@yangyi: This blogger called real屠龙的胭脂井, in this sharing at Fudan University, gave an incisive analysis of brand marketing. It's clear that after a lot of reduction, she found the more fundamental things. I wonder if these students will only understand the value of this sharing many years later. This blogger has a background in neuroscience and cognitive science. I think this is crucial in the AI era...

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Blogger real屠龙的胭脂井, in her sharing at Fudan University, deeply analyzed the underlying logic of brand marketing, emphasizing the use of her background in neuroscience and cognitive science to support decision-making through modeling and data in the AI era, and criticized the misconception of marketing professionals relying on vanity metrics.

This blogger is called real屠龙的胭脂井 In this sharing at Fudan University, the analysis of brand marketing was incisive It's clear that after a lot of reduction, she found the more fundamental things I wonder if these students will only understand the value of this sharing many years later This blogger has a background in neuroscience and cognitive science. I think this is crucial in the AI era, especially using modeling to support decision-making I believe everything should be done this way, and marketing should be even more data-driven But the strange thing is that most practitioners lack this most basic understanding They often rely on wrong vanity metrics to guide their foolish work
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Cached at: 07/11/26, 09:21 AM

This blogger is called real屠龙的胭脂井.

In this Fudan University talk, their breakdown of brand marketing is sharp and incisive—clearly the result of stripping away layers to get at something more foundational.

I wonder if the students in the audience will only truly appreciate the value of this talk years later.

This blogger has a background in neuroscience and cognitive science, which I think is crucial in the AI era—especially using modeling to support decision-making.

I believe that’s how any field should be approached, and marketing especially should rely on calculated data.

Yet the strange thing is that most practitioners lack even this most basic understanding, often guiding their foolish work by false vanity metrics instead.

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