1) I placed a male profile in ~10 different cities, auto-swiped for a few days, and waited for matches and messages to flow in. I found the match/message rates to be significantly different for each city. Sample size of ~34,000 right swipes.
2) A/B test two female profiles with exact same photos and bio except 1 was a CEO and 1 was Graphic Designer. Swiped on 1000 men in NYC and 1000 men in SF.
3) A/B test two female profiles with exact same photos and bio except 1 was listed as 29 and 1 was listed as 31. Swiped on 1000 men in NYC and 1000 men in SF.
Through my experience in this, I can see the methodology they used in this study could be flawed. Specific concerns:
* While I don't have any real inside knowledge into Tinder's "recommendation" algorithm of who they show to you, I assume there is a strong preference to show active users first. So if they are swiping on hundreds of thousands of profiles, they are probably burning through the legitimately active users in a region pretty quickly... that's one reason why they get a lot of matches quickly and not as many matches over time and end up with a 0.6% match rate.
* The number of messages that guys send (at least as of 2 years ago when I ran my studies) is wildly more than women. The male profile was seeing an 11.8% match rate, and a message rate of 15.3% from the matches for an effective message rate of 1.8%. Whereas the women were getting an 81.5% match rate, with 63.9% message rate from those matches for an effective message rate of 52.1%.
* I believe there is now rate-limiting on the right swiping, so after ~100 or so right swipes, you have to wait 12 hours until right-swiping again. Really not sure how they could have made it through hundreds of thousands of profiles unless they paid for the premium membership.
Anyway, interesting stuff regardless, happy to release more data when I have time, if there is interest.