Marketing Cloud Engagement
by Salesforce
Marketing Cloud Engagement, Salesforce's B2C platform, runs email and mobile sends from Journey Builder and stores audiences in data extensions. Its APIs return send jobs, tracking events for opens, clicks, bounces and unsubscribes, subscriber status and journey definitions. With those events in the Lake beside orders, loyalty and service records, journeys can be judged on purchases rather than opens.
- Category
- Marketing Automation
- Type
- Marketing automation
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0
02Data
What you can sync.
- Sends
- Tracking events
- Data extensions
- Journeys
- Subscribers
- Campaigns
Tie Marketing Cloud Engagement sends to pipeline and revenue in the Warehouse, and let a Mind report which programs move deals.
Need more? Name any other Marketing Cloud Engagement data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
Marketing Cloud Engagement uses OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Salesforce if you need help.
04Questions
Questions you can answer.
Once Marketing Cloud Engagement data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- Which journeys produce the most purchases per thousand entries, excluding control groups?
- How do bounce and unsubscribe rates trend per sending domain and business unit?
- Which data extensions hold subscribers who have not been mailed in a year?
- Do loyalty members respond differently to the same journey than non-members?
- How many customers with open service cases received promotional email that week?
05How it works
How it works in DataMind.
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Pick Marketing Cloud Engagement.
Open Lake, pick Marketing Cloud Engagement in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Marketing Cloud Engagement API docs.
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Answer a few questions.
The AI reads the Marketing Cloud Engagement documentation, then asks which credentials you will use, which data to sync (for example sends and tracking events), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Marketing Cloud Engagement data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Marketing Cloud Engagement.
Sources teams join with Marketing Cloud Engagement in the Warehouse, each one connected the same way.