Finding the Midnight Snacker : Agentic Marketing

Summary

Summarized wtih ChatGPT

Even more striking, the AI agent learned to offer smaller discounts (15% vs. 35%) to users showing higher purchase intent, automatically optimizing for both conversion and profit margin.

Highlights from Article

Amazon and Netflix attributed 35% and 75% of their revenue to their recommendation systems. This is a profound & counterintuitive shift in how we think about marketing.In a recent case study led by Aampe, an AI agent with this type of segmentation sent far fewer messages than traditional systems while achieving better results.

Even more striking, the AI agent learned to offer smaller discounts (15% vs. 35%) to users showing higher purchase intent, automatically optimizing for both conversion and profit margin. Streak marketing, urging users to read a few pages each day, for example, works wonders too.

Led by a team of human behavior researchers at Harvard, US Army, & NATO, Aampe publishes their learning about agentic marketing here.

All material owns to the authors, of course. If I’m highlighting or writing notes on this, I mostly likely recommend reading the original article, of course.

See other recent things I’ve read here.