Last Updated on 1 month by School4Seo Team
Testing only one variable for each experiment is considered as a best practice when implementing an experience.
- Divide your audience into as many arms as possible.
- Start with multiple hypotheses.
- Assign two campaigns to each experiment arm.
- Test one variable for each experiment.
The correct answer is: Test one variable for each experiment.
Explanation: Testing only one variable for each experiment is considered a best practice when implementing an experiment.
This isolates the impact of the change, ensuring you know precisely what influenced the results. 1 Changing multiple variables simultaneously makes it impossible to determine which change caused the observed effect. By focusing on a single variable, you gain clear, actionable insights. This controlled approach allows for accurate analysis and helps you make informed decisions based on reliable data. This methodology is fundamental for scientific testing and data-driven optimization.
Decide on a clear hypothesis before creating an experiment, and only test one variable to help ensure your experiment is clean and yields discernible results.
A common mistake is that more than one variable is adjusted (e.g., you’re looking to test creative, but each experiment arm has a slightly different budget). Doing so makes the experiment “unclean,” as you’re unable to discern which change caused the impact.