Online video analytics

[1] The study of consumption patterns helps video publishers gain insights into the end-user preferences.

These insights are then used to drive monetization by ad placements, and to tailor future videos to maximize viewer engagement.

It aims to answer questions such as: The following metrics are of real interest both for on-demand and live videos: Along with other obvious dimensions (like Country, Browser, Device etc.

User Screen contains personal information related to a specific viewer, such as location (country), IP address, operating system (OS), web browser version, first and last view dates, and average engagement.

Quality of experience analysis helps companies determine their network infrastructure and encoding requirements.