The following types of data can be analyzed in digital analytics:
Traffic: Includes information on the number of visits, source of traffic, time spent on the website, pages viewed, etc.
Behavior: Includes information on user navigation, interaction with content, abandonment rate, etc.
Demographics: Includes information on the age, gender, geographic location, etc. of users.
Conversion: Includes information about actions taken by users, such as purchases, signing up for an email list, downloading a resource, etc.
Device data: Includes information on the type of device used by users, screen resolution, operating system, etc.
Referral sources: Includes information about the source of traffic, such as search engines, social networks, paid advertisements, etc.
Search results: Includes information on the keywords used by users to find the website, click-through rates, etc.
These are some of the types of data that can be analyzed in digital analytics, and are used to understand user behavior and improve user experience and digital marketing effectiveness.