Dating Data: An Overview of the Algorithm

Dating Data: An Overview of the Algorithm I’ve downloaded and deleted Hinge every few months since , and decided to run the data on my most recent download to see how things were going. I did not go on any dates with anyone new due to the pandemic, but I did chat with a few. What is Online Dating? Online dating is algorithmic matchmaking. Most apps ask you a series of questions or require you to list preferences, the answers of which are assessed by an algorithm and used to pair you to potential partners. It’s really a gamification of connection with others. There are a host of issues that can accompany use (such as safety, objectification, superficiality, etc.) but there are also benefits. The apps also assume that ‘love’ is quantifiable, to an extent. Love has patterns, and these algorithms take advantage of those patterns to recommend compatible partners across the network. And it’s a BUSINESS. Revenue was almost $1B in the U.S. in 2019, and is expected to be $1.1B in 2024. The number of users is expected to grow by 5M, up to 35.4M, over the same timeframe. Match Group, the online dating conglomerate, owns Hinge, Tinder, Match, OkCupid, PlentyofFish, and many more. They recently separated from IAC, the details of which are outside the scope of this article and doesn’t impact the apps noticeably. The apps seem to be doing well. Most of them rely on a freemium model, in which the core features of the app are free, but premium features are offered on either a subscription or a one-time purchase basis. Tinder is definitely the biggest focus of Match Group, with a 123% 5Y Revenue CAGR, but the company has also invested substantially in Hinge. The pandemic has driven a lot of users to the apps, as the more traditional way of meeting someone (the bars, the gyms, etc.) are closed down. People are also paying for more match opportunities, as shown by the growth in Average Revenue per User to $0.60. […]