What problem does it solve? Cold email campaigns often launch with untested single-variant copy or get optimized on gut feel instead of statistics. This Skill enforces minimum variant counts before launch and applies rigorous significance testing after launch so every campaign decision is data-driven. ## Core Features & Use Cases - Pre-Launch Variant Generation: Creates body and subject line variants for all 4 email positions (Pitch, Nudge, Pivot, Breakup) meeting 3/2/2/2 minimums, with platform-correct spintax for Email Bison or Instantly and a mandatory verification gate. - Post-Launch Winner Analysis: Fetches campaign analytics from Email Bison or Instantly APIs, runs two-proportion z-tests (100+ sends, 95% confidence), and declares winners, trending variants, or insufficient-data states. - Optimization Recommendations: Produces specific, data-backed actions (deactivate losers, scale winners) plus cross-campaign pattern tracking for subject lines, openers, CTAs, and angles. - Use Case: After two weeks of sending, ask which variant is winning; the Skill computes z-scores per position, flags that the Pain Dagger opener leads at 3.46% vs 1.63%, and recommends deactivating the losing variant. ## Quick Start Generate A/B test variants for my 4-email cold outreach sequence and verify each position meets the minimum variant counts.
