How does Data Cloud work in Salesforce?
Data Cloud (formerly Salesforce CDP, then Customer Data Platform) ingests, harmonizes, and unifies data from Salesforce CRM, marketing platforms, commerce systems, data warehouses, streaming sources, and third-party applications into a unified customer profile. It uses identity resolution to match records across systems, linking a website visitor, email subscriber, support case, and CRM contact into a single identity graph. Data Cloud operates on a lakehouse architecture that stores data in its own compute environment, separate from the Salesforce transactional database.
Once data is unified, teams can build segments (dynamic audiences based on any combination of attributes and behaviors), activate those segments to marketing channels, advertising platforms, or Salesforce Flows, and power AI models including Einstein predictions and Agentforce agent grounding. Data Cloud also enables calculated insights (metrics computed across the data model), data actions (triggered automations based on real-time events), and zero-copy connections to Snowflake, Databricks, and BigQuery. Clientell AI can help configure Data Cloud connectors, map data streams to unified profiles, and build segments that drive downstream automation.