Case Study: MediaConnect achieves blazing-fast real-time recommendations and scalable ticket sales with Neo4j

Mediaconnect - Customer Case Study

Mediaconnect (makers of Prepr.io) provides backend technology for major media and event companies and faced a classic real-time data challenge: during peak ticket drops hundreds of thousands of users compete for limited inventory, and their initial relational‑database approach was slow and required pre‑computed recommendations. They needed a faster, real‑time way to identify fans vs. scalpers and deliver timely, personalized offers.

The team migrated to Neo4j and modeled customers, interactions, and products as a graph, enabling live recommendations (for example, suggesting campsites or lockers) and richer business analytics. The switch made queries “blazingly fast,” supports about 1.5 million ticket sales a year, and unlocked real‑time personalization and new BI insights; they also refined their data modeling by splitting objects into smaller nodes and relationships for better performance.

MediaConnect

Tim Hanssen

CTO and Founder