
Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
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The access fee is the simplest of the three. It is a modest monthly retainer, typically $3,000 to $8,000 per month, that gives the client three things: dashboard access to the harness, a defined response time for ad hoc questions, and right of first call on partner judgment. Some clients want this baseline relationship as a foundation, even if they don’t plan to consume much in any given month.
The access fee is not where the firm makes its money. Twelve clients at $5,000 per month is $720,000 per year, meaningful but not transformative. The reason to offer it is psychological and operational. Psychologically, it signals a relationship rather than a transaction. It lowers the friction of triggering the next analysis (the client has already paid, so why not use what they are paying for?). Operationally, it provides a predictable recurring revenue baseline that pays for harness availability and gives the firm visibility into client engagement patterns.
The access fee is the only piece of the new pricing architecture that looks anything like a subscription. Treat it as the foundation, not the building.
The main story is consumption. The firm defines a catalog of discrete outputs the harness can produce, each with a fixed price. The client purchases units of work as they need them.
For the strategy firm, the catalog might include:
Competitive landscape analysis (one competitive set, current snapshot): $5,000
Competitive landscape monitoring (quarterly update for one set): $3,000 per update
Pricing scenario model with sensitivity analysis: $12,000
Customer segmentation analysis (based on provided data): $15,000
Market sizing study for one segment: $10,000
Win/loss analysis (50 deals): $8,000
Pricing optimization engagement (full): $80,000 to $150,000 depending on scope
Board ready strategic recommendation deck: $25,000
Each output has a fixed price, a defined scope, and a published turnaround time. The client knows what they will get and what they will pay. The firm knows what the unit cost is and what margin it earns on each output. This differs from T&M, but not because the price level is different. A $12,000 pricing scenario model might cost roughly the same under hourly billing. The difference is that the unit of price is now the output, not the input. The client buys results, not hours. The firm captures a margin on each result, not on each hour worked.
The economics work because the agentic harness has reduced the marginal cost of each output to a small fraction of its price. A pricing scenario model that used to consume 40 analyst hours now consumes 3 hours of compute (perhaps $30 in inference costs) and 1 hour of partner review. The firm can charge $12,000 and earn 90 percent margin on the production work, with the partner review hour providing the judgment quality the client is paying for.
The catalog is a living product line. New outputs get added as the harness develops new capabilities; existing outputs get repriced based on observed cost and demonstrated value. Like any product line, it requires deliberate management.
Consumption pricing has three practical advantages over a flat subscription. First, it scales naturally with client value. A client who needs a lot of analytical horsepower in a quarter pays for it; a client who is in a steady state period pays less. The price matches the use. Second, it lowers the barrier to entry. A new client doesn’t need to commit to a $300,000 annual subscription to try the firm; they can buy a single $12,000 output. Third, it lets clients self direct. The VP of Strategy who needs an answer doesn’t need to negotiate a new engagement; they pull the relevant output from the catalog.
The disadvantage is that consumption revenue is more variable than subscription revenue at the individual client level. Some months are bigger than others. The firm manages this through portfolio breadth (many clients consuming concurrently smooths the variance) and through demand forecasting based on observed usage patterns.
Outcome pricing is where price aligns most fully with value. The firm’s fee is tied to the result. If the firm’s recommendations produce the expected business impact, the firm captures a share of that impact. If they don’t, the firm earns the base fee but not the success fee.
For the strategy firm, outcome arrangements might look like:
Pricing optimization engagement: $50,000 base + 5 percent of incremental ARR from implemented pricing changes, measured at month 12, capped at $300,000
Packaging redesign: $30,000 base + 3 percent of incremental upsell revenue from the new packaging, measured over 12 months
Win rate improvement: $40,000 base + $20,000 per percentage point improvement in win rate, capped at $200,000
Renewal retention program: 10 percent of retained revenue versus baseline, measured at end of renewal cycle
Recall the example from earlier in the chapter: a $120,000 pricing engagement that generated $4.2 million in incremental ARR for the client. Under outcome pricing at the terms above, the same engagement would have generated $50,000 base plus $210,000 in success fees, for a total firm capture of $260,000, more than double the T&M fee and now structurally aligned with the value created. The firm goes from capturing less than 3 percent of value created to capturing roughly 6 percent, still a small fraction of the total value but a meaningful improvement, one that grows over time as outcome terms can be tightened with better data.
Outcome pricing is the apex of the pricing architecture because it most fully aligns the firm’s interests with the client’s. It is also the hardest to reach. There are four structural reasons.
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