Challenge

A media company faced the challenge of gaining a deeper understanding of user behavior on its online portals. The goal was to build a reliable data foundation for strategic decisions and to optimize user interactions more effectively.

Solution

  • Data preprocessing and exploratory analysis to ensure data quality

  • Development of user-specific KPIs to evaluate interactions on the portals

  • Execution of cluster analyses to identify homogeneous user groups

  • Derivation of targeted measures to improve user engagement and portal content

Impact

  • Improved transparency of user behavior and interactions\

  • Identification of clearly defined user groups\

  • Established the basis for targeted communication and enhanced content strategy

Next Steps

A link to the GitHub repository will be added shortly. It will include:

  • Detailed problem description

  • Data and analysis workflows

  • Reproducible code

🔗 Download both the notebook and dataset from our GitHub repository: Here.

A special thank you to Edmond Tefong for preparing the solution and Python code for this case study.