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Metrics to Measure in Email A/B Testing

Best for: Email Marketing Manager, Data Analyst, Digital Marketing Specialist, UX Researcher, Marketing Analyst.

Email A/B testing is a powerful way to optimize your email marketing campaigns. By sending out two versions of an email to different segments of your audience, you can test which one performs better. This can help you improve your open rates, click-through rates, and conversion rates. To get the most out of your email A/B tests, it's important to track the right metrics. These metrics will help you understand how each version of your email is performing and make data-driven decisions about which one to send to your entire audience.

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Key metrics: open rate, click-through rate, conversion rate.


Because the prompt has been carefully designed and thoroughly tested, all you need to do is replace the keywords with your business products, services, and topics in your industry, and you'll get good results.


To optimize the quality of the best results, we encourage you to use GPT-4 or experiment with prompts on other AI platforms to compare the best results: ChatGPT, Gemini, Claude, Copilot.


If you want the results in your language, please add the following to the end of the prompt. “Please write with [your language].