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Home ❯Ken Survey ❯
AUTO FINANCE

Vehicle Financing Experience Survey

Understand how vehicle buyers evaluate lenders, compare repayment structures, and navigate approval and servicing experiences, so you can sharpen acquisition, optimise pricing, and strengthen retention across dealer, digital, and direct financing channels.

Pan-India sample
Vehicle borrowers (Primary applicants)
15-20 min
Talk to a Survey Consultant
Rate & ApprovalIdentify lender selection drivers that convert vehicle shoppers into applicants.
Cost & ConvenienceMap financing trade-offs across rates, tenure, eligibility, and service.
TRUSTED BY LEADING BRANDS
Brand 0Brand 1Brand 2Brand 3Brand 4Brand 5Brand 6Brand 7Brand 8Brand 9Brand 10Brand 11Brand 12Brand 13Brand 14Brand 15Brand 16Brand 17Brand 18Brand 19Brand 20Brand 21Brand 22Brand 23Brand 24Brand 25Brand 26Brand 27Brand 28Brand 29Brand 30Brand 31
container image

CONTEXT & RELEVANCE

Why run this survey now

Most vehicle financiers don't lose borrowers purely on interest rates. They lose them through unclear eligibility, dealer pressure, approval delays, hidden charges, and weak servicing, none of which fully show up in application data or complaint logs.

If you are...

  • Vehicle finance product leaders
  • Retail lending strategy teams
  • Dealer channel managers
  • Credit risk executives
  • Customer experience heads

You're likely facing...

  • Strong enquiry volumes but weak application completion across channels
  • Competitive rates coexist with low lender preference among buyers
  • Approval delays create dealer-led customer leakage before disbursal
  • Limited visibility into hidden fee sensitivity weakens pricing decisions
  • Positive onboarding followed by poor servicing loyalty after purchase

This will help answer...

  • Lender choice drivers
  • Approval friction hotspots
  • Acceptable pricing corridors
  • Channel conversion gaps
  • Servicing retention levers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete vehicle financing journey from lender discovery to loan servicing.

TENETS 01

Awareness & Consideration

  • Lender awareness sources
  • Initial shortlist criteria
TENETS 02

Lender Choice

  • Rate and fee trade-offs
  • Trust and convenience cues
TENETS 03

Application & Documentation

  • Application effort and clarity
  • Documentation burden points
TENETS 04

Approval & Disbursal

  • Eligibility and approval confidence
  • Decision and disbursal speed
TENETS 05

Pricing & Affordability

  • Instalment and tenure comfort
  • Fee and penalty sensitivity
TENETS 06

Dealer & Channel

  • Dealer influence and transparency
  • Digital and branch preferences
TENETS 07

Digital & Support

  • Digital journey usability
  • Assisted support effectiveness
TENETS 08

Servicing & Loyalty

  • Repayment and account servicing
  • Retention and advocacy potential
Request a scope validation call

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?
Less than 300300-500500-1,0001,000-3,0003,000+Not sure yet (recommend based on markets and cuts required)
Target audience
Who should we survey?
New car borrowersUsed car borrowersTwo-wheeler borrowersCommercial vehicle borrowersRefinance customers
Region
Which regions should we cover?
NorthSouthWestEastPan-IndiaMulti-country
Segments
How should we slice the data?
Vehicle type: Car vs two-wheeler vs commercial vehicleLoan stage: Applicant vs approved borrower vs active borrowerLender type: Bank vs NBFC vs captive financierTicket size: Below ₹5 lakh vs ₹5-15 lakh vs above ₹15 lakhChannel: Dealer-led vs digital-direct vs branch-assisted
YOUR SELECTION
Clear all
Sample size
Not Selected
Target audience
Not Selected
Region
Not Selected
Segments
Not Selected
Sample size
How many respondents do you need?
Not Selected
Target audience
Who should we survey?
Not Selected
Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected

METHODOLOGY

Survey approach

For Vehicle Financing Experience Survey, we recommend a quant-led borrower journey approach with flexible data-collection modes to balance reach, depth, and verification across lender types, vehicle categories, and financing channels.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Benchmark lender consideration
2
Quantify application friction
3
Compare servicing experiences
Deliverables
Lender preference map
Journey friction index

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)
  • United Arab Emirates Dirham (AED)
  • 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)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • 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)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • 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

Cost Breakdown

Questionnaire DesignIncluded

Data Collection (CPI + 50C)Variable

Analysis & ReportIncluded
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 vehicle lending and mobility finance space.

CASELET 1

Dealer Finance Conversion Drivers Study for Passenger Vehicles (India)

CASELET 2

Vehicle Loan Repayment Flexibility Segmentation Study (South India)

Dealer Finance Conversion Drivers Study for Passenger Vehicles (India)

OBJECTIVE

A pan-India captive financier sought to understand why first-time car buyers , replacement buyers , and premium buyers accepted dealer quotations but selected competing bank or non-bank offers before completing finance applications.

WHAT WE DID

We ran a structured survey across metro and tier-two dealerships, measuring rate transparency , approval confidence , documentation effort, dealer influence, offer comparison, and abandonment timing among recent vehicle purchasers and active finance shoppers.

DELIVERED

Outputs included a lender preference map , application friction list , dealer-stage channel levers , and message territories separating affordability, speed, trust, and flexibility cues for use across dealership scripts and acquisition communications.
Talk to Survey Consultant
CASELET 1

Dealer Finance Conversion Drivers Study for Passenger Vehicles (India)

CASELET 2

Vehicle Loan Repayment Flexibility Segmentation Study (South India)

Dealer Finance Conversion Drivers Study for Passenger Vehicles (India)

OBJECTIVE

A pan-India captive financier sought to understand why first-time car buyers , replacement buyers , and premium buyers accepted dealer quotations but selected competing bank or non-bank offers before completing finance applications.

WHAT WE DID

We ran a structured survey across metro and tier-two dealerships, measuring rate transparency , approval confidence , documentation effort, dealer influence, offer comparison, and abandonment timing among recent vehicle purchasers and active finance shoppers.

DELIVERED

Outputs included a lender preference map , application friction list , dealer-stage channel levers , and message territories separating affordability, speed, trust, and flexibility cues for use across dealership scripts and acquisition communications.

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 new car, used car and commercial vehicle borrowers?

How will you measure lender choice beyond simple ratings?

Will the survey map the full vehicle financing journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our borrower acquisition and dealer channel strategy?

Still have questions?

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

Book a Discovery Call
Borrower segment cuts
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Reaching borrowers with limited digital survey access
2
Validating complex fee and repayment experiences
Deliverables
Fee sensitivity cuts
Approval issue log
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Interviewing borrowers at dealer and branch touchpoints
2
Capturing commercial vehicle financing in regional clusters
Deliverables
Channel experience map
Regional borrower profiles
OPTIONAL
FGDs
Best for
1
Uncover language behind lender trust and hidden-charge concerns
2
Explore repayment trade-offs across vehicle ownership contexts
Deliverables
Lender message territories
Repayment trade-off framework
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 for recent borrowers and active vehicle finance applicants
Consider adding: CATI for commercial vehicle borrowers and customers with limited digital access
Confirm approach
Request timeline