How can you use seed testing to detect new filter behavior?

Seed testing detects new filter behavior by sending to controlled test accounts and monitoring results. When filtering changes, seeds may shift from inbox to spam, experience delivery delays, or show other behavioral changes that signal algorithmic updates.

Effective seed testing requires seeds across major providers, regular sending that matches your normal patterns, and consistent monitoring. Changes in seed placement that do not correspond to your sending changes likely indicate provider filter updates.

Advanced seed testing compares results across content variations, sending times, and volumes to isolate what triggers new filtering. This diagnostic approach helps identify whether filter changes affect specific characteristics of your program or apply broadly to all senders.