As Martech Consolidates Into Closed Systems, Bloomreach Doubles Down on Openness With Zero-Copy Activation for Any Data Warehouse or CDP

Bloomreach, the AI company for personalized customer engagement, announced the availability of its external segments feature, bringing zero-copy activation to brands building an open, composable customer engagement stack on any data platform. The feature brings audiences built in any data warehouse, CDP, or reverse ETL tool into Bloomreach as ready-to-use segments, so marketers can act on the data team’s best thinking right away, without any rebuilding. Loomi, Bloomreach’s AI for customer engagement, then turns those audiences into the right decision for every customer interaction — activated across more than 17 channels — while sending engagement and outcome signals back to the brand’s own platform.

“Brands have spent years building their customer intelligence in their own data platform, and they shouldn’t have to move it because their marketing vendor is getting absorbed into a closed system,” said Raj De Datta, CEO and co-founder, Bloomreach. “Bloomreach is open by design, built for a composable world. With zero-copy activation, the audiences and models that data teams have already built can be put to work without moving any data. From there, our AI, Loomi, gets to work, delivering intelligence at the edge of every customer interaction.”

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The external segments feature brings audiences from any data warehouse, CDP, or reverse ETL tool into Bloomreach as ready-to-use segments. There is no audience logic to rebuild and no attribute pipeline required to be built in order to enable activation. Any system that can call the open API can push audiences. Native Bloomreach segmentation is untouched, so teams can keep building natively and activate external audiences side by side. Whether a brand’s intelligence lives in its data warehouse, in Bloomreach, or both, Loomi turns it into the right decision for every customer interaction.

Built for an Open, Composable Stack

The external segments feature joins capabilities, all available today, that let brands plug Bloomreach into the stack they already run:

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• Native warehouse connectors: Brands bring in only the data a use case needs, as often as needed, and choose whether Bloomreach keeps that data or lets it expire. Bloomreach connects with the data platforms brands already run, such as Databricks, Snowflake, Google BigQuery, and Amazon Redshift.
• Decisions in the moment: Loomi’s real-time learning and optimizing AI models use techniques such as reinforcement learning to optimize each offer, recommendation, and message. Delivery runs across more than 17 channels, with consent, frequency, and deliverability built in.
• Closing the learning loop: Engagement and outcome data flows back to the brand’s own data platform: who responded, on which channel, at what time, and to which offer. Data teams can measure real impact and train their own models on real results, under the brand’s own governance.
• Loomi Connect: Any agent or AI assistant a brand uses (such as Databricks Genie, Claude, Codex, MS CoPilot, or Cursor) can call on Loomi over MCP, A2A, or API to make the decision and deliver it. More than 200 agents have already been built on Loomi Connect.