Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Adobe Exam AD0-E559 Topic 4 Question 28 Discussion

Actual exam question for Adobe's AD0-E559 exam
Question #: 28
Topic #: 4
[All AD0-E559 Questions]

A marketer conducted an A/B test and expected the new version to perform better than the original version. However, this did not occur.

What conclusion can the marketer make about these A/B test results?

Show Suggested Answer Hide Answer

Contribute your Thoughts:

Brendan
12 days ago
I bet the marketer is wishing they had a crystal ball to predict the test results. Alas, life is full of surprises, even in the world of marketing.
upvoted 0 times
...
Loreen
13 days ago
Ah, the old 'test again' trick. Classic move, but let's not ignore the real issue here - the original plan didn't work as expected.
upvoted 0 times
...
Emelda
29 days ago
Maybe the test period wasn't long enough to capture the full impact. Could be worth extending it and seeing if the results change.
upvoted 0 times
Bobbie
7 days ago
C) The test period was too short and they need to let it run for a longer time.
upvoted 0 times
...
Lashaunda
15 days ago
A) Their test hypothesis was invalidated and they should test again.
upvoted 0 times
...
...
Judy
1 months ago
Throwing out the results? That's like blaming the messenger for the bad news. Own up to it and learn from this experience.
upvoted 0 times
Wai
6 days ago
A) Their test hypothesis was invalidated and they should test again.
upvoted 0 times
...
Roselle
7 days ago
Throwing out the results won't solve anything. Learn from the experience and try again.
upvoted 0 times
...
Willard
11 days ago
B) The test was erroneous and the results should be thrown out.
upvoted 0 times
...
Lindsey
18 days ago
A) Their test hypothesis was invalidated and they should test again.
upvoted 0 times
...
...
Sylvia
1 months ago
I agree, they should let it run longer before drawing conclusions.
upvoted 0 times
...
Olen
1 months ago
Or maybe they didn't give it enough time to run.
upvoted 0 times
...
Aliza
1 months ago
Yeah, their hypothesis was probably wrong.
upvoted 0 times
...
Tasia
2 months ago
The test hypothesis was clearly off the mark. Time to go back to the drawing board and try a different approach.
upvoted 0 times
Tamekia
16 days ago
A) Their test hypothesis was invalidated and they should test again.
upvoted 0 times
...
Bette
28 days ago
B) The test was erroneous and the results should be thrown out.
upvoted 0 times
...
Dusti
29 days ago
A) Their test hypothesis was invalidated and they should test again.
upvoted 0 times
...
...
Harley
2 months ago
I think the marketer should test again.
upvoted 0 times
...

Save Cancel