Mediagenix Ratings Artist
Instant, AI-powered performance predictions for all content types and target demographics.
Mediagenix Ratings Artist instantly and accurately provides predictive analytics and scoring for all content types, with dedicated predictions per target demographic. This award-winning AI tool utilizes state-of-the-art machine learning models trained on rich historical data infused with content and context metadata.
- Steer clear of ineffective programming decisions and suboptimal content scheduling.
- Directly influence ad revenue, and avoid compensation for overestimations.
Mediagenix Ratings Artist instantly and accurately provides predictive analytics and scoring for all content types, with dedicated predictions per target demographic. This award-winning AI tool utilizes state-of-the-art machine learning models trained on rich historical data infused with content and context metadata.
The Mediagenix Ratings Artist advantage
Traditionally, consumer intelligence teams rely on running average analyses to predict future ratings. Mediagenix understands this is cumbersome, time-consuming and prone to errors.
- Save time and resources: Free up your team for higher-level analysis.
- Optimize scheduling: Make data-driven decisions for peak viewership.
- Maximize ad revenue: Confidently negotiate based on accurate forecasts.
- Our collaboration with Talpa Network’s Consumer Intelligence team yielded an ML model engineered to perfection, boasting exceptional accuracy across various content types and target demographics.
Mediagenix Ratings Artist:
- Eliminates the need for manual estimation
- Offers dedicated predictions per target demographic
- Leverages ML for superior accuracy, resulting in a 70% FTE enablement
- Adapts swiftly to last-minute schedule and contextual changes
- Customizable for all content types and target demographics
The Mediagenix advantage
- Seamless Integration – Ratings Artist seamlessly integrates into existing workflows with the Mediagenix Platform. Each morning, the system updates predictions for up to 90 days in advance, ensuring proactive decision-making.
- Human-in-the-loop approach – At Mediagenix, we prioritize a human-in-the-loop approach. While our ML model generates highly accurate predictions, our users retain the autonomy to override them based on their domain expertise.
- Empowering users with BI Studio – BI Studio empowers users with robust analytics tools to analyze past and future ratings comprehensively. Qualitative data assets and iterative KPI visualizations aid in evaluating channel performance and content lifecycle.
- Transparent performance monitoring – Our dashboards offer insights into individual predictions and confidence scores, preventing an ML black-box situation. Users can monitor the ML model’s performance with ease.
Insights
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The best of both worlds: modularity and integration
The three Mediagenix solutions—Strategize, Manage, Engage—follow the content lifecycle from beginning to completion. They are standalone SaaS suites with capabilities that complement each other like building blocks.
While each SaaS suite can operate independently, they are also pre-integrated with the Mediagenix Platform to boost workflow efficiency and create a unified data foundation.
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Manage
Manage content value as one team. Streamline collaborative workflows that transcend company boundaries. Stay on the same page, with one source of truth.
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Engage
Optimize audience engagement across on-demand, FAST, linear, and social channels with multiplatform scheduling efficiency, smart automation and integrated reporting.
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Let’s talk about how you can make your content work smarter, get everyone in sync, do more with less, expand your reach, and stay ahead of changes.