🎯 Objective
Build a scalable, multi-channel marketing engine to:
Increase organic traffic and visibility
Scale YouTube as a learning & lead gen platform
Optimize paid marketing to drive high-quality leads
Establish Great Learning as a thought leader in ed-tech
🧩 Core Challenges
Low initial traffic (~10K sessions/month)
Fragmented content strategy
High dependency on paid ads for leads
Underutilized YouTube channel (~40K subs)
Poor integration between content, SEO, video & performance channels
Audience Insights
Content Gaps: Core keywords like “Python Interview Questions,” “Digital Marketing Course,” and “Data Structures in Java” were either missing or poorly targeted.
Scattered Topical Clusters: No clear topical depth across domains like AI, data science, programming, or career guidance.
High Domain Authority, Low Utilization: Great Learning had strong DA (~60+), which was under-leveraged due to lack of SEO-focused content.
Poor Internal Linking: Blog posts existed in silos, limiting authority flow and crawlability.
📈 Key Achievements
Blog Traffic Growth:
Increased monthly sessions from 10,000 to 1 million+ by executing a robust SEO-driven content plan targeting career keywords, high-intent queries, and evergreen topics.YouTube Channel:
Scaled subscribers from 40K to 5 lakh (500K) by transforming YouTube into a full-fledged acquisition channel with career advice, tech explainers, and course-driven content.Lead Generation via Paid Marketing:
Built and scaled full-funnel paid marketing campaigns that significantly increased lead flow while optimizing CPL across Google, Meta, and native platforms.Team Leadership:
Led a 22-member marketing team, aligning SEO, video, paid media, and content into one cohesive growth engine.
🧠 Growth Strategy Highlights
Built SEO clusters around job titles, tools, and career transitions (e.g., “Data Scientist Salary in India”, “Python for Data Science”).
Created YouTube videos that fed into lead magnets and remarketing.
Built scalable templates for content production to rapidly expand our footprint.
Constantly A/B tested landing pages to improve conversion rates across the funnel.
Used keyword-level data and CRM insights to improve campaign ROI.
