Why the Company That Keeps Score Never Has to Rent an Audience
Fifteen years of financial startups that quit buying attention and started measuring the game.
WHAT IT COSTS TO RENT A CROWD
Chime spent $519.7M on sales and marketing in 2024 – 35% of gross profit – for 1.4 million new members: $109 a head by its S-1, $91 without brand ads, $371 with salaries and stock comp. PNC Bank: $337 million, 2% of revenue, 2,200 branches.
It also paid $33 million over three years for Dallas Mavericks jerseys. Super Bowl LX hit a record $8 million per thirty seconds ($10 million for prime slots); eleven fintech brands paid it. Robinhood pays customers instead: a 3% IRA match for Gold members, an uncapped 2% bonus on transfers and 401(k) rollovers in 2026.
All of it works – while you keep writing checks. Anish Acharya of a16z named the problem in 2020: “increasingly generic product experiences and rising acquisition costs.” It is inventory any competitor can buy at the same price. Stop paying and it is gone. You rented a crowd and the crowd went home.
THE REFEREE’S JOB
Never charge a problem head on; work the edges while everyone else runs at the same wall. When everyone bids on the same thirty seconds, the winner is whoever found a door nobody guarded. One seat in the stadium is free: the scorekeeper’s – unpaid, unwatched, and read by everybody.
The move: find the question your market argues about and cannot settle. Answer it with a number only your systems produce. Name it so a normal person will say it out loud. Publish it the same date every period, free, forever.
It compounds: year one, a forgettable press release; year five, people chart against you; past ten, a citation – and citations do not churn. Nobody outbids you for a ten-year series. Peter Thiel’s “competition is for losers,” run by one analyst with a calendar invite.
A billboard expires with the invoice. A scoreboard ends up in a Federal Reserve working paper.
STEP ONE – REFEREE A FIGHT PEOPLE ARE ALREADY HAVING
“Purchasing power parity” is a subject. “Is your currency overpriced?” is a fight. Nobody forwards a subject. Every market has an argument that recurs and never settles because nobody collected the data. That argument is your product.
1. The Big Mac Index (1986). The Economist’s Pam Woodall priced currencies with a hamburger on September 6, across 13 countries. Same recipe in roughly 120 countries makes it a control variable. Now in textbooks, academic papers, IMF and central-bank valuation debates – and it coined burgernomics.
2. Truflation (2022– ). Is CPI honest, and why wait a month? A $100,000 bounty project became a daily read from 13 million+ data points across 30+ sources, claiming a 45-day lead on the BLS. It reached the Bloomberg Terminal in early 2026; then the 37-day shutdown stopped official data and proved the point.
3. Ramp (2023– ). Others asked companies if they used AI; Ramp measured what 70,000+ businesses paid for. Census Bureau: 20%. Ramp’s cards: 46.6%. A startup corrected the federal statistical system – the New York Times, Wall Street Journal, Financial Times, Bloomberg and NPR’s Planet Money all ran it. It bought a Super Bowl ad too; which gets cited in 2030?
STEP TWO – A SCOREBOARD READABLE FROM THE CHEAP SEATS
Two questions: can a producer fit it in a chyron, and will a normal person repeat it at a bar? “Eleven pipers piping” passes. “Core CPI ex-shelter” fails. For a number nobody must read, the name is most of the distribution.
4. PNC’s Christmas Price Index (1984– ). A Pittsburgh bank pricing a carol, fifth decade running. 42nd edition: $51,476.12 for twelve gifts, up 4.5% against a BLS October CPI of 3.0%; all 364 gifts, $218,542.98. Five gold rings up 32.5%, pear tree up 14.3%, plus a straight-faced “core” index excluding swans.
5. Toast (2023– ). Average tip from roughly 171,000 locations, quarterly. Q1 2026: 19.3% full-service, 15.8% quick-service; Delaware highest at 22.1%, California lowest at 17.3%. Axios covers the state ranking nationally, then locally; LendingTree analyzes it unasked. No rival tipping figure exists to rebut it.
6. Robinhood’s Investor Index (2022– ). Outside sites scraped its most-owned holdings for years; shutting the API in 2020 killed the coverage along with the leak. On September 9, 2022 it rebuilt the insight as its own: 20 million+ funded accounts, weighted by conviction, not dollars. Bloomberg covered it that day. If strangers will steal your data, publish it yourself.
STEP THREE – LOSE CONTROL ON PURPOSE
You are not trying to keep the number. You are trying to get it stolen. The day somebody quotes your figure with no idea your company exists is the day it started working.
7. Case-Shiller (1980s). Two economists built a repeat-sales housing index for an honest read on home prices. On May 16, 2006 the CME listed futures at $250 per index point – $62,500 notional per contract at 250. Shiller took the Nobel in 2013. The futures flopped (7,579 contracts through September 2008), but the number got away clean. Getting away is the win.
8. Homebase (2020– ). A free scheduling app published what its dashboard knew: which small businesses were open and hours actually worked – the most valuable data in America in spring 2020. The St. Louis Fed built a labor-market coincident index on it (60,000 businesses, ~1 million hourly employees); Drexel and Chicago Booth published papers; CNBC used it. A monthly report then brought 300+ pieces of earned coverage and the Wall Street Journal front page. Media budget: zero.
How it fails: publishing on schedule with nothing to say. Twice and it is a chore; reporters stop opening the email. Find the slice inside the flat number, or skip the month and say why.
STEP FOUR – SHARE THE STADIUM
You rarely own both halves – data without an audience, an audience without credibility, credibility with half a dataset. Do not buy the missing half. Find whoever has it and has an equally embarrassing gap.
9. WWF and MTV (1984). The WWF could not buy teenagers; MTV could not make live drama. On July 23, “The Brawl to End It All” aired from Madison Square Garden: 23,416 in the building, one match, a 9.0 Nielsen – MTV’s highest-rated program to that point. Eight months later: WrestleMania.
10. Plaid and the Harris Poll (2020– ). Plaid borrowed credibility, not eyeballs. The 2021 Fintech Effect survey put U.S. adoption at 58% to 88% in a single year. Six editions later, still the default citation.
11. Ramp and Revelio Labs (2026). Ramp borrowed a dataset, matching spending records to Revelio’s workforce data across about 21,500 companies: heavy AI adopters grew headcount roughly 10%, entry-level hiring about 12% – against the story that AI deletes junior jobs. Neither had the picture alone.
THE FIFTEEN-YEAR LEDGER
Primary Venture Partners noted in 2026 that the largest fintech businesses all have “proprietary data assets at their core.” Incomplete – plenty of companies hoard proprietary data and die anyway. Publishing it is what turns it into a company.
12. Credit Karma (2007– ). It gave away the number itself, back when credit scores cost money – then the full report, then a business built on the traffic. By 2020: 100 million+ users, 37 million monthly actives, just under $1 billion in revenue. Intuit paid $7.1 billion.
13. CB Insights (2008– ). Front door: a free newsletter and free quarterly State of Fintech report, co-branded with Money20/20 so somebody else supplies the audience. The platform behind it did an estimated $100 million in revenue by 2022. Not marketing – what the product advertises with.
14. Wise (2011– ). The fight: your bank’s hidden exchange-rate markup. Wise publishes a table pricing its own competitors, added quarterly mission reports in 2018, and put the cost to Americans at roughly $8.7 billion a year. Pricing your rivals is aggression dressed as public service.
15. Chainalysis (2015– ). Its annual Crypto Crime Report is the reference document for illicit crypto. 2026: $154 billion in illicit inflows (up 162%), sanctioned entities up 694%, stablecoins 84% of illicit volume – all still under 1% of crypto activity. It bought a $170 million Series F at an $8.6 billion valuation, 1,300 customers across 70 countries, and revenue tilted to the DoD, FBI and IRS. Rivals now benchmark against it line by line. When competitors argue with your number, you are the referee.
16. Carta (2019– ). State of Private Markets, quarterly – the down-round rate every founder checks. From a 22% peak in 2023 to 11.4% in Q1 2026, with $30.4 billion raised that quarter and 60%+ of every venture dollar going to AI. Every VC newsletter reprints the charts free, Carta’s name attached.
Not one of the sixteen bought the coverage. Each published something nobody else could compute, on a fixed schedule, free, and let reporters, academics, rivals and Federal Reserve banks distribute it. Everyone else was at the front door, bidding.
STARTING MONDAY, AND WHAT TO EXPECT
- Referee a fight, not a subject.
- Use data only you have. If a consultant could buy the same numbers, the moat is not real.
- Name it so a stranger will repeat it.
- Fix the date and never move it. Dull consistency is the strategy, not a flaw in it.
- Publish the methodology. Credibility is cheaper than a media buy and lasts longer.
- Give it all away. A paywall kills citations; you are selling the byline, not the data.
- Find whoever holds the other half of the stadium. MTV had airtime, Vince had wrestlers, Plaid had Harris, Ramp had Revelio.
Then be patient: about two years to a dependable press cycle, five to a series people chart against, ten to a citation. The early signals are unglamorous – an unasked-for citation, someone analyzing your data, a competitor benchmarking against you, an institution adopting it. Nobody gets there in a quarter, which is why so few follow you through the side door – and why it stays open.
A Super Bowl spot costs $8 million and is over in thirty seconds. A scoreboard costs one analyst and a calendar, and forty years later the whole league is still checking it.