• views: 131
• date: 17 January 2026
• posted by: AD-TEAM

A practical guide to AI product pricing, cost modelling, market dynamics, value selling, and real examples you can apply

What you'll learn
- Value, cost, and price fundamentals
- Blue/Purple/Red Oceans price sensitivity
- Value-based, cost-based, competition-based strategies
- Value modelling with real examples
- Bottom-up cost models
- Work Breakdown Structures
- Financial modelling for pricing
- Value Model for Value-Selling

Requirements
- No prior pricing experience needed. All frameworks are taught from first principles.
- Basic familiarity with AI products, SaaS tools, or digital products is helpful but not required.
- Access to a spreadsheet tool (Excel, Google Sheets, etc.) for simple financial modelling exercises.
- An interest in understanding how businesses set and optimize prices for AI-driven products.

Description
Welcome to How to Price AI Products: The Fundamentals

Thank you for joining. Pricing is one of those things that seems straightforward, until you actually have to do it.You've built an AI product that solves a real problem, but when someone asks "what do you charge for it?" the answer isn't so clear.

This course will give you a structured framework to answer that question with confidence—using real numbers instead of guesswork.

What You'll Learn

You'll explore the relationship between value, cost, and price, and how your market position (Blue, Purple, or Red Ocean) shapes which pricing strategies actually work. Then we'll get practical:

Calculate Valueusing the Jobs-To-Be-Done (JTBD) framework to quantify what your AI is worth

Estimate Costsfrom the bottom up using Work Breakdown Structure methodology

Build Financial Modelsthat show your pricing options clearly

Turn Your Pricing into Salesusing value selling techniques that help customers see the ROI

By the end, you'll have a complete toolkit: a value model template, WBS framework, financial pricing model, and value selling approach you can apply directly to your own product.

How to Get the Most Value

This course is designed to be practical and actionable. Feel free to pause, work through the exercises with your actual product, and revisit sections as needed. The framework works best when you apply it to something real.

If you have questions along the way, post in the Q&A—I'm here to help.

Beyond the Fundamentals

The fundamentals we cover will handle most pricing situations. But if you encounter trickier scenarios—penetration pricing, product bundles, loss leader strategies—I've createdHow to Price & Position AI Products: The Masterclassas a follow-up. You'll find it in the course catalog when you're ready to go deeper.

Need Personalized Support?

If your project would benefit from hands-on guidance—pricing reviews, custom value modeling, cost analysis, or AI product strategy—I also offer consulting services. Reach out anytime at [your contact details].

Start with what you learn here. Pick an AI product you're working on, build the value model, map the costs, and run the numbers. See what price comes out.

Good luck with your pricing.

Arsedian Ivan

Who this course is for:
- Product Managers building or managing AI features and needing structured pricing frameworks.
- Startup Founders & Entrepreneurs looking to price their AI products confidently and competitively.
- AI Engineers & Builders who want to understand the business and monetization side of AI.
- Business Analysts & Strategists involved in evaluating AI value, market positioning, or competitive pricing.
- Marketing & Growth Professionals wanting to align pricing with market demand and customer value.
- Anyone looking to learn a practical, real-world approach to pricing AI products using proven models and real examples.
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