Principle
A pricing model that charges more as customers succeed sounds well aligned with the customer's own interests. In practice, it frequently produces the opposite outcome: customers who hit a usage threshold see the price jump sharply at the next renewal and immediately begin looking for an exit. Success should deepen a customer relationship over time. In a badly designed usage-based model, it abruptly ends one instead.
Behaviour
Usage-based and tiered pricing models have become popular precisely because they promise to align revenue with value delivered, at least in theory. The failure mode consistently appears at the tier boundaries themselves. A customer growing steadily and organically crosses a usage threshold, triggers a significant, often unbudgeted price increase at the following renewal, and experiences that increase not as a reflection of the value they have received, but as a sudden, jarring cost spike with little or no advance warning built into the commercial relationship.
The commercial team rarely sees this coming, because the customer's usage growth looked, right up until the renewal conversation itself, like an unambiguous success story. The account was expanding. Usage dashboards were green. Everyone internally was pleased with the trajectory. Then the new price hit, procurement got involved for the first time in the relationship's history, and a deal that the account team had been quietly modelling as a guaranteed, low-friction expansion turned, almost overnight, into a full competitive re-evaluation of the vendor relationship.
Success should deepen a customer relationship over time. In a badly designed usage-based model, it abruptly ends one instead.
Evidence
Plot customer renewal outcomes against each customer's proximity to a pricing tier boundary at the time of renewal. Customers renewing just above a tier threshold, where the new, higher tier's pricing has recently begun to apply, should show a materially different churn rate and discount negotiation intensity compared with customers renewing comfortably within the middle of an existing tier, with no boundary crossing involved.
If churn or heavy discount negotiation clusters specifically and repeatedly around customers who crossed a tier boundary in the prior renewal cycle, the pricing architecture itself is generating this risk directly. It is not a symptom of the underlying customer relationship or a weakness in the product. It is a structural artefact of how the pricing model was designed, and it will keep recurring, predictably, at every subsequent tier crossing across the customer base.
Psychology
A customer's finance and procurement function reacts primarily to the rate of change in a cost, not simply to its absolute level. A steady, expected, gradually increasing cost is treated internally as an ordinary budget line item that requires no special scrutiny. A sudden step-function jump, triggered by crossing an unannounced or poorly communicated threshold, is instead treated internally as a vendor risk event, and it activates a formal scrutiny and re-evaluation process that a smoother, more predictable pricing curve would likely never have triggered in the first place.
Account teams, meanwhile, are consistently incentivised to celebrate rising usage as it happens in real time, because usage growth is the standard leading indicator of expansion revenue that gets rewarded internally. Nobody on the commercial side is specifically incentivised to flag, ahead of time, that this same growth is approaching a pricing cliff that will fundamentally change the customer's entire relationship to the cost of the product, until the renewal conversation is already underway.
Commercial Risk
This pattern directly and quietly undermines the very NRR figure that usage-based pricing is specifically designed to inflate in the first place. The expansion revenue captured at the moment a customer crosses a tier boundary is very often partially or fully offset, over a longer horizon of one or two subsequent renewal cycles, by the elevated churn and discount pressure that the same tier crossing subsequently produces once the customer's finance function becomes involved.
An investor evaluating a usage-based pricing model purely on its headline expansion metrics is seeing only the first half of the underlying mechanism. The second half, the renewal cliff itself, typically shows up one or two full renewal cycles later, and in growth-stage assets, that often means the cliff arrives after the acquisition has already closed and the multiple has already been paid.
Investment Committee Note