For more information about AnalyticsIQ’s B2C and B2B data available within the Snowflake Data Marketplace, visit
AnalyticsIQ, a provider of predictive marketing data, has expanded its relationship with Snowflake, provider of a data platform as a cloud service. AnalyticsIQ will now make its B2C and B2B data available through the Snowflake Data Marketplace.
Through this integration, organizations will have access to AnalyticsIQ’s predictive data points. Snowflake users can tap into the power of this data for first-party audience enrichment, custom analytics, predictive modeling, digital targeting, and measurement.
“Our data is incredibly valuable. But what’s wonderful about our integration with Snowflake and the data collaboration capabilities they offer users is that organizations aren’t handcuffed to a single data source,” says Margo Hock, VP of strategic partnerships at AnalyticsIQ. “Snowflake Data Marketplace makes it simple for users to not only access the specified data AnalyticsIQ data points they need, but they can easily blend together additional niche data sources and connect it to their own first-party data,” adds Hock.
According to the companies, customers will be able to use AnalyticsIQ’s data will be able to access the data offline, online, and even through tokenization partners. The companies say users will experience a streamlined purchasing process and recognize cost-savings through seamless, scalable data storage. As part of AnalyticsIQ's participation in the Snowflake Data Marketplace, companies can also work directly with AnalyticsIQ to develop custom data assets and audiences.
“We are thrilled to have AnalyticsIQ join the Snowflake Data Marketplace. Our company is committed to helping data consumers access the best of the best data providers,” said Adrian Bolosan, Snowflake industry principal for media & entertainment. “By joining our marketplace, Snowflake customers will be able to take advantage of our ‘try before you buy’ capabilities so they can evaluate data, including AnalyticsIQ’s, and then seamlessly upgrade to the full dataset when they’re ready.”