Calculate Customer Churn Rate in 6 Clicks

📊 Performing a retention analysis within Amplitude can help track how many new users join and return within 30 days. 🔄 Day 7 retention rate is higher than Day 5, indicating that more users come back on the seventh day after being new, rather than the fifth day, highlighting the importance of long-term retention strategies. 📈 Visualizing customer churn breakdown across a 30-day window can help identify factors affecting churn. 🔄 Variations in user experiences across platforms may influence churn rates, highlighting the importance of optimizing user experience to reduce customer churn. 📊 Cohorts of users can be created to investigate customer churn rate in more detail, offering a deeper understanding of retention patterns. 📉 A 58% churn is always better than a 90% churn. 🤔 Something's happening in this region between Day 14 and Day 30 that is causing so many customer accounts to churn, prompting the need for stronger sales and marketing tactics. 🧠 The ability to ask and answer the what, how, and why behind customer data can lead to a deeper understanding of customer behavior.