The power of storytelling in email marketing

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In addition to these general statistics on email marketing metrics, we also segment the data by the market segments our clients operate in. The idea is to find out which departments use artificial intelligence the most and see if the technology is more effective for some departments than others. Finally, we consider data from GetResponse’s latest email marketing benchmark, in which we use different metrics to evaluate client performance.

Editor's Note This survey provides an overseas chinese in europe data overview of the use of generative artificial intelligence in email campaigns. Therefore, I recommend using this data only as an example and not as a direct guide to strategic decisions. That said, let’s count them! Which is better, an email generated by artificial intelligence or one created manually? Let’s start by using some important metrics to outline the average performance of each type of email.

Here's a quick explanation of what each means. The first three metrics in the table are directly related to user engagement, as they indicate whether users are interested in opening and interacting with the content and links presented in the message. The last two indicators include aspects beyond content quality. For example, a high unsubscribe rate might indicate that the sender collected a large number of email addresses from people without their permission and left the list when they became aware of this violation.