Data Cloud and Snowflake Bidrectional Data Sharing

Salesforce Data Cloud and Snowflake are excited to announce that bidirectional data sharing between Snowflake, the Data Cloud company, and Salesforce Data Cloud is now generally available. In September, we introduced the ability for organizations to leverage Salesforce data directly in Snowflake via zero-ETL data sharing, enabling unified customer and business data, accelerating decision-making, and streamlining business processes. Today, we’re thrilled to share that customers can now also share Snowflake data into the Salesforce Data Cloud, using the same zero-ETL innovation to reduce friction and quickly surface powerful insights across sales, service, marketing, and commerce applications. Data Cloud and Snowflake Bidrectional Data Sharing.

Data Cloud and Snowflake Bidrectional Data Sharing

Enterprises generate valuable customer data within Salesforce applications, while increasingly relying on Snowflake as their preferred data platform for storing, modeling, and analyzing their full data estate. This integration between Salesforce and Snowflake minimizes friction, data latency, scale limitations, and data engineering costs associated with using these two leading platforms. The Snowflake Marketplace also offers customers the opportunity to acquire new data sets to enhance or fill gaps in their existing business data, driving innovation. By combining enterprise data and third-party data from Snowflake Marketplace with valuable customer data from Salesforce applications, organizations can unify their data and build powerful AI solutions to surface rich insights, driving superior and differentiated customer experiences.

“Zero-ETL data sharing between Salesforce Data Cloud and Snowflake is game-changing. It has opened up new frontiers of data collaboration. We’re excited to see how customers are powering their customer data analytics and developing innovative AI solutions with near real-time data from Salesforce and Snowflake, generating incredible business value. Now that this integration is generally available, this kind of innovation will be broadly accessible,” says Christian Kleinerman, SVP of Product, Snowflake.

Power Personalized Experiences with Salesforce and Snowflake

Data sharing between Salesforce Data Cloud and Snowflake brings together holistic insights, empowering multiple customer-facing departments within any organization to create a truly robust customer 360. As Snowflake’s Chief Marketing Officer, Denise Persson, often states, a true, enterprise-wide customer 360 is the beating heart of a modern, customer-facing organization.

The applicability of this integration spans various industries and unlocks new growth opportunities. For example:

Retailers can combine Commerce and Service Cloud data from Salesforce with point-of-sale and supply chain data in Snowflake to troubleshoot customer challenges and pinpoint manufacturing issues. With a comprehensive single source of truth that merges ERP data with customer data, retailers can run targeted campaigns featuring discounts for surplus inventory.
CPG customers often lack first-party data due to indirect contact with customers. With third-party cookies deprecating, CPG companies must rely on secure data collaboration methods. By sharing Salesforce Marketing Cloud and Sales Cloud data with Snowflake, and unifying those data sets with their own financial and sales data, CPG companies can use data clean rooms to gather a refined view of their advertising and marketing performance. This allows them to adjust strategies and allocate ad spend more effectively, ultimately maximizing ROI. They can then share refined audiences back to Salesforce for consistent, cross-channel campaigns.
Financial services customers can leverage customer data from Salesforce Financial Services Cloud, enrich it in Snowflake, and run proprietary models to predict future returns for their clients. They can unify customer data from Salesforce with data from other marketing and sales applications in Snowflake. With this comprehensive view, they can apply Snowflake’s native AI capabilities to run personalized next-best-action recommendations, maximizing service quality and customer loyalty.
Media and entertainment organizations can unify Salesforce data in Snowflake, leverage data clean rooms to share data with partners while preserving privacy, and fine-tune audience profiles. They can seamlessly share data back to Salesforce for precise targeting in email and marketing campaigns. Additionally, they can activate robust customer data sets through leading media publishers using clean rooms built on Snowflake.
Healthcare companies can collect critical customer data from Salesforce and share it into their Snowflake data platform. They can apply Snowflake’s native AI capabilities for predictive modeling, surfacing opportunities to improve patient and member experiences. For instance, telehealth reps can better serve patients and recommend precise next steps for care. With the ability to send insights back to Salesforce, organizations can activate their data through top-tier customer-facing applications.

The bidirectional integration enables data sharing across business systems, Salesforce clouds, and operational systems, facilitating data set analysis and future action planning. This brings actionable insights and drives actions, unleashing a new level of customer experience and business productivity.