Monetizing AI: Comparing Pricing Models and Monetization Strategies

As Generative AI (GenAI) becomes integral to modern products and services, technology companies face major challenges in effectively monetizing it.

Should AI be part of your core offering, offered as an add-on, or provided as a standalone product? How can software producers leverage statistical experiments to test pricing hypotheses and assess the impact on revenue growth?

Join innovation coach Tristan Kromer (Founder & CEO, Kromatic) alongside Revenera’s Alex Rybak and Paul Bland as they share practical insights on evaluating different pricing models, estimating costs, and developing strategies to ensure AI capabilities drive profitability.

Key Takeaways:

• Pricing AI Features: Learn how to compare consumption models, usage-based costs, and various pricing strategies.
• Experimentation Strategies: See how to run statistical experiments to compare monetization models.
• Billing and Access Models: Gain insights into supplementing base subscriptions with pay-per-use options, and offering free initial access versus direct payments for AI capabilities.

Register now to get the latest insights and keep your business ahead of the curve.