Build a shared reporting view
Export contacts, activities and transactions alongside reservations and stays, with identifiers pseudonymised if you choose.
Automation and data
Warehouse export + Purple Engage
Put marketing data in your own reporting stack.
What connects with Engage
Contacts, activities, transactions, reservations and stays flow out hourly, every six hours or daily to your own BigQuery, Snowflake or Amazon S3.
Explore customer data in EngagePut the connection to work
Two ways to use Warehouse export with your Engage marketing.
Choose your destination
Send exports hourly, every six hours or daily to BigQuery, Snowflake or Amazon S3. The Purple team sets up the connection.
From connection to campaign
Start with one useful workflow. Check the data and the consent it carries, then approve what your AI team prepares.
Connect your account
Choose the data source, destination and permissions for your connection. Your technical team can use the API, events or file workflow described above.
Check the data and permissions
Review a sample record and confirm the relevant marketing permissions before adding people to campaigns.
Approve the first campaign
Let your AI team prepare the work and, by default, approve each action before it reaches a guest.
Questions
What connects between Warehouse export and Engage?
Contacts, activities, transactions, reservations and stays flow out hourly, every six hours or daily to your own BigQuery, Snowflake or Amazon S3.
Do I need Purple WiFi?
No. Engage works with customer data from your existing tools. WiFi is an optional source of guest and visit data.
Who controls the campaigns?
By default, you approve each action and campaign before it reaches a guest or spends money, and the AI can never launch or fund an ad. External assistants connected through MCP can read, draft and ask for approval, never send.
Put this connection on one guest record
Bring your tools into one marketing platform and approve what your AI team stages.