12 Steps to Creating an Outcome-based Pricing Plan

Everyone says seat-based pricing is dead, but do you actually have an outcome you can charge for?

In episode #377, Ben Murray breaks down the 12 steps to building an outcome-based pricing plan, drawn from analyzing real, live outcome-based pricing pages and the fine print buried in their terms and conditions. Outcome pricing is complex to design and even harder for customers to understand: when are they charged, and where is the failure point at which they aren't? For SaaS founders and CFOs weighing a move to outcome- or agentic-AI pricing, getting the unit, success criteria, and spend controls right is the difference between a model customers trust and one that creates budget anxiety and billing disputes.

  • How to decide whether you even have a billable outcome, and why a completed customer result is not the same as an activity.
  • How to define the outcome unit and write success criteria twice, with real examples from Intercom's Fin, Help Scout's AI Answers, and Zendesk's 72-hour resolution window.
  • Why failure forgiveness is a conversion tool, not just billing logic, and how measurement windows protect you from outcomes that unravel later.
  • How to choose your commercial structure, anchor price to labor savings, revenue, or risk avoidance, and plan for the training lag before charges begin.
  • Why spend controls and auditable billing events are non-negotiable, and how to know when outcome pricing is the wrong model entirely.

Tune in for the full framework, then grab the deep-dive blog post before you design your next AI pricing plan.

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