Introduction
Dynamic timeframes allow you to customize how your dashboard charts group and display data by date. You can choose between Daily, Weekly, and Monthly groupings to analyze your subscription metrics at different levels of granularity.
How Dynamic Timeframes Work
For Transaction-Based Metrics
For metrics that involve summing values (like Revenue or Transaction Count), dynamic timeframes work intuitively:
- Daily: Shows the sum of all values that occurred on each specific day.
- Weekly: Shows the sum of all values that occurred during each week.
- Monthly: Shows the sum of all values that occurred during each month.
Example: If you have $100 in transactions on August 4th and $150 on August 5th, your daily view will show these separately, while your weekly view will show $250 for that week.
For Subscriber State-Based Metrics
For metrics that track subscriber status (like Active Subscribers, Active Subscriber Movement), dynamic timeframes work differently and require careful interpretation:
- Daily: Shows all subscribers who had the specified status for at least one moment during that day.
- Weekly: Shows all subscribers who had the specified status for at least one moment during that week.
- Monthly: Shows all subscribers who had the specified status for at least one moment during that month.
Important Considerations for State-Based Metrics
Why Numbers Vary by Timeframe
When viewing the same date with different timeframes, you may notice that longer timeframes typically show higher numbers. This is because:
- A subscriber who was active for just 2 hours on August 5th will appear in both the daily count (August 5th) and the monthly count (August 2025)
- Someone who churned mid-month will still be counted as an "Active Subscriber" for that entire month if they were active for any portion of it
Real-World Example
Let's say today is August 5th, 2025:
- Daily view (August 5th): Shows 1,000 active subscribers (those active at any point today)
- Monthly view (August 2025): Shows 1,050 active subscribers (includes anyone who was active at any point this month, including those who may have churned earlier in August)
Even though it's the same day, the monthly grouping captures a broader set of subscribers.
Best Practices
- Use Daily timeframes when you need precise, day-by-day tracking of subscriber states
- Use Weekly timeframes for trend analysis while smoothing out daily fluctuations
- Use Monthly timeframes for high-level reporting and understanding overall monthly performance
- Remember that state-based metrics will generally show higher numbers with longer timeframes due to the "at least one moment" rule.