How to run experiments

One variable at a time · minimum 100 sends per variant before judging · log every result here (wins AND losses).

Backlog

Experiment Hypothesis Status Result
Subject A/B: statement vs question Question form ("is {{account.name}} planning a tier-1 push?") lifts opens ≥5% Queued —
Persona-split sequences Token-launch / AI-startup / APAC variants with matched playbooks lift replies vs generic Queued — build after 2 weeks of baseline data —
Step-1 links: zero vs one Zero links in first email reduces spam-blocks Running implicitly (current copy = zero links); compare spam-block rate vs legacy baseline 1.2% —
Funding-signal sourcing Recently-funded companies reply ≥2× generic ICP Queued —
Send-time optimization APAC morning sends (SGT) beat default schedule for APAC leads Queued —
LinkedIn-first track Contacts without verified emails convert via LinkedIn connect + playbook share Queued —
Breakup email removal Step 5 generates late replies; verify it isn't driving unsubscribes instead Monitor after first cohort completes (~Aug 5) —

Results log

(empty — first results expected ~Aug 2026)