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

To test website speed under load

Answer

To analyze backlink profiles

Answer

To measure email open rates

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

The test ran for at least 30 days

Answer

The sample size exceeded 10,000 visitors

Answer

Both variants received equal traffic

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

Bounce rate

Answer

Pages per session

Answer

Average session duration

Question 4

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

Accepted Answer

The original, unchanged version of the page

Answer

The new variation being tested

Answer

The analytics tool used

Answer

The segment of returning visitors

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

To reduce server load

Answer

To comply with GDPR regulations

Answer

To ensure the test runs faster

Question 6

What is 'test pollution' in A/B testing?

Accepted Answer

When external factors skew test results, making them unreliable

Answer

When too many ads are shown to test participants

Answer

When the test page loads slowly

Answer

When variants share the same URL