Case Study: Qualia achieves cross-device identity tracking and greater ROI with Neo4j

A Neo4j Case Study

Preview of the Qualia Case Study

Identity Graph Analysis at Scale Provides Qualia Customers with greater ROI

Qualia provides cross-device consumer identity and audience insights to advertisers, combining geolocation and behavioral data to build profiles for targeted marketing. Their original product was optimized for single-device tracking and struggled to associate changing device and cookie signals with the same user, limiting their ability to deliver accurate cross-device audiences and strong ROI for customers.

Qualia added Neo4j to their technology stack to build a scalable identity graph, integrating Neo4j with Hadoop, Spark, BigQuery, MongoDB and other tools to ingest and process signals. The graph-powered solution (about 1.2 TB with ~3 billion nodes and ~9 billion relationships) enables fast queries across billions of data points, allowing Qualia to track consumers across devices and substantially increase ad sales, conversions and customer ROI.


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Qualia

Niels Meersschaert

Chief Technology Officer


Neo4j

166 Case Studies