Total Users
The count of all active, billable user seats or subscriptions at the close of a period — a point-in-time headcount of your user base.
◆ Count
Formula
Built from
What it measures
The sum of every active, billable seat or subscription at a point in time, built as a waterfall: prior balance plus inflows (new-logo seats and expansion seats) minus outflows (churned and downgraded seats). Suspended seats, trial-only accounts, and read-only licenses are excluded unless they consume a billable seat.
Why it matters
Total Users is the depth gauge of your user base. Total Logos tells you how many customers you have; Total Users tells you how deeply each one has adopted you. You use it to measure the velocity of seat-based expansion — the hallmark of strong land-and-expand. Boards watch it because users rising faster than logos signals existing customers expanding, a sign of product stickiness. Finance pairs it with ARPU to model seat-pricing unit economics and forecast revenue.
How to read it
Read Total Users against Total Logos, never alone. Divide users by logos to get average adoption: 4,000 users over 1,000 logos is 4 seats per customer. If users grow 20% while logos grow 5%, your existing base is expanding; if logos grow faster than users, you're landing customers at thin seat counts and land-and-expand is weak. Always break the move into its components — flat Total Users can hide a large new-user inflow masking an equally large churn base. Pair with ARPU: rising users with falling ARPU means you're expanding into lower-value seats.
What good looks like
Good
Total Users grow month-over-month as new logos land and existing customers add seats; growth tracks with new acquisition and expansion together.
Watch
Total Users plateau or grow slower than logos acquired, suggesting weak per-customer adoption or limited seat expansion.
Bad
Total Users shrink or stagnate while you keep onboarding customers, signaling churn of existing seats or thin initial seat deployment per account.
Watch-outs
- Counting trial users or suspended licenses. Total Users counts active, billable seats only. Include trials or frozen licenses and you overstate your base, inflate ARPU, and misdiagnose growth.
- Treating the snapshot as an average. Period-end Total Users will not equal the average of daily counts when there is churn or expansion mid-month. Always use period-end for consistency; if you need an average, label it explicitly and compute it the same way every month.
- Defining a 'seat' inconsistently. If you sometimes count read-only or pooled access and sometimes don't, the metric drifts and month-to-month comparisons break. Lock the definition: a billable, active assignment at period end.
- Ignoring the component mix. Total Users can rise while per-customer adoption falls — landing new logos at 1–2 seats while losing high-seat accounts to churn. Always read New, Upsell, Churned, and Downgraded Users together.
Worked example
Hypothetical
Open January at 2,500 users across 500 logos. You land 20 new customers averaging 3 seats each (+60), existing customers add 40 expansion seats (+40), two customers churn taking 8 seats (−8), and one downgrades from 5 to 3 seats (−2). Closing Total Users is 2,590.