What action do I want my user list to take?

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The delivery and construction of an email depend largely on the desired objective. Some emails are designed to intrigue a user and lead them to visit a specific product page, pushing them toward a subsequent purchase.

Of course, along with emails developed with sales objectives, there are all those designed to get the user to join a loyalty or subscription program, or simply to read it.
All of this translates into the need to schedule emails at different times and periods.

What time does my audience usually check their email?
Analyzing email open rates is critical and depends heavily on the type of customer you interact with. Using advanced profiling and segmentation platforms, such as Blendee, can provide detailed france telegram data insights into user behavior and help determine the best time to send emails.

For example, loyal customers may open and read emails at specific times, while other categories of users may behave differently. Deep audience insight, gained through detailed profiles, allows you to send the right email at the right time.

Shipping Best Practices: Still Valid
For a long time, numerous studies have attempted to identify certain recurring elements that underlie the timing of email sending. Of course, these practices find application when supported by data.

Studies show that weekdays are generally best for sending emails, with Thursdays, Tuesdays, and Wednesdays yielding the best results. Morning hours (9:00–12:00) are peak engagement times, followed by evening hours (12:00–15:00). However, optimal times can vary depending on the industry, user characteristics, and more.

As mentioned, these are only best practices, not certainties.
To ensure we choose the best sending time, we must use tools and technologies that allow us to deeply analyze and track the behavior and interactions of each individual user.

For every company and brand today, it's becoming increasingly essential to equip themselves with platforms like Blendee, which enable the creation of profiles and advanced segmentation of each individual user, allowing for in-depth insights into the entire customer journey and a 360-degree view of the user.