
OpenAI vs Google: What Facial Coding Tells us About Two Super Bowl Ads
Discover how facial coding was used to analyze OpenAI and Google’s very different Super Bowl Ads, showing the power of combined survey and facial coding software.

Discover how facial coding was used to analyze OpenAI and Google’s very different Super Bowl Ads, showing the power of combined survey and facial coding software.
Discover how FaceReader Online was used to track emotional responses to mental health campaigns. Learn how facial expression analysis reveals audience engagement across different tones and target groups.
FaceReader Online offers a scientific valid approach to consumer research. Understanding subtle expressions can help gain insights in purchase intent. In this blog several scientific papers are discussed.
Marketeers can benefit from accurately measuring attention towards an advertisement. This is possible without eye tracking technology. Read more about the validated attention metric from FaceReader Online.
In advertising, understanding your target audience is crucial. By using facial coding technology, marketers can gain unique insights into emotional reactions. In this blog, we explore how you can visualize different results for your target groups.
Gen Z is an important market segment. Therefore, understanding what captures their interest is crucial for marketers who want to design effective ads. Read more on how to approach this using attention measurement in this research project.
Good commercials have a catchy storyline that elicits emotional reactions and grabs attention. With FaceReader Online, these two responses can be easily measured simultaneously. This blog shows you how you can use FaceReader Online metrics for effective ad analysis.
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