Monthly Active Accounts (MAA)

Last updated: Jun 19, 2026

What is Monthly Active Accounts

Monthly Active Accounts is the count of unique accounts with at least one active user in a given month. It measures platform engagement at the account level, tracking how many accounts are actively using an application or service each month.

Monthly Active Accounts Formula

ƒ Count(Unique accounts with at least one active user in a given month)

How to calculate Monthly Active Accounts

A SaaS application has 100 accounts. In a given month, 80 of those accounts have at least one user who interacted with the application. Monthly Active Accounts for that month is 80. As a percentage of total accounts, 80% were active that month.

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How to visualize Monthly Active Accounts?

To best visualize your Monthly Active Accounts data, consider using a line chart to see changes in trend over time.

Monthly Active Accounts visualization example

Monthly Active Accounts

Line Chart

Here's an example of how to visualize your Monthly Active Accounts data in a line chart over time.
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Monthly Active Accounts

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Measuring Monthly Active Accounts

More about Monthly Active Accounts

Why Monthly Active Accounts matters

For SaaS businesses, growth isn't just about adding new accounts — it's about keeping existing ones engaged. Monthly Active Accounts gives you a direct signal of how many accounts are deriving value from your product each month.

MAA is useful for:

  • Tracking platform adoption across your customer base over time

  • Financial forecasting — active account counts feed into revenue projections and expansion models

  • Identifying churn risk — accounts that go inactive often precede cancellations

  • Segmenting engagement — comparing MAA across free vs. paid tiers reveals where value is landing

Monthly Active Accounts vs. Monthly Active Users

MAA should never be used in isolation. Pair it with Monthly Active Users (MAU) to understand the depth of engagement within each account.

Consider two accounts, each with 50 users:

  • Account A: 2 of 50 users active

  • Account B: 48 of 50 users active

Both count equally in your MAA total, but Account B is far more likely to renew and expand. MAA tells you breadth; MAU tells you depth. You need both.

A useful derived metric is active users per active account — dividing MAU by MAA gives you an average engagement density that surfaces accounts at risk before they churn.

How to define "active"

The definition of an active account varies by product and business model. There is no universal standard, so teams must define activity in a way that reflects genuine value delivery.

Common definitions include:

  • Any interaction — logging in, opening the app, or viewing a dashboard

  • Core action — completing a task central to the product's value (e.g., running a report, sending a message, processing a transaction)

  • Threshold-based — a minimum number of sessions or actions within the month

Choosing a meaningful activity definition matters. If you count a login as "active," you may overstate engagement. If you require a core action, your MAA will be lower but more predictive of retention.

Document your definition and apply it consistently. Changing the definition mid-stream makes trend analysis unreliable.

Interpreting trends in Monthly Active Accounts

A rising MAA is a positive signal, but context matters. Ask:

  • Is MAA growing in proportion to total accounts? If total accounts are growing faster than MAA, your activation rate is declining.

  • Are the same accounts active each month, or is there churn within active accounts? High MAA with high account churn indicates a leaky bucket.

  • Is MAA growth driven by new accounts or reactivated ones? Both are valid, but they point to different growth levers.

Segment MAA by plan tier, industry, or account size to identify where engagement is strongest and where it needs support.

Best practices

  • Set a consistent activity definition before tracking MAA, and document it for cross-team alignment.

  • Track MAA alongside MAU to monitor engagement density within accounts.

  • Monitor the MAA-to-total-accounts ratio as an activation rate proxy.

  • Build cohort views — tracking MAA by account sign-up cohort reveals whether newer accounts are engaging as well as older ones.

  • Use MAA as an input to forecasting — active account counts are a leading indicator for renewal and expansion revenue.