email-ab-test-analysis
Skill0 starsChanged 4 days agoNo licenceView on GitHub
Use when someone asks who won an email A/B test, whether a result is real or just noise, why one variant beat another, what to test next, or why a campaign performed worse or better than an earlier one. Also when a test's arms were never formally split and nobody is sure how to read it, when two tests run months apart need comparing, when an email's performance moved up or down without an obvious cause, or when deciding whether a test has run long enough to call. Covers Customer.io, HubSpot, and any ESP whose numbers can be read off a screen. For tests where the arms are LLM prompts rather than fixed copy, see llm-email-workflow.
In this repository76 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 6 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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