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Using computer vision and machine learning, measure opted-in audience attentiveness and engagement as they view your video content
Using the front-facing camera of opted-in participants, attention levels and facial reactions are measured as they experience your ads at home ‘in the wild‘, within context on their own device.
Participant agrees or disagrees to opt-in to continue to take part in the study after reading the Privacy statement.
2
Participant follows instructions to ensure that their face is visible. In the background Realeyes qualifies that the participant matches the profile of the desired sample.
3
Participant answers multiple choice questions prior to viewing any video content.
4
Participant clicks, scrolls and swipes within the context of the desired platform(s), creating a realistic viewing experience.
5
Participant answers Brand Recognition and Ad Recall questions.
6
Participant views a sequence of ‘clutter’ videos, including the video(s) to be tested, measuring the second-by-second reactions of their views.
7
Participant is asked to give a 1 to 5 star rating for Ad Lift, Brand Lift along with a multiple choice Sales Lift question.
These 7 steps illustrate a full end-to-end participant test experience. Surveys and clutter videos are optional.
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