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Sample from the e-mailing tool Ecomail

Posted: Tue Feb 18, 2025 6:19 am
by suchona.kani.z
Before you start sending out emails, you should know who will read them. Do you really know them well? Personas , fictional people who are likely recipients of your content, will help you get to know them. By creating them, you will find out what content they might be interested in and how to deliver it to them. This will make your emails perfectly personalized. However, personalize them based on the recipient's behavior and don't forget about proper segmentation .

Think about specific emails and their frequency
Now we are slowly reaching the finale. You have defined your goals, the settings are sorted out, you know your recipients. So it is high time to think about the content you will offer them. Think about who is suitable to send emails to (see segmentation above) and when automation will be beneficial for you . Be original. Remember that your email is far from the only one and that it can easily get lost in the flood of other newsletters .

Whether you offer services or products, work with the customer line database buying cycle . Its length often depends on the nature and, above all, the price of the goods or services. It is then necessary to adapt the content offered to the buying cycle, because you can hardly count on a user who has barely met you to immediately buy or order services. Don't be afraid to use non-pressure marketing .

It's equally important to consider frequency. How often should you send emails so that they're not too many, but not too few? We've already covered that in one of our previous articles.

see-think-do-care framework
Buying Cycle – See–Think–Do–Care Framework

Consider how to maintain a high-quality database
You should regularly maintain your contact list to keep your database active and full of engaged contacts . By keeping your list clean, you will only send emails to people who are interested in your email and will not mark your messages as spam. This will reduce your bounce rate , which is one of the indicators of a quality and up-to-date database.