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Attribution & Analytics

Hightouch

Freemium

Hightouch is a Composable CDP and reverse-ETL platform that syncs modeled data straight from your warehouse into the tools teams act on. Instead of copying data into a separate customer data platform, it reads tables in Snowflake, BigQuery, or Databricks and pushes audiences, traits, and conversion events to ad platforms, CRMs, email, and analytics destinations. Marketing and data teams use it to build segments on governed warehouse data and activate them for targeting, suppression, and offline conversion uploads without engineering tickets for every sync.

Analyticsreverse ETLcomposable CDPdata activationaudience syncwarehouse

What it does

Hightouch turns the data warehouse into the source of truth for marketing activation. It connects to warehouses like Snowflake, BigQuery, Databricks, and Redshift, lets teams define audiences and traits with SQL or a visual builder, and then syncs those records to more than a hundred destinations: ad platforms for matched audiences and suppression, CRMs and email tools for lifecycle messaging, and analytics or conversion APIs for offline event uploads. Because it reads governed warehouse tables rather than duplicating data, definitions stay consistent across teams and there is no separate customer data store to maintain. Marketers get self-serve segmentation while engineers keep control of the underlying models, which shortens the path from analysis to live campaign targeting.

Where it fits

Hightouch sits between the warehouse and execution tools, activating modeled first-party data into the ad, CRM, and analytics destinations where campaigns actually run.

Core features

  • Reverse-ETL syncs from Snowflake, BigQuery, Databricks, and Redshift
  • SQL and visual audience builder on governed warehouse data
  • 100+ destinations including ad platforms, CRMs, and email
  • Conversion-event and offline-data uploads via platform APIs
  • Identity resolution and suppression-list management
  • Sync observability, change tracking, and alerting

Best for

  • Data teams activating warehouse audiences without custom pipelines
  • Marketers building matched and suppression audiences for ad platforms
  • Teams unifying conversion uploads from a single source of truth

Beginner notes

  1. Get clean, well-modeled warehouse tables in place first; reverse ETL amplifies whatever data quality you start with.
  2. Begin with one high-value sync, such as a suppression audience, to prove the workflow before wiring up many destinations.
  3. Watch destination match rates and API limits, since each ad platform handles identifiers and audience sizes differently.
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Concepts behind this tool

Reverse ETL

The practice of syncing modeled data out of the warehouse and into the operational tools where marketing, sales, and support teams actually act on it.

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