Everything you need to know about SaaS Pricing Lab, including how to calculate SaaS pricing, common mistakes, and real-world examples.
SaaS Pricing Lab is designed for one primary goal: Margin-first pricing with churn and competitor context.
By mastering inputs like price, cost to serve, and target margin, you can deeply model your scenarios to optimize SaaS pricing. In this guide, we break down exactly how it works.
This tool models SaaS pricing for common cases so you can compare tradeoffs quickly.
If your scenario is highly unusual, treat the output as a starting point and validate assumptions before committing.
Unit mismatches (like confusing monthly vs annual inputs) are the #1 error. Label each input before typing it.
If a cost exists in reality (fees, taxes, churn), it must exist in your model inputs. If outputs like gross margin and pricing checks look too good, a missing cost is usually the reason.
Key inputs: price, cost to serve, target margin, and churn.
Be consistent about units (monthly vs annual) and scope (include fees/taxes if they exist in real life).
Compare outputs like gross margin and pricing checks across scenarios instead of trusting one number.
If the decision changes under downside assumptions, build a buffer or revise the plan.