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AI personalization crosses the line when customers can't understand why they're receiving specific treatments. Kathryn Rathje, Partner at McKinsey, explains how marketers often expose too much data instead of focusing on relevance. She discusses the value exchange principle for ethical personalization and why context matters more than data volume. The conversation covers dynamic billboard targeting, spectrum-based personalization approaches, and avoiding the "mad libs of data" trap that makes AI-driven outreach feel invasive rather than helpful.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
By I Hear Everything4.6
154154 ratings
AI personalization crosses the line when customers can't understand why they're receiving specific treatments. Kathryn Rathje, Partner at McKinsey, explains how marketers often expose too much data instead of focusing on relevance. She discusses the value exchange principle for ethical personalization and why context matters more than data volume. The conversation covers dynamic billboard targeting, spectrum-based personalization approaches, and avoiding the "mad libs of data" trap that makes AI-driven outreach feel invasive rather than helpful.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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