Hightouch
The category-defining reverse ETL tool, now repositioning hard toward "agentic CDP" messaging — genuinely…
The category-defining reverse ETL tool, now repositioning hard toward "agentic CDP" messaging — genuinely useful for teams with clean warehouse data, but it assumes a level of data maturity that many small businesses don't have yet.Reviewed
What it does
Hightouch lets data teams define customer audiences and metrics using SQL, dbt, or Python models directly against their data warehouse, then syncs those models on a schedule to 250+ downstream destinations — ad platforms, CRMs, Slack, email tools — without duplicating the data into a separate CDP. This "composable CDP" approach treats the warehouse as the single source of truth rather than a black-box customer database. It's used by data-mature companies, usually with an existing Snowflake, BigQuery, or Databricks warehouse and a dbt setup, who want to activate first-party data for ad targeting and personalization without licensing a traditional CDP like Segment.
Who this helps
Data teams with an existing modeled warehouse who want to sync audiences directly to ad platforms and CRMs
Growth and RevOps teams building custom lead-scoring or lifecycle segments in SQL and pushing them to Salesforce or HubSpot
Companies trying to avoid duplicating customer data across a warehouse and a separate CDP
Teams already using dbt who want reverse ETL that fits their existing modeling workflow
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