Build a shared reporting view
Export contacts, activity and transactions alongside bookings and stays.
Automation and data
Put marketing data in your own reporting stack.
Contacts, activity, transactions, bookings and stays flow out on a schedule to your own BigQuery, Snowflake or Amazon S3.
Explore customer data in EngageTwo ways to use Warehouse export with your Engage marketing.
Export contacts, activity and transactions alongside bookings and stays.
Send scheduled exports to BigQuery, Snowflake or Amazon S3.
Start with one useful workflow. Check the data, then decide how much control to give your agent.
Choose the data source, destination and permissions for your connection. Your technical team can use the API, events or file workflow described above.
Review a sample record and confirm the relevant marketing permissions before adding people to campaigns.
Let your agent prepare the work. Approve each action, or enable autopilot within the limits you set.
Contacts, activity, transactions, bookings and stays flow out on a schedule to your own BigQuery, Snowflake or Amazon S3.
No. Engage works with customer data from your existing tools. WiFi is an optional source of guest and visit data.
You choose. Approve each action and campaign, or let your Engage agent run agreed workflows on autopilot within your limits. External assistants connected through MCP have read and draft access.
Bring your tools into one marketing platform. Set the goal and choose your level of control.