Analyze your metrics continuously with the Rolling Window
The Rolling Window allows you to analyze your KPIs no longer on calendar months, but on a rolling period (3, 6, 12 months or customized).
The Rolling Window offers you an alternative reading mode for your indicators: acontinuous analysis, over the last X days or X months, instead of a view split by month. Ideal for analyzing your momentum, detecting trend inflection points 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 this 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 real traction, even if your activity has large month-to-month variations.
Compare trajectories on a more homogeneous basis
Comparing “the last 3 rolling months” year over year is often more relevant than a Q1 or Q4.
Better understand seasonality, momentum and weak signals
Ideal for anticipating trend shifts.
How to use the Rolling Window in Fincome?
The Rolling Window is accessible from any chart, directly in the Analytics interface.
To enable 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.
Default options offered:
3 rolling months
6 rolling months
12 rolling months
Custom option:
You can define your own window (e.g.: 3, 6, 12 months or any other value).
Once enabled, 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 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 of the churn rate
Important: no netting in a Rolling Window
In the sliding window:
Churns, expansions and contractions are added independently.
Fincome does not offset automatically (no “net” reprocessing).
This choice ensures a faithful reading of the raw dynamics of the period.
Concrete use cases
📈 1. Stabilize a very variable churn rate
Allows reading the real trend, rather than an isolated month that is unusually high.
🧭 2. Evaluate growth momentum
Net MRR over 3 or 6 rolling months = a powerful indicator for your financial reviews.
🔍 3. Monitor seasonal trends
The Rolling Window neutralizes peaks related to month-ends or quarter-ends.
📊 4. Improve your renewal and cohort analyses
The sliding window makes it possible 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 on 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 display, never the source data.
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