Using GPT to Analyze Amazon Purchases Reveals Deep Reader Personas
mimi10v3 · x · 2026-08-08
A developer scraped all their Amazon book purchases and asked GPT to analyze the expanded reading list.
The model accurately profiled the reader as extremely curious, highly systems-oriented, intellectually independent, and drawn to synthesis. It also highlighted a striking combination of masculine-coded technical reading (e.g., Probabilistic Robotics, Cybernetics, options pricing) alongside feminine-coded domestic and aesthetic reading (e.g., sewing, Jane Austen, gardening, romance novels). The model concluded that the reader has no interest in maintaining a clean intellectual identity, embracing anything useful, beautiful, strange, or fun.
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