Analytics Capabilities to Benefit M&E Companies
Customer and marketing analytics
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Multidimensional audience segmentation (e.g., by demographics, preferred content, engagement level, used device).
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Optimized targeting by identifying trends and patterns in content consumption, including segment-specific content preferences, viewing habits, and seasonal trends.
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Customer lifetime value analysis.
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Monitoring the performance of marketing campaigns, e.g., click-through rates, ad revenue, conversions.
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Predictive analytics to forecast and prevent customer churn.
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Real-time personalized content recommendations powered by big data and ML/AI engines.
Content performance analytics
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Analyzing content performance, e.g., media coverage, sales volume, the number of views, streams, clicks, and shares, watch time, completion rates.
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Benchmarking content performance against competitors.
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NLP-powered audience sentiment analysis based on data from social media and reviews, e.g., to identify popular topics for new content creation.
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Forecasting the performance of potential content based on historical data and current market trends.
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What-if modeling, e.g., to simulate the results of content localization.
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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.
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Attributing revenue to generation streams, e.g., advertising sales, subscription fees.
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Multidimensional costs analytics, including expenses for content production, marketing, and distribution.
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Profitability analysis with ROI and profit margin calculation.
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Reports on the financial performance of licensed content and profit-sharing agreements.
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Financial modeling and forecasting, e.g., for budgeting, financial risks mitigation.
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Content production analytics with insights into scheduling, resource allocation, cycle time, and budget distribution.
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GenAI capabilities to create and optimize content.
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Analyzing employee performance, including productivity, turnover, and performance vs. compensation analysis.
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Insights into employee training processes and outcomes with skill gaps identification and employee-specific training recommendations.
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Detecting illegally copied and distributed content and providing instant alerts.
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Continuous monitoring of data access, sharing, and usage and alerting on non-compliance with personal customer data protection regulations like GDPR and CCPA.