Integrate Data Cloud and Marketing Cloud Engagement
Learning Objectives
After completing this unit, you’ll be able to:
- Understand how integrated data works across Data Cloud and Marketing Cloud Engagement.
- Locate your integrated data extensions.
- Use proper consent practices for your Data Cloud audiences.
Marketing Plan Case Study
Northern Trail Outfitters (NTO) is an outdoor brand that offers signature outerwear, men’s and women’s clothing, gear, and accessories. Isabelle Givens, a digital marketing manager at NTO, wants to create and send a personalized journey to established customers based on purchases they’ve already made and loyalty status. She’s working with her marketing team to reach this goal.
As of February 14, 2023, Customer Data Platform is now called Salesforce Data Cloud for Marketing. During this transition, you may see references to Customer Data Platform, along with names: Customer Data Cloud, Einstein 1 Audiences, and Salesforce CDP. We wish we could magically update the name everywhere, but you can expect to see the previous name in a few places as we evolve.
Isabelle wants to reach her customers in a more specific way. Instead of sending as many messages as she can, she wants to efficiently get the right message to the right users! To accomplish that, she’s built and activated segments in Data Cloud to target individuals who are most likely to act on her campaign. She can use these segments in Marketing Cloud Engagement and Journey Builder to build stronger and more personalized connections with her customers.
Data Cloud is optimized for messaging using Journey Builder. Audiences can also include enriched unified individual records and new records, but we cover that in a later unit.
Isabelle probably already knows where to find her audiences in Journey Builder. When building a journey on the canvas, she can select the audience in the Data Extension Entry Source in Journey Builder.
But since Isabelle wants a more personalized experience using her new Data Cloud segment, she selects her audience from the Data Cloud Segments folder in the Shared Data Extensions folder in Marketing Cloud Engagement.
Know Your Data
Journey data preserves the state of a contact’s data at the moment an entry event fires, facilitating the use of that data throughout a journey. Contact data captures the data values in the event source data extension at the time when Journey Builder evaluates it. Both are uniquely useful in journey creation.
| Journey Data | Contact Data |
|---|---|
|
Initial data value about a customer. |
Current data value about a customer. |
|
Provides attributes in the state they were in when the contact entered the journey. |
Provides attributes in the state they are in when evaluation occurs after the entry event has fired. |
|
Comprised of event data and activity data. |
Use when you want the most updated information in a longer journey. |
|
Use when a contact is likely to exist in a journey more than once simultaneously. |
|
|
Use for comparison when a data value is expected to change. |
Know Your Data Segments
In standard segment activation, you can schedule batch or incremental refreshes to your audiences. For existing segments, Data Cloud performs a full overwrite of the activated data extension and replaces all rows in the data extension.
Contacts who have fallen out of the segment since the previous segment refresh don’t re-enter the journey. Previously active members of the segment aren’t automatically ejected from the journey. They will continue through the journey until they are explicitly removed by a process you’ve defined such as exit criteria, for example.
In rapid publish activation, though rare, Data Cloud can trigger a full overwrite refresh even if you’ve selected an entry process of evaluate new records only. This option updates incrementally. Depending on your journey’s entry settings, this could result in a contact being inadvertently entered into the journey again, potentially resulting in “duplicate” messaging. To prevent this, select the Entry Setting No re-entry.
Consent Is Important
Isabelle wants to make sure that all of her customers are being contacted (or not contacted!) the way they’d like. These best practices make the journey much smoother for her and her customers.
- We recommend managing consent as you’ve always done in Marketing Cloud Engagement. For example, filtering consent criteria for entry source configurations, decision splits, or publication lists.
- If the activity appears later in the journey, we recommend using a Decision Split instead of filtering consent criteria for entry source configuration.
- To configure an email activity to use a Data Cloud audience and exclude contacts who’ve opted out, assign a publication or suppression list in Marketing Cloud Engagement for more consent management options.
Now that you have the basics of Data Cloud and Marketing Cloud Engagement down, learn how to do even more with marketing contacts in the next unit.
