AGRI-INPUTS & CROP NUTRITION

Agri-Input Brand Perception & Farmer Purchase Decision Survey

Map how smallholder and commercial farmers evaluate, compare, and choose fertilisers, pesticides, and seed brands across crop cycles, so you can sharpen positioning, fix channel conversion gaps, and benchmark acquisition against competing input brands.

Pan-India sample
Farmers (Active Input Purchasers)
15-20 min
Talk to a Survey Consultant
Purchase triggers & channel frictionIdentify where farmers hesitate, switch brands, or abandon retailer recommendations.
Brand drivers & pricing trade-offsRank the crop-stage signals that shift willingness-to-pay across input categories.
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 farmers purely on product efficacy. They lose them due to retailer influence, unverified peer recommendations, brand recall gaps at purchase, misaligned crop-stage messaging, and price-value confusion, none of which fully show up in distributor sales data or trade audit reports.

If you are...

  • Agri-input brand competing regionally
  • Crop nutrition or crop protection head
  • Distributor network or channel lead
  • Agri-marketing or brand positioning lead
  • Rural GTM or farmer outreach team

You're likely facing...

  • Retailer push overriding brand preference
  • Trial-to-repeat conversion drop-off
  • Generic vs branded input confusion
  • Price sensitivity: perceived vs actual
  • Crop-segment loyalty gaps

This will help answer...

  • Brand recall drivers by crop segment
  • Purchase funnel drop-off stage
  • Retailer vs peer influence weight
  • Price-value threshold by input category
  • Repeat purchase and switching triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete farmer journey from crop-season planning to post-harvest brand advocacy.

TENETS 01

Brand Awareness & Recall

  • Unaided brand recall by crop segment
  • First-heard channel, season, source
TENETS 02

Purchase Triggers

  • Seasonal buying trigger, crop stage
  • Retailer push vs. farmer pull
TENETS 03

Retailer & Channel

  • Retailer influence on brand switch
  • Last-mile channel preference by district
TENETS 04

Product Trust & Efficacy

  • Yield outcome as trust signal
  • Counterfeit concern, verification behavior
TENETS 05

Pricing & Willingness-to-Pay

  • Price sensitivity by input category
  • Credit purchase vs. cash purchase split
TENETS 06

Brand Loyalty & Switch

  • Repeat purchase rate by input type
  • Switch triggers, loyalty-breaking events
TENETS 07

Field Support & Agronomy

  • Company agronomist visit frequency
  • Demo plot impact on adoption rate
TENETS 08

Competitive Positioning

  • Head-to-head brand preference by crop
  • Perceived gaps vs. nearest competitor

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 Brand Perception & Farmer Purchase Decision Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across diverse farming segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking brand preference across input categories
2
Measuring dealer influence on purchase decisions
3
Comparing segments by crop type and farm size
Deliverables
Brand preference ranking
Purchase driver matrix
Segment comparison report
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Smallholder farmers with low digital access
2
Quick coverage across remote agri-districts
Deliverables
Rural farmer coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Progressive farmers managing large commercial holdings
2
Mandi-adjacent clusters with high input spend
Deliverables
Cluster purchase maps
High-value farmer profiles
OPTIONAL
FGDs
Deliverables
Themes and quotes
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 cover smallholder and low-digital farmer segments across key agri-districts.
Consider adding: F2F interviews in high-spend mandi clusters and a focused FGD layer to isolate brand-switching triggers and refine input communication messaging.

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)
  • Solomon Islands Dollar (SBD)
  • 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 agri-input and rural retail space.

CASELET 1

Crop protection channel preference & retailer influence (India)

CASELET 2

Fertiliser brand switching & loyalty driver segmentation (North India)

Crop protection channel preference & retailer influence (India)

OBJECTIVE

A mid-size crop protection company needed to map how smallholder farmers and progressive farmers shortlist products at the point of purchase, and how much retailer recommendation versus brand recall drives the final pick.

WHAT WE DID

Ran a structured quant survey across 6 agri-dominant states, covering 480 farmers, capturing retailer visit frequency, product shortlisting triggers, brand recall unprompted, price sensitivity thresholds, and the weight assigned to agronomist advice versus peer referral.

DELIVERED

A channel influence map by farmer segment, a ranked trigger hierarchy from awareness to shelf pick, a retailer leverage index by crop zone, and a message territory framework for each farmer profile.
CASELET 1

Crop protection channel preference & retailer influence (India)

CASELET 2

Fertiliser brand switching & loyalty driver segmentation (North India)

Crop protection channel preference & retailer influence (India)

OBJECTIVE

A mid-size crop protection company needed to map how smallholder farmers and progressive farmers shortlist products at the point of purchase, and how much retailer recommendation versus brand recall drives the final pick.

WHAT WE DID

Ran a structured quant survey across 6 agri-dominant states, covering 480 farmers, capturing retailer visit frequency, product shortlisting triggers, brand recall unprompted, price sensitivity thresholds, and the weight assigned to agronomist advice versus peer referral.

DELIVERED

A channel influence map by farmer segment, a ranked trigger hierarchy from awareness to shelf pick, a retailer leverage index by crop zone, and a message territory framework for each farmer profile.

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 farmers and contract farming participants?

How will you measure brand preference beyond simple ratings?

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

Can this survey inform product and pricing strategy?

How will findings improve our agri-dealer channel and season-launch strategy?

Still have questions?

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

Book a Discovery Call