Home — — Apps Match beta test targets dating app complaints like frustration with swiping, ghosting...

Match beta test targets dating app complaints like frustration with swiping, ghosting – TechCrunch


Match today introduces new features that aim to address some of the users’ complaints with modern-day dating apps — like how much time it takes to find a relevant match and how frustrating it is when users ghost one another after the initial conversation fades. As part of a new strategy to better position Match for more “emotionally mature” singles (read: adults), the company says it will begin beta testing a recommendation system called “Matched by Us,” which may pave the way for a broader matchmaking service in the future. It’s also testing an anti-ghosting feature that pushes users to either continue a conversation or unmatch the recipient instead of leaving them hanging.

dating app complaints

The features are designed to address the challenges that face Match’s older demographic. Match users tend to be in their 30s and up and have entire lives. They’re generally ready to find relationships and settle down with a partner. That’s a different life phase than those using other Match dating apps, like Tinder, where younger users are still in a more exploratory phase and enjoy going on many dates, including casual dates.

“When we talk to our members, we hear a lot of frustration around [there being] a lot of swiping, a lot of messaging back and forth — that’s happening in the dating world more broadly,” explains Dushyant Saraph, Match’s chief product officer. “When we think about folks on our product, who don’t have a ton of time, that’s where ‘Matched by Us’ came from. Our singles don’t want to swipe through hundreds of profiles,” he says.

The new feature, which is available to free and paid users alike, will present one free customized Match every week, where both users can see each other and no longer have to wait for a “like” back to engage in a conversation.

The system works to find compatible matches by algorithmically examining a new set of preferences around users’ personalities, based on responses to questions posed in users’ Match bios.


Please enter your comment!
Please enter your name here