पाठशाला Pathshala · विचार Vichār, The idea · Lesson 19 · Build

The Bharat opportunity: separating hype from paying demand

Tier-2 and tier-3 India is real demand and a favourite slide. Size it by the wallets that already pay digitally and the rails that carry the money, not by the population on the census.

Pathshala, The Founder Library · 11 October 2026 · 7 min read

A man cycles along a village road in rural India with goods loaded on his bicycle. — Photograph: Anil Sharma · Pexels

The Bharat slide is the most optimistic page in an Indian pitch deck. It shows a map, a population and a phrase like the next 500 million. Some of the demand behind it is real and growing. Most of it is people who will use a product happily and pay for it never.

This lesson replaces the population headline with a wallet count. It shows which public data tells you where money already moves in tier-2 and tier-3 India, walks a five-step filter from the census to the paying customer and works one example through it. The figure lets you run your own.

Why population is the wrong first number

A population tells you how many people live somewhere. It says nothing about how many will pay you, how much, or by what means. The gap between those numbers is widest exactly where Bharat decks point.

The government’s household consumption survey for 2023–24, summarised in a PIB factsheet, puts average monthly spending per person at ₹4,122 in rural India and ₹6,996 in urban India. Food takes 47 per cent of the rural figure. The urban–rural gap has narrowed, from 71.2 per cent of rural spending in 2022–23 to 69.7 per cent in 2023–24, which is the honest version of the Bharat story: steady convergence from a low base, not a sudden market.

Sajith Pai of Blume Ventures described the paying consumer class as roughly a tenth of the population in The Indus Valley Playbook, and the [India 1, 2 and 3 lesson](/library/india-1-2-3-choose-your-hundred-million) sets out how that class and the two below it differ. Tier-2 and tier-3 towns contain members of all three. The question is not how many people live there, but how many of them already behave like customers.

The rails tell you where the wallets are

India has unusually good public data on money movement, because so much of it now runs on public rails. Four sources do most of the work.

Bank accounts. The PMJDY dashboard counted 59.49 crore Jan Dhan accounts as on 30 September 2026, of which 46.20 crore were opened at rural and semi-urban branches. Deposits totalled about ₹3,19,841 crore, an average of about ₹5,400 an account, and 41.70 crore RuPay debit cards had been issued. Almost everyone your product could serve has an account. The average balance tells you how much of it is spare.

UPI. The PIB’s UPI factsheet reports over 24,162 crore transactions in FY 2025–26, and 2,365.8 crore transactions worth ₹29.87 lakh crore in July 2026 alone, an average of about ₹1,260 a transaction. It also describes the rails built for smaller towns and cheaper phones: UPI Lite for small payments without a PIN, with a ₹1,000 limit a transaction since 2024, and UPI 123PAY for feature phones through voice calls and missed calls. If your customers pay at all, they can pay you by UPI.

District data. PhonePe Pulse publishes anonymised, aggregated transaction data from its own payments app, with quarterly state and district scoreboards; its page showed 711.7 million registered users and 50.7 million registered merchants for Q2 2026. It is one company’s data, not the whole market, but it lets you rank districts by how much digital payment actually happens there rather than by how many people live there.

Household budgets. The consumption survey above, broken down by state in the full report, tells you how much a household in your target states spends a month and on what. Your price has to fit inside the part that is not food, rent and school.

Sizing by wallets: five filters

Start with the population of the towns or districts you can serve. Then apply five filters, each a share of the one before, and write down the source of each share.

Two men look over goods at a small street shop in Moga in Punjab. — A shop in Moga already has paying customers. The filters ask how many of them would also pay you. Photograph: Rishav Kumar · Pexels

The target group. The people the product is for: an age band, an occupation, a household type. Census and survey tables give this.

Who pays digitally today. The share of the target group already making UPI or card payments. District payment data, bank and app statistics and your own field visits give this. Treat a smartphone user and a digital payer as different people until shown otherwise.

Whose budget has room. The share whose household spending leaves space for your price after essentials. If your price is ₹99 a month, compare it with the non-food share of the survey’s spending figure for that state, and be harsh.

Who already pays for the category. The share who spend money today on something in your category: coaching, tractor hire, a premium phone plan, private tuition. This is the strongest single filter, because a habit of paying is much easier to redirect than to create.

Whom your channel reaches. The share of what remains that your actual channel, a field team, a creator, a dealer network, a WhatsApp community, can put the product in front of in the next two years.

A Bharat market is the number of wallets that already pay for something like yours. The population is only where you start counting.

A worked example: spoken English in eight districts

A team in Lucknow builds a spoken-English course on WhatsApp for young people preparing for jobs, at ₹99 a month. Their deck says the eight districts they plan to cover hold about 3 crore people, so the market is ₹3,564 crore a year. That is the headline number in the figure, and it is meaningless.

Apply the filters. About 30 per cent of the population falls in the age band and situation the product serves: 90 lakh people. The team estimates from district payment data and their own visits that 60 per cent of them pay digitally: 54 lakh. Forty per cent have room in the household budget for ₹99 a month without giving something up: 21.6 lakh. Fifteen per cent already pay for some coaching or course, the habit that matters: 3.2 lakh. Their channel, a network of local creators and coaching centres, can reach a quarter of those in two years: about 81,000 people.

Eighty-one thousand customers at ₹99 a month is about ₹9.6 crore a year. That is a real business and a believable plan. It is also less than a three-hundredth of the headline, and every hiring, marketing and fundraising decision should be made against the smaller number. The team now knows which filter to work on: if they can raise the share their channel reaches, or turn people who do not yet pay for courses into payers, the market grows. The population does not change.

Where the hype creeps in

Users counted as payers. A free product in tier-3 India can reach a crore of users. The paying share is a different and much smaller number, and the [vitamins and painkillers lesson](/library/vitamins-painkillers-what-indians-pay-for) explains why.

A farmer drives a bullock cart down a dusty road near Nashik in Maharashtra. — Reaching a customer here costs more than an advertisement in a city. Plans built on metro acquisition costs break on this road. Photograph: Frank van Dijk · Pexels

Transaction value counted as revenue. If you facilitate a ₹500 purchase and keep ₹15, your revenue is ₹15. Bharat commerce decks often lead with the ₹500.

Tier-2 treated as one place. A district headquarters with a university and a district three hours away by bus are different markets with different payment habits. Rank districts by evidence and enter the strongest first.

Metro acquisition costs assumed. Reaching a customer in a small town through a person is usually more expensive per customer than an advertisement in a city, not less, unless the channel is someone who already serves them.

Testing the funnel before you build

Each filter can be tested cheaply. Rank your districts on PhonePe Pulse and pick the two with the highest digital payment density for their size. Send a UPI payment link for a small refundable deposit to a list from your channel and count who pays: that measures the digital and category filters together. Run the same offer at two prices to see where the budget filter bites. Ask a channel partner for the number of people they actually reached last month, not the number on their brochure. A week of these tests replaces most of the assumptions in the figure.

A quarterly ritual: the wallet sheet

Keep one sheet with a row for each district you serve or plan to serve and a column for each filter. Every quarter, replace one assumption with a measured number, starting with the filter that shrinks the funnel most. Update the district’s payment data from the latest public release. Then compare the funnel’s final number with the customers you actually have there. Where the two agree, expand. Where the funnel says thousands and the customers are dozens, the filter you have not measured is the one that is wrong.

The worked example is illustrative. Public figures were checked in October 2026 and will have moved. Nothing here is investment advice.