agri drone marketing: how ₹25 lakhs became ₹8.7 crores for marut drones

a b2b agri-drone brand, zero digital presence, 13 states and a product farmers had never bought online. here is the machine we built, piece by piece.

• ₹25 lakh in, ₹8.7 crore out, peaking at 36x return on ad spend, from a brand that had no digital presence before.
• 23,420 leads across 13 states, each state run on its own creative, its own instant form and its own numbers.
• ai voice follow-up within minutes meant no paid lead waited for a salesperson to get to it (how voice agents work and what they cost).
• the method sits on the ideas in our meta ads strategy for 2026: your creative is your targeting, and the signal you send back decides who meta finds next.

most agency case studies start with the result. this one has to start with the problem, because the problem is why the result happened at all. marut drones sells agricultural spraying drones. the buyer is a farmer, or a cooperative, or an entrepreneur who wants to run a spraying service. none of them had bought a drone online before. most had never filled a lead form for anything.

and the market was not one market. it was 13 states, each with its own language, its own crops, its own buying season and its own idea of who you trust.

why is agri drone marketing harder than it looks?

agri drone marketing is hard because the buyer is new to the category, the ticket size is high and the market is fragmented. a farmer in one state speaks a different language, grows different crops and sprays in a different season from a farmer three states away. one campaign averages all of that into a weak result.

the default playbook is one national campaign, one set of creatives translated into a few languages, and a lead form that dumps into a spreadsheet nobody opens until monday. for a high-ticket b2b product with a long consideration cycle, that playbook does not just underperform. it burns trust, because the lead who raised a hand on friday hears nothing until the moment has passed.

why are farmers buying drones now? the drone subsidy india context

farmers and rural entrepreneurs are buying because the government is paying for a large share of the drone. under the kisan drone guidelines, many individual farmers can get 40 to 50% of the cost, and the namo drone didi scheme covers 80% for women's self-help groups. that turns a drone from a dream into a loan.

this matters for marketing because the subsidy is often the real hook. the published numbers, as of our check on 18 october 2026:

the namo drone didi scheme has a ₹1,261 crore outlay and aims to put drones with about 15,000 self-help groups, who then rent spraying services to farmers (pib factsheet, nov 2024).

marketsandmarkets puts the india agriculture drones market at about $104.7 million in 2025, rising to about $463.1 million by 2030 (marketsandmarkets). that is a vendor estimate, so read it as direction, not a precise size.

under india's drone rules 2021, an operator needs a remote pilot certificate from a dgca-authorised training organisation, and each drone is registered on digital sky (pib explainer). this is general information, not legal advice.

what to do with this: put subsidy and training into the creative and form, not just the sales call.

what did we actually build for marut drones?

we did not build a campaign. we built one connected machine, and every part of it existed to shorten the distance between a farmer's first tap and a real conversation. it ran on meta and google, with state-specific creative and forms, ai voice calls, whatsapp and a leadsquared crm.

• full campaign architecture across meta and google, structured so each state could be read, budgeted and scaled on its own numbers
• state-specific creative and instant forms, in the language and the context of the farmer reading them, not a translation of a head-office ad
• ai voice-call follow-up, so a lead heard from the brand within minutes instead of days
• whatsapp automation for the conversations that came after, because that is where rural india actually replies
• crm sync into leadsquared, so sales saw every lead, its source and its history in one place

you can see the other systems we have built this way on our work page.

how do meta ads for agriculture differ from normal lead ads?

meta ads for agriculture need creative that looks like the farmer's own world: his crop, his language, a field he recognises and a person he would trust. since meta's andromeda update, the ad itself decides who sees it. a generic studio drone shot finds generic gadget fans, not farmers ready to buy.

a video in the local language, showing the local crop being sprayed, does most of the targeting on its own.

in practice, the creative brief for each state answered four questions:

• who is speaking? a farmer or operator from that region, not a presenter.
• which crop? the one that state sprays that season.
• what is the money story? subsidy, rental income or labour saved.
• what is the proof? something local, like a nearby demo.

the broader rules we use for this, from hooks to formats, are in our guide to ad creative strategy in india.

why does state-wise ad targeting beat one national campaign?

state-wise ad targeting works because each state is effectively a different market. when every state has its own creative, form and budget line, the platforms stop averaging very different audiences into one mediocre result. the winners become obvious, and money can move to the states that are earning instead of being spread evenly.

a farmer in one state does not respond to the same picture, crop, price framing or proof as a farmer three states away. once each state had its own creative and its own form, the ad platforms stopped averaging very different audiences into one mediocre result, and the winners became obvious. that is what let the budget move to where it was earning instead of being spread evenly. how to set up that kind of structure after meta's andromeda change is covered in our meta andromeda update guide.

here is how that plays out, as an illustrative example with made-up numbers, not marut's data:

this is not more ad sets for their own sake. you split where buyers genuinely differ, and in agriculture language, crop and season usually line up with state borders.

what makes a good lead form for an agri business?

a good agri lead form is short, in the reader's language and asks the questions sales actually needs: district, crop, acreage or service plan, and whether the buyer wants a subsidy. every extra field cuts volume, so each question has to earn its place by helping qualify or route the lead.

marut's forms were state-specific, like the creative, so the form felt like the same conversation as the ad. the fields did the routing, so nobody sorted a spreadsheet. our guide to facebook lead generation ads covers form types and question templates for other industries.

a simple template for agri instant forms:

sending people to a page instead? see our guide to the landing page for lead generation in india.

how does ai voice lead follow-up fix the speed-to-lead problem?

ai voice lead follow-up calls a new lead within minutes, in the right language, while the farmer is still thinking about drones. it greets, qualifies and answers the basic questions, then passes the warm lead to a human. research shows replying within the hour makes a lead far more likely to qualify.

high-intent leads go cold fast. the voice agent and the whatsapp flows meant that the first touch happened while the farmer was still thinking about drones. by the time a human salesperson picked up the lead, it had already been greeted, qualified and given the basics. sales spent their time on the people who were ready.

in harvard business review's audit of 2,241 us firms, those that contacted a lead within an hour were nearly 7x more likely to qualify it than firms that waited longer (hbr, 2011). the study is old and american; the logic travels.

what the voice call actually covers

the call is not a pitch. it confirms the lead is real, checks district, crop and buyer type, answers first questions on subsidy and training, then hands over with notes in the crm. whatsapp carries on from there.

an illustrative example: a farmer fills the form at 7pm. manually, someone calls at 11am next day, when he is back in the field. with a voice agent, he gets a call at 7:03pm in his language.

how these agents are built is in our guide to ai automation for business in india.

what results did the campaign deliver? a roas case study

over ten months, ₹25 lakhs of ad spend generated ₹8.7 crores in revenue and 23,420 leads, peaking at 36x return on ad spend. the client's only marketing channel became their biggest revenue channel. the gains came from the system working together, not one clever ad.

read roas honestly. ₹8.7 crore over ₹25 lakh is roughly 35x across the period; 36x was the peak. roas compares revenue with ad spend only, not team, tools or product cost, so it shows the ads paid for themselves, not total profit.

how can you replicate this lead generation for agri businesses in india?

to replicate this lead generation for agri businesses in india, split your account where buyers truly differ, write creative for each region, keep forms short and local, call every lead within minutes and connect ads to your crm. the order matters: fix follow-up speed before you scale spend.

the playbook we would hand any agri brand, drones or otherwise:

what to copy and what we would do differently

copy the idea that campaign and follow-up are one product. most agri brands have the ads or the sales team, with nothing joining them. how this compares with real estate, d2c, academies and luxury is in meta ads by industry.

with hindsight, we would put the subsidy question into creative from week one, since nearly every buyer asks it, and feed sales outcomes back to meta sooner so it learns from buyers, not form fills.

what you can take from this

build the system around the campaign, not just the campaign. split the account by how your buyers differ, write for the reader in front of you, treat the first minutes after a form as part of the ad, and connect everything so each rupee traces to a sale.

• split your account by the way your buyers actually differ, not by the way your org chart is drawn
• write creative for the reader in front of you, in their language and their context
• treat the first five minutes after a lead form as part of the ad, because it is
• connect the ads, the follow-up and the crm, so every rupee can be traced to a conversation

who wrote this, how and why

puneetraj chavan wrote this. he is the founder of rapchik media and has spent 8+ years running performance marketing and automation for 30+ brands across india and the us. client results are from our campaign data. external sources were checked on 18 october 2026, and market estimates are vendor-reported.

the worked examples use illustrative numbers. we wrote this because agri brands keep asking how a drone company with no digital presence got here, and the honest answer is the system.

• government schemes and rules: rajya sabha answer on kisan drone support · pib factsheet on namo drone didi · namo drone didi guidelines on vikaspedia · pib explainer on drone rules 2021
• market and research: marketsandmarkets: india agriculture drones market · hbr: the short life of online sales leads (2011)

want a system like this? see our services or talk to us.

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written by puneetraj chavan

founder of rapchik media. 8+ years scaling 30+ brands across india and the us, from agri-drones to a us job portal. strategy and execution, same brain.

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