Are you building a product people like, or one they will actually pay for?

Madhavan Ramanujam, co-founder and general partner at 49 Palms Ventures, joins Ian Bergman to explain why pricing should start before product development and how founders can reach product-market-price fit.

Learn how to test willingness to pay, turn POCs into business cases, price AI around autonomy and attribution, and choose between seat, credit, usage, and outcome-based pricing. Madhavan also explains how to balance market share with wallet share, raise prices without losing sight of value, and why an MVP should focus on what customers value most.

Madhavan’s Books:

Monetizing Innovation: How Smart Companies Design the Product Around the Price

Scaling Innovation: How Smart Companies Architect Profitable Growth

Topics & Timestamps

00:00 Pricing Before Product

06:20 Why Products Fail to Monetize

11:30 Product-Market-Price Fit

13:14 How to Test Willingness to Pay

16:09 POCs Should Prove Business Value

18:34 Pricing AI Around Labor Value

22:48 Why How You Charge Matters

24:20 AI Pricing Models Explained

34:27 Beautifully Simple Pricing

36:15 How to Raise Prices

40:32 Rethinking the MVP

43:00 Four Monetization Failure Modes

44:40 Building 49 Palms Ventures

50:17 Scaling Innovation in the AI Age

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