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Mangomolo, a leading global OTT video platform provider, has significantly expanded its artificial intelligence (AI) and machine learning (ML) capabilities, enabling broadcasters to swiftly enhance viewing experiences and automate content recommendations.
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With these advancements, broadcasters using Mangomolo’s platform can now make highly personalized content suggestions based on factors such as time, content category, and an increasing array of user viewing habits data points. This automation leverages deep analytics and data capture, driving higher viewership and retention rates.
The latest AI and ML updates coincide with improvements in content scheduling automation, geo-restrictions, ticketing systems, and category templates. Additionally, custom dashboards tailored to specific job roles have been introduced, enhancing platform functionality while streamlining user experiences and boosting operational agility.
“We’re leveraging AI, ML, and automation to empower broadcasters with the tools they need to rapidly shape viewing experiences,” stated Wissam Sabbagh, CEO of Mangomolo. “Each update enhances broadcasters’ agility, visibility, and control over content management and presentation. Our goal is to expand our platform’s capabilities while ensuring ease of use, allowing anyone to monetize their audio-visual content. This isn’t just AI for AI’s sake; we’re committed to supporting our customers’ growth and fostering innovation in digital experiences with no barriers to entry.”
Mangomolo has also expanded its analytics suite to capture more detailed user behaviors, including audience reactions such as likes, loves, and dislikes. This data is visualized for broadcasters to support rapid, data-driven decision-making, helping them determine which video content to invest in and which programs are delivering a return on investment (ROI). The platform’s big data analytics and reporting features provide users with real-time visibility into viewer behavior across all devices, coupled with in-depth business intelligence.
John Tarakdjian, Managing Director of Mangomolo, emphasized the company’s customer-centric approach, stating, “We closely listen to and collaborate with our partners and customers to develop new features and capabilities. Our strong customer relationships ensure that every upgrade is focused on delivering outcomes across the value chain. We handle the technology so broadcasters can focus on meeting their business goals.”
With Mangomolo’s Analytics Module, users can monitor how viewers interact with content in real-time and assess audiences based on factors such as interests, age, gender, social status, and location. This enables broadcasters to personalize content effectively and optimize service delivery, backed by a variety of Standard Report Formats highlighting Key Performance Metrics related to audience engagement, content effectiveness, and more.
