AB Test Dilemma [closed]

1. What can go wrong with AB testing?
2. What is the limitation of A B testing?
3. How do you avoid bias in AB testing?

What can go wrong with AB testing?

One common mistake with A/B testing is running the split test too soon. For example, if you start a new OptinMonster campaign, you should wait a bit before starting a split test. At first, there's no point in creating a split test because you won't have data to create a baseline for comparison.

What is the limitation of A B testing?

Another limitation of A/B testing is that it requires the tester to extend the results indefinitely into the future. Traditional A/B tests assume an unchanging world view and don't take into account changes in trends and consumer behavior and the impact of seasonal events, for example.

How do you avoid bias in AB testing?

One way to easily avoid bias is by testing only one initiative in your treatment stores at a time. If you are testing changes, such as staff increases and pricing in the same treatment group, it's harder to determine what impact each initiative being tested has on sales.