Case Study: US News Media Giant - 100% Organic Growth in a year.
Overview:
A leading US news media giant experienced remarkable growth in organic traffic, scaling from 250K to 600K monthly sessions within just 8 months, and surpassing 1 million monthly sessions thereafter. This case study delves into the strategic steps and innovative solutions implemented to achieve this exponential growth and maintain a competitive edge in a highly saturated market.
Key Strategies and Implementation:
1. Define Search TAM & Identify High-Impact Clusters
- Objective: Capture Share of Voice (SOV) in a competitive landscape.
- Execution:
- Conducted a Search TAM analysis to uncover untapped opportunities.
- Prioritized content clusters and themes in areas with high potential, such as the music industry.
- Mapped these clusters to align with competitor gaps and emerging trends.
2. Fix the Technical Foundation
- Objective: Improve site performance and ensure scalability.
- Execution:
- Structured Data Schema: Integrated schema specific to the music industry to enhance content discoverability.
- Core Web Vitals Optimization: Achieved a 95% score by addressing issues like LCP (Largest Contentful Paint), FID (First Input Delay), and CLS (Cumulative Layout Shift).
- Information Architecture & Content Taxonomy: Redesigned the taxonomy for better contextual relevance and navigation.
- Interlinking at Scale: Established a robust contextual interlinking strategy to improve internal link equity and page ranking.
3. Seamless Migration to a New Tech Stack
- Objective: Ensure a smooth migration while maintaining ranking stability.
- Execution:
- Partnered with developers to migrate the platform to a scalable tech stack.
- Conducted rigorous pre- and post-migration audits to mitigate ranking losses.
4. Automation for Indexing and Ranking Insights
- Objective: Streamline the tracking of massive content production.
- Execution:
- Built automated reporting dashboards to monitor Google Indexing and URL rankings.
- Ensured timely identification and resolution of indexing issues.
5. Optimize for Google News & Discover
- Objective: Dominate Google News and Discover feeds.
- Execution:
- Image and Iconic Person Analysis: Developed SOPs for image optimization and targeting trending celebrities.
- Trend Analysis: Created frameworks to identify trending news for editorial teams.
- Content Quantum Strategy: Provided data-driven recommendations on content frequency to stay ahead of competitors.
6. Develop Evergreen Content Strategy
- Objective: Ensure sustained traffic growth from timeless topics.
- Execution:
- Identified high-potential evergreen topics using search trend data.
- Created SOPs for optimizing existing evergreen articles and producing new ones.
- Established a system for periodic updates to keep content fresh and relevant.
7. Trending Topics and Discover Optimization
- Objective: Capture and leverage current trends for spikes in traffic.
- Execution:
- Implemented an auto-weekly suggestion system for trending topics.
- Tracked celebrity visibility and competition activity to identify trending themes.
- Advised editorial teams on content volume and focus areas for maximizing Discover visibility.
Results Achieved:
Traffic Growth:
- Scaled organic sessions from 250K to 600K in 8 months.
- Further boosted to 1 million+ sessions per month.
Technical Excellence:
- Improved Core Web Vitals to a 95% performance score.
- Seamless tech stack migration with minimal 10% loss in rankings.
Evergreen Content Impact:
- Consistent traffic generation from evergreen articles, contributing to a 30% increase in organic sessions over 6 months.
Enhanced Discover Presence:
- Increased Google Discover visibility by focusing on trending topics and celebrity-driven demand analysis which help them capture more than 2 Million+ organic session within just first quarter of successful launch.
Operational Efficiency:
- Automated processes for indexing insights reduced manual effort by 40%.
Keywords
SEO Strategies
Information Architecture Demand Analysis
Content startegy
Technical SEO
Google News
Google Discover
Data Automation at Scale