Newsletter: Tips to avoid the SPAM folder
Posted: Sun Jan 26, 2025 9:12 am
At Webmefy we work with the most powerful tools to help you complete your company's digital leap and to do so, a fundamental step is Klaviyo, the professional email marketing application that analyzes your customers' behavior on your website . With this software you can create personalized newsletters based on that behavior, which exponentially increases the chances of success. However, there is one word that gives newsletters nightmares... That is none other than the word "SPAM".
Because SPAM is for newsletters what kryptonite is for Superman or what holy water is for vampires. We must try to avoid it by all means, but the truth is that this is often not easy, because users are reluctant to receive this type of communication and end up marking it as SPAM. What can we do to avoid this?
Traditionally, there has been a belief that a massive cameroon number dataset of emails was a sure way to success. However, experience has shown that this is far from the truth and that it only provokes a strong rejection from the recipient. There is no concrete solution, but at Klaviyo we have set to work to ensure that your emails avoid that dreaded folder.
With this tool we have access to a multitude of data regarding our customers' interaction with our newsletters : opening rate, click rate, unsubscriptions, bounces, marked as SPAM, etc. Therefore, our job will consist of analyzing all this data to find out which emails work best and which do worse.
We also need to know how the algorithm used by email servers such as Gmail or Yahoo behaves, as each has its own characteristics. In this sense, so much progress has been made that these algorithms are capable of analyzing by themselves the interaction of clients with our emails. If this interaction is reduced and spaced out over time, it is very likely that these emails will end up in the SPAM folder, as the algorithm will interpret that they are no longer relevant.
1. Review the subscription process
We must be clear about where each email address on our list comes from. If we know how each one of them arrived, we will be much closer to the goal of being relevant to the recipients, since we can focus a different campaign on each user profile . Whether they have specifically registered to receive the newsletter or if they have subscribed when making a purchase. Each profile is different and we must know them all.
Because SPAM is for newsletters what kryptonite is for Superman or what holy water is for vampires. We must try to avoid it by all means, but the truth is that this is often not easy, because users are reluctant to receive this type of communication and end up marking it as SPAM. What can we do to avoid this?
Traditionally, there has been a belief that a massive cameroon number dataset of emails was a sure way to success. However, experience has shown that this is far from the truth and that it only provokes a strong rejection from the recipient. There is no concrete solution, but at Klaviyo we have set to work to ensure that your emails avoid that dreaded folder.
With this tool we have access to a multitude of data regarding our customers' interaction with our newsletters : opening rate, click rate, unsubscriptions, bounces, marked as SPAM, etc. Therefore, our job will consist of analyzing all this data to find out which emails work best and which do worse.
We also need to know how the algorithm used by email servers such as Gmail or Yahoo behaves, as each has its own characteristics. In this sense, so much progress has been made that these algorithms are capable of analyzing by themselves the interaction of clients with our emails. If this interaction is reduced and spaced out over time, it is very likely that these emails will end up in the SPAM folder, as the algorithm will interpret that they are no longer relevant.
1. Review the subscription process
We must be clear about where each email address on our list comes from. If we know how each one of them arrived, we will be much closer to the goal of being relevant to the recipients, since we can focus a different campaign on each user profile . Whether they have specifically registered to receive the newsletter or if they have subscribed when making a purchase. Each profile is different and we must know them all.