Monetizing new experiences is all about value capture and alignment. Depending on the stage and adoption of your product, Simulations can help you navigate first-time monetization, or turn pricing into a critical growth lever, rather than an operational roadblock. 

Early products: transitioning from legacy pricing

Navigating the shift from legacy subscription pricing to a usage-first monetization strategy is all about risk tolerance and mitigation. If you’ve just launched a new AI agent, folding this functionality into the price of your existing seat-based subscription won’t scale – as product adoption grows, so do your costs.

Introduce usage-first pricing via a scenario in Orb Simulations. This will allow you to monitor product adoption and costs over time, and build a business case for when and how to price a new product, while staying aligned to your business goals and risk tolerance. 

In the example below, by introducing a usage-price(s), I now have the optionality to consider:

  1. Standalone pricing – charge for new products directly to de-risk the rest of my offerings
  2. Hybrid pricing – reduce fixed fees alongside my usage based price(s) to reduce barriers to entry while maintaining repeatable revenue

Growth-stage products: finding your value metric

For products entering the growth + scale stage, monetization is all about aligning product pricing with product value. Especially for AI builders, this means evaluating and transitioning between a few different metric types:

  • Cost-centric – pricing is directly tied to the unit economics of your product. In the early stages when adoption is low, the cost of using your new product or feature is passed through to your end customer. 
  • Usage-first – pricing is directly tied to overall adoption and usage, and typically commands a higher rate than strictly cost-centric pricing.
  • Value-based / outcome-based – pricing is directly tied to outcomes and product value. When your customers win, so do you. This typically commands the highest price point, and encourages further use of your product.


In Orb Simulations, model out pricing for each metric as a separate scenario in the simulation. Comparing the results side by side will highlight the differences, implications, and tradeoffs of pricing on each metric.

Mature products: tune rates to the market

Even for new products, especially innovative AI-enabled experiences, the ever changing market conditions and competitive pressure require constant refinement of your pricing. 

To simulate rate changes for existing prices, make a copy of your existing pricing in a scenario. Then, edit the individual rate or pricing model. Optionally, duplicate the scenario to simulate other pricing changes. These simple tools allow you to quickly model out new pricing hypotheses and experiment with your pricing model.