{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/c8640f05c0b6495fbcbc637c77618d9f\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/c8640f05c0b6495fbcbc637c77618d9f-398e07fcc882ba3d.gif","duration":307.202,"title":"Customer Retention Analytics Project Overview 📊","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."}