Yes — you can start with Segment sources or event data streaming into Engage directly. Over time, integrating a data warehouse (e.g. Snowflake, BigQuery) allows richer context, relational data joins, and more powerful audience definitions.

Engage uses identity resolution to unify customer profiles by matching identifiers (e.g. email, user ID, device ID). It enables stitching together behavior from different systems so audiences and journeys behave consistently across channels.

Yes — Engage provides APIs (e.g. Audiences API) to query which profiles belong in a given audience or to update audience rules. You can build integrations, automate segment syncs, or check membership via code. (See Engage FAQs in Segment docs.)

Engage offers data observability tools to detect pipeline sync issues, track failures, and alert you when data is stale or didn’t sync. This helps maintain trust and reliability in the audiences you build.

Yes — Engage supports multi-channel campaigns. You can combine email, SMS, and WhatsApp messages in a single journey, applying logic and branching to choose which channel to use based on user behavior or preferences.

Engage supports linked audiences (or entity modeling) so you can bring in relational tables (e.g. line items, orders) from your warehouse into audience logic. That way you can build segments like “users who ordered X product in last 14 days” with full context.

In Engage:

• Events are actions users take (e.g. “added_to_cart,” “logged_in”), with timestamps and properties.
• Traits are persistent attributes of a user (e.g. “lifetime_value,” “signup_date”).

Traits persist and can be used for segmentation, while events provide behavioral signals.

Yes — Engage supports data governance and privacy controls such as PII suppression, consent tracking, region-level data residency (in supported regions), and access control over who can see or export sensitive data.