Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
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Before discussing how to leave T&M behind, it is worth understanding why it became the default in the first place. T&M pricing is a risk sharing mechanism. The client does not know exactly what the project will require, and the agency does not know exactly how much effort it will take. Rather than negotiating a fixed price that one party will inevitably regret, both sides agree to a rate and let the scope determine the total cost. This feels fair, but from the agency’s perspective it is also a trap.
The trap is that T&M creates a perverse incentive structure. The agency’s revenue increases when projects take longer, which means there is no structural incentive to become more efficient. Worse, the client perceives every hour billed as a cost to be minimized, which creates an adversarial dynamic where the client is constantly scrutinizing utilization and the agency is constantly justifying its time.
T&M also prevents the agency from capturing the value it creates. Consider what happens when our strategy consulting firm conducts a pricing optimization engagement for a $60 million ARR SaaS client. The firm’s analysts spend three weeks gathering competitive pricing data, modeling willingness to pay across segments, building a price sensitivity analysis, and constructing a recommended pricing architecture. A senior partner synthesizes the analysis, pressure tests the assumptions, and presents the recommendation. The total engagement takes 400 hours across the team, billed at a blended rate of $300 per hour (slightly above the firm’s average because the work is partner heavy), for a total project fee of $120,000. The client implements the recommendations, and over the next twelve months, the new pricing architecture generates $4.2 million in incremental annual recurring revenue. The consulting firm captured less than 3 percent of the value it created. The client captured the other 97 percent.
This is not a market failure but a structural consequence of pricing inputs (time) rather than outputs (a pricing architecture) or outcomes (incremental revenue). As long as the delivery mechanism is human labor, pricing inputs is the only model that makes sense, because the firm’s costs are denominated in time. But when the delivery mechanism shifts to agentic AI, that constraint evaporates. The firm finally has the option to price what it produces and what those outputs deliver.
The final reason T&M persists is that it is simple to sell. Enterprise procurement teams understand hours and rates. They can benchmark them against competitors, model them in spreadsheets, and negotiate them down 10 percent and call it a win.
Output and outcome pricing for a service that was previously billed by the hour is unfamiliar, harder to benchmark, and requires a different kind of buyer, one who is thinking about value delivered rather than hours consumed. This is a real obstacle that must be addressed deliberately rather than dismissed.
Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.