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Case study : Understanding audience behavior to enhance content engagement for a media company
BACKGROUND
A digital news platform reaching over 2 million monthly readers faced declining engagement.
Client wanted to understand why audiences disengaged and improve user experience, content relevance, & monetization opportunities.
METHODOLOGY
Analyzed 6 months of user interaction data to analyze scroll depth, and engagement pattern to content type, format, and topic.
Digital ethnography (15 DIs) to analyze how readers interact/consume, areas of frustration/satisfaction.
Regression models to understand engagement drivers (headline structure, image placement, tone etc.)
Desk research to understand latest trends in digital news consumption among various audiences.
OUTCOME
Study revealed 2.5x more article completion rate when received via a direct newsletter link vs. SM.
‘Explainer’ and ‘solution-oriented’ stories retained readers 38% longer than just breaking news pieces.
Suggested templates for optimal mobile readability, content scheduling (e.g. posts suiting late-evening and weekend peaks), ‘reader pause points’ (visual summaries and pull quotes) to sustain engagement.