Skio Analytics v3 is a complete rebuild of our analytics system built on state-based architecture. We rewrote the entire backend to use State Change Tables that record every subscription event—status changes, product swaps, billing interval updates, and more. This is for merchants who need fast, accurate subscription data without choosing between speed and historical depth. Instead of showing snapshots in time, the new system stores a continuous history for every subscription, giving you true time-travel analysis that loads in seconds. Every dashboard now shares unified logic where MRR, revenue, churn, and LTV are calculated the same way across all pages. We redesigned each dashboard with a single analytical focus—Overview captures growth, Products highlights mix, Cancel Flow tracks retention, Dunning shows recovery, Cohorts reveals long-term value, and Forecasting predicts what's next. You can now group data by day, week, month, or quarter, filter by segments on the Cohort dashboard, and export exactly what you see on screen. The new architecture is built for rapid iteration, so expect new metrics, filters, and tools added monthly. Lightning-fast dashboards, historical accuracy, consistent metrics across all pages, and a foundation ready for predictive modeling and AI-driven insights.
