experimentation11 skills

Experimentation Skills

Marketing skills tagged with “experimentation”. Install any skill into Claude, Cursor, or your favorite AI agent.

#SkillScore
1
Build data-driven growth strategies with AARRR metrics and experimentationStrategy

Build data-driven growth strategies using AARRR pirate metrics, growth loops, North Star metrics, and ICE experimentation frameworks.

4.5
2
Improve page conversion rates with CRO analysisStrategy

Analyze and optimize marketing pages across 7 CRO dimensions to increase conversions. Prioritized recommendations with copy alternatives and test ideas.

4.3
3
Set up and design A/B tests and experimentsAnalytics

Design valid A/B tests with hypotheses, sample size calculations, variant specs, and result analysis for experiments.

4.3
4
Design and analyze A/B tests with statistical rigorAnalytics

Design A/B tests, calculate sample size, analyze results, and plan roadmaps with statistical rigor and frameworks.

4.3
5
Optimize signup flows for conversionAnalytics

Reduce signup friction with field optimization, copy testing, and flow redesign strategies grounded in CRO principles.

4.3
6
Generate A/B test variants for affiliate contentAnalytics

Generate A/B test variants for affiliate headlines, CTAs, and landing pages with hypotheses and test plans.

4.3
7
Design statistically valid A/B tests and experimentsAnalytics

Learn to design statistically valid A/B tests with hypothesis frameworks, sample size guidance, and result interpretation.

4.3
8
Design and validate A/B tests with statistical rigorAnalytics

Design statistically valid A/B tests with hypothesis frameworks, sample size calculators, and analysis checklists to move business metrics.

4.3
9
Design and run A/B tests and growth experimentsAnalytics

Design statistically valid A/B tests, manage experiment backlogs, and build a growth experimentation program with ICE prioritization and playbook documentation.

4.3
10
Create and analyze marketing experiments with auto-promoted winnersAnalytics

A/B test framework with automated winner detection, playbook promotion, and multi-channel experiment tracking via bootstrap CI and Mann-Whitney U testing.

4.3
11
Design and execute A/B tests with statistical rigorAnalytics

Design statistically rigorous A/B tests with hypothesis frameworks, sample size calculations, and result analysis.

4.0