What is a Composable CDP?

A CDP architecture that uses your cloud warehouse as the foundation, leaving data in place rather than copying it to a separate platform.

How is this different from Segment or mParticle?

• Traditional CDPs ingest data into their platform. Composable CDPs leave data in your warehouse and push compute to where data lives.

Which warehouses are supported?

Snowflake, Google BigQuery, and Databricks.

Can we migrate from our existing CDP?

Yes. Most teams run iCustomer alongside their current CDP during transition, then phase out the legacy system.

Do we need data engineering support?

Minimal. iCustomer works with existing tables and dbt models, no new pipelines required.

Is identity resolution included?

Yes. AI-powered deterministic and probabilistic matching, with configurable rules.

How is this priced vs. legacy CDPs?

Warehouse-native means no data storage fees. You pay for activation, not data volume.

Composable CDP

Your Warehouse Is Your CDP. Finally.

Forget fragmented playbooks and tool bloat. Agentic ABM unifies signals, enriches buyer and account profiles, and lets AI agents coordinate next-best actions across channels—then learns every cycle through a closed-loop OODA process.

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Illustration labeled “AGENTIC ABM” with a launch-ready rocket and channel/CRM icons—depicting AI agents planning and executing next-best actions in a closed-loop OODA cycle for account engagement and faster wins.

From Legacy CDP To Warehouse-Native

Decision Intelligence For Composable CDP

iCustomer turns your warehouse into a modern CDP. AI agents resolve identities, enrich profiles, and activate audiences, while your data team keeps full governance. Replace legacy CDP cost and complexity with warehouse-native speed.

Unify Without Extracting

Connect to your existing warehouse tables. No ETL pipelines to build, no storage duplication, no vendor lock-in. Your data stays in your infrastructure.

AI funnel turning messy cross-channel data into organized buyer/account profiles with consent, dedupe, and enrichment for Agentic ABM targeting.

Control panel and bots coordinating sales/marketing workflows—AI agents triggering plays, routing handoffs, and meeting SLAs across channels.

Resolve Identities With AI

AI agents match deterministic IDs (email, phone, customer ID) and probabilistic signals (device, behavior) to build unified profiles. Duplicates merged. Gaps enriched.

Activate Everywhere, Govern Everything

Sync audiences to Google, Meta, LinkedIn, Salesforce, HubSpot, Braze, and more. Consent, suppression, and refresh logic enforced at the warehouse, audit trails included.

Dashboard with bots monitoring KPIs—always-on decision intelligence observing signals, selecting next-best actions, and optimizing the loop continuously.

iCustomer Composable CDP FAQs

Answers for teams adopting an AI-first, signal-driven ABM approach.

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iCustomer Blog Posts

See how Decision Intelligence, dynamic ICPs, and a true decisioning engine help GTM teams move from channel-first to outcomes-first ABM and compounding growth in 2025.