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How Brands Use Predictive Analytics to Anticipate Customer Needs
Episode 101 dives into predictive analytics in marketing. Lucas and Luna explore how brands like Amazon and Netflix use data to forecast customer behavior before it happens. They break down the difference between descriptive and predictive models, explain lookalike audiences, and discuss ethical boundaries. Specific examples include Amazon's anticipatory shipping patent, Netflix's recommendation algorithm, and how small businesses can start with basic tools. A concrete stat: 73% of customers expect brands to understand their needs — predictive analytics makes that possible…
The skinny
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