What is Reverse ETL?
Reverse ETL is the process of copying customer data out of a data warehouse and into the operational tools marketers use, such as email, advertising and CRM systems.
Why does Reverse ETL matter for marketers?
It lets a company keep its customer data in the warehouse it already governs and still use it in campaigns, which is the basis of the "composable" approach to customer data platforms.
Where does Reverse ETL stand today?
Specialist vendors such as Hightouch and Census sell it, and larger platforms have added similar features: Twilio Segment lists data activation using warehouse data. In 2026 Databricks and Zeotap launched lakehouse-based CDPs built on the same idea of keeping data in place.
Common use cases
- Sending warehouse audiences to ad platforms
- Syncing customer attributes to CRM and email tools
- Powering lifecycle messages from governed data
Traditional ETL extracts data from operational tools into a warehouse. Reverse ETL inverts that flow, extracting from the warehouse into the tools where work happens. Descriptions from industry glossaries say the warehouse acts as the single source of truth for unified customer profiles, and reverse ETL syncs segments, attributes and computed metrics to downstream tools on a schedule, usually hourly or daily and sometimes near real time.
Where it fits
In the composable CDP model, the warehouse (for example Snowflake, BigQuery or Databricks) is the foundation and specialist tools add identity resolution, segmentation and activation; reverse ETL is the main way data reaches other systems.