How do behavior-based filters personalize automation?

Behavior-based filters use observed actions to personalize automation:

Filter types:

Purchase behavior: What they bought, when, how much, categories preferred. Browse behavior: Products viewed, categories explored, search queries used. Engagement behavior: Email opens, clicks, link preferences, content topics engaged. Site behavior: Pages visited, time spent, features used.

Personalization applications:

Content selection: Show content related to demonstrated interests. Product recommendations: Feature items similar to viewed or purchased products. Timing adjustment: Send when behavioral patterns suggest receptivity. Path selection: Route to different flows based on behavior type.

Examples:

"Browsed running shoes" triggers athletic content path. "Clicked pricing links" indicates high intent, routes to conversion-focused messaging. "Reads every email but never clicks" may need different content approach.

Behavior reveals intent more reliably than demographics. What people do tells you what they want more than who they are.