs. price trade-off
TENETS 08

Post-Purchase Intent

  • Usage frequency, personal vs. rental split
  • Referral likelihood, repeat purchase horizon

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 Vacation Home and Second Property Purchase Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across buyer segments and geographies.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking purchase drivers by property type and location
2
Mapping financing preferences across buyer segments
3
Benchmarking intent scores by income band
Deliverables
Driver ranking
Segment intent matrix
Financing preference bands
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older high-net-worth buyers with low digital engagement
2
Rapid coverage across secondary and tertiary resort markets
Deliverables
Buyer segment coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Ultra-high-net-worth buyers evaluating luxury resort properties
2
Buyers in emerging vacation corridors requiring on-site verification
Deliverables
Cohort journey maps
Location cluster 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, supported by CATI to reach older and low-digital buyer segments in secondary vacation markets.
Consider adding: Face-to-face interviews for ultra-high-net-worth cohorts evaluating luxury or resort properties, and FGDs to pressure-test proposition and messaging concepts before go-to-market.

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 residential property and second-home buying space.

CASELET 1

Resort & leisure property pricing corridor study (South India)

CASELET 2

Second-home purchase journey & messaging territories (West India)

Resort & leisure property pricing corridor study (South India)

OBJECTIVE

A mid-size residential developer needed to quantify how high-net-worth first-time buyers and repeat property investors set price thresholds for leisure-oriented properties, and which location attributes shifted those thresholds upward.

WHAT WE DID

Ran a structured quant survey across 420 respondents in four metro feeder cities, capturing willingness-to-pay bands, location attribute rankings, amenity trade-offs, and financing intent by buyer segment and household income tier.

DELIVERED

A segment-level pricing corridor map , a ranked attribute value framework showing which features justified premium positioning, and a set of channel levers identifying where each buyer segment first engaged with the category.
CASELET 1

Resort & leisure property pricing corridor study (South India)

CASELET 2

Second-home purchase journey & messaging territories (West India)

Resort & leisure property pricing corridor study (South India)

OBJECTIVE

A mid-size residential developer needed to quantify how high-net-worth first-time buyers and repeat property investors set price thresholds for leisure-oriented properties, and which location attributes shifted those thresholds upward.

WHAT WE DID

Ran a structured quant survey across 420 respondents in four metro feeder cities, capturing willingness-to-pay bands, location attribute rankings, amenity trade-offs, and financing intent by buyer segment and household income tier.

DELIVERED

A segment-level pricing corridor map , a ranked attribute value framework showing which features justified premium positioning, and a set of channel levers identifying where each buyer segment first engaged with the category.

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 first-time second-home buyers, repeat vacation property investors and fractional ownership seekers?

How will you measure property location and amenity preference beyond simple ratings?

Will the survey map the full second-home purchase journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our inventory launch and channel strategy?

Still have questions?

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

Book a Discovery Call