When a user interacts with the Prenly Reader, metric events will be triggered, containing event data, i.e. information about the interaction. The event data includes event attributes as well as contextual data.
An event has a name that describes what happened when the interaction was done. For example, when a user opens an article in article reading mode, an event with name article_open is triggered.
To simplify data extraction, we categorize event data into two distinct types. Most external analysis tools distinguish between these two categories:
This separation is done for several reasons:
Each event is associated with a set of event attributes, containing detailed information about the specific event being triggered. This allows analyzing what happened, how it happened and details about entities involved such as an article, publication, banner etc.
Event attributes are thoroughly documented on the event reference page.
Examples of contextual information that may be collected:
The details are documented on the contextual data page.