Data 360

Calculated vs Streaming Insights in Salesforce Data 360 (Data Cloud): the key differences, when to use each, and examples for admins and developers.

Learn how Activation and Activation Targets work in Salesforce Data Cloud (Data 360) and how to send your segments to marketing, ads and other platforms.

Understand segmentation in Salesforce Data Cloud (Data 360): the types of segments, how to build them, and best practices to target the right customers.

How streaming and real-time insights work in Salesforce Data Cloud (Data 360), with use cases for acting on customer data the moment it arrives.

A practical guide to Calculated Insights in Salesforce Data Cloud (Data 360): how to build metrics such as customer lifetime value, with tips and examples.

Learn how identity resolution in Salesforce Data Cloud (Data 360) uses match and reconciliation rules to build unified customer profiles.

What Streaming Data Transforms are in Salesforce Data Cloud (Data 360), how they clean and reshape data in near real time, and how to set one up.

Understand Data Spaces in Salesforce Data Cloud (Data 360): how they separate data by brand, region or business unit, and how to set them up.

How to use customer data ethically in Salesforce Data Cloud (Data 360): consent, trust and responsible cross-channel messaging best practices.

Learn how Data Transforms work in Salesforce Data Cloud (Data 360) and how they clean, join and reshape data coming from many different sources.