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ab-testing

Use when designing experiments for subject lines, offers, cadences, or journeys.

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MikeCheng1208/BattleTree
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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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