AGRI-INPUT & CROP PROTECTION

Agri-Input Dealer Pesticide & Fertiliser Brand Push & Farmer Advisory Survey

Agri-input dealers evaluate, compare, and choose which pesticide and fertiliser brands to push based on margins, farmer demand, and company support, so you can sharpen brand positioning, fix channel incentive gaps, and convert dealer advocacy into measurable offtake.

Pan-India sample
Agri-input dealers (Active Pesticide & Fertiliser Retailers)
15-20 min
Talk to a Survey Consultant
Brand push & conversion gapsIdentify which brands dealers actively recommend and the triggers behind each switch.
Advisory behaviour & farmer segmentationMap how dealers segment farmers and tailor crop protection advice by profile.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most agri-input dealers don't lose brand shelf share purely on product availability. They lose it due to misread farmer advisory habits, dealer margin pressure, competing brand pull schemes, weak last-mile brand recall, and misaligned crop-stage timing, none of which fully show up in distributor offtake reports or sales rep call logs.

If you are...

  • Pesticide or fertiliser brand manager

  • Dealer network development head

  • Agri-input regional sales lead

  • Crop protection portfolio strategist

  • Channel trade marketing head

You're likely facing...

  • Brand push vs. farmer pull conflict

  • Dealer advisory loyalty: margin vs. trust

  • Scheme fatigue across competing input brands

  • Crop-stage recommendation timing gaps

  • Private label vs. branded preference shift

This will help answer...

  • Dealer brand push preference drivers

  • Advisory drop-off by crop stage

  • Farmer segment vs. brand loyalty

  • Scheme value vs. margin trade-off

  • Brand switching triggers at counter

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete agri-input dealer journey from brand stocking to farmer advisory outcomes.

TENETS 01

Brand Stocking Drivers

  • Primary stocking criteria, pesticide vs fertiliser
  • Company rep influence on shelf allocation
TENETS 02

Push vs Pull

  • Dealer-initiated brand recommendation rate
  • Farmer-driven brand demand frequency
TENETS 03

Margin & Incentives

  • Trade margin structure across input categories
  • Scheme redemption and loyalty program uptake
TENETS 04

Farmer Advisory Role

  • Crop protection advisory depth at counter
  • Dealer confidence in technical recommendation
TENETS 05

Distributor & Supply

  • Distributor reliability and credit terms
  • Stock-out frequency by brand and season
TENETS 06

Brand Switching Triggers

  • Conditions prompting brand replacement at shelf
  • Competitor brand entry and displacement patterns
TENETS 07

Company Rep Impact

  • Field officer visit frequency and quality
  • Rep support on complaint resolution and returns
TENETS 08

Digital & Loyalty

  • Dealer app adoption and order placement behaviour
  • Loyalty program awareness and redemption gaps
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?
Not Selected
Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected
Discuss sample plan

METHODOLOGY

Survey approach

For the Agri-Input Dealer Pesticide & Fertiliser Brand Push & Farmer Advisory 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 brand push preference across pesticide and fertiliser categories.
2
Measuring farmer advisory frequency by dealer tier.
3
Comparing push behaviour across geographies and crop segments.
Deliverables
Brand push rankings
Advisory frequency 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-input dealers with low digital access.
2
Quick coverage across dispersed mandis and block-level markets.
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 stocking multiple competing agri-input brands.
2
Verifying farmer advisory claims in key crop-growing districts.
Deliverables
Cluster push maps
Advisory verification notes
OPTIONAL
FGDs
Deliverables
Push rationale themes
Advisory script patterns
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 agri-input dealers with limited digital access.
Consider adding: F2F interviews in high-volume dealer clusters across key crop districts, with a targeted FGD layer to isolate the incentive logic and advisory messaging driving brand push behaviour.
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-input distribution and dealer advisory space.

CASELET 1

Fertiliser SKU preference & shelf-push behaviour among input retailers (India)

CASELET 2

Pesticide advisory credibility & farmer trust mapping among agri-dealers (North India)

Fertiliser SKU preference & shelf-push behaviour among input retailers (India)

OBJECTIVE

A pan-India agri-input manufacturer needed to map how rural input retailers and semi-urban stockists prioritise SKU recommendations, and which margin structures and company schemes drive active brand push at the counter.

WHAT WE DID

Ran a structured quant survey across 420 dealers in 6 states, capturing scheme recall rates, margin thresholds, counter-recommendation triggers, and the frequency of company field-staff visits influencing push behaviour by crop season.

DELIVERED

A dealer push-propensity framework segmented by retailer tier, a scheme effectiveness corridor by geography, and a ranked list of counter-recommendation levers mapped against competing brand presence in each state cluster.
Talk to Survey Consultant
CASELET 1

Fertiliser SKU preference & shelf-push behaviour among input retailers (India)

CASELET 2

Pesticide advisory credibility & farmer trust mapping among agri-dealers (North India)

Fertiliser SKU preference & shelf-push behaviour among input retailers (India)

OBJECTIVE

A pan-India agri-input manufacturer needed to map how rural input retailers and semi-urban stockists prioritise SKU recommendations, and which margin structures and company schemes drive active brand push at the counter.

WHAT WE DID

Ran a structured quant survey across 420 dealers in 6 states, capturing scheme recall rates, margin thresholds, counter-recommendation triggers, and the frequency of company field-staff visits influencing push behaviour by crop season.

DELIVERED

A dealer push-propensity framework segmented by retailer tier, a scheme effectiveness corridor by geography, and a ranked list of counter-recommendation levers mapped against competing brand presence in each state cluster.

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 small independent retailers, multi-brand agri-input dealers and cooperative society outlets?

How will you measure brand push preference beyond simple ratings?

Will the survey map the full dealer stocking and recommendation journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our dealer activation and brand offtake?

Still have questions?

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

Book a Discovery Call