For the purposes of recording data and billing, Localytics has the concept of a "data point". Below we'll outline what is and is not a data point. For a more detailed overview, we recommend you review "Data Types" in our Analytics article.
What constitutes a data point?
Event occurrences: Every time Localytics logs a tracked Event within the app, it will generate a timestamped record, i.e. a data point. For example, if your app is set up to track an Event called "Added To Cart", every time someone does this in your app it will generate a data point.
Session Open and Session Close: Every time a user starts a session in your app, Localytics automatically creates a data point to record the time the Session starts, along with other contextual information. Every time a user closes a session, the same thing occurs. As a result, every completed session in the app generates two data points.
What does not constitutes a data point?
Event Attributes: When your app is configured to track an Event, you can optionally associate additional information as an Event Attribute. For example, in the "Added To Cart" example, you might have "Product Name". These are not additional data points; they are simply additional information attached to the Event data point.
Custom Dimensions: Just as you can attach Attributes to Events, you can also attach Custom Dimensions, which are like "sticky" Attributes that persist across all Events. These are not additional data points.
Screens: While you can tag screens in your app, screen views are unique in terms of how they are captured, stored, and used downstream. Screen views are not individually timestamped and their only purpose is to power the Flows report. Localytics keeps track of the order in which tagged screens have been viewed and then attaches the sequence of Screen views to the Session Close record. As such, tagged Screen views are not data points; it also means that Screen views cannot be used in the same way as tagged Events to power Funnels, Segments, or marketing campaigns.
Again, the "Data Types" sub-section in our Analytics article provides a more complete overview.