Run Smart A/B Tests

本课程是 Email Execution: Automation, Testing & Audience Targeting 专项课程的一部分

位教师：Hurix Digital

访问权限由 New York State Department of Labor 提供

1个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

1 小时完成

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自行安排学习进度

1个模块

深入了解一个主题并学习基础知识。

初级等级

推荐体验

1 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Scientific Testing Mindset: Effective A/B testing uses clear hypotheses, single-variable tests, and decisions based on statistical significance.
Strategic Variable Selection: High-impact tests target subject lines, send timing, and content structure that directly affect engagement.
Continuous Optimization Framework: Systematic testing builds institutional knowledge and compounds email performance improvements over time.
Data-Driven Decisions: Reliable conclusions require statistical significance and adequate sample sizes to drive lasting business results.

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授课语言：英语（English）

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本课程是 Email Execution: Automation, Testing & Audience Targeting 专项课程专项课程的一部分

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Ready to turn guesswork into guaranteed results? This Short Course was created to help marketing professionals accomplish systematic email optimization through strategic testing.

By completing this course, you'll be able to design hypothesis-driven A/B tests, configure optimal test parameters, and analyze results to drive continuous performance improvements. You'll master the art of testing one variable at a time while building a data-driven testing program that delivers measurable business impact. By the end of this course, you will be able to: Plan and execute A/B tests assessing variables such as subject lines and send times for optimal results Analyze results to solidify best practices and adjust future strategies accordingly This course is unique because it combines strategic planning frameworks with hands-on implementation, teaching you both the "why" behind testing methodology and the practical skills to execute tests that generate actionable insights. To be successful in this course, you should have a background in basic email marketing concepts and familiarity with email campaign creation.

Learners will systematically plan, execute, and analyze A/B tests for email campaigns to make data-driven decisions that improve campaign performance.