Property Portal Usage & Home Search Behaviour Survey
Map how active home seekers evaluate listings, compare portals, and choose between digital and broker-assisted channels, so you can sharpen acquisition targeting, fix conversion drop-offs, and benchmark portal positioning against direct competitors.
CONTEXT & RELEVANCE
Why run this survey now
Most property portals don't lose active home searchers purely on listing volume. They lose them due to poor search relevance, mismatched locality filters, trust gaps with listed prices, weak shortlisting tools, and friction at the agent handoff stage, none of which fully show up in session analytics or listing click-through reports.
If you are...
- Portal competing on inventory depth
- New portal challenging established players
- Product head, search experience
- Revenue lead, developer partnerships
- Strategy head, portal growth
You're likely facing...
- Search-to-shortlist drop-off gap
- Portal trust vs. broker trust tension
- Listing accuracy: price vs. reality
- Multi-portal usage, low stickiness
- Lead quality vs. lead volume conflict
This will help answer...
- Primary portal selection drivers
- Search-to-contact funnel drop-off
- Segment preference by buyer stage
- Pricing transparency and trust gaps
- Portal switching and retention triggers
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete home seeker journey from portal discovery to purchase commitment.
Portal Discovery
- First portal encountered, channel source
- Referral, search, or app store entry
Portal Preference
- Primary portal chosen, switching frequency
- Multi-portal usage patterns, session depth
Search Behaviour
- Filter usage, locality shortlisting sequence
- Session frequency, saved search patterns
Listing Trust
- Listing accuracy perception, photo authenticity
- Verified tag reliance, agent credibility signals
Journey Friction
- Drop-off points, unanswered inquiry rate
- Site visit scheduling gaps, callback delays
Pricing Signals
- Price transparency, locality rate benchmarking
- EMI calculator usage, cost-to-own visibility
Offline Crossover
- Portal-to-broker handoff, site visit conversion
- Channel switching triggers, agent role post-portal
Portal Advocacy
- Recommendation likelihood, repeat usage intent
- Satisfaction drivers, post-purchase portal return
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.
METHODOLOGY
Survey approach
For the Property Portal Usage and Home Search Behaviour Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and 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
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
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
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
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 search space.
Listing platform preference & shortlisting behaviour among urban renters (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Listing platform preference & shortlisting behaviour among urban renters (India)
Home buyer journey mapping & portal messaging territories (West India)
Listing platform preference & shortlisting behaviour among urban renters (India)
OBJECTIVE
A mid-size property listing platform needed to isolate how urban renters across metro and Tier-1 cities shortlist properties, which platform features drive return visits, and where broker-assisted search displaces self-serve digital journeys.
WHAT WE DID
Ran a structured quant survey across 600 active renters in 6 cities, capturing platform visit frequency, filter usage patterns, listing trust signals, broker contact triggers, and the point at which users abandoned digital search for offline assistance.
DELIVERED
A platform preference map by renter segment, a ranked feature friction list by city tier, a trust signal framework for listing quality, and channel levers to reduce broker-assisted drop-off among first-time renters.
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 buyers, repeat buyers and renters?
How will you measure portal preference beyond simple ratings?
Will the survey map the full home search journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our portal acquisition and retention strategy?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.