Salesforce CDP

A leading enterprise CDP and real-time data lakehouse, deeply embedded within the Salesforce ecosystem and positioned as the data foundation for AI-driven customer engagement via Agentforce.

Salesforce CDP, originally launched as Customer 360 Audiences before being rebranded to Salesforce CDP, was Salesforce's dedicated customer data platform designed to unify customer profiles by ingesting, harmonizing, and activating data from across marketing, sales, service, and commerce touchpoints. Now rebranded first to Salesforce Genie in 2022 and subsequently to Salesforce Data Cloud in 2023, the product has significantly expanded beyond its original CDP scope into a real-time data lakehouse that serves as the foundational data layer for the entire Salesforce platform. Salesforce Data Cloud, the current evolution of Salesforce CDP, enables enterprises to ingest massive volumes of first-party data in real time, resolve customer identities, build unified customer profiles, and activate insights across every Salesforce cloud and third-party application. The platform leverages a proprietary metadata framework and harmonized data model to connect data from disparate sources without requiring complex ETL pipelines, making it uniquely integrated within the Salesforce ecosystem. Its expansion into a data lakehouse architecture allows it to store, process, and analyze structured and unstructured data at scale, powering Salesforce's AI layer, Einstein, and the agentic AI platform Agentforce. As a product of Salesforce — one of the world's largest enterprise software companies — Salesforce Data Cloud benefits from deep native integrations across Marketing Cloud, Sales Cloud, Service Cloud, Commerce Cloud, and beyond. This positions it as a formidable competitor to standalone CDPs such as Adobe Real-Time CDP, Segment, and mParticle, particularly for enterprises already invested in the Salesforce ecosystem. Its evolution reflects the broader industry trend of CDPs expanding into more comprehensive data infrastructure roles, blending real-time data activation with AI and analytics capabilities.