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Description

Episode Description

AI is fundamentally changing how SaaS companies should think about pricing. When your software makes teams 70% more efficient, charging per seat means you're literally shrinking your own market. In this conversation, product management veteran Lee Bridges explains why seat-based pricing is a burning platform and what comes next.

Lee, returning to the podcast after five years, recently led a pricing transformation project that forced him to confront an uncomfortable truth: AI-driven efficiency gains directly reduce the number of seats customers need. His solution? Outcome-based pricing that aligns incentives between vendors and customers while future-proofing against AI disruption.

Guest

Lee Bridges - Cheif Product Officer at Inn-Flow, father, audio engineer, and vibe coder who recently completed a major pricing transformation project for a B2B SaaS company in the field service space.

Key Topics Covered

The Seat-Based Pricing Problem

Outcome-Based Pricing Explained

Real-World Implementation

The Future of SaaS and AI

Notable Quotes

"If you create efficiencies that make a process so efficient that some number of people will no longer be necessary... you reduce the number of potential seats. You reduce the Tam."

"If I give you a dollar and you're going to give me $10 back, I'd be insane to not do that as many times as I can."

"You're really expecting everyone on Earth to be a product manager. That's just not going to happen."

"The most people don't have a high level of agency. They don't know what they want, when they want it, and they don't know how to describe it."

Practical Takeaways

  1. Evaluate your pricing model now - If you're charging per seat and building AI features, you're creating a strategic vulnerability
  2. Start with new products - Test outcome-based pricing with new offerings rather than risking existing revenue
  3. Identify measurable outcomes tied to customer revenue - What metrics does your sales team already use when discussing ROI?
  4. Consider hybrid models - Platform fees plus outcome pricing can balance predictability with value alignment
  5. The complexity trade-off - Outcome-based pricing must remain simple enough to avoid litigation-inducing confusion