How Machine Learning Solutions for Ad Testing Compare to Neuromarketing Solutions
We can already expose participants to marketing material and analyze their physiological responses to assess its quality. But can we replace the human in the chain with machine learning algorithms and instantly obtain the same insights for a fraction of the costs?
In this presentation, Ingrid Nieuwenhuis contrasts EEG and eye-tracking results against Machine Learning (ML) powered insights. Spoiler alert: neuromarketing expertise is essential to building good ML solutions, and ML expertise can drastically improve neuromarketing solutions too.
What the audience can learn:
- Why ‘cognitive ease’, ‘brand attention’ and ‘ad breakthrough’ are key to ad effectiveness
- The pros and cons of neuromarketing and ML-powered metrics for consumer insights
- How to create good (video) ad content that can draw and hold attention and activate the brand simultaneously
See the full agenda for September 29
See the full agenda for September 30
Register now »
We can already expose participants to marketing material and analyze their physiological responses to assess its quality. But can we replace the human in the chain with machine learning algorithms and instantly obtain the same insights for a fraction of the costs?
In this presentation, Ingrid Nieuwenhuis contrasts EEG and eye-tracking results against Machine Learning (ML) powered insights. Spoiler alert: neuromarketing expertise is essential to building good ML solutions, and ML expertise can drastically improve neuromarketing solutions too.
What the audience can learn:
- Why ‘cognitive ease’, ‘brand attention’ and ‘ad breakthrough’ are key to ad effectiveness
- The pros and cons of neuromarketing and ML-powered metrics for consumer insights
- How to create good (video) ad content that can draw and hold attention and activate the brand simultaneously
See the full agenda for September 29
See the full agenda for September 30
Register now »