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How Mathrubhumi Increased Reader Engagement by 41% with a Measurement-First Content Recommendation Strategy
About Client
Mathrubhumi is one of India’s leading regional media and publishing organizations, serving millions of readers across web and mobile platforms. With extensive coverage spanning news, business, lifestyle, and current affairs, the organization continuously invests in digital innovation to deliver engaging content experiences and strengthen audience loyalty.
Business Challenge
As part of the Google News Initiative (GNI) Audience Growth Program, Mathrubhumi partnered with Google and Tatvic to strengthen audience engagement through data-driven content experiences.
Although the platform attracted significant traffic, many readers exited after consuming a single article, limiting session depth and overall content discovery.
The key challenges included:
- Limited content recirculation after the first article
- Lower views per user and session depth
- No structured mechanism to guide readers toward relevant content
Goal
Build a scalable, measurement-first content recommendation strategy that leverages user behavior, Google Analytics 4, and AI-powered content intelligence to increase engagement, improve article recirculation, and deepen reader journeys across digital properties.
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