Upsell Users
Number of existing, active customers whose seat count increased during a period — the headcount of accounts that expanded, regardless of dollars.
◆ Count
Formula
Built from
What it measures
Upsell Users counts distinct existing customers (prior seat count > 0) whose seat count is higher at period end than at period start. Each customer is counted once per period no matter how many times their seats changed, and only a net increase qualifies — a customer going 5 → 10 → 7 in one month records zero. It is a headcount, not a dollar amount: a 1-seat add and a 100-seat add each count as one.
Why it matters
Upsell Users tells you how many of your customers are expanding, independent of how much revenue each upgrade is worth. You use it to judge whether you have a real expansion engine or a handful of big accounts masking a flat base. Product and CS teams read it as an adoption signal; leadership reads it as a leading indicator of retention and lifetime value, since customers who expand tend to stay longer. Paired with Upsell MRR, it separates "many small expansions" from "a few large ones" — two very different growth stories.
How to read it
Read Upsell Users as a trend, never a single snapshot. Compare this period to the prior period and normalize against your active base (Upsell Users ÷ Total Users) so the rate isn't flattered by base growth. Cross-read it against Upsell MRR: if Upsell Users rise while Upsell MRR stays flat, your expansions are small; if Upsell Users are flat while Upsell MRR grows, fewer accounts are adding many seats. Segment by cohort, plan, or feature adoption to find where expansion concentrates, then mine those accounts' behavior to guide roadmap and packaging.
What good looks like
Good
Upsell Users rising month-over-month as a share of the active base, with expansion spread across many accounts rather than a few — a sign of broad product adoption and willingness to pay more.
Watch
Upsell Users flat or slipping as a percentage of the base, or increasingly concentrated in a handful of accounts — the expansion engine is stalling or fragile.
Bad
Upsell Users negligible or shrinking, with growth leaning entirely on new acquisition — a signal of a product ceiling, pricing misalignment, or competitive pressure.
Watch-outs
- Counting the same customer multiple times across upgrades in one period. Count only the net position at period-end — one customer, one count, regardless of how many seat changes they made.
- Including reactivations or brand-new accounts. A customer activating with 10 seats (prior seats = 0) is a New User, not an Upsell User. Upsell Users must have had seats before the increase.
- Summing months into an annual figure without deduplicating. A customer who upgrades in June and again in July counts in both months — adding them up double-counts the account. Use distinct cohorts for annual rates.
- Conflating seat changes with tier or price changes. A customer moving from 50 Standard seats to 30 Premium seats may be a revenue upsell but a seat downsell. Decide explicitly whether you're counting seats, revenue, or both.
Worked example
Hypothetical
Your platform has 150 active customers in June. During June, 18 existing customers end the month with more seats than they started: Company A goes 50 → 60, Company B 15 → 25, Company C 8 → 10, and 15 others each add 1–10 seats. Your June Upsell Users = 18. Separately, 3 brand-new companies activate (New Users = 3) and 5 cancel entirely (Churned Users = 5) — neither counts here.
Variants & windows
The same metric re-expressed by a mechanical transform — a trailing window, a growth rate, a per-unit scaling, or a book/segment cut. Each is computed from Upsell Users above.
- New Contracted Users from Upsell Expansion · Contracted book
- New Live Users from Upsell Expansion