Understanding the Challenge

Teams running Journey Builder or Automation Studio in Salesforce Marketing Cloud often encounter difficulties when trying to automate segments created from synchronized data extensions. The primary issue arises because these synchronized data extensions are not designed to be directly used for filter definitions that need frequent updates or automation.

Root Cause

The root cause of this challenge lies in the nature of synchronized data extensions, which are primarily meant for synchronizing data between different systems rather than serving as a foundation for dynamic segmentation and automation within Marketing Cloud.

Recommended Approach

Moving the necessary data from synchronized data extensions to a custom master data extension (either local or shared) is a safer and more manageable approach. This method allows for easier refactoring and maintenance of data flows, reducing the risk of disruptions caused by disconnections or data inconsistencies.

Implementing the Solution

To implement this solution, teams should first identify the specific data required for segmentation and then create a custom data extension to house this data. Automation scripts can be used to periodically update this custom data extension from the synchronized data extensions, ensuring that the data used for segmentation is always up-to-date and reliable.

Example Automation Script

/* Example script to update custom data extension from synchronized DE */
var dataExtension = DataExtension.Init("CustomMasterDataExtension");
var syncDE = DataExtension.Init("SynchronizedDataExtension");
// Fetch data from synchronized DE and update custom DE
var data = syncDE.Rows.Retrieve();
dataExtension.Rows.Add(data);

Best Practices and Considerations

When moving data to a custom master data extension, it is essential to consider data consistency, update frequencies, and potential impacts on existing automations or journeys.

Heads up: Always test changes in a sandbox environment before deploying them to production to avoid unintended consequences.

Checklist for Implementation

Preparation and Implementation Steps

• Identify the necessary data for segmentation.
• Create a custom master data extension.
• Develop an automation script to update the custom data extension.
• Test the automation in a sandbox environment.
• Deploy the automation to production.
• Monitor data consistency and automation performance.

Frequently Asked Questions

What are the benefits of using a custom master data extension?

Using a custom master data extension provides better control over data, easier maintenance, and safer automation compared to working directly with synchronized data extensions.

Can I automate segments created from synchronized data extensions directly?

While technically possible, it is not recommended due to the potential for data inconsistencies and automation failures.

How often should I update my custom master data extension?

The update frequency depends on the nature of your data and business requirements. It could range from real-time updates to scheduled batches, depending on what works best for your use case.

What if my synchronized data extension is very large?

For very large synchronized data extensions, consider optimizing your data retrieval and update processes to improve performance and reduce potential errors.