Inbox vs Spam Decision Process

How the "harbor master" (filter) makes its final choice. This section explains the "last-second" decision process, which relies heavily on your domain reputation and the recipient's personal engagement with your past mail.

10 questions in this topic

What factors determine inbox vs spam? What is the role of sender reputation in placement? How do engagement metrics affect inboxing? How do filters combine IP, domain, and content reputation? What’s the difference between hard filtering and adaptive filtering? How do Bayesian and machine-learning filters influence placement? How do Gmail and Yahoo handle borderline messages? What’s a “quarantine” or “limbo” folder classification? How do user actions (move to inbox, report spam) influence future decisions? Why can identical campaigns land in inbox for some users and spam for others?

Questions about Inbox vs Spam Decision Process