Do you actually know which of your AI customers are making you money and which are quietly destroying your gross margin?

In episode #375, Ben Murray breaks down the shape of AI usage and why the distribution curve of your customers determines whether your AI subscription product is profitable. This is why Anthropic and GitHub changed their pricing. Heavy users on a flat subscription can quietly turn a 40% gross margin into a negative one, and most finance teams are not tracking token usage by customer in enough detail to see it coming.

• The three AI usage distribution scenarios every SaaS CFO needs to model: normal, right skew, and left skew, and what each does to your gross margin
• Why a right-skewed distribution means your light users are subsidizing your heavy users, and how to spot when that subsidy stops working
• How a left-skewed distribution can leave 80% of customers unprofitable and drag overall gross margin into the negatives
• Why median, mean, and P90 token usage by customer are now core SaaS finance metrics, not just product analytics
• What finance needs from product and engineering — usage by customer, model mix, input and output token pricing — to run real pricing scenario analysis

Tune in before your next pricing review and find out where your AI margin is actually leaking.

• Ben's AI metrics course with the usage distribution template and free preview: https://www.thesaasacademy.com/ai-finance-metrics-saas
• AI readiness quiz: https://www.thesaasacademy.com/ai-finance-metrics-saas

The pricing model that built the SaaS industry is being replaced in real time. Is your finance team ready for what it does to your core metrics?

In episode #374, Ben Murray breaks down the four SaaS P&L metrics that break when per-seat pricing dies. Public tech leaders are already shifting fast. ServiceNow now drives 50% of net new business from non-seat-based pricing, Workday is reporting hundreds of millions in AI ARR, and GitHub is moving Copilot to usage-based billing. If you are a SaaS CFO or finance leader still modeling on a single blended gross margin, your benchmarks are about to stop working.

• Why the AI product gross margin sits around 52% and how a 30% revenue mix shift can compress your blended margin by 10 to 15 points
• How AI COGS scale directly with product usage, breaking the near-zero incremental cost assumption traditional SaaS finance was built on
• Why one blended LTV no longer works once you have heavy, medium, and light AI usage cohorts, and how to rebuild LTV to CAC by cohort
• How CAC payback period shifts when gross margin is no longer a single number across the customer base
• The new frameworks finance teams need to model hybrid subscription plus usage and outcome-based pricing before the board notices the margin compression

Tune in to get ahead of the pricing shift before your next forecast and board deck go out.

• Ben's blog post on the SaaS pricing revolution: https://www.thesaascfo.com/saas-per-seat-pricing/
• Ben's AI course for SaaS finance leaders: https://www.thesaasacademy.com/ai-finance-metrics-saas

Is per-seat pricing dying a slow death, and is your SaaS expense structure ready for its replacement?

In episode #373, Ben Murray breaks down the shift from per-seat subscriptions to usage and outcome-based pricing, and what it means for your finance org. Bloomberg projects subscription pricing falling from 60% to 30% of SaaS models over the next decade, while outcome-based pricing climbs from 10% to 60%. This is no longer a thesis on a slide. GitHub, Salesforce, Zendesk, Intercom, Figma, HubSpot, and others are already repricing, and public companies are reporting AI ARR in the hundreds of millions. If you cannot answer what your AI margins are when the board asks, you are already behind.

• See exactly how legacy SaaS leaders are repricing, from Zendesk charging per automated resolution to Salesforce billing per AI conversation plus flex credits, and what GitHub's June 1 move to token-based billing signals for the rest of the market.
• Understand why a single bucket of cloud hosting that blends traditional infrastructure with inference spend leaves you blind, and what instrumentation to put in place before budget season.
• Learn the questions your board will ask about AI margins, and how to answer whether low-usage customers are quietly subsidizing your heaviest users.
• Get the case for reconvening your pricing committee now to align product roadmap, AI features, and the expense framework that tracks them.
• Know which AI unit economics to track by revenue stream and by usage bucket so you can defend margin as your pricing model changes in real time.

Listen now and put the tracking framework in place before the AI margin questions land on your desk.

• Ben's blog post: https://www.thesaascfo.com/saas-per-seat-pricing/
• New course on AI unit economics and metrics: https://www.thesaasacademy.com/ai-finance-metrics-saas