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Analytics Capabilities to Benefit M&E Companies

Customer and marketing analytics

  • Multidimensional audience segmentation (e.g., by demographics, preferred content, engagement level, used device).

  • Optimized targeting by identifying trends and patterns in content consumption, including segment-specific content preferences, viewing habits, and seasonal trends.

  • Customer lifetime value analysis.

  • Monitoring the performance of marketing campaigns, e.g., click-through rates, ad revenue, conversions.

  • Predictive analytics to forecast and prevent customer churn.

  • Real-time personalized content recommendations powered by big data and ML/AI engines.

Content performance analytics

  • Analyzing content performance, e.g., media coverage, sales volume, the number of views, streams, clicks, and shares, watch time, completion rates.

  • Benchmarking content performance against competitors.

  • NLP-powered audience sentiment analysis based on data from social media and reviews, e.g., to identify popular topics for new content creation.

  • Forecasting the performance of potential content based on historical data and current market trends.

  • What-if modeling, e.g., to simulate the results of content localization.

  • Automated monitoring and segmentation of the required KPIs, e.g., cost per subscriber, profitability per book volume or series episode, cash flow by sales channel.

  • Attributing revenue to generation streams, e.g., advertising sales, subscription fees.

  • Multidimensional costs analytics, including expenses for content production, marketing, and distribution.

  • Profitability analysis with ROI and profit margin calculation.

  • Reports on the financial performance of licensed content and profit-sharing agreements.

  • Financial modeling and forecasting, e.g., for budgeting, financial risks mitigation.

  • Content production analytics with insights into scheduling, resource allocation, cycle time, and budget distribution.

  • GenAI capabilities to create and optimize content.

  • Analyzing employee performance, including productivity, turnover, and performance vs. compensation analysis.

  • Insights into employee training processes and outcomes with skill gaps identification and employee-specific training recommendations.

  • Detecting illegally copied and distributed content and providing instant alerts.

  • Continuous monitoring of data access, sharing, and usage and alerting on non-compliance with personal customer data protection regulations like GDPR and CCPA.

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