Conversion Optimization A/B Testing and Experimentation

Question 1

What is the primary purpose of A/B testing in conversion optimization?

Accepted Answer

To compare two versions of a page to determine which performs better

Answer

A/B testing compares two page variants with real traffic to identify which version drives higher conversions.

Question 2

What does 'statistical significance' mean in the context of an A/B test?

Accepted Answer

The test results are unlikely to be due to random chance

Answer

Statistical significance indicates the observed difference between variants is real and not a result of random variation.

Question 3

Which metric is most directly used to measure the success of an A/B test aimed at increasing purchases?

Accepted Answer

Conversion rate

Answer

Conversion rate measures the percentage of visitors who complete the desired action, making it the core success metric for purchase-focused tests.

Question 4

What is a 'control' in an A/B test?

Accepted Answer

The original, unchanged version of the page

Answer

The control is the baseline version against which the new variation (challenger) is measured.

Question 5

Why should you test only one element at a time in a standard A/B test?

Accepted Answer

To isolate which specific change caused the difference in results

Answer

Testing one element at a time ensures that any performance difference can be attributed to that single change, not a combination of factors.

Conversion Optimization Practice Test