The personalization the industry sold you isn't what the agentic era needs
Modernize personalization at scale
Most enterprise personalization operations are stuck in the 2019 model, relying on disconnected tools, manual segmentation and delayed analytics, turning every campaign into a coordination nightmare
Evolve real-time engagement
The legacy approach is fundamentally flawed for real-time engagement: data warehouses only offer stale and batched historical context, standalone CDPs fail to resolve real-time identity, and generic AI tools, lacking immediate customer context, become a hallucination machine
Move beyond basic segments
Brands must move beyond segments and A/B tests to build a personalization operation where AI agents are empowered with a real, current memory of every customer the moment they engage
Three products.
One real-time context plane.


Built for every team that owns the customer relationship
For the marketing team
Data Cloud lets you build real-time customer profiles, instantly swap content variants and carry context across every channel the customer touches. This adaptive approach eliminates weeks of manual rules, segment setup and debugging, allowing your team to operate at the true speed of the customer.
For the CMO and digital leaders
This real-time, server-side personalization finally delivers on the industry's promise by grounding AI agents in consented first-party data and facts, not guesses. The platform simplifies TCO and improves conversion while protecting Core Webitals, consolidating the work of multiple previous tools into one.
For the CDO, data architect and engineering lead
Lytics, a composable CDP, streams real-time behavioral data and combines it with historical warehouse depth (Snowflake, BigQuery or Databricks) to provide AI agents with hot context. It offers native integration with Content Cloud and Agent OS workflows, alongside APIs and server-side execution that maintains Core Web Vitals.



