
Matchmakers Push for App Integration. The Real Play Is AI.
- Match Group's Tinder lost 8% of paying users year-over-year in Q3 2024, whilst Bumble's paying subscribers dropped 3% in the same period
- Traditional matchmakers charge between £3,000 and £25,000 for multi-month packages, with dating coaches commanding £100-£300 per session
- 45% of US dating app users described their experience as 'very or somewhat negative' in 2023, up from 37% in 2020
- Match Group announced $150M in AI investment in November 2024, focused on algorithmic matching rather than human curation
Dating coaches and matchmakers are mounting a coordinated campaign urging Match Group and Bumble to abandon swipe-based models in favour of premium matchmaking and relationship coaching services. The pitch sounds user-focused, but the economics reveal something different: professionals whose businesses depend on app failure are prescribing solutions that would legitimise—and potentially commoditise—their own high-margin services. What users actually want, and what the industry can profitably deliver, may be two entirely different propositions.
The Conflict of Interest Nobody's Mentioning
Erika Kaplan's company offers matchmaking services starting at several thousand pounds annually. Traditional matchmakers typically charge between £3,000 and £25,000 for multi-month packages, according to figures from the UK's Association of British Introduction Agencies. Dating coaches command £100-£300 per session. These are businesses built on the premise that apps don't work—or at least, that they don't work well enough.
When these same professionals advocate for apps to incorporate their services, it's worth asking whether this represents authentic user demand or a pitch to sell their expertise to platforms with distribution. The distinction matters. If Tinder or Hinge were to integrate coaching features, they would effectively be legitimising—and potentially commoditising—services that currently command premium pricing in the private market.
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The economic incentive cuts both ways. Dating apps have spent the past two years watching user fatigue translate into shrinking subscriber bases. Match Group disclosed that Tinder lost 8% of its paying users year-over-year in Q3 2024. Bumble's paying users dropped 3% in the same period. Niche platforms emphasising compatibility over volume—apps like Thursday, Keeper, and The League—have gained traction precisely by positioning themselves against the swipe-and-scroll model.
What Users Actually Want vs. What the Market Claims
The dating coaches aren't entirely wrong about user sentiment. Pew Research Center data from 2023 found that 45% of dating app users in the US described their experience as 'very or somewhat negative', up from 37% in 2020. Hinge's internal research, disclosed during Bumble's Q2 2024 earnings call, showed that 72% of its users wanted 'more meaningful connections', which the company used to justify its pivot toward 'designed to be deleted' messaging.
Desire for meaningful connections doesn't automatically translate into demand for in-app life coaching. What users say they want and what they'll pay for often diverge.
Match Group already tested coaching features in 2019 through a partnership with relationship therapist Esther Perel on Hinge. The feature generated press coverage but was quietly discontinued within 18 months, suggesting adoption didn't justify the investment.
The assumption underpinning the matchmakers' critique—that apps should 'prepare users for being good partners'—warrants scrutiny. Dating apps are distribution platforms. They solve for introduction at scale, not for the emotional labour of relationship readiness. Expecting Tinder to teach conflict resolution is like expecting Deliveroo to teach cooking. The platform can facilitate access, but the outcome depends on what users bring to the transaction.
Industry Positioning vs. User Needs
This is less about user needs than industry positioning. Matchmakers watching dating apps struggle with retention see an opportunity to pitch their model as the solution, but the evidence that users want premium human intervention at app scale is thin. What's more likely: mainstream apps will continue automating personalisation through AI-driven matching—which costs pennies per user—rather than integrating high-touch services that don't scale and cannibalise their volume-based model.
The real threat to traditional matchmakers isn't that apps won't adopt their methods. It's that AI will replicate their value proposition at a fraction of the cost.
Where Platforms Are Actually Investing
The major apps are responding to user fatigue, but not in the direction matchmakers hope. Match Group announced $150M in AI investment during its November 2024 investor day, focused on improving match quality through behavioural algorithms rather than human curation. Bumble launched 'Opening Moves' in September 2024, which uses AI to generate conversation starters based on profile compatibility—automation, not coaching.
Grindr disclosed during its Q3 2024 earnings that it's testing a 'Relationship Mode' that surfaces users seeking long-term connections, but the feature is algorithmically driven and doesn't involve human matchmakers. The company's product chief, AJ Balance, told investors the feature cost 'minimal engineering resources' to build because it leveraged existing preference data. That's the model that scales.
Dating apps have every incentive to improve match quality and retention. They're just solving for it with technology, not with relationship therapists. The unit economics don't support high-touch services on platforms serving tens of millions of users. A dating coach charging £200 per session can serve perhaps 30 clients monthly. Tinder serves 10 million daily active users. The maths doesn't work.
Where premium human curation does thrive is in ultra-high-net-worth matchmaking—clients paying £50,000+ annually for discretion, vetting, and access to exclusive networks. That market exists, but it's tangential to the challenges facing MTCH and BMBL. Apps chasing mass-market subscribers won't fix retention by adding concierge services. They'll fix it by making algorithmic matching less terrible, reducing harassment, and offering better signals of intent. All of which can be automated.
The dating coaches calling for apps to become more like matchmakers are diagnosing a real problem: user dissatisfaction is measurable, and platforms are losing paying subscribers. But their proposed solution serves their business model more than it serves the app operators they're advising. If mainstream platforms wanted to offer coaching, they'd acquire a dating coach platform or build the feature in-house. They're doing neither, which tells you what they think of the market opportunity.
- The push for human coaching in dating apps comes from professionals whose businesses depend on app inadequacy, creating a fundamental conflict of interest that undermines their recommendations
- Major platforms are betting on AI-driven personalisation and algorithmic improvements rather than high-touch services, reflecting both unit economics and scalability constraints that make human curation commercially unviable at mass-market scale
- Watch whether mainstream apps acquire niche compatibility-focused platforms or coaching services—their current investment patterns suggest they view automation, not human intervention, as the solution to retention challenges
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