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Customer Data Models for B2B Marketing in Data Cloud

The data model you build in Data Cloud determines what you can segment, personalise, and attribute. Here is how to design it correctly for B2B marketing from the start.

PPardive TeamMarch 20, 20269 min read

The data model in Salesforce Data Cloud is the foundation that every segmentation decision, personalisation rule, and attribution calculation is built on. If the model is designed poorly — missing objects, incorrect field mappings, wrong relationship types — the consequences show up everywhere: segment counts that do not match reality, personalisation tokens that show blank values, attribution that misses pipeline.

This guide covers how to design a B2B marketing data model in Data Cloud correctly, including the standard objects to configure, the custom objects worth adding, and the mistakes that are expensive to undo.

The Standard B2B Data Model

Data Cloud ships with a standard data model — the Salesforce Data Cloud Data Model Objects (DMOs) — that is pre-aligned with Salesforce CRM's object structure. For most B2B marketing organisations on Salesforce CRM, the standard model provides the core foundation.

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