Case Study: Media Control predicts bestseller demand with IBM Watson Content Analytics

Using revolutionary social media analytics to predict the next bestseller

media control, an information provider for the entertainment sector, sought to help publishers better predict book demand to avoid costly overprinting or missed revenue from underprinting. Partnering with IBM and using IBM Watson Content Analytics with Enterprise Search, they aimed to develop a social media listening tool to analyze consumer sentiment and forecast sales.

The solution developed with IBM continuously scans over 100,000 websites, using advanced analytics to assess sentiment and predict which books will become bestsellers. This allows publishers to optimize print runs and commission future titles more effectively. For media control, the innovative tool cemented its industry leadership and drove new revenue, while also providing a blueprint for analyzing other media like music and films.

Media Control

Ulrike Altig

CEO