AGRI INPUTS & CROP SCIENCE

Agricultural Input Brand Credibility & Agri-Business Buyer Preference Survey

Agri-business buyers evaluate, compare, and choose input brands based on efficacy claims, dealer trust, and seasonal pricing, so you can sharpen brand positioning, fix conversion gaps in dealer channels, and benchmark credibility against competing input suppliers.

Pan-India Sample
Agri-business buyers (Input Procurement Decision-Makers)
15-20 min
Talk to a Survey Consultant
Brand credibility & conversion gapsIdentify where input buyers hesitate, switch brands, or reject dealer recommendations.
Preference drivers & segment trade-offsRank efficacy, price sensitivity, and seasonal loyalty signals across buyer segments.
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

CONTEXT & RELEVANCE

Why run this survey now

Most agri-input brands don't lose dealer shelf space purely on product performance. They lose it due to weak credibility signals, misaligned retailer incentives, unverified efficacy claims, poor last-mile visibility, and fragmented farmer trust, none of which fully show up in distributor sales reports or field force feedback logs.

If you are...

  • Agri-input brand vs cooperative competition
  • Agrochemical or seed portfolio head
  • Dealer network expansion lead
  • Crop nutrition GTM strategist
  • Agri-business commercial growth team

You're likely facing...

  • Brand credibility gap: farmer vs retailer
  • Shelf preference lost to local generics
  • Efficacy claims: trusted vs doubted split
  • Distributor loyalty vs margin tension
  • Seasonal switching at crop cycle renewal

This will help answer...

  • Credibility drivers beyond product claims
  • Retailer recommendation drop-off stage
  • Segment preference by crop and region
  • Price tolerance vs brand trust threshold
  • Switching triggers at season renewal

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete agri-input buyer journey from first brand encounter to repeat procurement.

TENETS 01

Brand Discovery & Reach

  • First-contact channel by crop segment
  • Retailer referral vs. field demonstration
TENETS 02

Preference Drivers

  • Efficacy proof vs. price sensitivity
  • Pack size, formulation type priority
TENETS 03

Credibility & Trust

  • Certification, label claim verification
  • Peer validation, demonstration plot outcomes
TENETS 04

Retailer & Channel

  • Retailer influence on brand stocking
  • Last-mile availability, credit terms
TENETS 05

Pricing & WTP

  • Price threshold by input category
  • Premium tolerance for proven efficacy
TENETS 06

Loyalty & Switching

  • Repeat purchase triggers, season-on-season
  • Switching barriers, counterfeit risk
TENETS 07

Advisory & Support

  • Agronomist access, crop advisory frequency
  • Digital helpline vs. field agent preference
TENETS 08

Competitive Positioning

  • Brand rank by input category, crop type
  • Generic vs. branded substitution rate

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 Agricultural Input Brand Credibility and Agri-Business Buyer Preference Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across diverse agri-buyer segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking input brand credibility by crop segment
2
Measuring dealer vs direct purchase preference
3
Comparing agri-buyer segments by farm size and region
Deliverables
Brand credibility scores
Buyer preference matrix
Segment ranking report
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Small and marginal farmers with low digital access
2
Quick coverage across dispersed agri-input markets
Deliverables
Rural buyer coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Large agri-business buyers and input procurement heads
2
Mandi clusters requiring contextual purchase verification
Deliverables
Cluster purchase insights
Buyer journey maps
OPTIONAL
FGDs
Deliverables
Themes and quotes
Messaging 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 small and marginal farmers with limited digital access across key agri-input geographies.
Consider adding: Face-to-face interviews for large agri-business procurement heads and input dealers in high-volume mandi clusters, with a focused FGD layer to pressure-test brand credibility messaging and isolate switching triggers.

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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  • 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)
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  • 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)
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  • Croatian Kuna (HRK)
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  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
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  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
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  • Lesotho Loti (LSL)
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  • Malagasy Ariary (MGA)
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  • 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)
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  • 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 agricultural inputs and agri-business space.

CASELET 1

Crop protection product channel preference & dealer trust (India)

CASELET 2

Fertiliser pricing corridor & input loyalty segmentation (North India)

Crop protection product channel preference & dealer trust (India)

OBJECTIVE

A mid-size crop protection company needed to map how progressive farmers and semi-commercial growers shortlist pesticide brands, and which dealer behaviours and product claims convert or lose the sale at the point of purchase.

WHAT WE DID

Ran a structured quant survey across 420 farmers in 6 agri-dominant states, capturing brand shortlisting triggers, dealer recommendation weight, label claim credibility, and price-to-efficacy trade-off thresholds by crop type and farm size band.

DELIVERED

A channel influence map by farmer segment, a ranked claim credibility index across 5 competing product categories, and a dealer trust lever framework identifying the 3 behaviours that most strongly shift brand preference at the last mile.
CASELET 1

Crop protection product channel preference & dealer trust (India)

CASELET 2

Fertiliser pricing corridor & input loyalty segmentation (North India)

Crop protection product channel preference & dealer trust (India)

OBJECTIVE

A mid-size crop protection company needed to map how progressive farmers and semi-commercial growers shortlist pesticide brands, and which dealer behaviours and product claims convert or lose the sale at the point of purchase.

WHAT WE DID

Ran a structured quant survey across 420 farmers in 6 agri-dominant states, capturing brand shortlisting triggers, dealer recommendation weight, label claim credibility, and price-to-efficacy trade-off thresholds by crop type and farm size band.

DELIVERED

A channel influence map by farmer segment, a ranked claim credibility index across 5 competing product categories, and a dealer trust lever framework identifying the 3 behaviours that most strongly shift brand preference at the last mile.

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 landholding farmers, large commercial farm operators and input dealer networks?

How will you measure brand credibility beyond simple ratings?

Will the survey map the full input procurement journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our dealer network and field sales performance?

Still have questions?

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

Book a Discovery Call