Tinder is an online dating and geosocial platform. Many users find Tinder helpful for meeting new people for friendships and relationships. Just like every business today, Tinder also use Data Science for its business. So, if you want to know how Tinder uses Data Science, this article is for you. In this article, I will introduce how Tinder uses Data Science for its business.
Here’s How Tinder Uses Data Science
Tinder uses the data of its users based on how they interact with the application. Your every swipe generates data for Tinder that they use for their business. Below are some ways how Tinder uses Data Science for its business.
Profile Recommendations
Tinder collects swipe data based on every profile. There are three ways you can react to every profile on Tinder:
- Like or right swipe
- Pass or left swipe
- Super Like
Tinder uses the concept of collaborative filtering to recommend profiles. The profiles which get more right swipes are recommended more to every potential partner. It also means that the more your profile is swiped left, less your profile is recommended to other users on Tinder.
Categorizing Popular Profiles
Pushing profiles with more right swipes helps Tinder earn more money from their users. Tinder categorizes popular profiles by analyzing the number of right swipes a profile has.
Once a profile is classified as a popular profile on Tinder, it shows you that “this profile is popular, so if you want to increase your chances of getting matched with it, super like it”. Every user has a limited number of super likes. To get more super likes, Tinder suggests you upgrade your subscription to Tinder Platinum which helps Tinder to earn more from their users.
Summary
So here are some of the ways how Tinder uses Data Science for its business:
- The profiles which get more right swipes are recommended more to every potential partner.
- Tinder categorizes popular profiles by analyzing the number of right swipes a profile has. To increase your chances of getting matched with such profiles, you need super likes, which require you to upgrade your subscription.
I hope you liked this article on how Tinder use Data Science for its business. Feel free to ask valuable questions in the comments section below.
