MODERN DATA MANAGEMENT
Ready, Set, Integrate
Speed up your go-to-market motions by switching from complicated B2B data ingestion processes to modern data management.
Access ZoomInfo’s Data Cubes directly in AWS, Google Cloud, Databricks, or Snowflake (or through flat files)
Get more mileage out of your data by combining first- and third-party data within your data and analytics engine
Share scalable, high-performance go-to-market insights with your revenue teams
The best B2B data, right in your cloud
We’ve partnered with leading cloud providers to make it easy to ingest data where you work, with your existing first- and third-party data
Get More Insights from Your Data
By combining ZoomInfo’s unparalleled data with your first- and third-party data already in your cloud, you’ll be able to drive more insights with improved accuracy.
Target Addressable Market (TAM) Analysis: A data-driven way to evaluate your total addressable market and identify the best-fit accounts to target.
Ideal Customer Profiling (ICP): Find net new target accounts that are similar to your existing customers using unconventional company characteristics.
Improve Lead Scoring: Identify company organizational, contact, and technographic changes to more effectively route good leads to the right team.
The Best Data
Choose ZoomInfo B2B Data Integration for GTM Success
Prospect your total addressable market — from SMBs to enterprises — with high-performance integrated B2B data built for sales and marketing teams.
Create comprehensive account views with accurate ICPs, territory assignments, and detailed accounts maps
Insist on reliable B2B data that’s gathered with patented AI, natural language processing, and a human-in-the-loop approach
Complete your go-to-market solution with ZoomInfo’s APIs, Data Quality Management plus multi-vendor enrichment
“Our systems run on AWS, as do many of our customer’s systems.
We have a high degree of trust in the platform from a security standpoint. ZoomInfo’s integration with S3 makes it substantially easier to utilize the data effectively.”