Revenue Impact Simulations

Model the revenue impact of pricing changes before implementing them.

7 min read

What Are Revenue Impact Simulations?

Revenue impact simulations use your current MRR, conversion, and churn data to estimate what would happen to revenue if you changed prices, added a tier, or changed discount rules. They don’t replace tests but reduce risk by quantifying tradeoffs before you ship.

What You Need

Inputs: current MRR by plan/segment, conversion rates (e.g. trial-to-paid by plan), churn by plan/segment, and elasticity assumptions (how much volume changes for a given price change). Use historical data where possible; for new tiers, use benchmarks or conservative assumptions.

Running a Simple Simulation

Define the change (e.g. “+10% on Plan A,” “new $X tier”). Apply assumed conversion/churn impact (e.g. “10% price increase → 5% churn increase and 3% conversion drop”). Calculate new MRR and compare to baseline. Run best/base/worst cases so you see a range.

Best Practices

Document assumptions clearly. Validate with past price changes if you have data. Use simulations to narrow options, then validate with an A/B test or phased rollout. Re-run when you get new conversion or churn data.