Post by account_disabled on Oct 25, 2023 0:28:42 GMT -8
Use the power of prediction If you have an automated system for sending e-mail marketing campaigns or you cooperate with an agency that is familiar with this topic, analyze together the predictions at your disposal. These predictions may include: lookalikes, which allow you to compare two different segments , helping to find a group of customers with similar performance characteristics.
You can use such predictions to direct your e-mail marketing campaign to a group of users for whom the previous (similar) campaign performed exceptionally well, based on the selection of the optimal phone number list shipping time that will generate the highest OR. These types of processes are based on previously observed user behavior. This, in turn, will help you time your emails to generate the best possible impact.
It is therefore worth considering the use of both prediction and AI. Use segmentation To provide personalized content, use data about your customers. Please note that not all users have the same characteristics, interests or needs ( people who often sign up for webinars will be much more interested in industry events). Your customers may be different based on more than just demographics. The easiest division is by gender.
You can use such predictions to direct your e-mail marketing campaign to a group of users for whom the previous (similar) campaign performed exceptionally well, based on the selection of the optimal phone number list shipping time that will generate the highest OR. These types of processes are based on previously observed user behavior. This, in turn, will help you time your emails to generate the best possible impact.
It is therefore worth considering the use of both prediction and AI. Use segmentation To provide personalized content, use data about your customers. Please note that not all users have the same characteristics, interests or needs ( people who often sign up for webinars will be much more interested in industry events). Your customers may be different based on more than just demographics. The easiest division is by gender.