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Duplicating Tests
Duplicating a test allows you to create a copy of an existing experiment and use it as the starting point for a new one.
This can save time when you want to run a similar experiment without rebuilding the test from scratch.
When to Duplicate a Test
Duplicating can be useful when you want to:
- Run a follow-up experiment based on a previous test.
- Test another variation of the same idea.
- Reuse an experiment’s configuration.
- Create a similar experiment for different content.
- Use an existing test as the starting point for a new hypothesis.
The duplicated experiment becomes a separate test that you can edit without changing the original.
Duplicate an Individual Test
You can duplicate an experiment directly from the Test Library.
To duplicate a test:
- Navigate to Bluvia A/B Testing ā Test Library.
- Find the experiment you want to copy.
- Select Duplicate beneath the experiment title.
- Open the duplicated test.
- Review and edit the new experiment before launching it.
You can also duplicate a test from its individual test progress page by selecting Duplicate Test from the available actions.
Duplicate Multiple Tests
Bluvia A/B Testing also allows you to duplicate multiple experiments at once using Bulk Actions.
To duplicate multiple tests:
- Navigate to Bluvia A/B Testing ā Test Library.
- Select the checkbox beside each experiment you want to duplicate.
- Open the Bulk actions menu.
- Select Duplicate.
- Select Apply.
Bluvia A/B Testing will create copies of the selected experiments.
Review the Duplicated Test
A duplicated experiment should be reviewed before it’s launched.
Depending on what you plan to test next, you may need to update:
- Test name
- Content being tested
- Variants
- Conversion Goal
- Targeting Rules
- Experiment Settings
- Notes & Hypothesis
Preview the experiment after making your changes to confirm everything works as expected.
Duplicating vs. Editing
Duplicate an experiment when you want to create a new test based on an existing one.
Edit an experiment when you want to change the existing test itself.
This distinction is particularly important for experiments that have already collected data. Creating a duplicate allows you to build on a previous experiment while keeping the original test and its results intact.
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