<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/b42c33c1dc4a42ac8939b93a9fdb8224&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/b42c33c1dc4a42ac8939b93a9fdb8224-1d67db45f4b1fcbb.gif</thumbnail_url><duration>84.313</duration><title>Optimizing Message Frequency for Effective User Engagement</title><description>In this video, I discuss the importance of managing message frequency within our AMP system to avoid spam while effectively engaging users. I explain how agents learn the optimal messaging frequency for each user and how we can set frequency limits at various levels, including global, channel, and trigger-specific limits. It&apos;s crucial to remember that these limits serve as guardrails rather than goals, allowing agents to tailor their approach based on user behavior and context. I encourage you to explore the System Setup to implement these frequency limits effectively. Please take action to review and adjust these settings as necessary to enhance our communication strategy.</description></oembed>