For cross-border e-commerce sellers, email is actually a very efficient and wide-ranging marketing channel. However, many novice sellers focus on in-site advertising such as CPC advertising and pay little attention to emails. This article will focus on: cross-border e-commerce email marketing cases. I hope it can be interpreted through the cases. Give you some inspiration.
As the originator of cross-border e-commerce trading websites, Amazon is considered the pioneer in the field of “email marketing”. In its early days of marketing, Amazon liked to use backend data as analysis and support, and sent email marketing to buyers. In this way, the conversion rate was much higher than on other platforms.
For example, in a cross-border e-commerce seller’s email marketing case, when a cross-border e-commerce user browses “Point and Shoot” on Amazon on a whim, he will receive Amazon’s Email reminder.
Email content 1: Mainly includes the product categories visited by this buyer, and the best-selling and most purchased product models. The email showed a Canon model number and they were sure they were browsing that brand of camera, and they even added a Canon camera to their shopping cart.
Email content 2: In addition to recommendations for best-selling products, it will also include recommendations for another potential category of products in the vertical category. In this way, Kodak cameras can be displayed incidentally. Amazon does not simply recommend the most popular camera products on the platform, but because the Amazon database has learned that most people purchased one of the Kodak cameras after browsing. So Amazon thought this one would be interested as well.
Email content 3: It also contains some purchased products, with the purpose of getting us to buy cameras or generate repeat purchases.
In short, the above is the complete explanation of the “Cross-border e-commerce email marketing case”. Cross-border e-commerce sellers can use this email mode to classify and analyze buyers’ browsing and consumption behaviors. This is a dual combination of recommendation algorithm and personalized shopping experience, and can also carry out precise marketing to customers.