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

• Hypothesis – define expected uplift + rationale.

• Metric Selection – primary (open/click/conv) + guardrails (unsubs, spam).

• Sample Sizing – ensure stat significance (min 500 recipients per variant or use power calculator).

• Execution – randomize, keep variants isolated, limit simultaneous tests.

• 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.