
Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
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Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.
The choice between usage-based pricing and flat fees for AI companies isn't one-size-fits-all, but depends on your business model, customer segments, and value proposition.
Usage-based pricing aligns costs directly with customer consumption, making it particularly effective for AI services where:
Our pricing strategy work has shown that many AI companies benefit from transitioning from subscription to usage-based models, especially when serving diverse customer segments with varying needs.
Flat fee or subscription-based models work better when:
Our pricing strategy framework typically recommends a hybrid approach that combines elements of both models:
For example, one of our case studies involved a $10M ARR infrastructure management software company moving away from lump-sum subscriptions to a more sophisticated model combining user counts and company revenue metrics.
The effectiveness of your pricing model depends heavily on choosing the right metrics. For AI companies, consider metrics that:
When designing your pricing model, we recommend mapping your distinct customer segments and the value delivered to each, ensuring your packaging aligns with segment needs.
When shifting pricing models:
The optimal approach ultimately depends on aligning your pricing strategy with your broader go-to-market strategy and customer value proposition.
Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.