How to do well in the data filtering of mail marketing

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If you do email marketing What is the most important, I give the answer is the mailbox data screening and cleaning. Here is a comparison of 2 data, from which you can see the effect of data filtering:

Figure I

Figure II

Figure I sent people who have not had feedback on my mailbox, figure II is sent to send me a message has been opened or clicked on the person, in the picture can be compared to see their open rate and click-through, you can see is sent through the data filtered mailbox It's open rate and click-through is no screening of more than 10 times times, The importance of visible data filtering.

So how do you do the data filtering for your mailbox list?

The main thing is to analyze the user's feedback data, if the user opened our mail, it means that they are aware of our brand, and if he clicked on our mail, it means that he is interested in our mail. And those who are aware of our brand and interested in our emails are the ones we want to sift through. So do the filtering of the mailbox data, the most important is to analyze the user's feedback, and then according to the feedback to export what we need

The real thing is that you go to the 2~3 email test of the mailbox data that you want to filter, and then you pick out the people who have had feedback (open or clicked) on our emails, these are the data we cleaned.

In this project, two places have to pay special attention to:

1, according to the number of mailboxes to determine the number of test messages. Under normal circumstances, the recommendation is 2~3, but if your email is too small or too large, you can do 1 tests, because too little mail to do too careful screening and distinguish between not much meaning, and too much data multiple screening in the consumption will be very large, the number of times this test needs to be flexible settings.

2, for testing the content of the message if the most difficult to accept the content, such as Product List class mail. The reason for this is that the mail itself is the least likely to be accepted, if users do not show too much aversion to such emails, and often give feedback, they do not resent our marketing emails, which are used as the best results for data-filtered messages.

Also want to say is that our mailing list must be the result of continuous screening and constantly add this will make your email marketing become more 17812.html "> Sustainability and High returns." The full text is submitted by http://www.aidai.com/Love Net.