Analyze your metrics continuously with the Rolling Window
The Rolling Window allows you to analyze your KPIs not on calendar months, but over a rolling period (3, 6, 12 months or custom).
The Rolling Window offers you an alternative reading mode for your metrics: acontinuous analysis, over the last X days or X months, instead of a month-by-month segmented view. Ideal for analyzing your momentum, detecting trend inflections and neutralizing calendar-related edge effects.
What is a Rolling Window?
A Rolling Window (or sliding window) consists of calculating a KPI over the last X days or the last X months, updating that window continuously.
Some possible examples:
Average MRR over the last 3 rolling months
Weighted churn over the last 6 rolling months
Net growth over the last 12 rolling months
Cumulative revenue over the last 365 days
Why use Rolling Windows?
Smooth monthly volatility
Metrics sensitive to seasonality or other phenomena (churn, expansions, new customers…) become more stable.
See trends more clearly
The Rolling Window reveals true traction, even if your activity varies a lot month to month.
Compare trajectories on a more homogeneous basis
Comparing “the last 3 rolling months” year over year is often more relevant than Q1 or Q4.
Better understand seasonality, momentum and weak signals
Ideal for anticipating trend switches.
How to use the Rolling Window in Fincome?
The Rolling Window is accessible from any chart, directly in the Analytics interface.
To activate it:
Open the chart of your choice (MRR, growth, churn, revenue…).
At the top left of the chart, click the Rolling windowbutton, located just next to the period selector.
Choose the desired sliding window.
Options offered by default:
3 rolling months
6 rolling months
12 rolling months
Custom option:
You can set your own window (e.g.: 3, 6, 12 months or any other value).
Once activated, Fincome automatically recalculates your KPIs according to the selected rolling period.
How does Fincome calculate Rolling Windows?
The Rolling Window mode applies one of two types of calculation, depending on the nature of the metric:
1. Moving average (for stock or ratio KPIs)
Used for:
MRR / ARR
Number of subscribers
ARPA
LTV
Rates (e.g.: churn)
Any ratio or average indicator
Fincome calculates an average over all the values in the window.
2. Rolling sum (for flow KPIs)
Used for:
Recognized revenue
New MRR
Contractions
Expansions
Churns (in value)
New customers / reactivations
Fincome adds up all values over the window.
Important example: Rolling Window for the churn rate
Important: no netting in a Rolling Window
Within the sliding window:
Churns, expansions and contractions are summed independently.
Fincome do not automatically offset (no “net” post-processing).
This choice ensures a faithful reading of the raw dynamics of the period.
Concrete use cases
📈 1. Stabilize a very variable churn rate
Allows you to read the real trend, rather than an isolated month that is abnormally high.
🧭 2. Assess growth momentum
Net MRR over 3 or 6 rolling months = a powerful indicator for your financial reviews.
🔍 3. Track seasonal trends
The Rolling Window neutralizes spikes related to month-ends or quarter-ends.
📊 4. Improve your renewal and cohort analyses
The sliding window allows you to anticipate shifts before they appear in calendar months.
FAQ
❓ Does the Rolling Window replace monthly views?
No. It complements the traditional calendar view.
❓ Is it available for all KPIs?
Almost all. Views that are already heavily aggregated (e.g. some cohort tables) are not always compatible.
❓ Do filters and analytical axes work with Rolling Window mode?
Yes, 100% compatible.
❓ Does this change my exports?
No. The Rolling Window only affects the display, never the source data.
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