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Archiving Tests
Archiving allows you to move experiments out of your primary Test Library view while keeping them available for future reference.
It’s a useful way to keep your Test Library organized as you accumulate completed and older experiments without permanently removing their history.
When to Archive a Test
Consider archiving an experiment when:
- You’re finished actively working with the test.
- You want to clean up your Test Library.
- You want to preserve the experiment and its results for future reference.
- The experiment is no longer part of your current optimization workflow.
Archiving is generally a better option than deleting an experiment when you may want to reference it again.
How to Archive a Test
You can archive an eligible experiment from the Test Library.
To archive a test:
- Navigate to Bluvia A/B Testing ā Test Library.
- Find the experiment you want to archive.
- Select Archive beneath the experiment title.
- The experiment will be moved to your archived tests.
You can also access available experiment management actions from the individual test progress page.
Finding Archived Tests
Archived experiments remain available in your Test Library.
To view them:
- Navigate to Bluvia A/B Testing ā Test Library.
- Select the Archived filter.
- Find the experiment you want to review.
This allows you to keep older experiments accessible without having them mixed into your current testing workflow.
Archiving vs. Deleting
Archiving and deleting serve different purposes.
Archive a test when you want to remove it from your active workflow but preserve the experiment for future reference.
Delete a test when you no longer need the experiment and want to remove it.
When you’re unsure whether you’ll need an experiment again, archiving is the better option.
For more information about removing experiments, see Deleting Tests.
Keep Your Experiment History
Completed experiments can provide useful context long after a test has ended.
Keeping older experiments archived can help you:
- Review what you’ve tested previously.
- Revisit past results.
- Avoid repeating experiments unnecessarily.
- Reference previous hypotheses and learnings.
- Inform future optimization decisions.
As your testing program grows, archiving helps keep your active workspace manageable without losing the knowledge you’ve built through experimentation.
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