The Old Way vs. The AI Way
Traditionally, spam filters looked for specific triggers: words like 'Viagra', bad HTML, or blacklisted IPs. Today, Google's TensorFlow models analyze the context and intent of your message.
Semantic Analysis
AI can understand if your email sounds like a scam, even if you don't use 'spammy' words. It looks at sentence structure, tone, and the relationship between the text and the images.
User Engagement Modeling
The AI predicts how a user should react. If you send an email that looks like a personal letter but has an unsubscribe link, the AI knows it's a mass email masquerading as personal. This mismatch can trigger a flag.
How to Adapt
Write for humans, not algorithms. Ensure your content is genuinely useful. Maintain a consistent sending pattern. And most importantly, keep your engagement high. If people reply to your emails, the AI learns that you are a friend, not a foe.
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