How Happn’s Algorithm Works in 2024: A Deep Dive

Happn records every real‑world encounter between two devices using encrypted Bluetooth beacons. Each "cross‑path" generates a data point that includes distance, time of day, and frequency of repeats. The engine then groups these points into a "proximity score" that serves as the base layer for any match suggestion.

Key actions you can control:

• Enable precise location services to ensure your beacons are captured accurately.
• Visit popular venues during peak hours to increase cross‑path volume.

Beyond raw proximity, Happn layers three additional signal groups: interaction history (likes, super‑likes, replies), profile completeness, and activity recency. Each group receives a weight that can shift daily based on user engagement trends. For example, a fresh profile with a high‑quality photo may receive a 15% boost, while a dormant account loses points.

Practical tip: refresh your main photo weekly and add at least three new interests to keep the algorithm’s freshness factor high.

• Proximity is only the starting point; interaction and recency dominate the final ranking.
• Keep your location services on and visit high‑traffic spots to generate more cross‑paths.
• Update photos and interests regularly to earn freshness bonuses.
• Engage quickly after a match—early replies signal high intent to the algorithm.