A/B Testing

Quick Definition

A/B Testing involves comparing two versions of an email or webpage to determine which one performs better. It helps optimize elements such as subject lines, content, or design to improve overall effectiveness.

A/B Testing involves comparing two versions of an email or webpage to determine which one performs better. It helps optimize elements such as subject lines, content, or design to improve overall effectiveness.

In A/B Testing, two variations (A and B) of an email or landing page are created, with each version having a different element to test, such as a subject line or call-to-action. These variations are then sent to different segments of your audience. By analyzing metrics such as open rates, click-through rates, and conversions, you can identify which version is more effective. This data-driven approach allows marketers to make informed decisions and continuously improve their email campaigns or web content.

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