Understanding web analytics

For e-commerce, understanding user base behavior is fundamental. Data from web analytics is frequently shown on dashboards that can be altered on the basis of a user persona or time period, along with other factors. These dashboards are then used to make product and market decisions, so the accuracy of this data is of paramount importance. The data can be divided into groups, including the following:

• By examining the number of visits, the proportion of new versus returning visitors, the origin of the visitors, and the browser or device they are using (desktop vs. mobile), it is possible to understand audience data
• Common landing pages, commonly visited pages, common exit pages, the amount of time spent per visit, the number of pages per visit, and the bounce rate can all be used to study audience behavior
• Campaign data to understand which campaigns have generated the most traffic, the best websites working as referral sources, which keyword...