Abstract:
Software for an online content service obtains a plurality of events chronologically generated by a plurality of users of an online content service during a specified period of time. The software identifies any content items associated with each event and annotates each of the content items with (a) a plurality of metadata attributes associated with the content item and (b) a plurality of metadata attributes associated with the online content service. The software sorts the events based on user and based on content identifier and orders the sorted events based on timestamp. The software determines the events that make up a content session for the specific content item and the specific user, using the ordered events for the specific content item and a look-back time period and a look-ahead time period. Then the software generates an analytic based at least in part on the content session.
Abstract:
A system can include a server that includes or is associated with a revenue analysis module. The module can be configured to receive user web browsing session data from a data source. The session data may include page view data, page interaction data, and page referral data. The module may also be configured to determine page referral events, revenue generating events, and relationships between the page referral events and the revenue generating events, according to at least part of the session data. The revenue generating events may include events in which a user interaction with the webpage generates revenue. The module may also be configured to determine revenue generated by the revenue generating events per page referral event of the page referral events, according to the relationships between the page referral events and the revenue generating events.