Decide which pricing problem you are trying to solve
A price change can address different problems: attracting a new segment, simplifying an offer, improving contribution, or charging more fairly for usage. Write the problem before choosing the direction of the change. Low conversion can also come from unclear value, poor onboarding or the wrong acquisition channel.
Choose cases that share the mechanism rather than merely the price point. A subscription, a usage-based service and a one-time purchase create different expectations. Record who pays, when they pay, how the unit is defined and whether existing customers are affected.
Do the contribution calculation before celebrating demand
Consider an illustrative product priced at 100 with variable cost of 40 per unit. Its contribution is 60. Cutting price to 80 reduces contribution to 40, so it needs 1.5 times as many units to preserve total contribution, assuming variable cost stays constant. That is a 50% volume increase, not the 25% increase needed merely to preserve revenue.
The example excludes fixed costs, tax, refunds, acquisition spending and capacity limits. Your own model should state which costs move with volume and which do not. If a discount attracts customers with different support needs or retention, a single unit-cost assumption may be inadequate.
Look for the consequences the headline leaves out
For each case, separate acquisition from retention, initial purchases from repeat purchases, and new customers from existing ones. Examine changes to the offer alongside changes to price. A bundle redesign and a price cut occurring together cannot easily tell you the effect of the price alone.
List possible side effects before running a test: customer confusion, support demand, migration between plans, refund requests or a change in perceived positioning. These are considerations to investigate, not predictions that every price change will cause them.
Define a limited experiment and a decision rule
Specify the eligible audience, the offer, a comparison and the measurement window. Use a primary measure that matches the business question, such as contribution per eligible visitor, and add guardrails appropriate to the offer. Set the method and analysis before seeing results so you are less tempted to pick the most favorable metric afterwards.
If traffic is too small for a reliable conclusion, report the uncertainty and use qualitative evidence to refine the next test. A competitor’s outcome is not a substitute for your own measurement. The useful output of case research is a clearer experiment and a better understanding of risk.
Use this worksheet for your decision
Copy this into your notes. Leave unknowns visible instead of filling gaps with guesses.
Problem the change should solve: Customer / payment unit / offer: Price and variable cost assumptions: Contribution before and after: Required volume change: Comparison and eligible audience: Primary measure and guardrails: Review window and decision rule:Download the text worksheet ↓
Find evidence in the archives
Choose a supporting case and a counterexample with a different outcome. Read their sources and check whether their conditions match yours.
Cases to practice with (read and check the underlying sources):
Bring your question to the cases
Search a company or topic in the app, read the cases and ask follow-up questions to compare approaches.