Case Study: Audience Acuity achieves sub-24-hour identity resolution with Neo4j Graph Analytics for Snowflake

Audience Acuity resolves 3.8 billion records in under 24 hours with Neo4j

Audience Acuity, a premier provider of large-scale identity services, faced a significant challenge in unifying fragmented consumer data signals from numerous sources for identity resolution. Their previous reliance on slow, expensive outsourced vendors and complex on-premises graph databases created heavy operational drag and high costs. They needed an enterprise-grade solution to process billions of data points without moving sensitive information, so they turned to the Neo4j Graph Analytics for Snowflake platform.

By implementing Neo4j's solution natively within Snowflake's AI Data Cloud, Audience Acuity achieved zero-ETL graph analytics, eliminating data movement and pipeline overhead. The results were transformative: they now unify 3.8 billion records and 2 billion edges in under 24 hours, a process that previously took weeks. This Neo4j-powered solution slashed change-request turnaround times to just 2-3 days and significantly reduced infrastructure and operational costs.

Audience Acuity