<?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/c8640f05c0b6495fbcbc637c77618d9f&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c8640f05c0b6495fbcbc637c77618d9f-398e07fcc882ba3d.gif</thumbnail_url><duration>307.202</duration><title>Customer Retention Analytics Project Overview 📊</title><description>In this video, I present our customer retention analytics project where we analyzed five key data sets including customer demographics and transactions. We calculated a churn rate of 49% and segmented customers into low, mid, and high tiers, revealing different product preferences across loyalty tiers. Our promotion analysis showed a 52.70% promotion application rate, indicating that customers are earning more points than they are redeeming. We also calculated an average customer lifetime value of 260.62. I recommend reviewing the visuals and insights provided to enhance our retention strategies.</description></oembed>