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Predicting ad liking and purchasing intent

Published by Affectiva

The paper presents a large-scale analysis of facial responses to video ads, exploring how emotions captured via webcam can predict ad liking and purchase intent. By analyzing over 3.7 million frames from 12,000 responses to 170 ads, it highlights the potential of automated emotion tracking in predicting marketing effectiveness. The research shows that positive expressions, especially those aligned with brand appearances, significantly impact purchase intent, offering insights into optimizing ad designs for better consumer engagement.

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Related Categories Artificial Intelligence, AI Platforms, Sales & Marketing, Predictive Analysis, Customer Segmentation, Lead Scoring, Marketing Automation, Personalization, Sales Forecasting, Social Media Analytics, Customer Insights, Ad Targeting, Healthcare

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