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.
* Data Cloud for Marketing (fka CDP) *
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Good Morning Team
In Data 360 I am creating a Formula and using the TEXT function
Findbut 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
Any help will be appreciated
27 ago, 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 :
- For first; IF(0, true, false) returns false because 0 is always treated as false
- 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.
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?
26 jul, 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.
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 GroupNew 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
25 jun, 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.
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) *
6 jun, 06:05 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.
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) *
31 may, 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.
🚀 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:
12 may, 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.
Dreamin' in Data - Next Data Mastery Onsite workshop details live
📍 Chicago | May 19–21
If you’re working on Data 360, Agentforce, or broader data architecture, this is a great opportunity to go deeper with
hands-on, practitioner-led workshops.
details are now live. Experience the latest iteration of our Data Mastery Onsite, or brush up on integration or agentic skills wtih day long workshops by practicioners for practicioners.
🔹
Data TrackFocus on data strategy, profiling, readiness, and building a trusted foundation for AI and analytics
🔹 Integration Track
Connecting systems, patterns for data movement, and designing scalable architectures
🔹 Agent Track
From use case → implementation, with a focus on data readiness, guardrails, and real-world agent design
cc:
@Data Quality & Management, @* Data Cloud for Marketing (fka CDP) *, @* Data 360 *, @AI for NonprofitsIn this POV ((https://partners.salesforce.com/0694V00000V0XAd) there is a general guidance slide for Dev and Production setup in which one Marketing Cloud Engagement instance is connected to both Dev/Sandbox and Production data cloud. We have create a Data Cloud sandbox and are planning to connect it to the Marketing Cloud Engagement (Test BU) for testing prior to connecting to Data Cloud prod instance.
Does anyone has experience connecting both Dev/Sandbox and Production Data CLoud instance to a single Marketing cloud instance. Can someone confirm if this is still valid and doable?
27 abr, 06:33 My understadning is not clear from the above supported link.
Please can you help in understanding
Is it possible to connect data cloud to SFMC child BU or to only Parent BU?
If yes to child then can we connect multiple data cloud org to single SFMC BU ?
In my understanding from the document link you shared Enterprise Id can be only one i.e. marketing cloud can have only one parent followed by child BUs.
Hence doc seems not clear to me.
Please can you assist.