E-Commerce A/B Testing
Designs, executes, and evaluates statistically sound A/B tests across e-commerce product pages, pricing, ads, and checkout flows.
The E-Commerce A/B Testing skill equips AI agents with rigorous experimentation frameworks specifically tailored for online merchants across Amazon, Shopify, and other major platforms. It assists sellers and growth marketers in prioritizing test hypotheses with ICE, PIE, and RICE frameworks, calculating sample size and statistical significance, establishing safe price-testing guardrails, and optimizing listing elements to drive higher conversion rates and revenue growth.
主な機能
01Creative A/B testing playbooks for Meta, Google, TikTok, and email
02Platform-specific testing protocols for Amazon Experiments and Shopify
03Sample size, power, and statistical significance calculations
04Hypothesis prioritization frameworks including ICE, PIE, and RICE
05798 GitHub stars
06Pricing test methodologies with built-in margin guardrails
ユースケース
01Calculating sample sizes and duration required for pricing sensitivity tests
02Building a prioritized experimentation roadmap to improve store checkout conversions
03Designing statistically valid title and main image tests in Amazon Manage Your Experiments