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AI in advertising may miss 'why' by focusing on 'what'

The advertising industry is investing billions in technologies like identity graphs and AI to connect more consumer data, assuming this will lead to better insights and outcomes. However, this approach may overlook a crucial factor: understanding the 'why' behind consumer actions, not just the 'what'. Research suggests that data capturing consumer motivations and psychological drivers, rather than just behavioral exhaust, can yield significantly more accurate predictions. AI

IMPACT Suggests a shift in data strategy for AI-driven marketing, focusing on psychological drivers over behavioral exhaust for better prediction accuracy.

RANK_REASON The article is an opinion piece discussing a trend in the advertising industry and its potential flaws, rather than reporting on a specific event or release.

Read on Forbes — Innovation →

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AI in advertising may miss 'why' by focusing on 'what'

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Gary Drenik, Contributor ·

    The Race To Connect Consumer Data May Be Missing The Real Signal

    AI’s edge may come not from more consumer data, but from better signals on consumer emotions, expectations and intentions that reveal why demand is forming