RETAIL BANKING & HOME FINANCE

Home Loan Prepayment & Refinancing Survey

Measure how active home loan borrowers evaluate prepayment timing, compare refinancing offers, and weigh lender-switching costs, so you can sharpen acquisition targeting, fix retention pricing, and improve balance-transfer conversion.

Pan-India sample
Home loan borrowers (Active Repayment Stage)
15-20 min
Talk to a Survey Consultant
Switching triggers & drop-offsIdentify where borrowers stall, disengage, or abandon balance-transfer applications mid-process.
Prepayment intent & rate sensitivityBenchmark prepayment thresholds, rate-cut triggers, and tenure-reduction preferences by borrower segment.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most home lenders don't lose borrowers purely on interest rate. They lose them due to opaque prepayment penalties, misread refinancing triggers, poor tenure flexibility, weak retention outreach, and misaligned product positioning, none of which fully show up in loan management systems or portfolio attrition reports.

If you are...

  • Bank vs HFC rate competition
  • HFC positioning on flexibility
  • Home loan product head
  • Retail lending growth lead
  • Mortgage retention strategy team

You're likely facing...

  • Prepayment surge: rate cut cycle
  • Refinance drop-off: documentation stage
  • Banks = credible/inflexible perception
  • HFCs = flexible/costlier perception
  • Balance transfer vs loyalty gap

This will help answer...

  • Prepayment trigger beyond rate
  • Refinancing funnel drop-off stage
  • Bank vs HFC segment fit
  • Fee and penalty tolerance thresholds
  • Balance transfer switching triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete borrower journey from loan origination to full prepayment exit.

TENETS 01

Trigger & Awareness

  • Prepayment trigger events, timing
  • Refinancing awareness, information sources
TENETS 02

Preference Drivers

  • Partial vs. full prepayment preference
  • Refinancing vs. prepayment trade-offs
TENETS 03

Product & Charges

  • Prepayment penalty structure, waivers
  • Refinancing fee components, hidden costs
TENETS 04

Journey Friction

  • Documentation burden, turnaround time
  • Drop-off points across refinancing stages
TENETS 05

Pricing & WTP

  • Interest rate differential, switching threshold
  • Willingness to pay, fee tolerance bands
TENETS 06

Channel & Servicing

  • RM support vs. digital self-service
  • Prepayment portal usability, statement access
TENETS 07

Trust & Retention

  • Lender retention attempts, counter-offers
  • Trust signals, post-transaction satisfaction
TENETS 08

Competitive Positioning

  • Lender shortlist criteria, switching patterns
  • Bank vs. HFC vs. NBFC preference shifts

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 Home Loan Prepayment and Refinancing 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 prepayment triggers by borrower segment
2
Measuring refinancing intent across lender types
3
Benchmarking rate sensitivity by loan tenure
Deliverables
Trigger ranking matrix
Refinancing intent scores
Rate sensitivity bands
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Borrowers with low digital access or comfort
2
Quick coverage across Tier 2 and Tier 3 cities
Deliverables
Tier-wise coverage data
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-ticket borrowers with complex refinancing decisions
2
Segments requiring document-level verification and context
Deliverables
Borrower journey maps
High-value cohort profiles
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 for Tier 2 and Tier 3 borrowers with lower digital comfort.
Consider adding: Face-to-face interviews for high-ticket refinancing cohorts and a focused FGD layer to pressure-test lender communication and prepayment messaging.

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 retail home lending space.

CASELET 1

Fixed vs. floating rate preference & switching triggers (India)

CASELET 2

Balance transfer messaging & channel friction audit (West India)

Fixed vs. floating rate preference & switching triggers (India)

OBJECTIVE

A mid-size housing finance company needed to map how salaried borrowers and self-employed borrowers weigh rate type preference , tenure flexibility , and lender trust when deciding whether to stay or switch at the next reset cycle.

WHAT WE DID

Ran a structured quant survey across 8 cities with 420 active home loan holders, capturing rate sensitivity thresholds , reset awareness levels , lender communication frequency , and the specific triggers that moved borrowers from passive dissatisfaction to active switching intent.

DELIVERED

A rate sensitivity corridor by borrower segment, a ranked switching trigger list by loan vintage, a retention lever framework for relationship managers, and a communication timing map tied to reset windows and EMI review moments.
CASELET 1

Fixed vs. floating rate preference & switching triggers (India)

CASELET 2

Balance transfer messaging & channel friction audit (West India)

Fixed vs. floating rate preference & switching triggers (India)

OBJECTIVE

A mid-size housing finance company needed to map how salaried borrowers and self-employed borrowers weigh rate type preference , tenure flexibility , and lender trust when deciding whether to stay or switch at the next reset cycle.

WHAT WE DID

Ran a structured quant survey across 8 cities with 420 active home loan holders, capturing rate sensitivity thresholds , reset awareness levels , lender communication frequency , and the specific triggers that moved borrowers from passive dissatisfaction to active switching intent.

DELIVERED

A rate sensitivity corridor by borrower segment, a ranked switching trigger list by loan vintage, a retention lever framework for relationship managers, and a communication timing map tied to reset windows and EMI review moments.

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 fixed-rate borrowers, floating-rate borrowers and balance-transfer switchers?

How will you measure refinancing preference beyond simple ratings?

Will the survey map the full prepayment and refinancing journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our borrower retention and cross-sell conversion?

Still have questions?

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

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