# How Zoominfo uses Pinecone

**\>50%**: “\>50% increase in user engagement, driven by more relevant and timely recommendations”

As published on [pinecone.io](https://www.pinecone.io/customers/zoominfo/). Captured by usedby on 2026-10-08.

- Company: [Zoominfo](https://www.usedby.ai/companies/zoominfo.md)
- Tool: [Pinecone](https://www.usedby.ai/tools/pinecone.md)
- Industry: [Sales Tech & CRM](https://www.usedby.ai/companies/industry/sales-tech-crm.md)
- Teams: Applied AI, go-to-market teams, sales and marketing teams

## What the story says

ZoomInfo uses Pinecone as the vector database behind a real-time contact recommendation system. When a user views a company profile, the system runs semantic search over contact embeddings and suggests the right people to reach out to.

Summary written by usedby from the source page, in English. The figures are those of Pinecone and Zoominfo, not ours.

> Pinecone enabled us to build, scale, and optimize a real-time contact recommendation system that processes thousands of large-embedding-model vector search queries per second, which has driven a 2x improvement in relevancy and 50% boost to user engagement.

> Pinecone enabled us to build, scale, and optimize a real-time contact recommendation system that processes thousands of large-embedding-model vector search queries per second, which has driven a 2x improvement in relevancy and 50% boost to user engagement.
>
> Tamiro Scholer, Senior Data Scientist at ZoomInfo

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure \>50% is printed word for word on the page, near the name of Zoominfo.
- Checked: the passage quoted above is copied word for word from the page, near the name of Zoominfo.
- Checked: Zoominfo uses Pinecone. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/zoominfo-pinecone · How we check: https://www.usedby.ai/methodology