Boosting magazine sales through AI-powered cover design suggestions. We analysed historical data, trends, and preferences to create eye-catching front pages for Bauer Media Group.
noun /ˈbreɪk.θruː/
Improved cover designs lead to increased magazine sales and financial advantages.
AI leverages historical data, trends, and user preferences to optimize cover design decisions.
Algorithms offer effective, time-saving design suggestions that were previously impossible to do manually.
Bauer Media Group, a renowned media conglomerate operating in 13 countries, engages and serves over 200 million people through various platforms including print, online publishing, radio broadcasting, and more. A significant challenge they faced was suboptimal magazine covers leading to decreased sales. The lack of data-driven cover design recommendations contributed to this underperformance in eye-catching front pages.
To overcome financial setbacks due to ineffective cover designs, an AI-powered tool was implemented to streamline and optimize the design process. The innovative AI approach considers historical magazine sales, Google trends, social media insights, and website analytics data to generate recommendations. Furthermore, the tool accounts for the medium (print, digital, etc.) and utilizes predictive analysis to suggest captivating front page designs based on past data.
However here are a few common pain points that we often see, which can be solved through our programs and will lead to an AI breakthrough.
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