Per-seat pricing, answered: when it stops making sense
Per-seat pricing isn’t inherently a bad model, it’s simple, predictable, and works fine for plenty of software categories. But for a specific, common pattern of usage, it stops making financial sense at a fairly identifiable point, and this is a direct look at when that happens and what the alternative looks like.
The short answer
Per-seat pricing stops making sense once your team’s usage becomes meaningfully uneven, a smaller group of frequent, heavy users alongside a larger group of people who touch the tool only occasionally. At that point, you’re paying the same per-person rate for wildly different amounts of actual use, and the total bill starts tracking headcount far more than it tracks what’s actually being produced.
Why this happens gradually, not all at once
Most teams don’t start out with uneven usage. A small pilot group, often the people who requested the tool in the first place, tends to use it fairly consistently, which is exactly why per-seat pricing rarely raises concerns early on. The mismatch develops as the tool spreads beyond that original group, as more occasional users get added for narrower, less frequent use cases. This is a gradual shift, which is part of why it’s easy to miss until the total bill has already grown considerably larger than the actual usage would justify.
A rough signal worth watching for
One practical signal worth tracking: if you can identify a meaningful share of your licensed seats that log in only rarely, once a quarter or less, that’s a fairly strong indicator that per-seat pricing is charging you a premium for access that isn’t translating into proportional value. This doesn’t necessarily mean those occasional users shouldn’t have access, it means the pricing model is charging full price for something closer to occasional, lightweight use.
Why this matters more for some tools than others
Software where usage genuinely is fairly consistent across every user, a messaging or project management tool that most people check daily, doesn’t run into this problem in the same way, since usage and headcount roughly track together. Tools with naturally concentrated usage, video production being a clear example, where a smaller group of frequent creators sits alongside a much larger group of occasional users, are exactly where this mismatch tends to show up most clearly and most expensively.
What to do once you’ve identified the mismatch
Once you’ve confirmed that your usage pattern is genuinely uneven, the practical options are: negotiate a different pricing structure with your current vendor if one is available, restrict seats more aggressively to just the frequent users, which sacrifices the broader access that’s often genuinely valuable, or move to a usage-based alternative that ties cost to actual consumption instead. The first two options are workarounds within a pricing model that doesn’t fit your usage pattern. The third addresses the underlying mismatch directly.
What a usage-based alternative actually changes
A usage-based or per-account model ties cost to what’s actually produced, credits or minutes, rather than to how many people have a login. This means adding an occasional user, someone who’ll create a handful of videos a year rather than dozens a month, doesn’t meaningfully move your total cost, since their light usage simply doesn’t consume much of the usage pool. This removes the specific tension of per-seat pricing, where every additional person with access adds a fixed cost regardless of how much they’ll actually use the tool.
Why this shift also changes internal access decisions
Beyond the direct cost difference, moving to usage-based pricing tends to change how teams think about who gets access in the first place. Under per-seat pricing, adding someone is a cost decision, does this person’s expected usage justify their seat cost, which naturally leads to more restricted, gatekept access. Under usage-based pricing, that calculation mostly disappears, and teams tend to extend access more broadly and naturally, since an occasional user barely affects the total bill either way.
A practical way to check where your own team stands
Pull a usage report from your current tool, if it offers one, and look at the distribution of activity across your licensed seats. If a small percentage of seats account for the large majority of actual usage, you’re looking at exactly the pattern where per-seat pricing has likely stopped making financial sense, and it’s worth running the comparison against a usage-based alternative with your own real numbers rather than relying on a general sense of whether the current pricing still feels fair.
What switching actually involves in practice
Moving from a per-seat vendor to a usage-based one, or negotiating a usage-based structure with your current vendor, isn’t purely a pricing conversation, it usually touches procurement, finance, and whoever owns the vendor relationship internally. Build the case with actual numbers rather than a general sense that the current model feels expensive: pull your usage distribution, model what a usage-based alternative would cost against that same real activity, and use that concrete comparison to make the case, since a specific number is considerably more persuasive internally than a general complaint about seat cost.
Why this conversation is easier to have earlier than later
The longer an organization operates under a per-seat model that doesn’t fit its actual usage pattern, the more seats accumulate and the harder the eventual comparison and potential switch becomes, simply because more people, more workflows, and more internal habits have formed around the existing setup. Raising this question while the mismatch is still relatively contained, before it’s spread across dozens of teams and hundreds of seats, tends to be a considerably smaller lift than revisiting it after the pattern has fully set in across a much larger organization.
Velo’s approach
Velo prices per account using a credit-based system tied to actual usage, Free at 1,500 credits per month, Pro at $49 per month with 3,000 credits, Ultra at $200 per month with 30,000 credits, and custom Enterprise pricing, rather than charging per individual seat. This means broader access across a team doesn’t come with a direct per-person cost penalty as usage patterns naturally become more uneven with scale, which is exactly the mismatch a per-seat structure struggles to accommodate gracefully as a team grows past its original core group of users.
The bottom line
Per-seat pricing works fine until your team’s usage stops being evenly distributed, and for a tool like video production, that point tends to arrive sooner than most teams expect. If you’re seeing a meaningful gap between how many seats you’re paying for and how many people are actually using the tool regularly, that’s the specific signal worth acting on, whether that means negotiating, restricting access, or switching to a model that actually reflects how your team uses the platform, and worth revisiting on a regular cadence rather than treating it as a decision made once and never checked again.
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Related reading
- Per-account vs. per-seat: what each model actually costs at scale
- Video platforms that skip per-seat pricing entirely
- Per-seat pricing creeping into a tool that promised it would not
- Budget-friendly AI video tools, without the feature cuts
About the author
Ritu Parakh is Growth Lead at Velo, the AI video messaging platform that turns a screen recording, a deck, or a URL into a polished, narrated video - and an editable written doc. She writes about video for demos, onboarding, training, and enablement. Connect on LinkedIn