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* Data Cloud for Marketing (fka CDP) *

Welcome! This group is dedicated to your success with Salesforce Marketing Cloud Data Cloud for Marketing. Join the conversation here to stay up to date on the product, learn best practices, and everything in between. Use this group to review resources, ask questions, help each other, and share experiences. --------------------------------------- This group is maintained and moderated by Salesforce employees. The content received in this group falls under the official Forward-Looking Statement: http://investor.salesforce.com/about-us/investor/forward-looking-statements/default.aspx
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Alyssa Jenson (Community Programs (Data 360) chez Salesforce) a publié du contenu dans Datablazer Community Group
6 oct., 20:29

Hi Datablazers! 

 

As part of the broader transition to the reimagined Trailblazer Community in Slack, the online Trailblazer Community website will move to read-only status on October 30, 2026.

 

What this means for this group:

This group will become read-only on October 30. Members will no longer be able to create new posts or reply to existing threads.

 

Some groups will not transition to the new Trailblazer Community in Slack. Existing content will remain available for reference as an archive. 

 

The broader Trailblazer Community will continue in Slack. When the new Trailblazer Community in Slack launches in November, members will be able to join the broader community and participate in new conversations there.

 

Please review the FAQ for more details about the transition and what to expect next.

 

Thank you for being part of this group and for everything you’ve contributed to the Trailblazer Community. Let me know if you have any questions!

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Nathan Unsworth (Solution Architect chez Toyota Motor Credit Corp)
24 mai 2023, 15:32
Generic Error when deleting a data stream

I have removed all of the mappings for a data stream and there are no activation targets or calculated insights associated to the data stream.  When I try to delete the stream, I get a generic message: "Data stream cannot be deleted."  I haven't been found anything in documentation and I'm not sure how to find or enable debugging logs for Data Cloud.

Generic Error when deleting a data stream

#datastream #Data Management

7 réponses
  1. Nathan Unsworth (Toyota Motor Credit Corp)
    7 juin 2023, 15:50

    Just got this response from Support:

     

     The Product and Engineering teams determined this issue is related to a known bug. The bug is caused by the deletion of the folder used for the data stream. When attempting to delete the folder the system will sometimes timeout which causes the error we are seeing.

     

     The team is working on a fix for this bug but they informed us that the timing out isn't consistent and depends on other resources being used. They suggested trying to delete the streams a few times throughout the day and seeing if it deletes.

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Aysan Habibzadeh
22 août, 22:19

Hi everyone, I'm Aysan, a data engineer attending my first Dreamforce this September. I come from the warehouse side, so I'm especially curious about the zero-copy story between Data Cloud and Snowflake and what it looks like in production. If you've run it for real, I'd genuinely like to hear what surprised you. I'll be at the Get Started with Data 360 session on the 15th.

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Argenis Perez (Digital Marketing Manager - CDP Manager chez Alcon)
27 août, 08:21
Weird Behavior with FIND function (No taking in consideration the first character)

Good Morning Team 

 

In Data 360 I am creating a Formula and using the TEXT function

Find

but the behavior is weird 

 

IF(FIND('+','+23'),true,false) 

Return FALSE 

 

IF(FIND('+','2+3'),true,false) OR IF(FIND('+','23+'),true,false) 

Return TRUE 

Weird Behavior with FIND function (No taking in consideration the first character)

 

 

Screenshot 2026-08-27 at 10.19.25 AM.png

 

Any help will be appreciated 

 

2 réponses
  1. Santosh Narayan (.)
    27 août, 08:57

    What is actually happening is, the first example returns 0 i.e. position of '+' in the string which is interpreted as false and the second example returns 1 i.e. position of text in the string which is interpreted as true. So, effectively :

    1. For first; IF(0, true, false) returns false because 0 is always treated as false
    2. For second; IF(1, true, false)  returns true because any non-zero value either positive or negative is treated as true.

    You may have to think of the formula a bit differently depending on what you intend to achieve.

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Annie Bray (direct marketing manager chez amart)
20 juil., 01:44
Meta CAPI from data 360

Has anyone had any success using the data 360 Meta CAPI integration?  There is documentation on the Linkedin CAPI integration which is very clear, but not as clear for Meta.  Would love to hear if any one has done it and if they followed SF docs or found a different way?

 

@* Data 360 * 

1 réponse
  1. Andrew Kieckhefer (Merit America)
    26 juil., 01:39
    In my experience, the data 360 Meta CAPI integration was an easy process that occurs with a build right into your integration target's framework and then a configured target collection. You may enjoy looking up article, “How to Activate Events to Meta via the Data 360 Conversions API Connector”. Would not recommend doing this integration, however, unless you're extremely confident in the Meta ecosystem. The docs related to the Meta CAPI you'll want to look at are actually about agentforce. I have the Meta event listener and agent ready, I just haven't chosen to use Meta that way yet in my process. Hope this is a helpful share.
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Mehmet Orun (Chief Strategy Officer chez PeerNova) a publié du contenu dans Datablazer Community Group
23 juin, 19:14

New Trailhead Badge: Customer Context and Profile Unification Fundamentals 

 

  • Does your customer struggle from duplicate or fragmanted records?
  • Are you seeking to understand or explain the difference between CRM duplicate management, Data 360 identity resolution, or MDM golden records?
  • Are you concerned about what may cause incorrect matches due to data quality challenges?

 

This new, community authored badge has gone live on June 15, 2026 to help guide your and your stakeholders' journey. 

 

Achieve a contextual understanding of your customer based on complete understanding of their interactions.  

 

Complete it, if you like it - promote it, if you have concerns, share your feedback here. 

 

cc:

@* Data 360 *, @* Data Cloud for Marketing (fka CDP) *, @Data Quality & Management, @Agentblazer Community Group

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Mehmet Orun (Chief Strategy Officer chez PeerNova) a publié du contenu dans Datablazer Community Group
23 juin, 19:26

New Trailhead Badge: Data Enrichment Fundamentals

  

How do you achieve

  • a true B2B 360 understanding, when accounts may be at different locations (e.g. Salesforce HQ in San Francisco, USA vs. Dublin, Ireland) or have subsidiaries (Tableau, Slack, Informatica...)?
  • know when a consumer has moved to another address, yet still know they are the same person?
  • broader understanding of your customer in joint campaigns with your GTM partners?

The answer: through targetted data enrichment. 

 

This new, community authored badge has gone live on June 15, 2026 to help guide your and your stakeholders' journey. 

 

Complete it, if you like it - promote it, if you have concerns, share your feedback here. 

 

cc:

@* Data 360 *, @* Data Cloud for Marketing (fka CDP) *, @Data Quality & Management, @Agentblazer Community Group

2 commentaires
  1. Mike Rogan (Wayfinder)
    25 juin, 18:50

    This is a great badge! I often see clients who jump into data enrichment without thinking it through. The importance of following these steps is crucial: 

     

    • Confirm the problem using stakeholder feedback and data profiling.
    • Evaluate enrichment providers based on business and technical requirements.
    • Compare profiling results from before and after enrichment to determine the enrichment solution’s value.
    • Determine how often data enrichment should occur.
    • Make enriched data accessible across systems and processes.
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Suhirdass S (Salesforce Developer chez Trumatics Software Labs LLC) a posé une question dans #Data Cloud
24 mai, 18:06
Data Transform Activation Issues

I created a Data Transform and Mapped to DLO, When I run Data Transform, It's taking too much time to active, that time Data Transform Status as "Processing", after a long time it's showing the Data Transform Status as "Error". I did not got any email and log also to check the issue. Can anyone help me to resolve the issue, the only i can move further. Please find the attachment of the image as well    @* Data Cloud for Marketing (fka CDP) * 

image (1).png
2 réponses
  1. Vishal Soni (MIDCAI CONSULTING)
    6 juin, 06:05

    @Suhirdass S

    This usually happens when the data transform is configured either to process too much data, or if there is some issue with any of the data streams/DLOs/DMOs used. You can check the following:  

    1. All the participating DLOs, DMOs etc are active and working (not in error state) 

    2. Check if there are any unsupported functions, incorrect field references, or source DLO/DMO fields that may have been renamed or deleted.  

     

    Also, is it possible to share the screenshot of the Data Transform itself (its components) to check if there are any joins or transformations making it complex. 

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GokulReddy Chiyyedu a posé une question dans #Data Cloud
28 mai, 14:43
Unable to see Datastreams, DLO, DMO.... options in Data Cloud main screen.

I have enabled Datacloud in my Dev org. But am not able to see Datastreams, DLO...... options in the Data Cloud main screen.  Profile: System Adminstrator  Permission Set: Data Cloud Architect    @* Data Cloud for Marketing (fka CDP) * 

2 réponses
  1. Allan Pheiffer (Scoutz)
    31 mai, 08:40
    @GokulReddy Chiyyedu I’ve seen this behaviour in different orgs I configured. I fixed it by updating the permission set with visibility to the objects or app in question.
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Mehmet Orun (Chief Strategy Officer chez PeerNova) a publié du contenu dans Datablazer Community Group
8 mai, 13:58

🚀 New SalesforceBen Article: Headless Data 360 — First Look at the New MCP Capabilities

 

Since Salesforce released Headless Data 360 earlier this week, there’s been a lot of discussion around MCP and what this means for the future of agentic and headless architectures.

 

I had the opportunity to get early hands-on access before release and wanted to share: 

 • What stood out to me architecturally 

 • Why this matters beyond the announcement itself 

 • Where I think organizations should be cautious and intentional 

 

Have you already started evaluating it?  What questions, hopes or worries do you have? 

 

cc:

@* Data 360 *, @* Data Cloud for Marketing (fka CDP) *

 

 

📖 Read here:

3 commentaires
  1. Elmer den Braven (Qredits)
    12 mai, 07:35

    Headless 360 is going to be such a gamechanger.

    AI agents are getting so powerful and integration with Salesforce is going to unlock a lot of value.

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