Experimentation

Experiments provide customer insights that help you make better decisions. Create experiments with Salesforce Personalization in Marketing Cloud Next to learn which personalized and agentic experiences resonate best with your customers.

• Experiment Considerations
  When creating and running an experiment, keep these considerations in mind.
• Create an Experiment
  Create and run experiments to determine which recommender or personalized content performs best for a defined personalization point. Selecting metrics for the experiment to measure, and creating targeting rules for selecting eligible participants, you can test recommender effectiveness against control and variant cohorts that you define.
• Manage an Experiment
  When you configure and save a personalization experiment and save it, its status is Created. You can start, stop, archive, edit or delete an experiment at any time from the personalization point Related tab.
• Experimentation Example: Recommender Comparison
  Experimentation supports various test scenarios. These scenarios can include testing personalized dynamic content, recommender-based content, or agent-based experiences. This experiment tests a rule-based recommender against an objective-based recommender to determine which option performs better.
• Experiment Analytics
  Experiment analytics summarize and visualize the measures you selected when you configured your experiment in Salesforce Personalization. Review participant totals, primary metric results, and performance charts to see whether the experiment has a clear winner.