Case Study: Phunware achieves real-time mobile audience targeting at scale with Neo4j

Phunware - Customer Case Study

Phunware is a mobile applications platform that helps major brands deliver personalized in‑app experiences to billions of mobile users. Faced with massive scale — more than a billion devices seen monthly and over 1.5 billion nodes with 17 billion relationships — the company needed high‑performance, intuitive tooling to query and visualize complex mobile data quickly.

Phunware implemented Neo4j as the engine for its Phunware Knowledge Graph, enabling visual exploration and millisecond‑to‑second query performance. The graph uncovered data‑quality issues, cut routines that once took hours or days down to seconds, and lets customers build on Phunware’s dataset to generate large, targeted mobile audiences and deliver personalized messaging based on apps used, locations visited, intent and interests.

Phunware

James Gray

Director of Product for Big Data