AI SaaS Pricing Template

Couple of points from Valueships AI team:

1. Usage metrics / Value metrics: What you are charging for - metrics to choose depending on your pricing structure.
2. Cost structure: With AI coming into play, costs and margins are becoming more important. Understanding how margins scale with increased usage will be vital for success.
3. Multi-layered infrastructure: We believe that "good / better / best" models will become less important over time. However, the change will be gradual, starting from your current model and evolving by adding AI features, products, and services to create a multi-layered infrastructure.
4. AI add-ons: Two key points:
   • When introducing AI to your current pricing model, understanding how to monetize it is crucial. The easiest approach is to offer it as an add-on.
   • If you are AI-native, part of your success depends on usability and implementation. Add-ons can support customer onboarding and improve adoption.
5. Hybrid revenue: A multi-layered infrastructure requires robust revenue tracking to ensure financial transparency. Be sure to track exactly what you are charging for.
6. Time-to-value: A critical point if you charge based on outcomes, outputs, or work completed: you only earn revenue when the deliverables are achieved. Ensure you accelerate value delivery to shorten the time-to-value.
7. ROI measurement: While delivering value is essential, it is equally important to ensure your customers recognize and understand the value they receive. Measure and communicate this value to your customers to boost retention.

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If you’d like, I’m happy to walk you through this — let’s hop on a call.

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Krzysztof Szyszkiewicz

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🔺 Pricing Expert, Partner & Co-founder at Valueships

📥 krzysztof_szyszkiewicz@valueships.com

👋  https://www.linkedin.com/in/krzysztof-szyszkiewicz/