Dating app Hinge has just revealed the results of a study which aimed to determine exactly which pictures are most likely to get you a match in the brutal world of dating apps.
Badoo has revealed the top 10 words featured on its most successful dating profiles and they are pretty surprising. The dating website recently delved into its database and analysed its most successful users’ “about me” sections, taking note of the most frequently used words.
Dating app Tinder recently revealed the list of jobs which get the most right swipes for seven countries: the US, UK, France, Australia, Germany, Brazil and India. While ‘engineer’ was the most sought-after profession for men in Brazil, India showed different results.
Stop Everything: A Tinder CEO Has Revealed Which Pictures Get The Most Right Swipes 21 April 2016, 13:44 | Updated: 25 April 2016, 13:20 Sean Rad reveals how to get the most matches on the dating app.
Tinder’s CEO has revealed which pictures help you get the most matches. Those potential conquests will come FLOODING in.
A new study by dating app, Badoo, has revealed the most right-swiped heights for 18-30-year-olds. In the study, the researchers analysed 20,000 British users, looking at …
In fact, If you have a Tinder profile, or use any dating apps currently, you’re increasing your chances of finding the right person. The key to success is in your profile. The person that you’re trying to attract is out there, but you won’t know if they don’t swipe right.
Sep 21, 2018 · From nurses to interior designers, see if your career is one of the most right-swiped on on the popular dating app. Stay in the loop! Get breaking news and big stories on your desktop.
The LA-based dating app hit the 50 million user mark earlier this year. Smart Photos is the latest in a series of a new features that is has rolled out in recent months.
Data scientists from New York-based dating app, Hinge, analysed their members’ photos to reveal which profile pictures get the most likes. The team assigned 35 unique photo tags, such as smiling with or without teeth, to a random sample of 1,000 photos.