Case Study: ZoomInfo achieves 50% higher user engagement with Pinecone

ZoomInfo boosts user engagement 50% with Pinecone

ZoomInfo, a provider of go-to-market intelligence software, needed to build a real-time contact recommendation system to help users instantly discover relevant buyers instead of manually searching through data. Their challenge was to perform low-latency semantic search across hundreds of millions of contact vectors while ensuring high accuracy and easy scalability. They chose Pinecone as their vector database to meet these requirements.

By implementing Pinecone, ZoomInfo rapidly developed an enterprise-grade recommendation system. The solution leveraged Pinecone's serverless architecture and Dedicated Read Nodes, which delivered fast, consistent performance and simplified scaling. This resulted in a 50% increase in user engagement, a 2x improvement in relevancy and recall, and the ability to serve 50 times more peak customer requests than their prior system.

ZoomInfo