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Pricing Experiment Plan Template
A structured template for planning, executing, and analyzing pricing experiments that test willingness to pay, packaging options, and revenue impact.
IPBy IdeaPlan Editorial · Methodology
Updated 2026-03-05
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Frequently Asked Questions
How long should a pricing experiment run?+
At minimum, run until you reach statistical significance on your primary metric. For most B2B SaaS products, this means 2-4 weeks. Also account for billing cycle effects: if you are testing annual plans, you need longer observation windows for churn data.
Should we test pricing on existing customers?+
Generally, no. Price changes for existing customers carry relationship risk. Test on new signups first, then decide on a migration strategy for existing customers based on the results.
What if the experiment shows higher prices do not reduce conversion?+
This is common and valuable. Many products are underpriced. If raising prices maintains conversion, you have found free revenue. Consider running a follow-up test at an even higher price point to find the ceiling.
How do we handle customers who see different prices and compare notes?+
Minimize this risk by testing on new signups only and keeping variants geographically separated if possible. If customers do notice, be transparent: "We are testing different pricing options to find the best value."
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