This data is typically compared against key performance indicators for performance and is used to improve a website or marketing campaign's audience response. On-site web analytics measures the performance of a specific website in a commercial context. This includes its drivers and conversions for example, the degree to which different landing pages are associated with online purchases.
On-site web analytics, the more common of the two, measure a visitor's behavior once on a specific website.It includes the measurement of a website's potential audience (opportunity), share of voice (visibility), and buzz (comments) that is happening on the Internet as a whole. Off-site web analytics refers to web measurement and analysis regardless of whether a person owns or maintains a website.There are at least two categories of web analytics, off-site and on-site web analytics. Other times, the online strategy affects the data collected. So, sometimes the data that is available for collection impacts the online strategy. The goal of A/B testing is to identify and suggest changes to web pages that increase or maximize the effect of a statistically tested result of interest.Įach stage impacts or can impact (i.e., drives) the stage preceding or following it. Experiments and testing: A/B testing is a controlled experiment with two variants, in online settings, such as web development.
These strategies are usually related to making money, saving money, or increasing market share.Īnother essential function developed by the analysts for the optimization of the websites are the experiments