Split Testing

Quick Definition

Split Testing, also known as A/B Testing, involves comparing two or more variations of an email or campaign element to determine which version performs better. This method helps optimize email marketing strategies by analyzing the impact of different changes.

In Split Testing, different versions of an email are sent to separate segments of the audience to assess their performance based on specific metrics such as open rates, click-through rates, or conversions. Each version may vary in elements like subject lines, content, or design.

By evaluating the results, marketers can make data-driven decisions to improve future campaigns. Split Testing allows for continuous optimization and refinement of email strategies, ultimately enhancing engagement and effectiveness.

Ready to implement split testing?

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