Klaviyo published a guide of nine ChatGPT best practices tested by email and lifecycle marketing practitioners (Klaviyo Blog - AI). The practices span QA and strategy review, brand rule layering, event tracking architecture, performance analysis, and persona development. Each practice was contributed by agency leaders and brand-side marketers who have implemented and validated them in production.
Key practices include using ChatGPT to QA lifecycle logic before writing copy to catch overlaps and edge cases; building brand rules in three layers (Custom GPT, project-specific rules, and fact bases) rather than pasting context into each session; briefing the model like a lifecycle marketing director to develop connected strategy across send cadence, audience, creative, and testing; working backward from desired marketing questions to design Klaviyo event architecture; and turning historical campaign data into root-cause analysis and pattern recognition for future tests (Klaviyo Blog - AI). The guide emphasizes that AI accelerates review and discovery but requires human strategists to verify recommendations and apply judgment before launch.
For commerce practitioners, the guide underscores that speed alone no longer differentiates lifecycle programs—strategy depth and orchestration reliability do. Practitioners are also advised to use business plans with strict data protection when integrating AI tools with sensitive marketing data (Klaviyo Blog - AI).