segment-manager

You can manage the full segment lifecycle by performing list, get, create, update, delete, validate, and size operations against a user data store. This coordinates accurate audience definitions and consistent segment operations across accounts and tables.

To validate segment filters and estimate audience size before deployment, you run validation and sizing operations against your user data store. This minimizes deployment errors by applying strict payload validation and guardrails to FilterQL definitions.

Automating segment creation and sizing for marketing tests involves using API interactions to define segments and request size estimates. This lets data teams quickly spin up audience segments and confirm their scale beforehand.

Yes, you can perform CRUD operations on segments across multiple accounts and tables. The system handles API interactions with strict payload validation and error handling to ensure safe, consistent segment management across your user data store.

Segment management includes built-in guardrails for safe API interactions, strict payload validation, and error handling. These guardrails ensure consistent operations and prevent invalid filter definitions from impacting your user data store.

You need to validate FilterQL definitions for audience segmentation whenever you create or update segments. Validating filters before deployment minimizes targeting errors and ensures your segment definitions are structurally accurate before sizing.