Engagement & Behavioral Signals in Filtering

The "AI" revolution. This is the "magic" of modern filtering. This section explains how filters now personalize their decisions for each user. If you always open a newsletter, it goes to your inbox. If another user always deletes it, the filter learns to send it to their spam folder.

11 questions in this topic

How does engagement influence filtering? What actions count as positive signals (opens, clicks, replies, moves to inbox)? What actions count as negative signals (deletes, spam reports, ignores)? How fast do engagement signals influence reputation? How do filters use engagement across users (crowdsourced learning)? What’s the difference between user-level and aggregate engagement? How can content and engagement signals interact? How do filters detect “fake” engagement (bots, internal opens)? How does Apple’s MPP confuse engagement-based filters? How does long-term engagement consistency affect placement? How do low engagement senders get gradually suppressed?

Questions about Engagement & Behavioral Signals in Filtering