Instead, apps tend to push users to chat more – with things like buttons for adding photos and GIFs, or even tabs for browsing Facebook-style News Feeds. This influences the dating apps’ design – they don’t tend to include features designed to connect people in real life.įor example, they don’t make suggestions of events, concerts, and other things to do they don’t offer maps of nearby restaurants, bars, coffee shops, or other public spaces for first dates they don’t offer built-in calling (or gamify unlocking a calling feature by continuing to chat in app) they don’t use in-app prompts to suggest users exchange numbers and leave the app. It’s not in dating apps’ financial interest, at least, to create relationships (i.e., heavy user churn). This is something of a first for the dating app industry, which is today incentivized to keep users “playing” their matching games, and spending money on in-app subscriptions – not leave them. It also plans to combine the We Met data with other signals – such as, whether users become inactive in the app or delete their accounts, as well as email survey data – to figure out which dates may have turned into relationships. With the launch of We Met, Hinge will now know when dates succeed or fail, and eventually, perhaps, why.
Instead, Hinge uses collaborative filtering – people who like X also like Y – to help inform its matches on that front.
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“You can’t really aggregate people into their component pieces and try to crack what’s someone’s ideal person,” McLeod explains. So if there are more people like that person, we can show them to you,” says Hinge CEO Justin McLeod.īy “like that person” it’s not a matter of physical appearance or some sort of profile categorization, to be clear.
“Ultimately, if you went on a date with someone and you thought they were great, that’s the strongest signal that we’ve gotten very close to your type of person.
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