View our policy.
Realeyes ad hoc project plans and bigger supply deals include the following point on data ownership:
"All data collected under this Agreement will be uploaded to Realeyes’ data servers over a secured connection. Reporting will be made available to the Client either via password protected client account or an API as defined under the SA. All intellectual property rights and any other rights and interest in any data collected for and within the Project which is de-identified of Client specific identifiers, as well as any derivate works prepared by or for Realeyes from such data, shall remain at all times for all purposes with Realeyes. Realeyes shall have the right to disclose, and transfer and assign any rights and interests in, such de-identified data to any third party and to use such data in any form and for any purposes, including, without limitation, for quality assurance, enhancing its reporting capabilities and otherwise supporting the development, improvement and enhancement of its software, technologies, methods, processes, algorithms, ideas and inventions."
The purpose of this point is to allow Realeyes to reference fully anonymised results data for its software development, which is absolutely crucial for our operating model. Because we are constantly refining and improving our algorithms that provide the analysis, we are constantly retesting our entire back catalogue of respondent videos. Essentially, the videos of the respondents remain our property and we are able to aggregate the anonymised analysis of all test videos with the analyses of all other videos in our database to provide overall and category norms.
Any videos that you provide to be tested are entirely confidential. Neither the videos, nor the specific emotional analysis that we provide on them, can be made available to other parties in isolation because by definition they are not “de-identified of client specific identifiers”.
Realeyes has NDAs with our panel providers that cover confidential business information, and we also implement industry best practice by ensuring people can only view media once, and are unable to go back to access media that have already been tested. Though not fool proof, these simple but efficient measures are the best available in online research today.