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.
We help brands, publishers and agencies to move fast and efficiently, to maximize their ROI on ad attentiveness
Get latest news and updates