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Wantent and emotion analysis of audiences

May 01, 2022 - January 01, 2023

Measuring the audience's emotional connection with content.

Project Inquiries

Mathias Teuwen


The challenge: how can we measure audience engagement in a remote and scalable way?

As part of STADIEM's acceleration programme, VRT collaborated with Ukrainian AI-analytics start-up Wantent to measure audience engagement with the programme 99 to Beat. As the programme was adjusted from short-format (5min) to long-format (50min), we aimed to investigate how the structure of longer episodes, the narrative development, and the games themselves were experienced by a test audience. Traditional evaluation methods, however, like focus groups, are not cost-efficient, scalable, and trustworthy enough. This is where Wantent offered a solution.

Wantent is an innovative platform that utilises AI technology, cognitive behavioural psychology, neuromarketing, and sociology for audience engagement analysis. Our AI analyses the reactions of the test audience, their emotions and engagement, while viewing video content. Through these data-driven insights, we provide recommendations to content creators.
Lesha Shaldenko, founder Wantent

The case

Before analysing 99 To Beat, the parameters of the test audience (age, gender, etc.) and the measurement criteria of the content (engagement, emotions, empathy, and attention) were identified by Wantent and VRT’s own audience research department.

The research involved 40 participants that watched the first, second, and tenth episodes, as well as a trailer for the new season of the game show and six short episodes from the previous season, using the Wantent platform and a webcam.

The AI-model analysed the recorded reaction videos. This model recognises the reactions and gaze (eye-tracking) of different respondents.

Finally, the AI model scores the reactions and provides analyses in PDF format, supplemented with graphs, tables, and heatmaps.

Lesha Shaldenko, Founder of Wantent: “We usually work with short-form content such as trailers and advertisements. To successfully execute this project, we developed an adapted platform and created a module that splits long-format videos into scenes.

After a series of studies and evaluations of the audience reactions, we provided VRT with a scoring system and recommendations to enhance the engagement and effectiveness of the show." 

In our quest to transform 99 To Beat from a segment in the programme Iedereen beroemd into a standalone programme, the insights from Wantent were valuable. Which candidates do viewers spontaneously empathise with? Who stands out? Which challenges get more attention? Seeing this mapped out in a data-driven way helps us, creators, to engage in even much smarter storytelling in the next series.
Lin Delcour, Deputy Network Manager of Eén and Canvas