Affordable Housing Buyer Channel Preference & Broker Advisory Reliance Survey
Map how first-time homebuyers in affordable segments evaluate digital portals, broker networks, and developer direct channels, so you can sharpen acquisition strategy, convert channel spend, and benchmark broker dependency by segment.
CONTEXT & RELEVANCE
Why run this survey now
Most affordable housing developers don't lose buyers purely on unit price. They lose them due to broker misinformation, channel trust gaps, digital discovery friction, site visit drop-offs, and misaligned payment scheme communication, none of which fully show up in CRM pipelines or site visit logs.
If you are...
- Affordable segment developer or builder
- Channel partner network head
- Housing finance product lead
- Sales and revenue planning head
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete affordable housing buyer journey from site discovery to registration.
Discovery & Awareness
- First information source contacted
- Channel reach across income segments
Channel Preference
- Direct builder vs. broker route
- Digital portal vs. offline touchpoints
Broker Reliance
- Advisory depth at each purchase stage
- Broker fee tolerance vs. perceived value
Journey Friction
- Drop-off points across purchase stages
- Documentation and approval delays
Pricing & Affordability
- EMI-to-income ratio thresholds
- Subsidy awareness and utilisation
Home Loan Navigation
- Lender selection criteria and influencers
- Broker role in loan facilitation
Trust & Credibility
- RERA compliance as purchase signal
- Builder reputation verification methods
Post-Booking Experience
- Construction update frequency and format
- Broker engagement after booking closure
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 Affordable Housing Buyer Channel Preference & Broker Advisory Reliance 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 affordable housing and home-buyer research space.
Home-loan channel preference & lender shortlisting behaviour (North India)
OBJECTIVE
WHAT WE DID
DELIVERED
Home-loan channel preference & lender shortlisting behaviour (North India)
Broker advisory reliance & trust formation among repeat buyers (West India)
Home-loan channel preference & lender shortlisting behaviour (North India)
OBJECTIVE
A regional housing finance company needed to map how first-time home-loan applicants in Tier 2 cities shortlist lenders, weigh direct branch visits against DSA referrals , and decide when to commit to a single lender.
WHAT WE DID
Ran a structured quant survey across 420 recent applicants in six Tier 2 cities, capturing lender shortlist size, channel of first contact, documentation friction scores, and stated reasons for final lender selection at each income bracket.
DELIVERED
A channel preference map by income segment, a ranked friction list across the application journey, and a set of channel levers identifying where direct outreach displaced DSA influence for sub-40-lakh ticket sizes.
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 broker-led buyers, developer direct buyers and digital platform buyers?
How will you measure broker advisory reliance beyond simple ratings?
Will the survey map the full affordable housing purchase journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our broker network and channel investment decisions?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.