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.
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