The platform uses a predictive algorithm to assess the emotional and business impact of a video or image.

Daivid’s AI models are built by combining facial coding, eye tracking and survey data with computer vision and computer listening APIs. 

GroupM and Nike are among the companies to have used the beta version of the platform.

To use the platform, users upload their content via an API, which analyses the content and offers them an assessment on its likely impact. Information offered by the platform includes a breakdown of the emotions an ad is predicted to generate among target audiences.

Daivid has compiled the data to train its algorithm over the past six years using consumer surveys, facial coding and eye tracking to measure audience panels’ responses to ad campaigns. 

Tom Saunter, global head of creative intelligence at GroupM, said the company has integrated the self-serve platform into its Creative Analytics product suite, and has used an analysis of 3,000 videos to prove that the emotional data can be a ‘strong predictor of media performance’. 

Ian Forrester, chief executive and founder, Daivid (pictured), said the platform offers ‘a simple, fast and cost-effective way to measure, benchmark and optimise the effectiveness of all their content’.