Men Pay £40 a Date, Women £8. That Gap Is the Industry's Risk.

Men pay up to £40 per date on dating apps, five times women's cost, averaging just 5 dates a year vs. 27. The cost-per-date metric is about to reshape how platforms get scrutinized.

Bill AlenaFounder & CEO, High Intent Media
6 min readUpdated July 20, 2026
Men Pay £40 a Date, Women £8. That Gap Is the Industry's Risk.
Men Pay £40 a Date, Women £8. That Gap Is the Industry's Risk.

Dating apps have spent years presenting ARPU and subscriber counts as the metrics that define their health. There is a number they have not been presenting: cost per date. Analytics firm PlayersTime has now quantified it, and the results should unsettle anyone who thinks the current model is sustainable. Men on major platforms pay up to £40 per date. Women on the same platforms, paying identical subscription prices, pay roughly £8. That five-to-one disparity is not a product quirk. It is the economic foundation the industry has been quietly building on, and the foundation is cracking.

The PlayersTime data puts Bumble (BMBL) at the worst end of the gap: men averaging 4.8 dates per year against women's 26.8. Tinder's match imbalance tells the same story at an earlier stage: women receive an average of 81 monthly matches versus 33 for men. The platforms know these numbers. They have not made them a headline.

The High Intent Take

This is the dating industry's dirty secret made quantifiable. For years, platforms have extracted subscription revenue from male frustration while delivering dramatically inferior return on investment to that same subscriber base. It worked when users had no benchmark to compare against. The moment cost per date becomes a standard metric, the way price per gigabyte is standard for mobile carriers, platforms running five-to-one disparities face questions they have never had to answer publicly. Any operator treating this as a feature rather than a structural problem is storing up trouble that compounds with every quarter Tinder loses paying subscribers.

The original reporting on this data includes the claim that gender imbalance "could be a beneficial thing for the industry" because male users are "more willing" to pay. That is the kind of short-term thinking that works until word spreads that the product does not deliver, and then acquisition costs spike.

Why the Disparity Exists and Why Algorithms Make It Worse

The cost gap originates in gender ratios that skew heavily male on most platforms. More male users competing for attention from fewer female users means lower match rates for men by default. But the gap is compounded by algorithmic mechanics and behavioral patterns. Relationship psychologist Limor Gottlieb, cited in The Times, notes that men typically deploy high-volume swiping strategies, which many algorithms actively penalize with reduced visibility. Women, receiving more inbound interest, swipe more selectively, which the algorithms reward.

The result is a structure where premium subscriptions improve male visibility at the margins but cannot change the underlying supply-demand dynamic. A small cohort of highly active men captures a disproportionate share of available matches, leaving a long tail of paying subscribers with minimal return for their money and their time. That long tail is paying £40 per date. Most of them do not know that figure. When they find out, they will not keep paying.

What makes this particularly notable is how consistently absent the conversation is from investor communications. Match Group (MTCH) and Bumble earnings calls address paying subscriber counts, average revenue per paying user, and retention. Cost per date, the metric that would tell investors whether the product actually works for the majority of its paying customers, does not appear. That silence is a choice.

The Regulatory Exposure Is Real and Coming Faster Than Expected

The UK's Competition and Markets Authority has spent two years examining subscription pricing practices across digital platforms. Gender-based outcome disparity, even when driven by user behavior and algorithmic mechanics rather than explicit pricing tiers, sits uncomfortably alongside the CMA's growing scrutiny of algorithmic fairness. The fact that two users pay the same price and receive dramatically different value creates a consumer protection angle that does not require a discrimination framing to be actionable.

The EU's Digital Services Act mandates transparency around algorithmic systems that significantly affect users. Explaining why male subscribers receive one-fifth the dates per pound spent is exactly the kind of disclosure a transparency requirement can surface, and exactly the kind of disclosure platforms have every incentive to avoid. That does not make current practices illegal. It does mean the cost-per-date figure has handed regulators and consumer advocates a quantifiable basis for scrutiny that previously did not exist in this form. Operators who dismissed the CMA's focus on fake profiles and auto-renewal practices until it landed as enforcement should not make the same mistake here.

The Attempts at Solutions and Why They Have Not Worked

Several platforms have positioned themselves as corrections to the gender imbalance problem. Thursday concentrates active days to once per week, theoretically improving liquidity and match rates by compressing supply and demand into a smaller window. Feeld, built around non-traditional relationship structures, claims more balanced gender ratios than mainstream platforms. Neither has produced evidence of substantially improved cost-per-date outcomes for male subscribers.

Bumble's women-message-first mechanic was the most prominent structural intervention, designed to rebalance power dynamics and create a better experience for female users. The PlayersTime data suggests it delivered the worst male outcomes of any major platform: 4.8 dates per year. Bumble's brand promise has been a better experience, the data reveals that "better" was defined with a specific half of the user base in mind.

The honest structural alternatives are uncomfortable for any operator with growth targets. Variable pricing by gender would trigger immediate regulatory and reputational exposure. Limiting male sign-ups to manage gender ratios runs directly against subscriber growth metrics. Algorithmic changes that reduce penalty for high-volume swiping reduce the quality signal the algorithm relies on. None of these have clean solutions, which is why the industry has preferred to optimize ARPU and not ask the cost-per-date question.

Research shows growing disillusionment among male dating app users in both the US and England, and patience with the current model is measurably thinning. The operator that builds a platform demonstrating materially superior cost per date for male subscribers will not just win market share. They will reframe the entire competitive conversation and force the incumbents to defend an inefficiency they have been monetizing quietly for years.

  • Cost per date is emerging as the metric that will reshape how users, media, and regulators evaluate dating platform value, any operator who can demonstrate material improvement in male user outcomes will control the narrative and force incumbents to respond.
  • Watch for CMA and DSA enforcement actions that use algorithmic outcome disparity as their basis: the PlayersTime data creates the quantifiable benchmark regulators need to move from general scrutiny to specific questions, and the platforms that have not prepared for that disclosure are most exposed.
  • The operator who solves gender balance structurally, not through marketing positioning but through actual outcome data, gains a first-mover advantage that is genuinely hard to replicate, because it requires changing the economics of acquisition and matching rather than just the messaging.
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