How to Price & Position AI Products: The Fundamentals

Explore the pricing framework of value, cost, and price, and how the gaps between them create consumer surplus and margin. Learn to balance price to motivate customers and your business.

Clarify value, cost, and price to anchor pricing decisions. Explain how markup, consumer surplus, and margin shape sustainable pricing and avoid underpricing or overpricing.

Set price below value to generate consumer surplus that attracts buyers and motivates purchases. Protect margins to sustain the business, fund product development, and enable discounts, marketing, and growth.

Pricing missteps harm profits and demand; underpricing erodes margins and may require external funding, while overpricing erases consumer surplus and stalls sales when value doesn't justify cost.

Connect your market position to pricing strategy by examining price sensitivity, from low to high, and explore pricing approaches that fit where customers fall on that spectrum.

Explore how price sensitivity shapes pricing options, from highly price-conscious customers to value-driven buyers, and apply the Blue Ocean concept to create a unique market offering.

Explore the purple ocean of price sensitivity, where rising competition coexists with differentiation, as customers compare options but still value unique features, brand, and approach in pricing AI products.

Identify the red ocean in crowded markets where price sensitivity is high and offerings seem interchangeable, and learn how competition-based pricing constrains your price to rivals.

Master fundamental pricing strategies: value-based, cost-based, and competition-based pricing as the core. Learn advanced tactics like market penetration, loss-leader, and dynamic pricing that build on the foundations.

Price AI products by value delivered to customers, not by cost to produce. Quantify value, set prices near the value ceiling, and leverage blue ocean opportunities.

Cost-based pricing starts with costs, adds a markup to set price, and keeps you profitable and competitive in Purple Ocean where differentiation matters and price sensitivity sits mid-range.

Set prices at or below competitors' levels to compete in a red ocean where price is the primary decision factor, while understanding costs and value to maintain margins.

Apply the bottom-up approach to price your AI product by valuing the job to be done, estimating effort with a work breakdown structure, and setting value-based, cost-based, or competition-based price.

Combine value modeling with jobs-to-be-done to price AI by the job's cost. A social media AI agent handling 80% of a content manager's tasks could deliver about $80,000 in value.

Apply bottom-up method using a work breakdown structure to estimate ai product effort and cost. Break the project into tasks, assign rates, and sum labor plus infrastructure costs for pricing.

Master the three fundamental pricing approaches - value-based pricing, cost-based pricing, and competition-based pricing - plus overview of advanced strategies like market penetration, loss-leader, and dynamic pricing.

Learn how to model value and costs for pricing AI products, using a pricing thermometer, automation levels, salary-based costs, a 10% contingency, and computing price, gross profit, and customer surplus.

Learn to turn your value model into a selling tool that frames investment, not cost, showing a 10x ROI and guiding discovery, value mapping, and co-design to close deals.