{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/bdb32d2e9a214440a13f2935a3ab59c1\" frameborder=\"0\" width=\"1152\" height=\"864\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":864,"width":1152,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":864,"thumbnail_width":1152,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/bdb32d2e9a214440a13f2935a3ab59c1-001069d3ed423e44.gif","duration":263.7376,"title":"Customer Retention and Analytics Insights","description":"In this video, I present the retail customer attention analytics focused on understanding customer behavior and lifetime value through transaction data. I analyzed customer churn across various regions and channels, revealing that certain areas contribute more to customer loss. Additionally, I segmented customers by purchase frequency, finding that high-frequency customers exhibit stronger loyalty. I recommend prioritizing retention efforts for high CLV customers, improving performance in underperforming regions, and enhancing loyalty engagement strategies. I also included detailed documentation of my analysis and calculations for your review."}