Grow your business using AI
NAGRA Insight leverages AI to drive subscriber value, content acquisition and management, operations and advertising. Through these business actions we help service providers make better business decisions.
NAGRA Insight leverages AI and generates business actions in four key areas to help service providers make better business decisions and drive subscriber value, content acquisition and management, operations and advertising.
Drive subscriber value
NAGRA Insight generates a coherent profile that quantifies behaviour, tastes and trends. It even predicts propensity to churn to help service providers create personalised experiences that increase user satisfaction and marketing actions that convert more effectively, to improve acquisition, retention and service usage.
Drive content
Subscriber happiness is paramount. With NAGRA Insight, service providers can increase the usage of their services, quantify the value of every channel, programme, catch-up content or VOD content by combining consumption and purchase behavior data, as well as learn how to optimise content packaging.
Drive operations
Insight optimises resource-intensive areas by improving operations across the content delivery chain to increase speed of diagnosis of network issues, optimise CDN costs and manage the quality of video displayed on OTT services.
Drive advertising
NAGRA Insight, through AI, can increase programmatic TV advertising revenues by generating highly targeted and relevant micro-segments, better manage available ad inventory and increase advertising value.
Related News
Press release
NAGRA Showcases a Comprehensive Approach to Smart, Simple and Efficient Pay-TV Business Transformation at NAB 2019
Solutions for cloud-based operations, active content monetization, anti-piracy services and watermarking on display on Booth SU3624.
The many benefits AI can bring to pay TV
While opinions vary on the impact and possible applications of AI for the industry, executives agree that there’s never been a more critical time for service providers to review their data and analytics strategies.
AI algorithm face recognition
To what extent can we trust algorithmic decisions
At a time when humans are becoming more reliant on AI - for instance  mobile phones speech recognition, real-time speech translation, computer vision in self-driving cars — trust and transparency have become key issues to be addressed.