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Agritech pitch deck

The agritech pitch deck: show it works through a bad season

Agritech investors have seen fast growth disappear when a season went wrong or a subsidy ended. They want to see that farmers come back season after season, that reaching each farmer gets cheaper, and that each transaction leaves a real margin.

KhetmitraTraction

Farmers who bought in kharif came back in rabi: 64% repeat, up from 41% a year ago

41%Kharif 2448%Rabi 2557%Kharif 2564%Rabi 26
18,600farmers who bought this season
₹410cost to reach a new farmer
9.8%gross margin per order
Share of a season's buyers who bought again the next season. Fictional company for illustration.
A traction slide for a fictional crop advisory and inputs service. It measures repeat use by season, because seasons are how farmers buy.

The numbers

Agritech numbers investors check first

Farmers buy by season, live far apart and trust people more than apps. The numbers that matter follow from that.

Farmers or acres served, by season

How many farmers bought or used the service in a season, and the acres they farm. Monthly charts mislead in agriculture because demand moves with the crop calendar.

On the slide: season by season, with the same season a year earlier beside it.

Repeat use across seasons

What share of one season's farmers come back the next. It shows trust, which is the hardest thing to win in rural markets.

Repeat rate = farmers active this season who were active last season ÷ farmers active last season

On the slide: by season cohort and by district, since trust spreads village by village.

Cost to reach a farmer

Field staff, demos, village meetings and partner commissions per new farmer. In agritech this is often the biggest cost and the one most decks leave out.

Cost to reach = field team and marketing cost ÷ new farmers

On the slide: by channel: own field team, input dealers, FPOs or other partners.

Margin per transaction

Seeds, fertiliser and crop protection often sell on thin margins. Commentary on large Indian agritech platforms notes how much growth depends on input sales with thin margins[1].

Gross margin = (sale price − cost of goods − logistics) ÷ sale price

On the slide: by product line, with the higher-margin products, such as advisory, credit or output buying, shown separately.

Revenue by season, and why monthly charts mislead

The same fictional company. Revenue peaks before sowing and dips between seasons. Show seasons side by side so investors compare like with like.

₹1.9 crKharif 24₹1.4 crRabi 25₹3.6 crKharif 25₹2.9 crRabi 26

Distribution

Explain how you reach farmers at a cost that falls

12 stateswhere one large Indian agritech platform was reported to operate, which shows how regional the business stays[1]
By seasonis how farmers buy, so it is how investors read your growth

Reaching farmers is slow and expensive. Investors want to see that your cost per farmer falls as you grow, because that is what makes the model scale.

Own field teams build trust fastest but cost the most. Input dealers and retailers already have the relationship, but take a margin and may push their own products. Farmer producer organisations (FPOs) bring many farmers at once and can buy and sell together, which suits services like inputs and output marketing.

On the slide, show cost per new farmer for each channel over the last few seasons, and the share of new farmers who came through a referral from another farmer. That last number is the clearest sign the model will spread.

Say what happens in a bad season: a weak monsoon, a price crash or a pest outbreak. Investors will ask, and a prepared answer is reassuring.

In the meeting

Questions agritech investors ask, and answers that work

What happens to your revenue in a bad monsoon?
A strong answerIn last year's late monsoon our kharif input sales fell 18%, but advisory subscriptions held and output buying rose as farmers sold to us at a fair price. We now plan inventory against three rainfall scenarios.
How do you reach farmers without a huge field team?
A strong answer61% of new farmers this season came through FPOs and existing farmers. Our cost to reach a new farmer fell from ₹960 to ₹410 in four seasons.
Your input margins are thin. Where does the profit come from?
A strong answerInputs bring farmers in at about 10% gross margin. Advisory and output buying earn 25 to 30%, and farmers who use both stay longer. We report the two lines separately.
Why will farmers trust a startup over their local dealer?
A strong answerOur agronomists are from the same districts and every recommendation comes with a yield record from a nearby farm. Farmers can see the result before they pay.

Slide by slide

A 12-slide outline for an agritech startup

The order follows the structure most investors expect, from Sequoia's original business plan outline[2] to Y Combinator's seed deck advice[3]. The notes are what changes for agritech.

CoverName and one line on the farmer and the outcome, such as "Better yields for small cotton farmers in Vidarbha".
ProblemThe farmer's problem in money: lost yield, high input cost, low sale price. Use one real farmer's numbers.
SolutionHow the service works on the ground: the advice, the products, the follow-up. Show photos from the field.
Why nowWhy now: phone and data reach in villages, digital payments, FPO growth or a policy change.
MarketBottom-up: farmers in your target crops and districts × revenue per farmer per year.
ProductProduct: the farmer app or voice line, the field team tools and what the farmer actually sees.
TractionFarmers served and repeat rate by season, plus yield or income results if you measure them.
Business modelRevenue and gross margin by product line, and cost to reach a farmer by channel.
CompetitionLocal dealers, government extension and other startups. Show why farmers switch to you.
Go to marketDistribution: field teams, FPOs, dealers and partners, with cost per farmer for each.
TeamFounders and agronomists with field experience. Investors look for people who know the crops.
The askAmount, runway and the seasons it covers, including working capital for inventory.

Red flags

What makes agritech investors stop reading

Investors give a deck a few minutes. DocSend found average review time fell to under three minutes in 2022[4]. These are the slides that use those minutes badly.

Write your agritech investor story before the next season

Astitva writes your investor story free from a short brief, in this order, then designs each slide in your own brand for 5 credits. A 12-slide deck is 60 credits.

Start free with 50 credits

No card needed. Packs from ₹299 or $3, no subscription.

Questions founders ask

What should an agritech pitch deck include?

Twelve slides in investor order with farmers served and repeat rate by season, cost to reach a farmer by channel, gross margin by product line, working capital needs, and how the business handles a bad season.

What metrics do agritech investors look at?

Farmers or acres served by season, repeat use across seasons, cost to reach a new farmer, margin per transaction by product line, and how much revenue depends on thin-margin input sales.

How do agritech startups reach farmers?

Through their own field teams, input dealers and retailers, farmer producer organisations (FPOs) and referrals from other farmers. Each has a different cost and level of trust.

Can Astitva make an agritech pitch deck?

Yes. Astitva writes the investor story free from a short brief and designs each slide in your brand for 5 credits. New accounts get 50 free credits.

Next: how to brand an agritech startup · all pitch deck guides

Sources

  1. Decentro: agritech startups in India
  2. Sequoia business plan outline (reproduced)
  3. Y Combinator: intro to the YC seed deck
  4. TechCrunch on DocSend pitch deck research, 2022

Figures from these sources were current when this guide was written. Rules and benchmarks change, so check the latest version before you rely on one.