For the first time ever, brands will be able to understand and react in real-time to users’ emotional responses to their online advertising. Having integrated facial coding software into our platform we can scientifically measure users’ emotions as they view video ads, enabling us to identify and predict which content will generate the best emotional responses. The technology, which has a database of over 300 million face frames, uses Computer Vision and Machine Learning algorithms developed in partnership with MIT to detect facial expressions and head gestures obtained from webcams or mobile cameras. It assesses, analyses and interprets the user’s reactions to content to detect the full range of emotions from joy, discomfort and indifference to rapt engagement. MAPPING OF DATA By using this emotional data and overlaying Ebuzzing Social’s video performance data we have deep insight into the statistical correlations between human emotions and video interactions, such as shareability. This means that we are able to predict the success of your video based on both performance and emotion benchmarks. WHY USE THIS TECHNOLOGY? ¡ Identify the emotional reaction to your video content either before, during or after the creative process. ¡ Predict the performance & shareability of your video based on our model. ¡ Benchmark the performance of your video campaign versus your competitors and industry and vertical norms. BUZZINDEX POWERED BY EBUZZING SOCIAL WWW.EBUZZING.COM
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For the first time ever, brands will be able to understand and react in real-time
to users’ emotional responses to their online advertising. Having integrated facial
coding software into our platform we can scientifically measure users’ emotions
as they view video ads, enabling us to identify and predict which content will
generate the best emotional responses.
The technology, which has a database of over 300 million face frames, uses Computer Vision and Machine
Learning algorithms developed in partnership with MIT to detect facial expressions and head gestures obtained
from webcams or mobile cameras. It assesses, analyses and interprets the user’s reactions to content to detect
the full range of emotions from joy, discomfort and indifference to rapt engagement.
MAPPING OF DATA
By using this emotional data and overlaying
Ebuzzing Social’s video performance data we
have deep insight into the statistical correlations
between human emotions and video interactions,
such as shareability. This means that we are able
to predict the success of your video based on both
performance and emotion benchmarks.
WHY USE THIS TECHNOLOGY?
¡ Identify the emotional reaction to your video
content either before, during or after the
creative process.
¡ Predict the performance & shareability of your
video based on our model.
¡ Benchmark the performance of your video
campaign versus your competitors and industry
and vertical norms.
BUZZINDEXPOWERED BY EBUZZING SOCIAL
WWW.EBUZZING.COM
WWW.EBUZZING.COM