Agri-App & Digital Advisory Adoption Survey
Understand how farmers evaluate agronomy apps, compare advisory sources, choose subscription models, and navigate trust, language, and connectivity barriers, so you can sharpen acquisition, improve pricing, and strengthen retention across priority farmer segments.
CONTEXT & RELEVANCE
Why run this survey now
Most agri-app providers don't lose farmer engagement purely on connectivity. They underperform due to weak local relevance, low advisor credibility, confusing onboarding, and uncertain value, none of which fully show up in download dashboards or support logs.
If you are...
- Agri-tech product leadership
- Rural growth marketing teams
- Digital advisory strategy heads
- Farmer engagement operations teams
- Agricultural partnerships & alliances
You're likely facing...
- Strong app awareness still produces weak first-use conversion among farmers
- Inconsistent regional content creates uneven advisory credibility across crop clusters
- Limited visibility into farmer switching triggers weakens competitive positioning
- Complex onboarding and language gaps drive early usage drop-off
- Positive trial experiences still result in low paid retention
This will help answer...
- Priority farmer adoption segments
- Highest-converting discovery channels
- Critical trust-building mechanisms
- Viable pricing and bundles
- Retention and switching levers
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete digital advisory journey from awareness to sustained farm use.
Awareness & Discovery
- Discovery channels & referral sources
- App category awareness
Need & Use Cases
- Crop-stage advisory priorities
- Weather, pest & market needs
Onboarding & Access
- Registration & language barriers
- Device, data & connectivity access
Trust & Credibility
- Advisor authority & evidence
- Peer validation & institutional trust
Content & Experience
- Localisation, timing & usability
- Format preferences & notification relevance
Engagement & Outcomes
- Usage frequency & habit depth
- Perceived farm decision impact
Pricing & Payment
- Free-to-paid conversion drivers
- Subscription, bundling & payment comfort
Loyalty & Switching
- Renewal intent & advocacy
- Alternative sources & switching triggers
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.
METHODOLOGY
Survey approach
For Agri-App & Digital Advisory Adoption Survey, we recommend a mobile-first mixed approach with flexible data-collection modes to balance reach, depth, and verification across connected, intermittently connected, and offline farmer cohorts.
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
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
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
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
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 technology space.
Farm Input E-Commerce Channel Preference Mapping Study (Pan-India)
OBJECTIVE
WHAT WE DID
DELIVERED
Farm Input E-Commerce Channel Preference Mapping Study (Pan-India)
Weather Advisory Subscription Concept Testing Study (Western India)
Farm Input E-Commerce Channel Preference Mapping Study (Pan-India)
OBJECTIVE
A pan-India agri-commerce platform needed to understand how smallholders , progressive farmers , and dealer-influenced buyers selected between marketplace apps , local retailers , and direct brand channels for seasonal crop-input purchases across multiple states.
WHAT WE DID
We ran a structured survey across crop zones, farm sizes, and digital maturity levels, capturing channel consideration , order frequency , delivery expectations , promotion sensitivity , payment preferences, and trust in product authenticity.
DELIVERED
The study delivered a channel preference map , buyer segment framework , purchase friction list , message territories , and regional channel levers showing where convenience, assortment, price transparency, and retailer reassurance shaped choice.
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, progressive farmers and farmer collectives?
How will you measure digital advisory preference beyond simple ratings?
Will the survey map the full agri-app adoption journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our farmer acquisition and paid conversion?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.