<?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/ba82b6956a6e4f42bcc01ca324090e9c&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/ba82b6956a6e4f42bcc01ca324090e9c-2d82843f338192cb.gif</thumbnail_url><duration>358.989</duration><title>Measuring Sales Productivity: Understanding Total Bookings and Ramp Equivalents</title><description>In this video, I walk you through a simulation of measuring sales productivity, specifically focusing on total bookings per ramped sales equivalent. We started with one seller in Q4 2025 and increased our headcount by 10% each quarter, rounding up as needed. By Q1 2026, we had two sellers booking an average of 88K, with total bookings per ramped seller reaching 300K. I emphasize the importance of tracking total bookings per ramped sales equivalent to get a stable view of sales productivity. Please review the data and consider how we can apply these insights to our hiring and ramping strategies.</description></oembed>