Auto Loan Financing & Dealer Partnership Survey
Map how vehicle buyers evaluate lenders, compare financing terms, and choose dealer-affiliated versus direct loan channels, so you can sharpen acquisition targeting, fix conversion drop-offs, and benchmark your dealer partnership positioning.
CONTEXT & RELEVANCE
Why run this survey now
Most auto lenders don't lose dealer partnerships purely on interest rate competitiveness. They lose them due to slow credit approvals, opaque subvention structures, misaligned loan-to-value norms, weak floor-plan support, and poor co-branded scheme visibility, none of which fully show up in disbursement MIS reports or dealer satisfaction scorecards.
If you are...
- Bank vs NBFC retail auto lender
- NBFC competing on turnaround speed
- Dealer network financing head
- Vehicle loan product planning lead
- Auto finance distribution growth team
You're likely facing...
- Subvention scheme fit: OEM vs lender
- Drop-offs at credit or valuation stage
- Banks = safe but slow perception
- NBFCs = flexible but costly perception
- Dealer loyalty gaps at renewal cycle
This will help answer...
- Dealer lender preference beyond rate
- Credit stage drop-off triggers
- Bank vs NBFC dealer segment split
- Subvention and fee tension points
- Partnership renewal and switch drivers
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete auto loan journey from dealership entry to post-disbursement retention.
Discovery & Awareness
- First financing touchpoint, channel
- Lender awareness before showroom visit
Preference Drivers
- Rate, tenure, down-payment priority
- Lender type preference, captive vs. bank
Application & Onboarding
- Documentation load, KYC friction
- Digital vs. paper application split
Dealer Partnership Quality
- F&I desk competence, lender alignment
- Dealer-lender co-sell friction points
Pricing & WTP
- Rate sensitivity, subvention awareness
- Fee tolerance, processing charge benchmarks
Servicing & Support
- RM access, self-service portal usage
- EMI modification, top-up request handling
Trust & Loyalty
- Renewal intent, lender switching triggers
- Referral likelihood, advocacy barriers
Competitive Positioning
- Lender share of wallet, conquest triggers
- Fintech vs. traditional lender perception
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 Auto Loan Financing & Dealer Partnership Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across lender and dealer segments.
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 auto loan financing and dealer partnership space.
Dealer financing channel preference & friction mapping (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Dealer financing channel preference & friction mapping (India)
Retail borrower segmentation & loan messaging territories (West India)
Dealer financing channel preference & friction mapping (India)
OBJECTIVE
A pan-India commercial vehicle brand needed to identify why franchise dealers and independent dealers routed retail customers toward specific captive financiers versus third-party NBFCs , and which friction points caused deal drop-offs at the point of finance.
WHAT WE DID
Ran a structured quant survey across 240 dealer outlets in 6 states, capturing financier shortlist criteria , subvention utilisation rates , documentation turnaround benchmarks , and dealer-reported reasons for customer abandonment at the loan sanction stage.
DELIVERED
A financier preference map by dealer tier and geography, a ranked friction list across the sanction-to-disbursal journey, and a set of channel levers to shift dealer routing behaviour toward preferred lending partners.
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 bank-financed, captive-financed and NBFC-financed borrowers?
How will you measure dealer-lender partnership preference beyond simple ratings?
Will the survey map the full auto loan application journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our dealer network conversion and retention?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.