GOLD LOAN & LENDING FINANCE

Gold Loan & Asset-Backed Lending Survey

Measure how gold loan borrowers evaluate, compare, and choose between lenders on LTV ratios, interest rates, and disbursal speed, so you can sharpen acquisition targeting, fix pricing positioning, and improve conversion at branch level.

Pan-India sample
Gold loan borrowers (Active or Recent Applicants)
15-20 min
Talk to a Survey Consultant
Borrower drop-off & frictionIdentify where applicants stall, switch lenders, or abandon gold pledging.
LTV sensitivity & pricing thresholdsBenchmark willingness-to-pay across LTV bands, tenure, and collateral segments.
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CONTEXT & RELEVANCE

Why run this survey now

Most gold loan lenders don't lose borrowers purely on interest rates. They lose them due to valuation opacity, branch accessibility gaps, disbursement delays, collateral trust deficits, and misaligned tenure structures, none of which fully show up in loan origination reports or portfolio dashboards.

If you are...

  • Gold loan NBFC vs bank competition
  • Asset-backed product planning head
  • Lender expanding rural or semi-urban reach
  • Credit risk or underwriting lead
  • Distribution or branch growth head

You're likely facing...

  • Valuation trust gap: branch vs doorstep
  • Drop-offs at collateral assessment stage
  • Banks = safe/slow borrower perception
  • NBFCs = fast/high-rate perception
  • Renewal attrition and pledger switching

This will help answer...

  • Borrower preference drivers beyond rate
  • Collateral stage drop-off triggers
  • NBFC vs bank segment preference
  • Tenure, LTV, and fee sensitivity
  • Renewal and cross-pledge switch triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete gold loan borrower journey from collateral appraisal to renewal or redemption.

TENETS 01

Discovery & Trust

  • First lender approached, channel source
  • Referral triggers, word-of-mouth weight
TENETS 02

Preference Drivers

  • LTV ratio, tenure flexibility
  • NBFC vs. bank selection criteria
TENETS 03

Product & Servicing

  • Bullet loan vs. EMI scheme uptake
  • Overdraft facility, top-up usage
TENETS 04

Journey Friction

  • Drop-offs at KYC, appraisal stages
  • Documentation burden, wait time
TENETS 05

Pricing & WTP

  • Interest rate sensitivity, processing fee tolerance
  • Auction risk awareness, penalty perception
TENETS 06

Usage & Stickiness

  • Repeat borrowing frequency, renewal rate
  • Cross-sell uptake, loyalty triggers
TENETS 07

Trust & Credibility

  • Gold safety perception, vault trust
  • Auction anxiety, lender transparency
TENETS 08

Competitive Positioning

  • Lender switching triggers, share of wallet
  • Digital-first NBFC vs. branch-led preference

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 Gold Loan and Asset-Backed Lending Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across borrower segments and lender types.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking gold loan triggers by borrower segment
2
Benchmarking LTV expectations across lender types
3
Comparing pledging behavior by geography and income band
Deliverables
Trigger ranking matrix
LTV benchmark bands
Segment preference map
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Rural and semi-urban borrowers with low digital access
2
Quick coverage across Tier 2 and Tier 3 lending clusters
Deliverables
Rural borrower coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-ticket pledgers requiring identity and collateral verification
2
Jewellery belt clusters with distinct local lending norms
Deliverables
Cluster lending profiles
Rich collateral journey maps
OPTIONAL
FGDs
Deliverables
Themes and verbatims
Proposition 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 capture rural and semi-urban borrowers with limited digital access.
Consider adding: F2F interviews in high-volume gold lending clusters and a focused FGD layer to sharpen lender positioning and renewal communication.

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)
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  • 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)
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  • Cayman Islands Dollar (KYD)
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  • Lao Kip (LAK)
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  • 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)
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  • 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 secured lending and asset-backed finance space.

CASELET 1

Borrower segment preferences in jewellery-backed credit (South India)

CASELET 2

Branch staff messaging & product positioning for secured personal loans (West India)

Borrower segment preferences in jewellery-backed credit (South India)

OBJECTIVE

A regional NBFC needed to isolate how first-time pledgers , repeat borrowers , and distress-driven applicants differ in their lender selection criteria, preferred loan tenure, and sensitivity to interest rate communication at the branch level.

WHAT WE DID

Ran a structured quant survey across 420 respondents in Tamil Nadu and Kerala, capturing lender shortlist composition , LTV expectations , branch visit frequency , appraisal trust signals , and stated reasons for switching from a previous lender within the prior 18 months.

DELIVERED

A borrower segment framework by pledge motivation and tenure preference, a ranked lender selection criteria map by segment, and a switching trigger list identifying the 4 friction points most likely to displace an incumbent branch relationship.
CASELET 1

Borrower segment preferences in jewellery-backed credit (South India)

CASELET 2

Branch staff messaging & product positioning for secured personal loans (West India)

Borrower segment preferences in jewellery-backed credit (South India)

OBJECTIVE

A regional NBFC needed to isolate how first-time pledgers , repeat borrowers , and distress-driven applicants differ in their lender selection criteria, preferred loan tenure, and sensitivity to interest rate communication at the branch level.

WHAT WE DID

Ran a structured quant survey across 420 respondents in Tamil Nadu and Kerala, capturing lender shortlist composition , LTV expectations , branch visit frequency , appraisal trust signals , and stated reasons for switching from a previous lender within the prior 18 months.

DELIVERED

A borrower segment framework by pledge motivation and tenure preference, a ranked lender selection criteria map by segment, and a switching trigger list identifying the 4 friction points most likely to displace an incumbent branch relationship.

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 gold loan borrowers, property-backed borrowers and multi-asset borrowers?

How will you measure collateral preference and lender selection beyond simple ratings?

Will the survey map the full gold loan and asset-backed borrowing journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our branch network and digital acquisition strategy?

Still have questions?

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

Book a Discovery Call