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How Netflix Uses Data to Create Hit Shows
In this episode, Lucas and Luna explore how Netflix uses viewer data to inform creative decisions, from greenlighting 'Stranger Things' to optimizing thumbnail art. They break down Netflix's A/B testing culture, the 'taste clusters' that power its recommendation engine, and why the company spends over $17 billion annually on content. Lucas explains how Netflix treats every show as a product launch, using data to predict success before a single script is written. Luna questions whether data-driven creativity can stifle originality, pointing to canceled fan-favorites…
The skinny
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