<?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/af3b96aeb14c4b00be02e51405bfb659&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/af3b96aeb14c4b00be02e51405bfb659-183a1fc56c338cf9.gif</thumbnail_url><duration>190.288</duration><title>PricePulse: Drift, Dollars at Risk, PulseScore</title><description>This Loom introduces PricePulse, a tool to analyze the revenue impact of listing price profiles drifting from market prices. The creator notes that one in four churn listings had their calendar price profiles out of sync with market prices, and proposes metrics including drift (recommended versus calendar price), scaled drift by booking likelihood to estimate dollars at risk, and PulseScore as the correlation to market price profiles. At the portfolio level, it buckets listings into low, medium, and high risk and highlights the most urgent listings, including a three year bias map and a biage map style view. It also supports scenario simulation by letting PMs fix the highest risk listings to estimate recovered dollars at risk and overall PulseScore improvement, plus listing level deep dives and neighborhood acquisition guidance.</description></oembed>