Zeotap Documentation
The composable Customer Data Platform. Connect your warehouse, model customer data, build audiences, and activate across 50+ destinations.
Get Started
Data Pipeline Quickstart
Connect a warehouse, create a model, and sync data in 15 minutes.
Audience Quickstart
Build your first audience and activate it to a destination.
Events Quickstart
Set up event collection, transformation, and forwarding.
Core Concepts
Understand the building blocks of Zeotap.
Platform Reference
Sources
- Warehouses — Connect Snowflake, BigQuery, or Databricks
- Models — Define SQL models to shape customer data
- Relationships — Map entity types and relationships across your data
- Computed Attributes — Compute customer metrics from raw data
- Loaders — Pull data from SaaS tools into your warehouse
Identity
- ID Graphs — Unify customer profiles across data sources
Activation
- Audiences — Build segments with a visual query builder or SQL
- Orchestrations — Orchestrate multi-step, multi-channel workflows
- Templates — Reusable audience templates
- A/B Tests — Divide audiences for A/B testing
- Priorities — Manage audience overlap and priority
Destinations
- Connections — 50+ integrations across CRM, advertising, marketing, and more
- Syncs — Schedule audience pushes to destinations
Streams
- Overview — Event collection and monitoring
- Event Sources — Define event schemas and identifiers
- Contracts — Enforce event quality with schema contracts
- Forwarding — Route events to downstream systems in real time
- Transformations — Reshape events before delivery
- Reverse ETL — Move model data to destinations on a schedule
Analytics
- Insights — Monitor sync health, audience trends, and activation coverage
Governance
- Consent Policies — Manage user consent and compliance
- Access Policies — Restrict data visibility by team or role
- Destination Policies — Control which data reaches each destination
- AI Policies — Guardrails for AI-powered features
Developers
- API Reference — REST API documentation with endpoints, schemas, and examples
- Zeotap Agent — Natural language audience building, AI agents, and MCP server
- Architecture — System design, deployment topology, and ADRs
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