Reimagining Broadcast & OTT Success With Data, AI, and Technology

Powering the Next Chapter of OTT Evolution
As digital consumption surges, traditional broadcasters and OTT platforms must evolve to stay competitive. At SG Analytics (SGA), we empower media platforms with AI-powered solutions that drive real-time insights, optimize content monetization, and elevate viewer experiences. From subscription-based to ad-driven models, we support industry leaders in unlocking strategic value through data, technology, and research-led innovation.
Problems We Solve
We help streaming and broadcast firms navigate complexity and scale with precision by addressing core challenges across:
Fragmented Data Ecosystems
Building pipelines that unify, clean, and prepare data from disparate sources, such as first-party data, Nielsen, social media, and platform data, into a single, analytical source of truth.
Audience Retention & Engagement
Applying machine learning to predict churn, analyze sentiment, and optimize content strategies for maximum viewer stickiness.
Ad Sales Enablement
Delivering real-time performance analytics and program-level insights to empower ad sales teams with data-backed decisions.
Content Investment Decisions
Helping teams identify high-performing shows and optimal promotion strategies to improve ROI and audience growth.
Outcomes We Deliver
Our integrated capabilities drive measurable results across the broadcast and OTT lifecycle.
Unified, Decision-Ready Data Assets
We consolidate data from varied sources into a single, clean layer, unlocking scalable analytics and operational efficiency.
Smarter Content Programming
We build AI models that forecast which shows perform , when to air them, and how to promote effectively, enhancing audience growth strategies.
Predictive Engagement & Retention
Churn prediction models and sentiment analysis tools deliver foresight on audience behavior, enabling proactive engagement.
Efficiency Across the Stack
By automating tagging, reporting, and content performance analysis, we reduce time-to-insight and operational overhead.
Capabilities We Have
We combine the power of data, AI, technology, and research to help media platforms stream smarter, monetize better, and stay ahead of changing viewer habits.
Data
We engineer robust pipelines for data origination, aggregation, and modernization across first-party data, Nielsen, social platforms, and internal systems, delivering analytics-ready datasets that power every decision.
Artificial Intelligence
From churn prediction and content recommendation engines to social sentiment tracking and ad impact modeling, our AI solutions bring intelligence to every user touchpoint.
Technology
Our solutions leverage platforms like AWS, Snowflake, Databricks, and Airflow to deliver real-time, scalable infrastructure that integrates seamlessly into complex data ecosystems.
Modernized Research
We conduct cross-platform audience studies, competitor benchmarking, and content diagnostics to identify what’s working, what’s not, and what’s next.
Segments We Serve
Subscription-Based OTT (SVOD)
Boost subscriber retention and personalization with predictive models and funnel diagnostics.
Traditional Broadcast Networks
Modernize legacy systems, enhance programming decisions, and transition to hybrid digital strategies with confidence.
Ad-Supported Platforms (AVOD)
Optimize ad delivery and maximize CPM through audience intelligence and campaign performance analytics.
Our Ins(AI)ghts
Case Study
Social Media Analytics: Enhancing Digital Engagement for a Media Giant
SG Analytics enabled a large media and entertainment conglomerate to sharpen its digital content strategy by extracting competitive insights from cross-platform social media analytics. Leveraging AI-driven performance indexing, machine learning trend analysis, and proprietary tools, SGA built a dynamic content intelligence framework. The engagement delivered higher content engagement, week-over-week competitor benchmarking, and more efficient resource allocation—fueling a data-driven approach that enhanced audience reach and strengthened market leadership.

Case Study
Data-Driven Content Investment: Optimizing Budget Allocation with AI
SG Analytics partnered with a global media and entertainment leader to transform its programming budget allocation across digital, TV, and streaming platforms. Using Gen AI for advanced genre classification, machine learning for viewership prediction, and integrated third-party research, SGA developed a unified data model to guide content strategy. The solution led to higher viewer engagement, reduced spend inefficiencies, and ROI-driven content decisions, all delivered through an interactive dashboard enabling real-time, data-backed budget optimization.
