Seat-based pricing is under intense pressure.
AI agents generate far more output than human users on the same license terms. As agentic usage scales, you're facing rising infrastructure costs while struggling to monetize the additional value customers are getting. The gap between what customers pay and what they consume is getting harder to ignore.
You've got real-time usage data showing exactly how customers engage with your product. You just don't have a framework to turn that into a pricing strategy that works.
This session with Revenera shows you how to fix that.
Join Ravi Trivedi and Erce "Urge" Kose to see how product and monetization teams use usage data to build hybrid pricing strategies — combining predictable subscription revenue with flexible, consumption-based models that scale with AI agents and agentic usage.
What you'll walk away with:
- How to identify which usage signals matter for pricing decisions and which ones are just noise
- How to structure token-based models that let customers handle peak capacity bursts without forcing them into permanently higher tiers
- How to build hybrid strategies that combine subscription stability with consumption flexibility
- How to use consumption insights to spot trial accounts likely to convert and identify churn risks before they cancel
- How to extend token models beyond single products into portfolio-wide monetization
This one's for you if:
- Your pricing feels disconnected from actual product usage and you're hearing complaints about it
- You've got usage telemetry but don't know how to translate it into a pricing model that makes sense
- You're exploring consumption or token-based pricing but worried about creating revenue volatility
- Leadership is asking whether your pricing structure matches customer value and you don't have a clear answer
- You want to see what hybrid monetization looks like in production, not just theory
Meet the experts
Ravi Trivedi, Senior Product Manager, Revenera
Ravi builds product strategy for software monetization at Revenera. He helps teams figure out which usage signals drive pricing decisions, how to structure hybrid models, and how to move from seat-based pricing to consumption models that match actual customer value.
Erce "Urge" Kose, Senior Solutions Engineer, Revenera
Urge works with product and engineering teams implementing consumption-based and token models in production. He's seen what works when customers start using products in ways you didn't predict, and what falls apart when the pricing model can't keep up.
