Social Media Marketing

What Will You Learn?

• Foundation: Establishes platform-specific analytics literacy (Instagram, YouTube, LinkedIn) as the non-negotiable starting point. Distinguishes between "vanity" and "value" metrics.
• Progression: Advances to cohort analysis, funnel optimization, ROAS tracking, and predictive analytics. Teaches how to translate raw data into actionable insights and compelling client reports.
• Breaks down the unique algorithms, content formats, and growth levers for Instagram (Reels, carousels), YouTube (Shorts, retention, subscriber flywheel), and LinkedIn (network effects, B2B content hierarchy).
• Unifies this knowledge under cross-platform amplification strategies, teaching how to repurpose content and drive traffic across an ecosystem.
• Integrates AI as a practical tool throughout the workflow: for post optimization, growth hack ideation, content calendar generation, trend prediction, and business tasks like proposal writing.
• Maintains a clear philosophy: AI generates options and accelerates processes, but the human analyst must audit, refine, and own the final strategy and client relationships.
• Frameworks for A/B testing, growth experiments, and rapid iteration are central. Students learn to formulate hypotheses, run controlled tests (on dummy/client accounts), and scale winners based on statistical significance.
• Progresses from individual post optimization to building 90-day content matrices, content pillar mapping, and balancing trend-riding with evergreen content.
• Evolves into crafting full client growth plans with SMART goals, KPIs, and multi-channel campaigns.
• The final module translates skills into a viable business, covering client onboarding, service packaging & pricing, contract drafting, portfolio creation, and cold outreach. The capstone is a full client campaign simulation.