People tend to read their email at certain times of the day. Your message is likely to get the most attention if it arrives while the recipient is actively responding to email, but not when their inbox is already full of other messages that also demand attention. Understanding these complex patterns is difficult; they are based on many factors like work profile, demographics, nature of content, time of year, and more. The patterns are hard to predict and practically impossible to schedule manually for each recipient of an email campaign.
This AI feature considers typical patterns and discovers new ones to build a preferred time profile for each contact. Since customer journeys are already capable of sending communications at distinct times, they can schedule emails close to the detected preferred time slots for each recipient. For example, the AI may predict that mid-level managers typically read transactional messages first thing in the morning each day, but typically don't open marketing emails that arrive over the weekend.