Case Study: FACEIT achieves 20% competition join rate and boosts gamer engagement with Neo4j

Graph Technology Enhances Gamer Engagement on Faceit

Faceit is a leading competitive online gaming platform (over 12M users and 15M sessions monthly) that needed to keep players coming back by making it easy to find friends, join competitions and discover relevant challenges in a fast-moving, highly competitive market.

Faceit partnered with Neo4j to model social relationships and power real-time, personalized competition recommendations. A friends-import proof of concept generated a third of all friend requests within weeks, and 20% of users joined competitions via Neo4j-enabled recommendations—the platform’s highest join rate—driving stronger engagement and making Faceit more attractive to game developers; the solution runs on Google Cloud.

Faceit

Emanuele Massara

VP of Engineering