MRR

The MRR (Monthly Recurring Revenue) report provides a detailed view of your subscription revenue over time. It is a central tool in GrowPanel for tracking growth, understanding revenue trends, and identifying customer behavior patterns.

Overview

The MRR report includes:

• A timeline chart showing your MRR over the selected period.

• A detailed table breaking down the components of your MRR:

  • New sales – revenue from newly acquired customers
  • Expansions – revenue growth from existing customers
  • Contractions – reductions in revenue from downgrades
  • Churn – revenue lost from cancellations
  • Reactivations – revenue recovered from returning customers
  • FX impact – changes due to currency fluctuations
  • Net new MRR – total change in recurring revenue

Filters

The report supports a wide range of filters to help you focus on specific segments of your business. These include:

• Date range – select a custom range or preset periods (last 30 days, last quarter, etc.)
• Interval – choose how MRR is aggregated: daily, weekly, monthly, quarterly, or yearly
• Currency – select your reporting currency, with the option to fix/freeze FX rates for consistent comparison
• Additional filters – plan, subscription tier, region/country, billing frequency, and payment type (see all filters)

Filters are applied to both the chart and the table simultaneously.

Using the chart

• Hover over points in the timeline chart to see the exact MRR value for a given period.
• Hovering highlights the corresponding column in the table below for quick comparison.

Using the table

The table view provides a granular breakdown of MRR changes:

• Each row shows the MRR movement type, the currency, and the number of unique customers contributing to that change.
• Clicking on a cell expands a details table underneath, showing all individual MRR movements for that period, including which customer contributed to each movement.
• Clicking on a customer in the details table navigates to the customer details page for further investigation.

You can also export the table as a CSV file for offline analysis or reporting.

Practical tips

• Use the interval selector to understand trends at different granularities. Weekly intervals are useful for spotting short-term fluctuations, while monthly or quarterly intervals give a longer-term view.
• Fixing the currency is recommended when analyzing historical performance across multiple currencies, as it removes FX volatility from the analysis.
• Combine multiple filters to isolate specific customer segments or product lines, enabling precise revenue insights.