Activation and Activation Targets in Data Cloud
Activation and Activation Targets in Data Cloud February 12, 2026 Posted by: bst team Category: Blog , Salesforce Data Cloud...
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Salesforce CRM Integration with Data Cloud
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How to Connect a Custom Object from Salesforce CRM Org to Data Cloud Org
Streamlining data access between Salesforce CRM and Data Cloud is a game-changer for data-driven decision-making in any organization. By integrating these platforms and connecting custom objects, you can effectively centralize customer data, enhance insights, and unlock the full potential of your Salesforce ecosystem.
This step-by-step guide will walk Salesforce Administrators, Data Analysts, CRM Users, and Developers through the process of linking Salesforce CRM (or Developer Org) to Data Cloud and connecting a custom object to Data Cloud. Whether you’re just starting or need to revisit the setup, we’ve got you covered.
Why Connect Salesforce CRM with Data Cloud?
Integrating Salesforce CRM with Data Cloud allows organizations to gain deeper, actionable insights into their customer data by connecting disparate systems and centralizing information. This connection supports better decision-making, improves reporting, and enhances customer experiences.
Using this integration, you’ll also be able to seamlessly connect custom objects, allowing unique business processes and data to be reflected in your Salesforce Data Cloud.
What You'll Need
- Access to Salesforce CRM or a Developer Org
- Access to your Salesforce Data Cloud Org
- Customer data (we’ll provide a demo dataset below)
Now, let’s get started!
Tasks for Salesforce CRM / Developer Org
Step 1: Download Customer Data and Structure It
To get started, we’ll use a customer dataset as a base for creating your custom object in Salesforce CRM.
1.a) Download Customer Data
Click on the following link to download the customer data from Kaggle This dataset provides a valuable and structured set of sample customer data for your project.
1.b) Structure the Data
After downloading, structure the data using Excel or a similar tool:
- Open the dataset in Excel.
- Select the first column.
- Go to the Data tab and click Text to Columns. Follow the prompts to properly format and structure the data.
Step 2: Load the Customer Data into Salesforce CRM
Once your dataset is structured, it’s time to import it into Salesforce CRM by creating a custom object.
C) Activation Targets
- Log into your Salesforce Developer Org or Production Org.
- Navigate to Setup and search for Object Manager in the search bar.
2 A : Access Object Manager
B) Dashboards
Creating a new dashboard in Salesforce Data Cloud mirrors the process in Salesforce core, requiring you to name the dashboard and choose a storage folder. It’s crucial to note that using reports and dashboards in Data Cloud can affect billing consumption credits due to data storage and processing. Additionally, there’s a separate Reports tab available for further reporting needs.
Required Permission Set: Data Cloud Admin or Marketing Admin
C) Reports
You can create reports on one or more Data Model Objects (DMOs), allowing you to group, filter, and summarize records. Reports can be built from scratch or using available out-of-the-box templates. However, there are limitations: each report can display up to two thousand rows and supports a maximum of five row-level formulas. Custom report types on Calculated Insights (CIs) are not yet possible. Additionally, reports provide totals and subtotals for all included data, not just the visible records.
Required Permission Set: Data Cloud Admin or Marketing Admin
D) Data Action and Data Action Targets
Data Action facilitates the execution of specific actions based on insights generated from data analyses. By defining Data Action Targets, businesses can automate responses to particular triggers, streamlining workflows and enhancing efficiency. This capability ensures that insights are not only informative but also actionable.
Required Permission Set: Data Cloud Admin, Marketing Admin, Marketing Data Aware Specialist, or Data Cloud Home Org Integration User
E) Einstein Studio
Einstein Studio in Salesforce empowers businesses to create and use AI models, offering both Predictive AI and Generative AI capabilities through its Model Builder. Users can build predictive models or connect external machine learning models from platforms like Amazon SageMaker and Google Vertex AI, integrating them with Data Cloud for operational use. Generative AI features include creating prompt templates and adding foundation models, with the ability to connect to large language models (LLMs) such as Azure OpenAI, OpenAI, Google Cloud Vertex AI, and Amazon Bedrock.
Required Permission Set: Data Cloud Admin, Marketing Admin, or Marketing Data Aware Specialist
4) Identity
In the world of data, establishing a unified identity is crucial for personalized experiences and accurate analyses. This capability focuses on merging disparate data points to create a single view of each customer
A) Identity Resolutions
The identity resolution process in Salesforce matches and reconciles individual data to create unified profiles, utilizing rulesets for linking multiple data sources. Summary statistics for each ruleset are accessible in the Identity Resolutions tab. Before enabling identity resolutions, it’s necessary to complete data services mappings to the required Data Model Object (DMO) fields.
Required Permission Set: Data Cloud Admin, Marketing Admin, or Marketing Data Aware Specialist
B) Profile Explorer
All users can access Unified Individual and Account profiles via the Profile Explorer menu tab, which allows searches by name, email, phone, or ID. For effective use, DMOs for Individuals and Accounts must be mapped to data streams. The Profile Explorer dashboard provides a comprehensive view of unified customers, including behavioral and historical data. Data Cloud Admins can customize this view by adding or removing components like Profile Insights, Engagements, and Related Records using Salesforce Lightning App Builder.
Required Permission Set: Data Cloud Admin, Marketing Admin, Marketing Data Aware Specialist, or Data Cloud User.
5) Segmentation and Activation
The final core capability of Salesforce Data Cloud focuses on segmentation and activation, enabling businesses to target specific audiences with precision and impact.
A) Segments
Segments allow users to group customers based on shared characteristics or behaviors. By creating segments, businesses can tailor their marketing strategies to specific audience needs. This capability enhances the relevance and effectiveness of campaigns, driving higher engagement and conversion rates.
Required Permission Set: Marketing Admin, Marketing Manager, Marketing Data Aware Specialist, or Marketing Specialist.
B) Activation
Access to Salesforce Activations requires additional licensing, so if the menu option is unavailable, contact your Salesforce account executive. The activation process in Salesforce Data Cloud involves materializing and publishing a segment to an activation target, which necessitates information about the segment, the activation target, and the activation membership.
Required Permission Set: Marketing Admin, Marketing Manager, or Marketing Data Aware Specialist
C) Activation Targets
Access to Salesforce Activation Targets requires additional licensing, and you may need to contact your Salesforce account executive if the option isn’t visible. Activation targets are locations where segment data is sent during activation, containing necessary authentication and authorization details. They allow data export in CSV or JSON formats to public clouds and are used in Adtech and Martech platforms like Google, LiveRamp, and Meta. Activation targets are supported by sharing rules, offering the flexibility to publish segments either manually or on a schedule.
Required Permission Set: Marketing Admin, Marketing Manager, or Marketing Data Aware Specialist
Conclusion
Salesforce Data Cloud stands as a testament to the power of data in driving business success. With its comprehensive core capabilities and user-friendly menu options, it empowers data specialists, Salesforce admins, Salesforce developers, and data analysts to harness the full potential of their data. From data ingestion and storage to actions and insights, each capability plays a vital role in transforming raw data into actionable intelligence.
By understanding the nuances of Salesforce Data Cloud, businesses can unlock new opportunities for growth and innovation. Whether you’re a seasoned data expert or just beginning your journey, Salesforce Data Cloud offers a platform where insights come to life, decisions are driven by data, and success is within reach.
If you’re ready to explore the world of Salesforce Data Cloud and elevate your data-driven strategies, reach out to our community of experts and fellow enthusiasts. Together, we can shape the future of data-driven business, one insight at a time.
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Summary Of this Article
2) Assign Permissions
✅ Assign the “View All” permission for the custom object fields in Permission Sets to ensure smooth access.
3) Create and Deploy a Data Stream
💾 Configure a new Data Stream in Data Cloud.
🛠 Add the custom object (e.g., Customer Data) and map fields like Profile to Category.
📤 Deploy the data stream to sync your CRM data fully.
Benefits of Integration
🎯 Empower your Salesforce ecosystem with unified data.
🔍 Analyze customer data efficiently for more informed decisions.
👫 Support personalized customer interactions and cross-team collaboration.
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