OTT video platform provider Mangomolo has expanded its artificial intelligence (AI) and machine learning (ML) to enable broadcasters to automate personalisation using deep analytics and data capture, increasing viewership and retention.
AI and ML updates
Mangomolo has implemented AI and ML updates that bring significant benefits to users. These updates automate content scheduling, geo-restrictions, ticketing systems, category templates, and customisable dashboards for specific job roles, enhancing the user experience and efficiency.
“We’re using AI, ML, and automation to enable broadcasters to move faster when shaping viewing experiences. Each update empowers broadcasters with greater agility, visibility, and control over how they manage and present content to their audiences. We’re expanding our capabilities while making sure that our platform continues to be easy to use and that anyone can monetise their audio-visual content,” said Wissam Sabbagh, CEO of Mangomolo.
Audience analysis
Mangomolo has expanded its analytics suite to track and visualise user behaviours and audience reactions to content, supporting data-driven decision-making and content analysis.
Mangomolo's platform's big data analytics and reporting provide real-time visibility into viewer behavior across all screens, offering in-depth business intelligence. Users can observe audience interaction in real-time and their profile, such as interests, age, gender, social status, location, and other parameters, enabling precise personalization of content and service optimisation.
“It is our closeness to customers and their viewers that make every upgrade and advancement focused on outcomes across the value chain. We take care of the technology, and broadcasters get a suite of capabilities designed to help meet their business goals,” said John Tarakdjian, Managing Director of Mangomolo.“
