AGRI-FINTECH & FARM CREDIT

Agri-Fintech Dealer Farm Credit Product Advisory & Recommendation Survey

Capture how agri-input dealers evaluate, compare, and choose farm credit products for their farmer customers across eligibility, repayment terms, and disbursal speed, so you can sharpen acquisition targeting, fix pricing tiers, and strengthen channel conversion.

Pan-India sample
Agri-input dealers (Farm Credit Advisors)
15-20 min
Talk to a Survey Consultant
Recommendation friction & drop-offsIdentify where dealers hesitate, stall, or switch credit products mid-recommendation.
Product fit & segment gapsBenchmark credit product attributes against dealer-stated farmer segment priorities.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most agri-fintech lenders don't lose dealer farm credit business purely on interest rates. They lose it due to misaligned loan ticket sizes, opaque eligibility criteria, weak dealer trust, seasonal cash-flow mismatches, and poor last-mile servicing, none of which fully show up in disbursement MIS reports or dealer onboarding trackers.

If you are...

  • Agri-fintech vs rural NBFC competition

  • Bank positioning against Kisan credit

  • Farm credit product head

  • Dealer network expansion lead

  • Rural lending growth teams

You're likely facing...

  • Dealer fit confusion: fintech vs NBFC

  • Drop-offs: eligibility or disbursement stage

  • Agri-fintechs = fast/unproven perception

  • Banks = trusted/slow perception

  • Seasonal renewal gaps and switching

This will help answer...

  • Credit product preference drivers

  • Dealer journey drop-off stage

  • Segment fit by farm size

  • Fee, tenure, ticket tension

  • Renewal and cross-sell triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete farm credit journey from dealer touchpoint to loan renewal.

TENETS 01

Discovery & Awareness

  • First credit touchpoint, dealer or bank
  • Kisan credit card vs. agri-fintech awareness
TENETS 02

Preference Drivers

  • Crop cycle alignment, repayment flexibility
  • Dealer trust vs. lender brand weight
TENETS 03

Product & Servicing

  • Input-linked credit vs. cash disbursement
  • Post-disbursal support, RM accessibility
TENETS 04

Journey Friction

  • Documentation barriers, KYC drop-offs
  • Language and literacy friction points
TENETS 05

Pricing & WTP

  • Interest rate tolerance, processing fee sensitivity
  • Subvention scheme awareness, uptake gaps
TENETS 06

Usage & Renewal

  • Repeat borrowing rate, seasonal credit cycles
  • Credit limit utilisation across kharif and rabi
TENETS 07

Trust & Credibility

  • Dealer endorsement weight, lender reputation signals
  • Default anxiety, data privacy concerns
TENETS 08

Competitive Positioning

  • Agri-fintech vs. cooperative bank preference gaps
  • Dealer-embedded credit vs. standalone app adoption
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?
Not Selected
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 Agri-Fintech Dealer Farm Credit Product Advisory & Recommendation Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across dealer and farmer segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking farm credit product preferences by dealer tier
2
Quantifying farmer credit barriers by crop segment
3
Benchmarking KCC vs agri-NBFC uptake across geographies
Deliverables
Product preference ranking
Credit barrier matrix
Dealer segment scorecard
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Rural agri-dealers with low digital access
2
Quick coverage across dispersed mandis and clusters
Deliverables
Rural dealer coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-volume dealers handling large farm credit portfolios
2
Contextual mapping of local agri-fintech adoption barriers
Deliverables
Cluster insights
Dealer journey maps
OPTIONAL
FGDs
Deliverables
Themes and quotes
Product 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 to capture rural agri-dealers and low-digital farmer-facing respondents across dispersed geographies.
Consider adding: F2F for high-volume dealer clusters and a focused FGD layer to pressure-test farm credit product propositions and refine dealer advisory messaging.
Confirm approach
Request timeline

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 agri-fintech and rural credit space.

CASELET 1

Input dealer credit channel preference & friction mapping (North India)

CASELET 2

Farm equipment financier messaging & positioning audit (Western India)

Input dealer credit channel preference & friction mapping (North India)

OBJECTIVE

A regional agri-input distributor needed to quantify how small-format input retailers and village-level dealers chose between manufacturer credit lines , cooperative loans , and NBFC working capital products to stock seasonal inventory.

WHAT WE DID

Ran a structured quant survey across 320 input dealers in 6 districts, capturing credit source shortlists , stocking cycle timing , collateral tolerance , repayment preference , and documentation friction scores by dealer tier and crop season.

DELIVERED

A dealer credit preference map by tier, a ranked friction list across 4 lender types, a seasonal credit demand corridor , and a set of channel levers to improve first-draw conversion among first-time NBFC borrowers.
Talk to Survey Consultant
CASELET 1

Input dealer credit channel preference & friction mapping (North India)

CASELET 2

Farm equipment financier messaging & positioning audit (Western India)

Input dealer credit channel preference & friction mapping (North India)

OBJECTIVE

A regional agri-input distributor needed to quantify how small-format input retailers and village-level dealers chose between manufacturer credit lines , cooperative loans , and NBFC working capital products to stock seasonal inventory.

WHAT WE DID

Ran a structured quant survey across 320 input dealers in 6 districts, capturing credit source shortlists , stocking cycle timing , collateral tolerance , repayment preference , and documentation friction scores by dealer tier and crop season.

DELIVERED

A dealer credit preference map by tier, a ranked friction list across 4 lender types, a seasonal credit demand corridor , and a set of channel levers to improve first-draw conversion among first-time NBFC borrowers.

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 input dealers, equipment dealers and cooperative channel partners?

How will you measure dealer product recommendation beyond simple ratings?

Will the survey map the full dealer-facilitated farm credit journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our dealer activation and disbursement targets?

Still have questions?

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

Book a Discovery Call