Skip to main content
How Can We Help?
Experiment History
Your previous experiments provide a record of what you’ve tested and what you’ve learned about your visitors.
Bluvia A/B Testing keeps completed and archived experiments accessible through the Test Library so you can revisit previous tests, review their results, and use those learnings when planning future experiments.
Finding Previous Experiments
Previous experiments can be found from the Test Library.
Use the available filters to find experiments based on their current status.
For example:
- Completed ā View experiments that have finished running.
- Archived ā View experiments you’ve archived for future reference.
You can also use the Search tests field to find a specific experiment.
Reviewing a Previous Experiment
Open a previous experiment to review the information that was collected during the test.
Depending on the experiment, you may want to revisit:
- The Control and Variants
- The Conversion Goal
- Experiment results
- The winning Variant, if one was selected
- Notes and hypothesis
- Experiment configuration
Reviewing this information provides context about what was tested and what happened.
Use Experiment History to Plan Future Tests
Before creating a new experiment, it can be helpful to review what you’ve already tested.
Previous experiments can help you answer questions such as:
- Have we tested this idea before?
- What happened when we made a similar change?
- Which types of changes have performed well?
- Which hypotheses weren’t supported by the results?
- Is there an opportunity to build on a previous experiment?
This can help you avoid repeating tests unnecessarily and create stronger hypotheses based on what you’ve already learned.
Build on Previous Experiments
A previous experiment can also become the starting point for a new test.
For example, if a Variant performed well, you might create a follow-up experiment that tests another version of the same idea.
If an experiment was inconclusive, you may decide to test a larger change, use a different Conversion Goal, or refine your original hypothesis.
When you want to reuse an existing setup, you can Duplicate the previous experiment and modify the copy for your next test.
Preserve Useful Experiments
Avoid deleting experiments simply because they’re no longer active.
Completed and archived tests can become a valuable knowledge base as your experimentation program grows.
Use Archive when you want to keep an experiment for reference without keeping it in your primary workflow. Use Delete when you’re confident you no longer need the experiment or its history.
Over time, your experiment history can help you make better-informed decisions about what to optimize next.
Related Articles
Continue with:
