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Pricing AI Software Products: A Practical Guide for Startups and Enterprises in the Post-SaaS Era
Unlock the full potential of AI software products with the most comprehensive guide on AI pricing strategies in the market today. Pricing AI Software Products delves deep into the challenges and opportunities of adopting new monetization models as businesses transition from SaaS to AI-native ecosystems. Tailored for startup founders, business executives, and industry professionals, this book provides actionable insights, practical frameworks, and real-world case studies to help you navigate the complexities of pricing AI software.
In this guide, you'll learn:
The fundamentals of software pricing models, including cost-plus, tiered, usage-based, and outcome-based pricing. The pitfalls of traditional per user pricing and how AI disrupts standard monetization methods. How pricing shapes what your business can achieve, influencing growth, innovation, and scalability. Emerging AI pricing models, from token-based to dynamic pricing, and how they unlock new business potential. Practical strategies for both legacy incumbents transitioning from SaaS and AI-native startups. Real-world examples from industry leaders help you judge your pricing approach's success.
Whether you're in the early stages of launching an AI product or you're an established enterprise looking to pivot, this guide offers the knowledge and tools you need to build a profitable, scalable AI pricing model that aligns with your business goals.
Pricing AI Software Products is your roadmap to mastering the economics of AI, reducing costs, and capturing new revenue opportunities.
