You’re applying email analytics to your email marketing strategy and have just reviewed your goals and created a hypothesis. What step comes next?

Test and measure

Analyze the data

Collect relevant data

Segment your audience


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Explanation: You’re applying email analytics to your email marketing strategy and have just reviewed your goals and created a hypothesis. What step comes next?


Explanation: After reviewing your goals and creating a hypothesis in your email marketing strategy, the next step is to **collect relevant data**. Data collection is essential for informed decision-making and effective strategy implementation. This involves gathering various types of data related to your email campaigns, such as open rates, click-through rates, conversion rates, and engagement metrics. By collecting relevant data, you can gain insights into how your email campaigns are performing, identify trends or patterns in recipient behavior, and assess the effectiveness of your strategies in achieving your goals. This data serves as the foundation for testing hypotheses, analyzing performance, and making data-driven adjustments to optimize future campaigns. Therefore, collecting relevant data is a crucial step in the email analytics process, enabling you to make informed decisions and continuously improve the effectiveness of your email marketing efforts.
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