As we have seen above, there are many good practices used and that have become more and more relevant over time in choosing the right time to send, in addition of course to the classic a/b test used to test any email marketing campaign .
All these aspects, however, cannot be separated today from a careful study and analysis of the data of the behavior of each individual user.
In fact, every customer is unique and has their own characteristics and, despite adopting these best practices, it is actually very difficult to establish in an unambiguous and absolute way the best time to send an email to each individual customer.
For these reasons, using platforms like Blendee, which allow you to track all of each user's cambodia mobile database interaction data, normalize it to the single customer view, and provide the most accurate view of each individual user to identify the best time to send, becomes more essential than ever.
With analytics, it is possible to create truly personalized email campaigns and correctly identify how and when to send the email.
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