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Zhongwei Li
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---
name: ab-testing
description: Use when designing experiments for subject lines, offers, cadences, or
journeys.
---
# Experimentation & A/B Testing Skill
## When to Use
- Validating new subject lines or creative.
- Testing segmentation hypotheses (persona vs behavior).
- Optimizing cadence, timing, or automation triggers.
## Framework
1. **Hypothesis** define expected uplift + rationale.
2. **Metric Selection** primary (open/click/conv) + guardrails (unsubs, spam).
3. **Sample Sizing** ensure stat significance (min 500 recipients per variant or use power calculator).
4. **Execution** randomize, keep variants isolated, limit simultaneous tests.
5. **Analysis** use z-test or Bayesian uplift; document learnings.
## Templates
- Experiment brief (hypothesis, segments, KPI, risk guardrails).
- Variant table (control vs test inputs, creative asset links, owner).
- Calculator sheet for minimum detectable effect + sample size.
- Post-test debrief doc capturing learnings + rollout plan.
## Experiment Ideas
- Subject line vs preview text combos.
- CTA placement (hero vs footer).
- Personalization depth (basic vs dynamic modules).
- Wait times between touches.
## Tips
- Run no more than two tests per journey simultaneously.
- Recycle learnings into playbooks + automation templates.
- Segment results by persona to catch hidden signals.
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