Landing Page Design Landing Page A/B Testing 3

Question 1

What is the 'novelty effect' in landing page A/B testing?

Accepted Answer

A temporary spike in performance for a changed variant that fades as visitors grow accustomed to it

Answer

The novelty effect causes returning visitors to engage more with a changed page simply because it looks different, artificially inflating early test results.

Question 2

What is an 'AA test' used for in landing page optimization?

Accepted Answer

Verifying that your testing tool is not introducing measurement bias or errors

Answer

An AA test sends equal traffic to two identical page versions; a significant result difference signals a flaw in the testing tool or tracking setup.

Question 3

What does segment analysis reveal in an A/B test?

Accepted Answer

How different visitor sub-groups respond differently to each page variant

Answer

Segment analysis breaks down test results by visitor characteristics such as device type, traffic source, or location to reveal differential effects across audience groups.

Question 4

What is the biggest risk of stopping an A/B test too early?

Accepted Answer

You risk declaring a false winner caused by random early variation

Answer

Stopping a test prematurely often captures a 'peeking' effect where random variance appears as a decisive winner, leading to incorrect implementation decisions.

Question 5

What does 'traffic allocation' refer to in a landing page A/B test?

Accepted Answer

The percentage of total site visitors who are included in the experiment

Answer

Traffic allocation determines what proportion of visitors participate in the test and how that traffic is divided between the control and variant.

Landing Page Design Practice Test

Landing Page Design Practice Test

Landing Page Design Landing Page A/B Testing 3