AI builds an engagement profile for each subscriber from their behavioral history — open and click timestamps (time of day and day of week), the device they engage on, their time zone for geographic normalization, and their purchase, browsing, and site-visit rhythms. From those signals it identifies each person’s peak attention windows: the recurring intervals when they actually open and act. Rather than batch-sending the whole segment at one fixed hour, dynamic scheduling spreads the same campaign across a delivery window (often 24 hours) so each subscriber receives it at their predicted best moment, and the profiles keep refining as new data arrives. Accuracy depends on data volume — platforms commonly recommend around 90 days of engagement history before predictions become reliable.
Full guide → AI for Send-Time Optimization and Deliverability
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