Reading a Market Through ARPU and Profit Pools
ARPU is capped by per-capita income; a country's profit pools reveal what it actually values.
- Difficulty
- Moderate
- Time to result
- ~weeks to results
- Steps
- 5
- Confidence
- 92%
Two linked diagnostics for anyone entering or investing in a foreign market. First: ARPU is a function of per-capita income, so user growth in a low-income market is not comparable to user growth in a rich one. Second: the composition of a country's most profitable companies is a readout of that country's real values — and copying another country's profit pool into yours will fail because the underlying values differ.
Origin
Kunal Shah's own framework from operating in India and watching global companies (Netflix, Spotify, Amazon Prime, Meta) arrive expecting Western monetisation and get only users.
Core principles
- 01ARPU is a function of per-capita income of a country.
- 02Cheap data plus high smartphone penetration makes India a great MAU fund and a poor ARPU market.
- 03Global companies use low-ARPU user growth to inflate public-market valuations — don't mistake the metric for a business.
- 04Profit pools are values made visible: what a country pays for is what it cares about.
- 05Cultural facts (divorce rate, female labour participation, marriage norms) directly shape which profit pools exist.
- 06Value of time is culturally learned; where nobody has been paid hourly, time itself is priced at zero.
How to run it
- 1
Cap your ARPU expectation with per-capita income
Before modelling revenue, anchor to average income. You cannot extract $100/user/year from a market averaging ~$2,500/year in income. Shah's estimate: Meta likely monetises India at $3-4 per user per year.
Pro tip Ask what a realistic share of annual household income your product could plausibly command, then work backwards.
Watch out A 100M-user number in India is not the same asset as 100M users in the US. Investors who treat them alike are mispricing.
- 2
Check whether the market prices time at all
Ask locals what their income per hour or per day is. If nobody can answer — because nobody has ever been paid hourly — then time-saving is not a monetisable value proposition there. Shah notes many Indian and Asian languages have no word for 'efficiency'.
Pro tip The tell: people earning $100/hour will still spend an hour to save $10 on a flight ticket.
Watch out Time-saving SaaS pricing logic ('we save you X hours') collapses in markets where time was never priced.
- 3
Rank the thousand most profitable companies in the target country
Look at what industries actually dominate the profit pool. In India, retailers barely feature in the top thousand; in the West they are everywhere. Financial services dominate in patriarchal societies; consumption dominates elsewhere.
Pro tip Use the profit pool as a hypothesis generator: ask what cultural fact explains why THIS pool is deep and THAT one is shallow.
- 4
Trace each pool back to a value or cultural fact
Shah's chain: high Western divorce rates mean constant re-entry into the mating market, which means peacocking, fitness and fashion spend — deep consumption profit pools. India's sub-1% divorce rate, arranged marriages and low female labour participation produce the only market where women's fashion spend is below men's.
Watch out These are conjectures, not laws. Shah presents them as thought experiments he can't prove — treat them as hypotheses to test.
- 5
Refuse to import a foreign profit pool
Do not build a business whose profit pool doesn't exist in your country's value system. Choose to build inside a pool the culture actually funds — or accept you are creating a new one and price that risk honestly.
In the wild
Global streamers arrived expecting tens of millions of paying subscribers. But with abundant free content, the cheapest data in the world and short video competing for time, paying for content was structurally unlikely.
→ Large user bases, weak monetisation. Shah: the expectation 'has not panned out.'
Because of arranged marriage, a sub-1% divorce rate and low female labour participation, India is probably the only market where female fashion spend is lower than men's — everywhere else it's 5-6x higher for women.
→ Anyone importing a Western fashion-commerce model into India is building on a profit pool that doesn't exist there.
Common mistakes
Treating user growth as business proof
Global giants use India's user growth to prop up public-market narratives while monetising at a few dollars per user per year. Founders and investors who read the DAU number as revenue potential misprice the company.
Copying the Western go-big-on-users playbook
Indian founders who chase hundreds of millions of users then discover they must expand abroad just to find enough ARPU to balance the act.
Selling efficiency where efficiency is not a concept
If the language has no word for efficiency and nobody has ever been paid by the hour, a value proposition built on saving time has no cultural purchase.
Is it for you?
Best for
Founders, investors and international expansion leads assessing whether a large emerging market can actually pay for their product.
Not ideal for
Single-market operators in a high-income economy where ARPU ceilings and cultural profit pools are already intuitively understood.
From the transcript
“I think ARPU is a function of per capita income of a country.”
“for global companies, India becomes a great MAU fund, uh but very low on ARPU.”
“One of the things I've learned is that profit pools of a country tell you a lot about what the country values. And trying to…”
“I have noticed that many patriarchal societies have very significant market cap in financial services versus consumption.”
From the episode
Kunal Shah on winning in India, second-order thinking, the philosophy of startups, and more