Kenyan Radio Consumption is a data-driven audience research project designed to understand radio listening behaviour, audience profiles, consumption patterns, and market trends across Kenya. As a Data Scientist supporting Mediamax Network’s research and commercial functions, I analyze radio audience data to generate qualitative and quantitative insights that can inform programming, marketing, advertising, and sales strategies.
The project examines key dimensions of radio consumption, including listenership levels, station performance, audience demographics, geographic distribution, listening patterns, and changes in audience behaviour over time. Particular attention is given to understanding differences across age groups, gender, counties, and other relevant audience segments. Statistical analysis and data visualization are used to identify trends, relationships, significant changes, and emerging audience opportunities.
The findings are translated into actionable insights that help commercial and sales teams understand who listens, where they listen, when they listen, and what audience segments present the greatest commercial potential. The project also supports comparative analysis of competing stations and helps identify areas of audience growth, decline, and retention.
By combining data science, audience research, statistical analysis, and business intelligence, the project transforms complex radio consumption data into clear insights that support evidence-based decision-making and strengthen Mediamax’s understanding of the Kenyan media and advertising landscape.