CDPs emerged as a solution to the identity and data fragmentation that afflicts most enterprise marketing stacks. They connect to an organization's data sources, including web analytics, CRM, email platform, point of sale, mobile app, and ad platforms, and unify the data into profiles indexed to individual customers using identity resolution to link records across systems.
Unlike CRMs, which focus on sales relationship management, CDPs are built for marketing use cases and are designed to ingest high-volume behavioral data at scale. Unlike data warehouses, CDPs are designed for real-time activation, making profile data available to personalization engines, email platforms, ad networks, and other downstream systems with low latency.
For privacy compliance, CDPs are both an asset and a risk surface. A CDP that accurately represents customer consent and preferences can enforce those preferences across downstream activations. But CDPs aggregate personal data at scale; a CDP that ingests opted-out individuals' data, or that shares profiles with ad platforms before checking consent signals, amplifies compliance failures rather than solving them.