Kaltura has revealed its new Analytics for Admins platform, which will allow users new capabilities, including user-level reports. The new program will enable businesses to use analytics to better understand viewer behavior and then how to tailor metrics accordingly.
With the Analytics for Admins tool, it would be possible to measure the ROI of a given video, the video could be paired with its watch time and its sales. Organizations will also be able to use the new platform to use data regarding viewing times. This would allow companies to better model trends, as well as use up to date analytics for live viewing events. The company has also started investigating integration with machine learning.
The Kaltura video platform already offers a number of streaming services with big names including, HBO, Phillips, SAP, Standford and more.
Video Platform Data Processing
Kaltura Launches Its Analytics for Admins Program
Trend Themes
1. User-level Reports - The Analytics for Admins platform provides user-level reports, offering businesses valuable insights into viewer behavior.
2. ROI Measurement - With the new platform, businesses can measure the return on investment of their videos, enabling them to make data-driven decisions.
3. Integration with Machine Learning - Kaltura's investigation into machine learning integration opens up opportunities for advanced analytics and personalized video experiences.
Industry Implications
1. Streaming Services - The Kaltura video platform's expansion into user-level analytics enhances the streaming services industry by providing actionable data to improve user experiences.
2. Media and Entertainment - The ROI measurement capabilities of Kaltura's Analytics for Admins program present an opportunity for media and entertainment companies to optimize their video content for monetization.
3. Technology and Saas - Kaltura's integration of machine learning with its video analytics opens up disruptive innovation opportunities in the technology and SaaS industry, enabling automated insights and personalized recommendations.