Real Estate Agency Client NPS Survey
Hear from property buyers, sellers, landlords, and tenants as they evaluate agent expertise, compare service quality, choose representation, and navigate transactions, so you can strengthen referrals, sharpen positioning, improve retention, and prioritise acquisition channels.
CONTEXT & RELEVANCE
Why run this survey now
Most real estate agencies don't lose advocacy purely on commission. They underperform due to inconsistent communication, weak expectation setting, opaque fees, and post-transaction silence, none of which fully show up in CRM dashboards or review scores.
If you are...
- Agency owners and principals
- Client experience leaders
- Branch and franchise heads
- Sales and marketing directors
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete agency client journey from discovery to advocacy.
Awareness & Selection
- Agency discovery channels
- Shortlist selection criteria
Expectations & Onboarding
- Pre-engagement service expectations
- Mandate and fee clarity
Agent Expertise
- Market knowledge confidence
- Advisory relevance & accuracy
Communication & Responsiveness
- Update frequency preferences
- Query resolution consistency
Transaction Execution
- Process coordination quality
- Delay and friction points
Fees & Value
- Commission fairness perceptions
- Service value trade-offs
Trust & Advocacy
- Recommendation likelihood drivers
- Trust and transparency signals
Recovery & Retention
- Complaint recovery effectiveness
- Repeat engagement potential
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 Real Estate Agency Client NPS Survey, we recommend a digital-first mixed-method approach with flexible data-collection modes to balance reach, depth, and verification across transaction types, client groups, and agency models.
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 across the real estate services space.
Brokerage Selection Drivers and Message Positioning Study (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Brokerage Selection Drivers and Message Positioning Study (India)
Seller Service Package and Fee Architecture Exploration (United Kingdom)
Brokerage Selection Drivers and Message Positioning Study (India)
OBJECTIVE
A pan-India brokerage network needed to understand how first-time buyers , repeat investors , and property sellers compared local brokers , national agencies , and digital platforms when selecting representation for residential transactions across major cities.
WHAT WE DID
We ran a structured online survey across six metros, balancing buyer stage , property value , and agency model . The questionnaire captured awareness, consideration, trust cues, fee expectations, channel influence, and message preference.
DELIVERED
The engagement produced a brokerage preference map , message territory hierarchy , channel influence matrix , and segment-level consideration framework , showing how selection criteria shifted across first-time buyers, investors, and sellers without attributing commercial outcomes.
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 buyers, sellers and landlords?
How will you measure agency preference beyond simple ratings?
Will the survey map the full agency client journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our referral and retention strategy?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.