Subscription Forecasting


Set your own values and forecast your subscriptions to better understand where you'll be in the future. This dashboard aids in strategic planning by allowing you to inject forecasted measures for rebill rate, cycle 2 rate and cycle 3+ rate to precisely forecast revenue (based on input over-rides that you make). The Retry 1, 2 and 3 options are the percentage success at billing cards upon reattempt. 

This dashboard provides your specific 90-day averages  for each of these measures previously mentioned. Use these to help fine tune your forecast. All forecasting inputs are defaulted to 100% on initial load. Adjust them to your desired ratios to get an accurate forecast.

Step #1 - Consider your benchmarks before adding forecasting assumptions.


Step #2 - Add your forecasting assumptions.



Step #3 (optional) - Leverage dimensional pivoting to dynamically change the dimension as you see fit (e.g., change from AFID to Campaign or Gateway) by simply clicking the desired dimension within the filter.


Step #4 - Hit RUN.


Potential Actions

  1. Forecast revenue that by considering rebill rate and recurring order rate (cycle 2 and cycle 3+), based on known volume that has actually occurred and what/if scenarios on what has yet to occur. This enables you to run various scenarios to determine a forecast that you're comfortable with.

Additional Resources

You may find the following Help Center articles relevant to Analytics helpful.

  1. Glossary of Measures - Complete Analytics definitions and formulas
  2. How to use Filters - Leverage the full power of Analytics date and data filters
  3. Analytics Vs. Reports - Data Calculation Methodology - Understand the differences between Analytics and Reports
  4. Analytics Overview - Foundational information to help your understanding of Analytics
  5. Glossary of Terms - industry terms and definitions