A/B Test

To determine the best email sending time

To identify which email version achieves better performance on specific metrics (correct)

To increase the number of emails sent

To decrease the overall marketing budget

As many as possible to see comprehensive results

Only one to accurately measure its impact (correct)

At least three to make the test worthwhile

None, testing should observe existing variations only

That all recipients have opted in to receive emails

That the sample size is large enough to be statistically significant (correct)

That the email content is entirely different between versions

That the test runs for no more than one day for quick results

<p>False</p> Signup and view all the answers

<p>True</p> Signup and view all the answers

<p>A winner in an A/B test is determined by comparing the performance metrics (such as open rate, click-through rate, conversion rate) of both versions against the test's predefined goals. The version that significantly performs better on these metrics is considered the winner.</p> Signup and view all the answers

<p>Defining success metrics before running an A/B test is crucial because it sets clear objectives for what you're trying to improve or learn from the test. It guides the analysis and decision-making process post-test, ensuring that you're measuring the impact of the variable tested against relevant outcomes.</p> Signup and view all the answers