Encounter-Based Dating Apps

Happn is a Missed Connections App Based on Real Life Interactions

This mobile application aims to help singles connect in the form of a missed connections app. Happn uses your smartphone's location to show you potential matches in your area (similar to Tinder) but every time you cross paths with someone they move to the top of your feed (like Highlight). Based on real life experiences, this dating app would be helpful if you run into the same cute person on your morning commute everyday.

This repetition-counting newsfeed feature is what sets the French missed connections app apart. Upon opening the app, a grid appears with your most recent encounters. The further down you scroll, the further you go back in time. When you tap on someone's profile, you can indicate interest and see if a mutual feeling exists. You can also open a free chat window, regardless of whether or not a match has been made.

Encounter-based Dating
Creating apps that connect people based on real-life encounters can create a more personal and serendipitous dating experience.
Real-time Location Tracking
Integrating location tracking technology into dating apps could improve accuracy and enhance connections based on physical proximity.
Repetition-counting Newsfeed
Developing newsfeed features that prioritize recurring encounters with certain individuals could create a more efficient and personalized dating experience.

Sectors Adopting This

Mobile App Development
The development of encounter-based dating apps presents opportunities for app developers to expand into the dating market space.
Location-based Services
Companies that specialize in location-based technology may benefit from providing this service to developers who aim to build encounter-based dating apps.
Online Dating Industry
Encounter-based dating apps have the potential to disrupt the current online dating industry, providing a more authentic and organic dating experience.
SCORE
3.7 out of 10
GENDER
10% Men90% Women
MARKETTop markets: Europe
GENERATION
  • Gen Z
  • Gen Alpha
  • Gen X
  • Millennial (primary audience)
POPULARITY
Popularity 31%
Activity 72%
Freshness 8%