AI-Driven Content Optimization for Bauer Media Group
Maximising magazine sales and audience engagement by implementing AI-powered content optimization for topic selection. We utilised historical data and analytics to predict hot topics for article creation in various categories.
noun /ˈbreɪk.θruː/
Solved for good
Improved Topic Selection
Utilized AI algorithms to predict customer-relevant topics, leading to increased engagement and magazine sales.
Data-Driven Decisions
Leveraged historical magazine sales, trend data, and website analytics to make informed topic choices.
Medium Consideration
Optimized content for both print and digital formats to better cater to diverse customer preferences.
Topic Selection Pain Point
To write or not to write?
Bauer Media Group, a media conglomerate operating in 13 European countries, offers services in publishing, radio broadcasting, and more. They serve over 200 million people, but faced the issue of low magazine sales due to suboptimal topic selection. With a wealth of data sources, such as historical sales, trend data, and website analytics, there were no data-driven topic suggestions for engaging content at the time.
AI-Powered Optimization
The solution...
Traditional methods of hot topic prediction led to financial disadvantages for Bauer Media Group. To address this, our AI-powered tool analyzed a multitude of factors such as historical sales, trend data, and website analytics that manual methods could not handle. Additionally, the algorithm considered the medium, while predicting customer-relevant topics across various categories. As a result, writers could create more relevant content and boost magazine sales.
What can be solved?
Everything.
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.
Get started with AI
Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget.
