Growth Rate Contracted Users
The period-over-period percentage change in your total contracted user pool, from opening balance to closing balance.
◆ Percentage
Formula
Built from
What it measures
The percentage velocity of your contracted user pool, divorced from absolute headcount. It captures how fast the forward-looking user commitment — seats signed under active contracts but not necessarily yet active in the product — is expanding or contracting between two period-end snapshots. Because Total Contracted Users already nets new signings and upsells against expected churn and downgrades, GRCU tells you whether your future active user base is set to accelerate or decelerate, not how many live users you have today.
Why it matters
You track GRCU because it is the earliest signal of future active user growth. A spike in contracted users this month foreshadows higher active users in coming months, once those contracts activate. Operations and product teams use it to forecast seat demand and plan support, infrastructure, and onboarding capacity ahead of the curve — if GRCU is slowing, active user growth typically softens shortly after. Finance and boards scrutinize it because it reveals the velocity of user commitments before they show up in usage: a company with flat active users but accelerating GRCU is poised to re-accelerate, while flat or negative GRCU is a leading indicator of pressure on the user base and weakening sales execution or retention.
How to read it
Read GRCU as a trend, never a single snapshot — compare this period to the prior one, to your plan, and to your stage. Positive GRCU means new seats and upsells are outrunning downgrades and churn; flat or negative means the leaks are winning. The most useful comparison is GRCU against your active user growth rate: GRCU running ahead signals a healthy pipeline feeding into future active users, while GRCU running behind signals fewer new signings and tightening conditions that will show up in active users later. Decompose any move into new contracted users, upsell seats, and expected churn to diagnose the driver. Negative GRCU is a warning to investigate whether churn expectations are rising, retention is slipping, or deal sizes are shrinking.
What good looks like
Good
GRCU is positive and steady or rising, with new and upsell seats clearly outrunning downgrades and churn, and GRCU tracking at or slightly ahead of active user growth.
Watch
GRCU is slowing toward flat, growth is leaning on one or two large multi-seat deals, or churn expectations are creeping up inside the contracted pool.
Bad
GRCU is negative — new user commitments are no longer keeping pace with attrition and downgrades, signaling future pressure on the active user base.
Watch-outs
- Confusing GRCU with active user churn. GRCU measures the percentage change in signed user commitments; active user churn measures the share of live users lost. High GRCU alongside rising churn means new signings are strong but existing-customer retention is at risk — both can be true at once.
- Ignoring churn expectations baked into TCU. Total Contracted Users already nets out expected future churn and downgrades, so a flat GRCU can mask strong underlying new bookings that are being offset by higher expected attrition. Decompose before you conclude bookings are weak.
- Forgetting the activation lag. Contracted user growth precedes active user growth by the average contract start delay. Don't panic when GRCU grows but active users are flat — instead, verify the pipeline activates on schedule.
- Reading a single noisy period. GRCU is sensitive to deal timing and batch size: one large multi-seat contract creates a spike that normalizes the next period. Use a rolling window or compare cohort-by-cohort to smooth the noise.
Worked example
Hypothetical
You close March with 5,000 contracted users. In April you sign 1,200 new seats and add 300 upsell seats, but downgrade revisions remove 200 and churn expectations remove 100. Closing April TCU is 5,000 + 1,200 + 300 − 200 − 100 = 6,200 users, so GRCU for April is (6,200 − 5,000) ÷ 5,000 = 24%.