American Marketing Association Professional Certified Marketer (PCM) Content Marketing Practice Exam

Disable ads (and more) with a membership for a one time $2.99 payment

Prepare for the American Marketing Association PCM Content Marketing Exam with our engaging quiz. Use flashcards and multiple-choice questions, complete with helpful hints and explanations. Excel in your exam preparation!

Practice this question and more.


In order to run a split-test of headlines you want to select from, you can send an e-mail with the headline in the subject line and determine which headline gets the most opens. To do this you _____.

  1. split your e-mail list into twice as many segments as you have headlines

  2. send all the headlines you have to your e-mail list

  3. split your e-mail list into as many segments as you have headlines

  4. split your e-mail list into two segments regardless of the number of headlines

The correct answer is: split your e-mail list into as many segments as you have headlines

To effectively run a split-test of headlines through email marketing, it is essential to split your email list into as many segments as there are different headlines you want to test. This approach allows you to send a unique headline to each segment, ensuring that each group of recipients receives only one version of the email. By doing this, you can accurately measure which headline leads to the most opens, as each segment will provide data on a specific headline's performance without the influence of other headlines in the same email campaign. This method gives clear insights into which headline resonates best with your audience. Selecting the same number of segments as headlines maximizes the effectiveness of the test and facilitates reliable analysis of the results. Each headline's performance will be detached from the others, making the data collected more meaningful for decision-making. This strategy offers a clear comparison of the effectiveness of each headline, allowing marketers to optimize future communications based on empirical evidence.