Open this lesson in your favourite AI. It'll walk you through the why, explain the demo, and quiz you on the try-it list.
Certain words and patterns in subject lines or body copy train spam filters to route your message to junk before it's ever read. Knowing the current trigger landscape lets you write compelling copy that still passes content filters.
Use these three in order. Each builds on the one before.
In one paragraph, explain how content-based spam filtering works and why certain words increase spam score.
Walk me through how Bayesian content filters learn which words and patterns correlate with spam and how they update those weights over time.
Given a legitimate financial services sender whose compliance-required language ('guaranteed return', 'risk-free') triggers spam filters, how do you balance regulatory requirements with deliverability?