Pricing experiments are among the highest-leverage things a product team can run. A 10% price increase, if done correctly, can outperform months of feature development. But a botched pricing rollout can confuse customers, trigger churn, and create billing chaos.
Start with a hypothesis, not a price change
Before changing any numbers, define what you are testing and what success looks like. Are you testing whether customers will pay for a premium tier? Or whether usage-based pricing increases expansion revenue?
Best for: Teams with a clear value metric
Limitation: Hypothesis-free experiments produce inconclusive data