Last commit on September 8, 2026·Created on January 21, 2026
irinabuht12-oss/marketing-skills
“A technical framework for validating A/B test results and campaign structures.”
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#243
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TL;DR
This collection provides tools for performance marketing managers to determine the statistical significance of ad variations on Google and Meta. It focuses on removing guesswork from experiment outcomes by calculating sample size requirements and identifying data fragmentation in ad set structures.
By automating hypothesis generation and segment breakdowns, the skill helps practitioners move from raw test results to actionable campaign optimizations with mathematical confidence.
WHO IT'S FOR
Performance Marketing Managers
analyzing A/B test statistical significance
Paid Search and Social Specialists
optimizing campaign and ad set structures
Growth Marketers
designing statistically valid split tests
Digital Advertising Agencies
auditing client account budget allocations
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
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