Pricing Experiments
Designs and evaluates controlled e-commerce price tests to optimize revenue and customer lifetime value.
The Pricing Experiments skill transforms Claude into a specialized e-commerce price-test methodologist, helping businesses design defensible A/B price tests, willingness-to-pay studies, and bundle sensitivity analyses. It balances short-term conversion metrics with long-term customer lifetime value (LTV), enforcing critical ethical guardrails and legal compliance regarding price discrimination. By integrating with existing sales and margin data, it provides rigorous frameworks for randomization, hypothesis testing, and margin-based decision-making to ensure pricing strategies are both optimized and sustainable.
Key Features
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02Long-term LTV versus short-term conversion impact modeling
03Automated guardrail generation including grandfathering policies and stop-rules
04Ethical price-test design frameworks to prevent illegal price discrimination
05Integrated margin and ROAS analysis for comprehensive risk assessment
06Multi-unit randomization strategies across visitor, session, and account levels
Use Cases
01Designing an A/B test for a flagship product's price increase
02Evaluating the impact of discount levels on long-term cohort retention
03Analyzing the trade-off between volume and margin for new bundle structures