In 2023, Match Group — the company that owns Tinder, Hinge, OkCupid, Plenty of Fish, and Match.com — reported annual revenue of $3.4 billion. Bumble reported $903 million. Combined, the two largest dating app corporations generated over $4 billion in a single year.
Every dollar of that $4 billion came from people still looking.
This is not a conspiracy theory. It's not a hot take. It's basic business model analysis. If dating apps successfully paired everyone off quickly, they would lose most of their revenue. The product that maximises shareholder value is the one that keeps people engaged and subscribing — not the one that solves the problem fastest.
Understanding this doesn't mean dating apps are evil. It means their incentives don't point where you think they do. And that matters enormously for how you use them — or don't.
How the money actually works
Both Match Group and Bumble make money in two primary ways: subscriptions and in-app purchases.
Match Group revenue sources (2023 annual report)
Subscriptions renew monthly. À la carte purchases (boosts, super likes, tokens) are one-time buys that users make when they want more visibility or a specific feature. Both revenue streams require the user to remain on the platform, searching, not having found someone yet.
The company that helps everyone find a relationship immediately would lose 100% of its recurring revenue. The company that helps people enough — keeps them hopeful, engaged, occasionally experiencing small wins — without fully resolving the search, maximises lifetime customer value.
"Dating platforms that charge monthly subscriptions have a fundamental conflict of interest: they profit from the search, not the finding. The rational product strategy is to maintain users in a state of hopeful engagement rather than achieve rapid successful pairing."
— Eli J. Finkel, "The All-or-Nothing Marriage" (2017), Northwestern UniversityThe four design mechanisms that keep you searching
This isn't abstract. There are specific design choices in dating apps that extend the search experience, each of which makes sense when you understand the incentive structure behind it.
Variable reward scheduling
The slot machine mechanic. Each swipe has an uncertain outcome — sometimes you match, sometimes you don't. Neuroscience research on variable reward schedules (B.F. Skinner's original work, replicated extensively) shows this unpredictability is more addictive than guaranteed rewards. Swiping is a slot machine. The occasional match is the jackpot that keeps you pulling the lever.
Paid visibility features that don't solve the underlying problem
Boosts, Super Likes, Roses, Top Picks. These features sell the feeling of having more control and more visibility — and they do deliver a short-term spike in matches. But they address a symptom (not enough matches) rather than the cause (matching on the wrong criteria). You get more of the same quality, not better quality. The £3.99 boost wears off. You buy another one.
The "see who liked you" paywall
Showing you that you have likes waiting — but requiring a subscription to see who — is a deliberate anxiety creation mechanism. You know something is there. You don't know what. The uncertainty is uncomfortable enough to drive conversion to paid tiers. Once subscribed, you get access but the search continues.
Engagement optimisation vs relationship optimisation
Apps optimise for Daily Active Users, session length, and return visits — the metrics that drive their valuations. Features that increase these metrics get built. A feature that successfully pairs two people off and removes them from the platform improves exactly zero of those metrics. The algorithmic reward for keeping you present is structural, even if no individual designer chose it deliberately.
The Pew Research problem
In 2023, Pew Research Center published their most comprehensive survey of US dating app users. The results were striking. 46% of dating app users described their experience as "negative overall." Only 23% had been in a committed relationship with someone they met on an app.
"About half of Americans who have used a dating site or app say their overall experience was negative. The share who say it was very or somewhat positive falls to just a third. Users consistently describe a high investment of time and emotional energy relative to outcomes."
— Pew Research Center, "Online Dating in America" (2023)Nearly half of users describe a net negative experience. This is the product of the industry's most successful companies, after decades of iteration. The model has been refined extensively. It still produces this outcome for half its users.
The question worth asking: if the apps were optimising for user outcomes rather than user engagement, would those numbers look different?
What Hinge's own data suggests
Hinge genuinely tries harder than most. Their "designed to be deleted" branding reflects a real intention to be different. They publish outcome data. Their Gale-Shapley algorithm is real and thoughtful.
But Hinge is owned by Match Group. Its subscription revenue model is the same as Tinder's. The "most compatible" feature requires paying for Hinge+. And while Hinge publishes data on dates and second dates, the number that matters most — what percentage of users actually find a lasting relationship — remains carefully unspecified.
That gap is telling. If the number were great, it would be in the headline.
The structural alternative
What would a dating service look like if it only made money from success? LoveCertain charges £49 once. Full refund if no relationship in 90 days. A £99 success bonus — paid voluntarily, after the fact — if a relationship forms.
That structure produces different design choices by necessity. The matching algorithm optimises for compatibility, not engagement. We show fewer profiles — only 70%+ compatibility matches — because volume serves our engagement metrics, not yours. There are no boosts, no super likes, no "see who liked you" paywalls. There's no reason to build them.
The LoveCertain guarantee
We make money when you find someone. Not while you're looking.
Does this mean stop using apps entirely?
Not necessarily. Apps have introduced millions of people to partners they wouldn't have met otherwise. The mechanism works often enough to maintain usage. But dating app fatigue is real precisely because the experience is structured to extend the search, not end it.
What's worth being clear-eyed about: the apps are not neutral tools. They're products designed to maximise specific metrics. Those metrics are not "percentage of users who find lasting relationships." When you use them knowing that, you use them differently — more intentionally, more time-bounded, with a clearer sense of when to stop.
And when you're ready for a service whose financial interests actually align with yours: that's what we built. Here's how it works.
A model that profits from your success, not your search
£49 once. 90 days. Full refund if no relationship. We only win when you do.
What to do with this information
If you're currently using apps, be specific about what you're there for and honest about whether it's working. Set time limits. Treat the apps as a tool with known limitations, not a service that's working hard on your behalf. Using two at most rather than spreading across several reduces the cognitive load without reducing your actual chances.
If you've been on apps for a while without success, the honest question isn't "am I using them correctly?" — it's "is the model itself working for me?" Sometimes the answer is no. And the right response to a broken model isn't more effort within it. It's a different approach. Here's how to think about which platform is actually right for you.
The Certain Letter
Monthly insights on what research actually says about finding and keeping a relationship.
