Talk Shop: Why the best AI use cases aren't the shiny ones 

Close's Emily McGuire reveals where AI actually saves time in lifecycle marketing—from Liquid code to data storytelling—and why the best use cases aren't flashy.

Naomi West
Naomi West
Sr. Product Marketing Manager

In this article

Emily McGuire, Senior Lifecycle Marketing Manager at Close, talks through where AI actually saves her time. It's not the flashy stuff. It's the weekly prioritization, the Liquid code that would've taken 10x longer to write, the brand voice GPT that gets her 70% of the way to done.

The real unlock? Using AI to help structure data stories instead of drowning in reports. Emily walks through her monthly snapshot approach: three learnings, clear narratives, no endless spreadsheets that no one understands anyway.

She also gets into the harder questions: what happens to marketing teams when companies think AI can do more than it actually can, how people learn to become experts when AI handles entry-level work, and why she thinks AI will help underdogs and cash-strapped marketers the most.

Her advice for getting started? Just dump everything into ChatGPT and let it help you organize your thoughts. Sometimes that's all you need.

This is part of Talk Shop, a series where lifecycle marketers and customer engagement experts talk through what they're learning as AI reshapes this work.

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