I've spent nearly a decade inside how India actually decides — social commerce, fintech, healthcare, EdTech. Operating in the market, not observing it. These are the field notes, and the systems built on them.
Every framework we use to explain the Indian consumer was written for someone else — an individual, deciding alone, trusting institutions, chasing wealth. India breaks all three.
Here the decision unit is the family. Trust travels through peers, not institutions. And aspiration is about identity — who you become in front of the people whose opinion has always shaped you. So the interesting question was never "what works in growth." It's the narrower, harder one: why did India just do that?
Four findings the room read wrong. None came from a survey — all of them came from watching what people did after they said something else.
People don't share for money. They share for who it makes them.
Testing ambassador incentives: someone paid ₹200 posted once and vanished. Someone given visibility — status inside their own community — stayed, referred better people, and defended the brand unprompted. The reward wasn't payment. It was being seen as the person who knew first.
missed — Indian referral programmes are designed as payout mechanics. The actual currency is social standing, and it never shows up in a CAC model.
Fear opened the door that profit couldn't.
Financial literacy campaigns lead with returns and schemes. Almost none convert in Bharat. What people actually felt wasn't ambition — it was anxiety about digital fraud. We led with protection instead of profit. Same audience, same product — 65%+ conversion.
missed — Financial inclusion is modelled as an aspiration problem. On the ground it behaves as a safety problem first — and only becomes aspiration after trust exists.
A vouch converts faster than any pitch.
Students didn't book because a brand told them to — they booked when someone they knew put their own credibility behind it. So we stopped selling to travel agents and corporates and trained them to vouch for us to their own customers. Borrowed trust, organised.
missed — Indian markets get mapped as channels. They're closer to trust networks — the unit of transmission is a person, not an impression.
Partners didn't leave over price. They left before they saw value.
Churn was treated as a pricing problem. It was neither pricing nor product — the damage happened in the gap between signing and the first result, where every day of onboarding delay compounded doubt. Fixing the first mile cut time-to-value by 40%.
missed — Retention analysis usually starts at month three. In low-trust markets, the decision to leave is made in week one.
The notes are only worth something because of where I was standing.
| Woovly | Project Head · Community Head Social commerce & creator economy. 700+ D2C brands, 300+ influencer community, 8,000+ content pieces. |
2018 – 2020 |
| Choice International | Sr. Manager, Strategic Growth National partnerships & field playbook. MOUs with IIT Madras (Swayam Plus), NABARD, MSBTE — 1.25 lakh students. |
2024 – 2025 |
| MedPiperYC S20 | Head, Business Growth & Operations GTM across JournoMed, Instaclinic, PickMyLocum, HCPwire, Prescription Builder. CRM & partner systems from scratch. |
2021 – 2022 |
| OYO | Lead, Campus Program — PAN India Built & ran the Campus Crew network. 1,000+ travel agents, 250+ corporates trained as a trust network. |
2016 – 2018 |
One behavioural pattern a week — the observation, the mechanism underneath it, and what it predicts. Read by founders, operators, and investors building in and for India.
228 billion UPI transactions. A trust anomaly the West can't explain. Why what India does first, the world does next.
~80% AI trust — #1 globally — isn't techno-optimism. It's a rational response to the systems Indians were escaping.
Before the house is bought, before the job is accepted, before the movement is visible — there's a WhatsApp group.
Fresh-start effects at civilisational scale, the muhurat as guilt-removal, and why discounts weaken premium purchases.
Field notes are only useful if someone is keeping them. Right now nobody is — not systematically, not at civilisational scale, and not by the people actually operating inside the market.
AI has commoditised data, analytics, and analysis. The one layer it cannot generate is unpublished, field-level observation from someone who was in the room.
MARGA is a practitioner-built behavioural intelligence society — India's behaviour, mapped by the people building in it, with a structured method, over years. Not inferred from Western frameworks. Not scraped from dashboards. That's the layer it's designed to hold.
If "why did India just do that" is the question you're trying to answer — let's talk.