Introduction

The media industry is rapidly evolving, and data analytics is key to making informed decisions, optimizing content performance, and driving revenue. This course equips professionals with AI-powered tools, predictive analytics, real-time data tracking, and audience segmentation strategies to stay ahead in the competitive digital landscape.

Course Objectives

By the end of this course, participants will be able to:
✔ Understand the role of data analytics in media strategy and audience insights.
✔ Use AI and machine learning to analyze and predict content performance.
✔ Leverage Google Analytics, social media insights, and real-time dashboards.
✔ Implement A/B testing and conversion rate optimization (CRO) strategies.
✔ Explore predictive modeling, automation, and data visualization for media growth.

Who Should Attend?

✔ Digital media professionals and content strategists.
✔ Social media managers and marketing analysts.
✔ Journalists, broadcasters, and media executives.
✔ Data analysts and business intelligence specialists.
✔ Entrepreneurs and decision-makers in media and telecom.

5-Day Course Outline

📌 Day 1: Fundamentals of Data Analytics in Media

• Introduction to Data Analytics in Media & Entertainment
  • How data shapes content strategy, audience targeting, and advertising.
  • The role of big data, AI, and machine learning in media analytics.
• Key Metrics & KPIs for Media Analytics
  • Measuring engagement, retention, impressions, and conversions.
  • Understanding real-time analytics and cross-platform tracking.
• Data Collection & Processing
  • Ethical data usage and privacy compliance (GDPR, CCPA).
  • Using APIs, first-party data, and third-party analytics tools.
• Hands-on Workshop:
  • Setting up Google Analytics & Data Studio dashboards.

📌 Day 2: Audience Insights, Personalization & AI-driven Analytics

• Understanding Audience Behavior & Segmentation
  • Analyzing demographics, interests, and behavior patterns.
  • Using AI for hyper-personalization and content recommendations.
• Predictive Analytics & Audience Engagement
  • Leveraging machine learning models for trend forecasting.
  • AI-powered recommendation engines (Netflix, YouTube, Spotify case studies).
• Personalization Strategies for Media & Content Optimization
  • Adaptive content and AI-driven dynamic experiences.
  • Case studies: How Netflix, TikTok & Instagram use AI for engagement.
• Hands-on Workshop:
  • Building an audience segmentation model using AI tools.

📌 Day 3: Social Media & Digital Advertising Analytics

• Measuring Social Media Performance & ROI
  • Analytics for Facebook, Instagram, LinkedIn, TikTok, YouTube, Twitter (X).
  • Using social listening tools for sentiment analysis & trend spotting.
• AI-Driven Social Media Insights & Automation
  • AI-powered tools for content optimization & ad targeting.
  • A/B testing social media ads for performance improvement.
• Advertising Analytics & Performance Tracking
  • Google Ads, Meta Ads, TikTok Ads – measuring effectiveness.
  • Attribution models: First-touch, last-touch, multi-touch attribution.
• Hands-on Workshop:
  • Running a social media campaign analysis with AI tools.

📌 Day 4: Video, Streaming, and Web Analytics

• Analyzing Video & Streaming Data
  • Metrics for YouTube, OTT platforms, and live streaming services.
  • Video engagement, watch time, and retention analytics.
• Website & Content Analytics for Media Platforms
  • Google Analytics 4 (GA4) for tracking user behavior.
  • Heatmaps & session recordings (Hotjar, Crazy Egg).
• SEO & Organic Traffic Analysis
  • Measuring organic search visibility using Google Search Console & SEMrush.
  • Content optimization for search engines & voice search.
• Hands-on Workshop:
  • Optimizing a video content strategy based on data insights.

📌 Day 5: Advanced Data Visualization, AI & The Future of Media Analytics

• Data Storytelling & Visualization Techniques
  • Creating interactive dashboards with Power BI & Tableau.
  • Presenting data-driven insights for executive decision-making.
• AI-Powered Analytics & Automation in Media
  • How AI and predictive models shape content strategies.
  • Using automation for real-time content performance tracking.
• The Future of Data Analytics in Media
  • Web3 & Blockchain analytics for digital media.
  • AI-generated content and the impact of deep learning on media trends.
• Final Hands-on Workshop:
  • Developing a data-driven media strategy & reporting framework.

Final Assessment & Certification

• Participants present a comprehensive media analytics report based on real-world data.
• Successful candidates receive a Certified Data Analytics in Media Specialist certificate.