Naturally, alongside emails developed with sales objectives, there are all those that are built to get the user to join a loyalty or subscription program or simply to read.
All this translates into the need to program the email at different times and periods.
What time does my audience typically check their email?
Email opening analysis is essential and depends a lot on the type of customer you are interacting with. Using advanced profiling and segmentation platforms, such as Blendee, can provide a detailed view of user behavior and help determine the best time to send emails.
For example, loyal buyers may open list of afghanistan consumer email and read emails at specific times, while other categories of users may behave differently. Deep audience knowledge, obtained through detailed profiling , allows you to send the right email at the right time.
Sending Best Practices: They Still Apply
For a long time, numerous studies have tried to identify some recurring elements that are at the basis of the choice of the time to send emails. Naturally, these practices find their application when they are supported by data.
Studies show that weekdays are generally better for sending emails, with Thursday, Tuesday, and Wednesday performing best. Morning hours (9:00-12:00) are the times of highest engagement, followed by afternoon hours (12:00-15:00). However, optimal times can vary depending on industry, user characteristics, and more.
As mentioned, these are only best practices, not certainties.
To be sure of choosing the best sending time, we must necessarily use tools and technologies that allow us to analyze and track in depth the behavior and interactions of each individual user.
For every company and Brand today it is becoming increasingly essential to equip themselves with platforms like Blendee that allow advanced profiling and segmentation of each individual user, allowing them to know in depth the entire customer journey and have a 360 view of the user.
The data of each individual customer is the starting point for programming and sending effectively.
