cohort-analysis

To analyze subscriber retention by sign-up month and plan type, upload your subscriber data as a CSV, Excel, or JSON file. The Skill processes this data to generate visualizations and insights, grouping users into cohorts to track active retention over time.

Yes, you can identify loyal subscriber acquisition channels by analyzing retention patterns segmented by acquisition source. The Skill evaluates subscriber cohorts based on how they were acquired to determine which channels yield the highest long-term retention.

Wash frequency decay measures the declining rate of subscriber usage over time. By analyzing this decay pattern within cohorts, you can predict churn and understand engagement levels to identify when users are most likely to cancel their subscriptions.

Cohort analysis works with JSON data exports natively, alongside CSV and Excel formats. You can upload your subscriber data in any of these supported formats to analyze subscription health, upgrade and downgrade patterns, and retention metrics.

Track upgrade and downgrade trends by grouping subscribers into cohorts based on sign-up month and plan type. This reveals plan behavior patterns over time, helping you understand overall subscription health and identify factors influencing plan changes.