The Rolling Window offers you an alternative way of reading your indicators: a continuous analysis, over the last X days or X months, instead of a view split by month. Ideal for analyzing your momentum, detecting trend inflections, and neutralizing calendar-related edge effects.

What is a Rolling Window?

A Rolling Window consists of calculating a KPI over the last X days or the last X months, updating this window continuously.

A few 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

The goal: a smoother reading, neutralizing seasonality, that highlights structural trends.

Why use Rolling Windows?

1. Smooth out monthly volatility

Metrics sensitive to seasonality or other phenomena (churn, expansions, new customers…) become more stable.

2. See trends more clearly

The Rolling Window reveals real traction, even if your business has a lot of month-to-month variations.

3. 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.

4. 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:

1. Open the chart of your choice (MRR, growth, churn, revenue…).
2. At the top left of the chart, click the Rolling window button, located right next to the period selector.
3. Choose the desired rolling window.

Options offered by default:

• 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. Rolling 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 the values over the window.

Important example: Rolling Window of the churn rate

The churn rate in a Rolling Window is not a simple average of the monthly churn rates.

Formula used:

Rolling Window churn rate = Sum of churns (in MRR) over the window ÷ Sum of MRR positions over the window

This produces a weighted average, where periods with a larger MRR count more.

Important: no netting in a Rolling Window

Within the rolling window:

• Churns, expansions, and contractions are added up independently.
• Fincome does not offset automatically (no "net" restatement).

This choice guarantees a faithful reading of the period's raw dynamics.

Concrete use cases

1. Stabilize a highly variable churn rate

Lets you read the real trend, rather than an isolated abnormally high month.

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 rolling window lets you 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 highly aggregated (e.g. some cohort tables) are not always compatible.

Do filters and analytical dimensions work with the Rolling Window mode?

Yes, 100% compatible.

Does it change my exports?

No. The Rolling Window only affects the display, never the source data.

Updated on: 03/07/2026