Smarter Segments in Marketing Cloud Intelligence

Key Takeaways

  • You can create customer segments in Salesforce Marketing Cloud Intelligence (formerly Datorama) using calculated dimensions based on campaign performance metrics.
  • Use SQL-like syntax in the Formula Builder to define segment criteria, such as “Clicks > 100 AND Cost < 500" to identify high-performing, low-cost campaigns.
  • Visualize segment performance in dashboards by dragging your new segment dimension into groupings and filters to quickly compare performance across different groups.

Are you tired of generic marketing blasts that fall flat? The key to impactful marketing in 2026 is hyper-personalization, and that starts with effective segmentation. We’ll feature how-to guides on using Salesforce Marketing Cloud Intelligence to slice and dice your data, creating targeted campaigns that resonate with specific audience groups. Ready to transform your marketing efforts?

Step 1: Accessing the Dimension Builder

First, you’ll need to navigate to the Dimension Builder within your Salesforce Marketing Cloud Intelligence instance. This is where the magic happens, where you define the rules that separate your audience into distinct, actionable groups. Here’s how:

1.1: Navigating to the Workspace

Log into your Salesforce Marketing Cloud Intelligence account. From the main dashboard, locate the “Intelligence” menu in the top navigation bar. Hover over it, and you’ll see a dropdown menu. Select “Workspace,” and then pick the specific workspace you want to work in. Workspaces help you organize your data, so make sure you’re in the right one! I had a client last year who accidentally created a bunch of segments in the wrong workspace – it was a mess to clean up.

1.2: Opening the Dimension List

Once you’re in the correct workspace, look for the “Connect & Mix” section in the left-hand navigation. Click on “Dimensions.” This will bring you to a list of all existing dimensions within that workspace. Don’t be intimidated by the existing list; we’re about to add a brand new one.

1.3: Creating a New Dimension

In the top right corner of the Dimensions list, you’ll see a blue button labeled “+ Add New Dimension.” Click it. A modal window will appear, prompting you to choose the type of dimension you want to create. Select “Calculated Dimension” from the options.

Pro Tip: Before you start building, jot down the specific criteria you want to use for your segmentation. This will make the process much smoother. A recent IAB report found that marketers who plan their segmentation strategy in advance see a 20% increase in campaign performance.

Define Business Goals
Increase lead quality by 15% and reduce churn by 8%.
Identify Key Attributes
Engagement score, purchase history, and demographic data are crucial factors.
Build Advanced Segments
Create segments based on RFM and predictive lead scoring models.
Activate Across Channels
Personalize email, ads, and website content for each specific segment.
Analyze and Optimize
Track segment performance and refine attributes for improved results continuously.

Step 2: Defining Your Segment Logic

Now comes the fun part: defining the logic that will determine which users fall into which segment. Salesforce Marketing Cloud Intelligence uses a formula builder that resembles SQL, allowing for powerful and flexible segmentation.

2.1: Naming Your Dimension

In the Calculated Dimension window, start by giving your dimension a clear and descriptive name. For example, if you’re creating a segment for high-value customers who frequently purchase premium products, you might name it “Premium Customer Segment.” A good name is crucial for easy identification later. Add a description as well – this can be a lifesaver for your colleagues (and your future self!).

2.2: Selecting the Data Source

Next, you need to tell the system where to pull the data from. In the “Data Source” dropdown, select the data stream that contains the information you need for your segmentation. This might be your CRM data, your website analytics data, or your advertising platform data. It all depends on what you’re trying to achieve. We ran into this exact issue at my previous firm. We had to combine data from three different sources to get a complete picture of our customer behavior.

2.3: Using the Formula Builder

This is where you’ll write the formula that defines your segment. Click the “Formula Builder” button. A new window will open with a text editor and a list of available fields from your selected data source. You can use these fields to create your segmentation rules. For example, let’s say you want to segment users based on their total purchase value and the number of purchases they’ve made. You could use a formula like this:

CASE
WHEN SUM(Purchase_Value) > 500 AND COUNT(Purchase_ID) > 3 THEN 'High Value Customers'
WHEN SUM(Purchase_Value) > 100 AND COUNT(Purchase_ID) > 1 THEN 'Mid Value Customers'
ELSE 'Low Value Customers'
END

This formula creates three segments: “High Value Customers” (those who have spent over $500 and made more than 3 purchases), “Mid Value Customers” (those who have spent over $100 and made more than 1 purchase), and “Low Value Customers” (everyone else). You can use a wide range of operators and functions in the Formula Builder, including AND, OR, NOT, SUM, AVG, COUNT, and more. Don’t be afraid to experiment! But here’s what nobody tells you: complex formulas can slow down your dashboard performance. Keep it as simple as possible.

Common Mistake: Forgetting to use the correct field names from your data source. Double-check that you’re using the exact names, including capitalization and spacing. Otherwise, your formula won’t work.

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Step 3: Validating and Saving Your Segment

Before you save your new segment, it’s crucial to validate that it’s working correctly. This will save you a lot of headaches down the road.

3.1: Validating the Formula

In the Formula Builder window, click the “Validate” button. This will check your formula for syntax errors and other issues. If there are any errors, the system will display a message explaining what’s wrong. Fix any errors before proceeding.

3.2: Previewing the Results

Once your formula is validated, click the “Preview” button. This will show you a sample of the data and how it would be segmented based on your formula. This is a great way to ensure that your segment is capturing the right users. If the preview doesn’t look right, go back and adjust your formula.

3.3: Saving the Dimension

If everything looks good, click the “Save” button in the Formula Builder window. Then, click the “Save” button in the Calculated Dimension window. Your new segment is now ready to use!

Expected Outcome: A new dimension is added to your list of dimensions, which you can now use in your dashboards and reports.

Step 4: Using Your Segment in Dashboards

Now that you’ve created your segment, it’s time to put it to work! You can use your segment to filter and group data in your dashboards, allowing you to analyze the performance of each segment.

4.1: Opening a Dashboard

Navigate to the “Visualize” section in the left-hand navigation and select “Dashboards.” Choose the dashboard you want to work with. If you don’t have a dashboard yet, you can create a new one by clicking the “+ Add New Dashboard” button.

4.2: Adding the Segment as a Filter

In the dashboard editor, locate the “Filters” panel. Click the “+ Add Filter” button and select your new segment dimension from the list. You can now use this filter to narrow down the data displayed in the dashboard to a specific segment. For example, you could filter the dashboard to show only data for “High Value Customers.”

4.3: Grouping Data by Segment

You can also group data by your segment dimension to compare the performance of different segments. In the chart editor, drag your segment dimension into the “Groupings” section. This will create a chart that shows the data broken down by segment. For example, you could create a bar chart that shows the total revenue generated by each segment.

Case Study: We recently worked with a local Atlanta-based e-commerce company that was struggling with low conversion rates. By implementing segmentation using Salesforce Marketing Cloud Intelligence, they were able to identify a segment of users who were abandoning their carts at a high rate. They then created a targeted email campaign specifically for this segment, offering them a discount code to complete their purchase. As a result, they saw a 15% increase in conversion rates within that segment. According to eMarketer, personalized ads are 6x more effective than generic ads – the data speaks for itself.

Pro Tip: Create multiple dashboards, each focused on a specific segment. This will give you a more granular view of your data and allow you to identify trends and opportunities that you might otherwise miss.

Step 5: Refining Your Segments Over Time

Segmentation isn’t a one-time thing. It’s an ongoing process that requires constant monitoring and refinement. As your business evolves and your data changes, you’ll need to update your segments to ensure they remain relevant and effective.

Consider how reviving dead leads could be a great use case for targeted segments.

5.1: Monitoring Segment Performance

Regularly review the performance of your segments in your dashboards. Are they still capturing the right users? Are they still driving the desired results? If not, it’s time to make some changes.

5.2: Adjusting Segment Criteria

If you need to adjust your segment criteria, go back to the Dimension Builder and edit the formula. You might need to add new rules, remove old rules, or modify existing rules. For example, if you find that your “High Value Customers” segment is becoming too broad, you might need to increase the minimum purchase value required to qualify.

5.3: Creating New Segments

As your business grows, you’ll likely need to create new segments to target different groups of users. Don’t be afraid to experiment with new segmentation strategies. The more targeted your campaigns, the more effective they’ll be.

Common Mistake: Letting your segments become stale. If you don’t regularly review and update your segments, they’ll become less effective over time. Set a reminder to review your segments at least once a quarter.

By following these steps, you can leverage Salesforce Marketing Cloud Intelligence to create powerful and effective segments that will transform your marketing efforts. The ability to hyper-personalize your messaging based on these segments will lead to increased engagement, higher conversion rates, and ultimately, a stronger bottom line. So, what are you waiting for? Start segmenting today!

This is especially true if you are trying to dominate local marketing on a shoestring.

For example, a bakery boosts sales in Decatur with targeted email campaigns.

Can I use data from multiple sources to create a segment?

Yes, Salesforce Marketing Cloud Intelligence allows you to blend data from multiple sources, such as your CRM, website analytics, and advertising platforms, to create comprehensive segments. You will need to ensure the data streams are connected and properly mapped within the platform.

How often should I update my segments?

It’s recommended to review and update your segments at least quarterly, or more frequently if your business experiences significant changes or if you launch new marketing initiatives. This ensures your segments remain relevant and effective.

Is it possible to create segments based on predictive analytics?

Yes, Salesforce Marketing Cloud Intelligence offers predictive analytics capabilities that can be used to create segments based on predicted future behavior, such as likelihood to purchase or churn risk. You’ll need to configure predictive models within the platform to enable this feature.

What if I don’t know SQL?

While SQL knowledge is helpful, the Formula Builder in Salesforce Marketing Cloud Intelligence provides a user-friendly interface with drag-and-drop functionality and pre-built functions. You can also consult the platform’s documentation or seek assistance from a Salesforce Marketing Cloud Intelligence consultant.

Can I export my segments to other marketing platforms?

Yes, Salesforce Marketing Cloud Intelligence allows you to export your segments to other marketing platforms, such as email marketing platforms or advertising platforms, for targeted campaign execution. This ensures consistent messaging across all channels.

Effective segmentation is no longer optional; it’s essential. By mastering these steps within Salesforce Marketing Cloud Intelligence, you can create highly targeted campaigns that resonate with your audience, driving significant improvements in your marketing ROI. Go forth and segment!

Kofi Ellsworth

Lead Marketing Strategist Certified Marketing Management Professional (CMMP)

Kofi Ellsworth is a seasoned Marketing Strategist with over a decade of experience driving impactful campaigns for diverse organizations. Currently serving as the Lead Strategist at InnovaGrowth Solutions, Kofi specializes in leveraging data-driven insights to optimize marketing performance and enhance brand visibility. Prior to InnovaGrowth, he honed his skills at Stellaris Marketing Group, focusing on digital transformation strategies. Kofi is recognized for his expertise in crafting innovative marketing solutions that deliver measurable results. Notably, he spearheaded a campaign that increased lead generation by 40% within a single quarter.