AGRI-INPUT & CROP ADVISORY

Farm Input Consumer Unmet Technical Advisory & Crop Efficacy Proof Survey

Measure how smallholder and commercial farmers evaluate, compare, and choose crop inputs based on advisory access, efficacy proof, and agronomist trust, so you can sharpen acquisition messaging, fix conversion gaps, and benchmark positioning against competing input brands.

Pan-India sample
Farmers (Active Input Purchasers)
15-20 min
Talk to a Survey Consultant
Advisory gaps & conversion frictionIdentify where farmers disengage, stall, or switch brands before purchase.
Efficacy proof & segment trade-offsRank crop performance claims, trial expectations, and proof thresholds by segment.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most agrochemical and seed companies don't lose farmers purely on product price. They lose them due to unmet advisory access, unverified efficacy claims, retailer knowledge gaps, crop-stage misalignment, and competing input recommendations, none of which fully show up in distributor sales data or field force call reports.

If you are...

  • Agrochemical brand facing retailer churn

  • Seed company losing trial conversions

  • Crop nutrition portfolio head

  • Commercial or channel sales lead

  • Agri-input strategy or planning team

You're likely facing...

  • Efficacy claims: farmer trust deficit

  • Advisory gap: retailer vs agronomist

  • Trial drop-off at crop application stage

  • Generic vs crop-specific input confusion

  • Repeat purchase erosion post-season

This will help answer...

  • Unmet advisory need by crop

  • Efficacy proof drivers for farmers

  • Segment preference: input brand vs retailer

  • Willingness to pay for advisory

  • Switching triggers post-harvest season

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete farm input buyer journey from crop planning to post-harvest evaluation.

TENETS 01

Advisory Access Gaps

  • Technical guidance source hierarchy
  • Unmet advisory frequency, crop stage
TENETS 02

Input Discovery & Trust

  • First brand touchpoint, crop cycle
  • Retailer influence vs. company rep
TENETS 03

Efficacy Proof Demands

  • Trial plot evidence, yield benchmarks
  • Proof formats that shift purchase intent
TENETS 04

Product Selection Friction

  • Label complexity, dosage confusion
  • Counterfeit risk, retailer substitution
TENETS 05

Pricing & WTP

  • Price-per-acre ceiling, crop type
  • Credit terms, seasonal payment timing
TENETS 06

Loyalty & Switching

  • Brand retention triggers, season-on-season
  • Switch catalysts, crop failure attribution
TENETS 07

Digital & Field Reach

  • App adoption, agri-advisory platform use
  • Field rep visit frequency, quality gaps
TENETS 08

Competitive Benchmarking

  • Brand share by input category, crop
  • Perceived performance gaps vs. rivals
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 Farm Input Consumer Unmet Technical Advisory and Crop Efficacy Proof Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across farmer segments and agri-input channels.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking unmet advisory needs by crop and input type.
2
Measuring crop efficacy satisfaction across input categories.
3
Comparing segments by farm size, crop type, and region.
Deliverables
Advisory gap matrix
Efficacy satisfaction scores
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 clusters.
Deliverables
Farmer coverage data
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Progressive farmers trialling new crop protection inputs.
2
Dealer and agronomist cohorts in high-intensity crop zones.
Deliverables
Field efficacy records
Dealer advisory maps
OPTIONAL
FGDs
Deliverables
Themes and quotes
Messaging concepts
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 dispersed agri-input geographies.
Consider adding: F2F interviews in high-intensity crop zones for efficacy verification among progressive farmer cohorts, and a targeted FGD layer to pressure-test advisory messaging and proof-of-efficacy claims before commercial rollout.
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
  • 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)
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  • 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

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 farm inputs and agrochemical advisory space.

CASELET 1

Crop protection product trial adoption & channel friction (India)

CASELET 2

Fertilizer advisory trust gap & extension service perception (North India)

Crop protection product trial adoption & channel friction (India)

OBJECTIVE

A mid-size agrochemical company needed to map how progressive farmers and subsistence cultivators across rain-fed zones evaluate new fungicide formulations , and which retailer or agronomist touchpoints most influence their first-trial decision.

WHAT WE DID

Ran a structured quant survey across 420 farmers in 6 states, capturing trial trigger events, retailer recommendation weight, pack-size preference, efficacy proof requirements, and willingness to switch from incumbent brands at each crop stage.

DELIVERED

A segment-level adoption barrier map by farmer type, a ranked channel influence corridor from input dealer to Krishi Vigyan Kendra, and a message territory framework tied to specific crop-stage anxiety points for the field sales team.
Talk to Survey Consultant
CASELET 1

Crop protection product trial adoption & channel friction (India)

CASELET 2

Fertilizer advisory trust gap & extension service perception (North India)

Crop protection product trial adoption & channel friction (India)

OBJECTIVE

A mid-size agrochemical company needed to map how progressive farmers and subsistence cultivators across rain-fed zones evaluate new fungicide formulations , and which retailer or agronomist touchpoints most influence their first-trial decision.

WHAT WE DID

Ran a structured quant survey across 420 farmers in 6 states, capturing trial trigger events, retailer recommendation weight, pack-size preference, efficacy proof requirements, and willingness to switch from incumbent brands at each crop stage.

DELIVERED

A segment-level adoption barrier map by farmer type, a ranked channel influence corridor from input dealer to Krishi Vigyan Kendra, and a message territory framework tied to specific crop-stage anxiety points for the field sales team.

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 smallholder farmers, progressive commercial farmers and input retailers?

How will you measure crop input preference beyond simple ratings?

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

Can this survey inform product and pricing strategy?

How will findings improve our field sales and agronomist activation strategy?

Still have questions?

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

Book a Discovery Call