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Home ❯Ken Survey ❯CNDP SURVEY ❯
AGRICULTURE & ADVISORY

Soil Testing & Crop Advisory Service Preference Study

Understand how farmers evaluate soil testing providers, compare advisory channels, and choose crop recommendations, so you can sharpen acquisition, optimise service pricing, and strengthen channel positioning across priority agricultural markets.

Pan-India sample
Farmers (Cultivation decision-makers)
15-20 min
Talk to a Survey Consultant
Trial & ConversionIdentify service triggers that convert awareness into paid testing adoption.
Trust & RelevanceMap evidence standards shaping confidence in crop-specific advisory recommendations.
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
container image

CONTEXT & RELEVANCE

Why run this survey now

Most advisory providers don't lose farmer adoption purely on price. They lose engagement due to weak local relevance, delayed reports, unclear recommendations, inconsistent follow-up, none of which fully show up in satisfaction scores or dealer feedback.

If you are...

  • Soil testing network leader
  • Agri-input brand strategist
  • Digital advisory product head
  • Government programme manager

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete soil advisory journey from awareness to repeat usage.

TENETS 01

Need Recognition

  • Soil health concern triggers
  • Crop planning information gaps
TENETS 02

Awareness & Discovery

  • Provider awareness sources
  • Local influence pathways
TENETS 03

Provider Evaluation

  • Credibility and quality cues
  • Service comparison criteria
TENETS 04

Testing Experience

  • Sample collection convenience
  • Report turnaround reliability
TENETS 05

Advisory Relevance

  • Crop-specific recommendation fit
  • Local language clarity
TENETS 06

Pricing & Payment

  • Fee acceptance thresholds
  • Bundling and subsidy preferences
TENETS 07

Channel Preference

  • Digital and assisted channels
  • Follow-up support expectations
TENETS 08

Outcomes & Loyalty

  • Recommendation implementation behaviour
  • Repeat and referral intent
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?
Less than 300300-500500-1,0001,000-3,0003,000+Not sure yet (recommend based on markets and cuts required)
Target audience
Who should we survey?
Smallholder farmersCommercial farmersTenant cultivatorsFarmer producer groupsAgri-input dealers
Region
Which regions should we cover?
NorthSouthWestEastPan-IndiaMulti-country
Segments
How should we slice the data?
Farm size: under 2 vs 2-10 vs 10+ hectaresCrop type: cereals vs horticulture vs cash cropsTesting status: never tested vs lapsed vs activeProvider used: government vs private vs dealer-ledDigital access: basic phone vs smartphone vs assisted
YOUR SELECTION
Clear all
Sample size
Not Selected
Target audience
Not Selected
Region
Not Selected
Segments
Not Selected
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

METHODOLOGY

Survey approach

For Soil Testing & Crop Advisory Service Preference Study, we recommend a farmer-segmented quantitative approach 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
Compare provider preferences
2
Quantify advisory channel demand
3
Measure pricing acceptance
Deliverables
Preference scorecard
Segment profiles

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

Cost Breakdown

Questionnaire DesignIncluded

Data Collection (CPI + 50C)Variable

Analysis & ReportIncluded
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 services space.

CASELET 1

Farm Input Retail Channel Choice Study Across Rural India

CASELET 2

Crop Nutrition Bundle Concept Testing in Western India

Farm Input Retail Channel Choice Study Across Rural India

OBJECTIVE

A pan-India agri-input brand needed to understand how smallholders , commercial farmers , and tenant cultivators selected between local dealers, cooperatives, and digital marketplaces, including the roles of credit availability, advice quality, and product authenticity.

WHAT WE DID

We conducted a structured survey across crop belts, using quotas by farm size, crop category, and channel usage. The instrument captured purchase frequency , dealer trust , credit dependence , switching triggers, and preferred communication touchpoints.

DELIVERED

The study produced a channel preference map , farmer segment framework , switching friction list , and district-level channel levers, clarifying which service attributes, proof cues, messages, and channel contexts mattered across distinct farmer cohorts.
Talk to Survey Consultant
CASELET 1

Farm Input Retail Channel Choice Study Across Rural India

CASELET 2

Crop Nutrition Bundle Concept Testing in Western India

Farm Input Retail Channel Choice Study Across Rural India

OBJECTIVE

A pan-India agri-input brand needed to understand how smallholders , commercial farmers , and tenant cultivators selected between local dealers, cooperatives, and digital marketplaces, including the roles of credit availability, advice quality, and product authenticity.

WHAT WE DID

We conducted a structured survey across crop belts, using quotas by farm size, crop category, and channel usage. The instrument captured purchase frequency , dealer trust , credit dependence , switching triggers, and preferred communication touchpoints.

DELIVERED

The study produced a channel preference map , farmer segment framework , switching friction list , and district-level channel levers, clarifying which service attributes, proof cues, messages, and channel contexts mattered across distinct farmer cohorts.

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 smallholders, commercial farmers and tenant cultivators?

How will you measure soil testing and advisory preference beyond simple ratings?

Will the survey map the full soil testing and crop advisory journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our farmer acquisition and service conversion?

Still have questions?

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

Book a Discovery Call
  • Farm services channel partner
  • You're likely facing...

    • High farmer awareness but weak paid adoption across districts
    • Growing trust gap between laboratory reports and field recommendations
    • Inconsistent turnaround times causing seasonal decision delays for farmers
    • Limited visibility into preferred advisory channels by crop segment
    • Positive trial experience without repeat testing behaviour next season

    This will help answer...

    • Adoption trigger hierarchy
    • Provider preference drivers
    • Channel trust differences
    • Pricing acceptance corridors
    • Repeat usage levers
    Pricing corridor
    OPTIONAL
    CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
    Best for
    1
    Farmers with limited digital survey access
    2
    Regional language interviews across dispersed villages
    Deliverables
    Phone cohort cuts
    Language comparisons
    SELECTIVE
    Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
    Best for
    1
    Low-connectivity farming clusters and remote villages
    2
    Farmers reviewing physical reports and samples
    Deliverables
    Cluster scorecards
    Field journey map
    OPTIONAL
    FGDs
    Best for
    1
    Uncover trust barriers around laboratory accuracy claims
    2
    Explore reactions to bundled testing and advisory packages
    Deliverables
    Trust barrier map
    Bundle concept territories
    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: CATI-led quantitative survey where smartphone access and panel coverage are uneven.
    Consider adding: Face-to-face interviews in remote crop clusters requiring report comprehension checks.
    Confirm approach
    Request timeline