Sub Club by RevenueCat · 2026-01-07
How a Single Paywall Experiment Generated $50M – Jeff Morris, Chapter One, Ex-Tinder
Jeff Morris (ran revenue at Tinder for 4.5 years, now GP at Chapter One) on Tinder's monetization playbook: monetize only after PMF (years 4-5, 30-40M MAU), paywall on daily swipes, tiered packaging from entry subscriber to $50K/year whales, geo pricing grid, per-feature paywall entry points tracked on a daily dashboard, polished paywall design, and a 2018 top-nav subscription toggle A/B test that generated $50M. Also: hard paywalls can give false PMF signals, AI apps monetize early without optimizing.
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Numbers mentioned
| Subject | Metric | Value | Quote |
|---|---|---|---|
| Tinder | revenue Revenue attributed to the single top-nav subscription toggle experiment (time window not given) | USD 50M approximate | “One particular experiment that you mentioned was a single experiment that generated $50 million in revenue.” |
| Tinder | users Monthly actives reached before monetization became a focus (years 4-5) | 30M–40M users/month approximate | “We had scaled the product to 30 to 40 million monthly actives, but we didn't have a huge focus on monetization.” |
| Tinder | users Monthly actives around the time of the top-nav experiment | 50M users/month approximate | “I had the benefit and fully aware of how lucky I was to be working at scale with 50 million monthly actives” |
| Tinder | arpu Largest spenders ('whales') on Tinder's subscription products | USD 50Kper customer /year approximate | “someone who can spend like $50,000 a year on a subscription product, which we had at Tinder” |
| Tinder | team size Initial revenue team: Jeff plus 3 iOS and 3 Android engineers | 6 engineers approximate | “And it was just myself and call it five or six engineers. You had three iOS engineers and three Android engineers.” |
| Tinder | team size Revenue roadmap engineers when Jeff left | 40 engineers approximate | “And then leaving the company, I think I had 40 plus engineers who were working on all parts of the revenue roadmap.” |
| Tinder | share Tinder's share of its public parent company's revenue | 90% approximate | “Tinder itself was 90% of the revenue of that public company” |
| Chapter One portfolio company (AI prosumer product) | arr Reached within about a year, with a single subscription tier and no paywall or pricing optimization | USD 50M approximate | “they hit 50 million in ARR within, we'll call it a year with a prosumer product” |
| Robinhood | revenue About 10 products each independently generating over $100M | USD 100Mper product estimate | “I think they have 10 products that are independently generating north of $100 million each.” |
| Flighty | price Annual subscription behind a (then) hard paywall, as the guest remembers it | USD 40/year approximate | “I'm willing to pay 40 bucks a year, expense it to your business or whatever it is because it's such a high utility product.” |