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Copy file name to clipboardExpand all lines: src/engage/journeys/event-triggered-journeys-steps.md
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@@ -173,34 +173,34 @@ You can use a Data split to branch profiles based on traits or audience membersh
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This setup helps tailor journey experiences using reliable, preexisting data. Because the Data split step evaluates conditions instantly, it works best with traits or audience membership that Segment has already computed before the profile enters the step.
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## Randomized Split
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## Randomized Split (V2)
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The **Randomized Split** step lets you experiment with and test the performance of different journey paths. You can add up to five branches, assign each one a percentage, and Segment will randomly send users down one of the branches based on the configured distribution.
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This step is useful for A/B testing, holdout groups, and comparing different channels or messaging strategies within a single journey.
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For example, you might create a randomized split that sends 40% of users to an email campaign, 40% to an SMS campaign, and 20% to a control group. Once users move through the split, you can evaluate which approach performed best.
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### How randomized split works
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### How Randomized Split works
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When a profile reaches the Randomized Split step:
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1. Segment randomly assigns the profile to one of the branches based on the defined percentages.
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2. The profile immediately moves down the assigned path.
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3. By default, if a user re-enters the journey later, they’re assigned a new random branch. You can optionally choose to keep them in the same branch each time they re-enter.
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Each journey instance (epoch) is evaluated independently. This means a user could be assigned to different branches across multiple entries, unless you enable consistent assignment.
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Segment evaluates each journey instance independently. This means a user could be assigned to different branches across multiple entries, unless you enable consistent assignment.
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### Configuration options
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You can configure a Randomized Split step with the following options:
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