This is an email that has the advantage of obtaining better opening rates. In addition, recency plays a fundamental role and we reach the user at the key moment namibia business email list when they have been in contact with the brand and have shown interest. Therefore, why not use this email to encourage the purchase? Many times, in addition to obtaining sales, we will be taking advantage of it to take an important step: converting a mere subscriber into a buyer.
Abandoned cart email This is another of the emails that demonstrate higher conversion rates. We are addressing a user with a high interest in the brand and recent contact with it. The user has browsed the e-commerce and has shown interest in certain products by adding them to the basket, however, they have not completed the purchase.
If we have the user identified through cookies, we can send them an email with the requested products, encouraging them to complete the purchase. Various studies show high conversion rates in this type of email, with up to 25% of these abandoned carts being recovered. If you want to know how to implement it in your e-commerce, you can learn about some remarketing resources in our guide to email marketing tools or in this article. – Recommendation email It is similar to the previous one, but this time, instead of reminding the user of the existence of an abandoned cart, we are going to go to a lower level of engagement with the user. We will base it on the user's behavior on the website, that is, on the sections and products that they have visited, even without adding them to the basket.
– Personalized email As you can see, all these emails have one thing in common, responsible for their sales potential: relevance for the user. If an email is aligned with the user's needs and characteristics, it will sell more. Therefore, we come to this last recommendation: let's increase the relevance of the communication by personalizing the message. But let's not only think about personalizing the name in the subject or content, but also about the type of product we send. In a similar way to the recommendation email, which is based on the user's interaction with the website, we can segment the database based on the user's interaction with our emails. It is about establishing product categories and analyzing the interest of users based on their clicks. Let's imagine a sports store. We can categorize the products by sport: swimming, tennis, basketball... and then define a segmentation similar to this: "Users who have clicked 3 times on swimming products in the last month", and send an email to this segment, focused on this sport. In short, we can summarize this article in one key idea.
