Per-seat pricing punishes growth. Here is the per-account alternative
Per-seat pricing feels intuitive at first, pay for each person who gets access, but it creates a specific, compounding problem as a team grows: cost scales directly with headcount, even when actual usage doesn’t scale the same way, which means growth itself becomes something that inflates your software bill regardless of whether that growth translates into proportionally more actual usage.
How per-seat pricing actually plays out as a team scales
Under a per-seat model, adding a new team member to a video platform costs the same whether that person will use it daily or almost never. A team that grows from ten people to thirty, with most of the growth coming from roles that only occasionally touch video content, sees its software cost triple under per-seat pricing, even though the platform’s actual usage volume might grow far more modestly. This mismatch between cost and actual consumption is the core problem with per-seat pricing for a tool like video production, where usage tends to be genuinely uneven across a team rather than evenly distributed.
Why video tool usage is particularly uneven across a team
Unlike some software where most licensed users interact with the tool daily, video production tools often have a smaller core group of frequent creators alongside a much larger group of occasional users, people who might produce a handful of videos a year, or who mainly need viewing and light editing access rather than full production capability. Per-seat pricing treats all of these users identically for billing purposes, which means the cost structure doesn’t reflect the actual shape of how the tool gets used.
What per-account, credit-based pricing does differently
Per-account pricing ties cost to actual usage, credits consumed, minutes of video produced, rather than to the number of people with access to the workspace. This means adding team members who need occasional or light access doesn’t automatically increase cost, and the organization’s bill tracks what’s actually being produced rather than how many people happen to have a login.
Why this matters more as an organization scales
The gap between per-seat and per-account pricing widens as an organization grows, since a larger organization typically has an even wider spread between heavy users and occasional users than a smaller one does. A ten-person team might have relatively even usage across everyone, limiting the practical difference between pricing models. A five-hundred-person organization, with video production concentrated in specific teams while broader access is useful for many more people, sees a much larger divergence between what per-seat pricing would cost and what actual usage-based cost would be.
What to watch for in either pricing model
Under per-seat pricing: confirm exactly what counts as a “seat,” some vendors count any account with login access, even rarely used ones, while others distinguish between active and inactive seats in ways that affect actual cost.
Under per-account pricing: confirm what happens when usage genuinely does scale up, understand the tier structure and at what usage level cost increases, so you’re not surprised by a jump in your bill as actual production volume grows.
Why per-account pricing also simplifies procurement and access decisions
A secondary benefit of per-account, usage-based pricing is that it removes a specific kind of internal friction: deciding whether a given person “deserves” a seat, weighing whether their expected usage justifies the incremental per-seat cost. Under a usage-based model, adding someone who might use the platform lightly or occasionally isn’t a cost decision at all, which tends to result in broader, more natural access across a team rather than artificially restricted access driven by a per-seat cost calculation.
Why per-seat pricing persists despite this mismatch
If per-seat pricing creates this kind of growth penalty, it’s worth asking why so many software categories still use it. The honest answer is that per-seat pricing is simpler to explain and predict for vendors, and it aligns well with software where usage genuinely is fairly even across every licensed user, a project management tool everyone checks daily, for instance. The mismatch specifically shows up for tools like video production, where usage is naturally concentrated among a smaller group of frequent creators alongside a much larger group of occasional or light users, a usage pattern per-seat pricing wasn’t really designed to reflect accurately.
What this looks like for a growing GTM or enablement team specifically
Consider a sales enablement team that starts with a handful of dedicated content creators and gradually wants to give broader access to individual reps who occasionally want to customize a piece of content for a specific deal. Under per-seat pricing, this expansion directly and immediately increases cost with every rep added, creating pressure to restrict access artificially. Under per-account, usage-based pricing, this kind of broader access can expand naturally, with cost continuing to track actual production volume rather than the number of people who technically have access.
Velo’s approach: per-account, credit-based pricing
Velo prices per account using a credit-based system, 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 with custom credits and seats, rather than charging per individual seat. This ties cost to actual usage as your team and production volume grow, rather than penalizing broader access with a direct per-person cost increase.
How to actually model this comparison for your own team
Rather than comparing pricing models abstractly, build a simple projection using your own team’s actual, or reasonably expected, usage pattern: how many people would need some level of access, roughly how much each group, heavy users, occasional users, would actually produce, and what each pricing model would cost at your current size and at a reasonably projected future size. This concrete exercise, using your own numbers rather than general reasoning about pricing models, is what actually reveals which structure fits your specific situation best.
Weigh growth cost, not just today’s cost
When comparing pricing models, don’t just compare today’s cost at today’s team size, model out what each pricing structure would cost as your team and usage actually grow, since that’s where the real difference between per-seat and per-account pricing shows up most clearly, often only becoming visible once you actually run the numbers rather than compare the two models in the abstract.
Revisiting the model as your team’s shape actually changes
Treat this projection as a living exercise rather than a one-time calculation done at the point of purchase. As your team’s actual composition shifts, more occasional users added, usage patterns among existing users changing, it’s worth rerunning the comparison periodically to confirm the pricing model you originally chose still fits how the organization actually uses the platform today, rather than assuming the original analysis remains accurate indefinitely as the team evolves.
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Related reading
- Free plan or paid trial? What to know before you commit to AI video software
- AI video tools with a genuine free plan, compared
- The free plan fine print: what usually gets capped
- What shared billing actually fixes: usage nobody can attribute across teams
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