Developed advanced analytics framework, pipeline, and processes to predict content performance and personalize article monetization units. Features included:
- Related ads ML module (by category)
- Title predictors based on historical search traffic and ad performance (high traffic / low ad yield)
- Content URL monthly cohort performance analytics (by CTR, RPM, CPC)
- Predictive ad performance models (using google adSense and analytics)
- Dynamic content layouts
Contributed to 125% YoY revenue growth by maximizing content yield (by monthly cohort - revenue per article), enabling data driven A/B testing, and building an affiliate advertising pipeline across vertical coverage: finance,travel, pets, local markets, commerce, content marketing.
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