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What is Hightouch?
Hightouch for marketers
How data activation works

Marketing

- Overview
- Set up
  Plan your data model
  Define your schema
  General models
- Build
  Audiences
  AI Agent
  Traits
- Predict
  Predictive traits
  Catalog recommendations
  Lookalike audiences
- Sync
  Sync audiences
- Campaigns
  Plan your campaign workflow
  Journeys
  Priority lists
  Coupon assignment
- Measure
  Insights
  Experiments
  Sampling
  Audience dashboards
- Save and reuse
  Snapshots
  Templates
- Govern
  Destination rules
  Subsets
  OneTrust Native Snowflake App
  Data masking
  Configure Schema Git Sync
- Overview
- Set up AI Decisioning
  Workspace configuration
  Prepare data for AID
- Connect destinations
  Braze
  Iterable
  Salesforce Marketing Cloud
- Build agents and messages
  Create an agent
  Messages
- Test and launch
  QA guide
- Monitor agents
  Insights
  Inspector
  Health
  Alerting
- Optimize agents
  Tags
  Collections
  Content analysis and suggestions
- Overview
- Define metrics
  Metrics
- Build charts
  Charts overview
  Insights
  Funnels
  Experiments
- Create custom dashboards
  Dashboards

Data platform

- Overview
- Data types and casting
- Choose a modeling method
  SQL editor
  Table selector
  dbt models and analyses
  Looker Looks
  Sigma workbooks
  Resolve SQL compilation errors
- Overview
- Plan your implementation
- Migrate to Hightouch Events
  Overview
  1. Prepare for migration
  2. Implement Hightouch Events SDKs
  3. Validate your migration
  4. Unify historical and new data
  5. Update downstream applications and destinations
- Collect events
  Overview
  Browser (JavaScript)
  Node.js
  Ruby
  Go
  PHP
  Java
  Python
  iOS
  Android
  React Native
  Flutter
  C# (.NET)
  HTTP API
  Webhook
  Kafka
  Confluent
  Redpanda
  Google Pub/Sub
  First-party tracking
- Data contracts
  Managing contracts
  Handling violations
  Managing via Git Sync
- Transform events with functions
  Functions overview
  Create a function
  Handling webhooks
- Send events to your warehouse
  Configure warehouse destination
  Error handling
- Stream events to destinations
  Event streaming
- Manage consent
  Consent Manager
  OneTrust
- Monitor and troubleshoot
  Monitor events
  Troubleshoot events
- Reference
  Event types and payload structure
  Warehouse schema
- Overview
- Quick start
- Set up Match Booster
  Configure on a model
  Enable in syncs
- How Match Booster works
  Offerings
  Matching methods
  Targeting levels
- Common questions

Integrations

- Add a connection
- Set up alerting
  Alerting overview
  PagerDuty
  Datadog
- Connect modeling tools
  dbt models and analyses
  dbt Cloud models
  Looker Looks
  Sigma workbooks
- Schedule syncs with orchestrators
  dbt Cloud
  Fivetran
  Airflow
  Dagster
  Prefect
  Mage
- Manage version control
  Git version control
  dbt observability layer
- MCP overview
- Snowflake CoWork

Manage

- Overview
- Governance best practices
- Set up workspaces
- Manage access
  Manage users and groups
  Roles
  SSO and SCIM
- Manage changes
  Approval flows
  Environments
  Audit logs
- Organize resources
  Folders and labels
- Overview
- Storage
- Regions
- Networking
  IP addresses
  SSH tunneling
- Amazon Web Services
  Overview
  AWS PrivateLink
- Google Cloud
  Overview
  Private Service Connect
  Workload Identity Federation
- Microsoft Azure
  Overview
  Private Link

Resources

- Self-serve pricing
- Business tier pricing
- APIs
  API overview
  API reference
  Personalization API
- CLI
  CLI overview
  CLI reference
- AI tools
  Docs for AI tools
- Reference
  Error codes
  Warehouse tables
Changelog

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Postscript

Under construction

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