Unifies all customer data in real time across every touchpoint into a single profile, enabling AI-powered personalization, smarter audience activation, and seamless cross-channel engagement — all within the Salesforce platform.
Last updated May 12, 2026 by AI Enrichment
Leading enterprise CDP natively embedded in the Salesforce platform, serving as the data backbone for AI, marketing, and customer engagement across the Salesforce ecosystem
Salesforce Data Cloud (formerly known as Salesforce CDP and before that Customer 360 Audiences) is Salesforce's flagship customer data platform (CDP) built natively into the Salesforce platform. It enables enterprises to ingest, harmonize, and activate massive volumes of customer data from virtually any source — including CRM, marketing, commerce, service, and third-party systems — into a unified customer profile in real time. Data Cloud serves as the data foundation for Salesforce's entire product suite, powering Einstein AI, Marketing Cloud, Commerce Cloud, and more. In the AdTech and MarTech ecosystem, Salesforce Data Cloud occupies a critical position as an enterprise-grade CDP that bridges first-party data management with activation across paid media, owned channels, and CRM. It supports identity resolution, audience segmentation, real-time decisioning, and data sharing with major advertising platforms such as Google, Meta, Amazon Ads, and The Trade Desk. Its deep integration with Salesforce's broader CRM and automation tools gives it a significant advantage over standalone CDPs. Launched as a standalone product in 2022 after evolving through several iterations, Data Cloud has become central to Salesforce's AI strategy, serving as the data layer for Einstein Copilot and Agentforce. With Salesforce's massive enterprise customer base and global partner ecosystem, Data Cloud is positioned as one of the most widely adopted CDPs in the enterprise market, competing directly with Adobe Real-Time CDP, Microsoft Fabric, and Snowflake's data cloud offerings.
Real-time identity resolution and data harmonization that merges data from all sources into a single, continuously updated customer record
Pre-built and custom connectors to ingest data from Salesforce clouds, third-party apps, data warehouses, and streaming sources
Drag-and-drop segment builder for creating dynamic, real-time audiences based on behavioral, transactional, and demographic data
Activation of audiences and insights to advertising platforms (Google, Meta, Amazon), marketing channels, and Salesforce products
AI-powered predictive scoring, propensity models, and generative AI capabilities powered by Einstein and Agentforce
Zero-copy data sharing with Snowflake, Amazon Redshift, Google BigQuery, and Databricks without data duplication
Probabilistic and deterministic identity matching to unify anonymous and known customer profiles across devices and channels
Triggers and flows that activate personalized experiences in real time based on customer behavior signals