Media & Entertainment | Research & Analytics Services

Leverage SG Analytics’ advanced analytics capabilities to make accurate decisions and accelerate growth

The M&E sector has become synonymous with data and analytics, with customization and changing audience preferences being the new order. Media & Entertainment (M&E) firms require offering compelling solutions and content in an easy-to-access platform. Our research and analytics services ensure that M&E firms are in sync with the changing sector landscape and viewer preferences. SG Analytics helps its M&E customers solve business problems by harnessing disruptive data, artificial intelligence, machine learning, and cutting-edge technologies. We offer deep sector expertise and rich experience in delivering research-led insights through our experienced media sector consultants.

We Deliver Research & Analytics Capabilities for Leading Brands to Be on Top of Emerging Trends

Understanding our audience better

Audience profiling and segmentation
Program choice modeling
Linear TV viewership analysis
Proliferation of content/channel
Network & program CSAT, U&A, and perception
Audience viewing trends (time & attention, content & devices, etc.)

Identifying new streams of monetization

Digital/web platform analytics
Opportunity sizing for OTT content
Recommendation engines for VoD content
App subscription-pricing analytics
Emerging trends tracking

Increasing revenue

Ad-sales forecasting
VOD subscription forecasting
Cannibalization impact of OTT on Linear TV
Advertising customization on OTT devices
Need-gap analysis and whitespace assessment

Engaging the audience better

Social media listening
Auto-classification of customer responses
Mapping digital audience journey
Emotion and intent mining

Improving viewership rating

Ratings forecast
Program spot vs. segment analysis
Promo conversion measurement
Audience churn/survival analytics
Cross-network/program benchmarking

Optimizing marketing spend

Ad campaign effectiveness
Campaign monitoring
Digital marketing ROI optimization
A/B testing of innovative campaigns

Services We Provide

Research

Market intelligence

We deploy quantitative and qualitative techniques to gather intelligence across audiences, customers, competition, and marketplace

Business strategy

Our sector experts develop customized frameworks that help businesses make data-driven decisions for long-term growth

Analytics

Analytical roadmaps

Our data scientists and AI/ML specialists construct an organization-wide data and analytics roadmap

Execution capabilities

We execute our expertise across marketing analytics, consumer analytics, digital & web analytics, social media analytics, big data engineering, and visualization services

Technology

Cognitive and logic-based automation

Across data & research-related workflows

Build custom applications

Quality assurance management

How Do We Drive Results for Our Clients?

Our services span across the media value chain from broadcasting, production, marketing, ad-sales, contract negotiations, digital platforms, etc. The muscle that we have built around analytics enables our clients to make informed business decisions. We deliver solutions that:

Help understand and engage your audience better (audience analytics/behavior analytics, digital campaigns, engagement)

Identify new streams of monetization (video recommendations, digital/web platform analytics, subscription analytics)

Improve your viewership rating (subscriber retention, ad-sales, content strategy, and analytics)

Increase your revenue (ad-sales and promotions)

Optimize your marketing spends(marketing/promotion effectiveness)

Our Context-driven Approach & Sector Expertise Enhance Analytics Consumption & Deliver Rich Insights

Our approach to M&E engagements

Connect the business problem to a solution framework
Determine the required internal and external data sources
Construct KPIs, constraints, and assumptions for the solution

Automate data integration across sources via ETL pipeline automation
Conduct feature engineering using ML algorithms
Capture market data via ad-hoc surveys and interviews
Deploy API-based web-scraping for social media data

Leverage ML techniques for auto-conversion of unstructured to structured data
Deploy business/marketing tools and predictive models
Review underlying trends in data to confirm/reject hypothesis
Create self-service visualization tools

Aggregate key findings to determine market trends
AI-driven auto-insight generation
Draft comprehensive reports punctuated with a storytelling format for easy consumption