The ongoing debate around B2B pricing strategies has intensified in light of AI advancement. No universal solution exists across usage-based, per-seat, or outcome-based models — and anyone claiming otherwise is oversimplifying. The core principle remains constant: align pricing with the unit most closely tied to the value your product delivers.
Usage (Consumption)
Usage-based pricing excels at closing initial deals and enabling organic expansion. When customers only pay for what they use, the barrier to entry drops significantly, and expansion revenue flows naturally as adoption grows.
However, this model creates real forecasting challenges due to unpredictable consumption patterns. Revenue can swing dramatically month to month, making it difficult to project growth with confidence. One practical mitigation: consider selling annual usage blocks to smooth fluctuations and provide both sides with predictability.
There's also a segmentation challenge that many companies overlook. High-value, low-quantity users differ fundamentally from low-value, high-quantity users. A single pricing tier rarely serves both well. Companies must tailor their SKUs accordingly — offering different packaging that aligns the price-to-value ratio for each segment.
Users (Per-Seat)
Despite growing skepticism, per-seat pricing remains straightforward and predictable. Headcount is measurable, budget planning is simple, and the value alignment is clear: more people using the product means more value being extracted.
Much of the negativity around per-seat models stems from two factors. First, AI job displacement concerns have created a narrative that headcount will shrink, making per-seat pricing a losing bet. Second, many companies are still working through three-year contracts signed in 2021 during the expansion era, when teams were larger and budgets were looser.
At Aircover, we believe AI amplifies business output rather than replacing people, which actually necessitates larger teams to capitalize on the increased capacity. Salesforce's decision to hire 1,000 additional salespeople specifically to sell their AI products reinforces this view — the companies closest to the AI revolution are investing in more human capital, not less.
The most effective approach often combines per-seat pricing with usage or outcome-based components. The seat license provides a predictable base, while the variable component captures additional value as usage scales.
Outcome (Results)
Outcome-based pricing appeals theoretically because it perfectly aligns vendor incentives with customer success. If the customer wins, you win. Simple.
In practice, however, this model presents significant implementation obstacles. Even with demonstrable revenue impact — say, a clear correlation between your product and a measurable increase in sales — customers may attribute success to other factors: a new hire, a market shift, a competing initiative. Attribution in complex B2B environments is notoriously difficult.
There's also the CFO rotation risk. New CFOs are brought in to scrutinize the P&L, and expensive line items get targeted regardless of the value they deliver. The strategic recommendation here: "Be the second most expensive item on the P&L." You want to be significant enough to matter but not so prominent that you become the first target in a cost-cutting exercise.
For most companies, combining outcome-based pricing with a usage component provides the best balance — a lower base tied to consumption, with upside tied to results.
Conclusion
Effective pricing requires flexibility above all else. The companies that win are those that align their pricing with how customers perceive and measure value, rather than chasing whatever pricing model happens to be trending in the market.
There is no single right answer. Usage, per-seat, and outcome-based models each have legitimate strengths and real limitations. The best approach is often a hybrid that combines elements of multiple models, tailored to your specific product, market, and customer base. Stronger value alignment — regardless of the mechanism — produces superior results every time.