Customer Churn

customer churn data to uncover: Key churn drivers Retention opportunities Strategic recommendations to boost customer lifetime value 🔍 Key Business Insights: 📍 High-Risk Regions: Region X records the highest churn rate at 25%, compared to Region Y’s 15%. 👥 Demographic Trends: Young customers (ages 18–25) are 2× more likely to churn than older groups. 📊 Engagement Levels: Low-purchase customers show a 30% churn rate, compared to 12% for frequent buyers. ⏳ Subscription Timing: Most cancellations occur within the first 3 months of subscription. 🎯 Retention Drivers: Personalized offers led to a 15% reduction in churn in pilot groups. 💡 Strategic Recommendations: ✅ Launch targeted engagement programs during the first 90 days to reduce early cancellations. ✅ Deploy personalized incentives and loyalty campaigns for at-risk customers. ✅ Enhance support and communication for younger segments. ✅ Use predictive churn modeling to proactively engage high-risk customers. ✅ Optimize regional marketing budgets to improve retention in underperforming areas. 🔗 Project Links: 📂 GitHub Repository: https://lnkd.in/dVcSTCk6 📊 Interactive Power BI Dashboard: https://lnkd.in/dH_E4Q-8