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Media solutions backed by deep industry knowledge and experience working with top Fortune 500 companies

We provide key data analytics offerings to Networks, OTT Apps, and Brand Agencies. We offer Be-spoke solutions to enable decision-making through actionable insights and recommendations. We cover the complete value chain of data-led decision-making by harnessing the power of data through Research, Analytics, and Data Science.

Our Impact

How We Conducted Analysis of YouTube Video Thumbnail Performance and Identified the Impact of Characters and Background on Click-Through Rates (CTR) for a Media Conglomerate

IMPACT

Our analysis shows that thumbnail images play a significant role in convincing people to watch a video. Having a specific character in the thumbnail has a significant impact on whether people decide to watch a particular video.

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How We Helped in Enhancing Social Media Content Performance and Provided Insights on Improving the Promotional Strategy

IMPACT

Our analyses allowed the client to make informed decisions, resulting in improved content promotions, leading to better outcomes and staying ahead of the competition

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Client Testmonials

SG Analytics helped us to save a significant amount annually by implementing ML-based automated classification to predict remediation classes basis content of the customer feedback.

Automation of monthly and weekly analysis of key business metrics helped the business take timely decisions and saved significant manual intervention.

Head, Data Analytics

A leading American Channel

SGA helped us to build an in-house BI Visualization platform for their social media listening which reduced the manual efforts of aggregating, harmonizing and measuring text-based social media content to drive audience engagement.

The solution also enabled various stakeholders to improve content strategy, determine the best time to post and identify influencers who are sharing their posts on specific platforms.

Director, Data Science

A leading Media Conglomerate

SG Analytics with their expertise in building strong and scalable data pipelines in our ecosystem is highly regarded by Decision Sciences teams across the group.

Over the past few years my team has managed over 30 data engineers from SGA and the high consistency in their work and profiles has proven very valuable (in a very dynamic and very challenging job market).

Director

A global media and entertainment company

What Makes Us Different?

Our solutions have created an impact across the clients by helping in saving costs, improving content performance, reducing consumer complaints, increasing content viewership, and a lot more. We offer services to improve content feedback, consumer complaints, competitive intelligence, content in-demand analysis, audience sentiment, and emotions, and trailer/teaser performance across Linear and OTT.

Media Domain Expertise

Contextual understanding of Media & Entertainment client requirements

Research Solutions

300+ research studies conducted annually for Technology and Media vertical

Advanced Analytics Expertise

Rich experience working with global media conglomerates on advanced data analytics

We are focused on giving powerful yet simplified solutions that help in creating a direct impact for businesses.

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Industry Segments

On-tap delivery of data and insights for media clients

Our Media & Entertainment specific accelerators enable

our customers with actionable insights

for better decisions on Content, Marketing & Customer acquisition

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Our Media Offerings

We support M&E firms across platforms and channels, with advanced analytics & insights, data engineering and research

Networks
OTT Apps
Brand Agencies

Areas We Cater To

Content Acquisition

Programming Inputs

Audience Insights

Marketing Support

Content Feedback

Holistic Viewership

Holistic OTT + TV Viewership View

One-stop viewership across OTT + TV data - shows, movies, trailers, and others
Comparative analysis between TV & OTT - viewership for trends and insights for Cord Cutters
Understand the viewership volume and trend by TG and recommend any changes in the programming for an increased holistic view

Programming Inputs

Slot recommendations – for new shows (by performance) for better reach and frequency
Owned show scheduling - recommendations to arrest viewing leakages to competitor shows
Analysis of show clutter and synergistic content

TV Viewership Analysis

‘Day of the week’, and ‘Time slot of the day’ analysis by Genre, Sub-Genre, Shows, and Movies
Show and movie performance dashboard - find underperforming shows and movies
Viewership pattern analysis - anomalous viewership, low viewership, etc.
Viewership improvement recommendations

Content In-Demand Analysis

Proactive insights on sub-genres (TV) - performance from social data and ratings
Analysis of renewal, canceled and dropped shows (across competition)
Demand score model - for ‘shows in demand’ by audience and sub-genres

Audience Sentiment on Content

Audience sentiment models on granular OTT content – using ML models
Social chatter extraction & curation - key discussion themes and key audience emotion
Customized ‘social buzz’ dashboards – engagement, reach, emotions & themes across channels

Trailer/Teaser Performance

Trailer & Teaser analysis - In-depth analysis of performance on TV by engagement, sentiment
Driver analysis – for low engagement & reach
Performance benchmarking – teaser / trailer for similar content

Areas We Cater To

Content Acquisition

Marketing and Social Media

Audience Insights

Retention and Acquisition

Consumer Experience

Content Marketing

Content Feedback

Data engineering of content:
- Content integration of feedback across sources
- Categorizing feedback, creating scores for each category e.g., actors, storyline, etc
Content recommendations - basis audience insights and competitive intelligence

Consumer Complaints

Viewer complaint segregation – using app reviews, social brand pages and others
Topic modeling – scores across complaint categories
Severity analysis – across complaint categories to prioritize response and actions

OTT Competitive Intelligence

Sentiment models (ML-based) - Tracking sentiments and chatter on competition and owned content
Recommendations on content marketing strategy

Content In-Demand Analysis

Proactive insights on content sub-genres’ - performance from social data and ratings
Content acquisition strategies based on:
- ‘Free content’ analysis
- Cancelled, Dropped, or ‘Not Renewed’ (competitor) shows, fit for acquisition
Audience interest scores across shows

Audience Sentiment and Emotions

Audience sentiment models on granular OTT content – using ML models
Social chatter extraction & curation - key discussion themes and key audience emotion
Customized ‘social buzz’ dashboards – engagement, reach, emotions & themes across channels

Trailer/Teaser Performance

Trailer & Teaser analysis - In-depth analysis of performance on TV by engagement, sentiment
Driver analysis – for low engagement & reach
Performance benchmarking – teaser / trailer for similar content

Subscription Price Optimization

Analyzing the subscription cost across competitors in OTT
Recommendation Engine for Optimal subscription based on RoI

Ad Relevance by Type, Brand, and Category

Recommending brand, category, and Ad type fit based on content for higher RoI
Viewership and Sentiment based scores for owned content to enable better Ad-sales

Customer Churn Prediction

Building a churn prediction model for OTT subscribers having viewership data
Recommending actions to reduce churn

Areas We Cater To

Content Acquisition

Marketing and Social Media

Audience Insights

Retention and Acquisition

Consumer Experience

Content Recommendation

Ad content Feedback

Ads feedback consolidation - across sources on aired content
Audience sentiment - for brand Ads using ML-models
Insights on key discussion themes - on Ads of interest + drivers of emotion/sentiment

Voice of Customer (Brand Perception)

Brand perception analysis from Social Media
Analysis of VoC - into actionable categories (quality, experience and others)
Analytics of VoC drivers - towards product and messaging improvements

Brand lift study

Brand lift studies - understand Ad recall, Brand Recall, Purchase intent, and other key metrics
Insights on recall & intent uplift - across campaigns and impact on sales
Benchmarking the recall against the industry

Media Planning

Media Plan inputs - e.g., channel bouquet, RODP selections, Missing shows, to maximize RoI
Plan refinements using Alternate data - Social engagement data for show selections
Niche show/movie recommendations - in advance, through social intelligence

Marketing effectiveness

Social page suggestions - maximize ad placement relevance
Recommendations on best-fit influencers & celebrities - for brand promos on social pages
Collaboration inputs for Brand and Fan pages - for higher reach and RoI

Impact Property Analysis

Impact property inclusion/exclusion analysis - for better audience engagement and recall
Ad-spot suggestions & schedule for impact properties - better GRPs @ lower cost
Impact property analysis - w.r.t competition for recommendations on efficacy and RoI

Networks
OTT Apps
Brand Agencies

Areas We Cater To

Content Acquisition

Programming Inputs

Audience Insights

Marketing Support

Content Feedback

Holistic Viewership