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 Formulating online strategy: This stage is concerned with the online goals, objectives, and standards for the organization or business.Many times, KPIs deal with conversion aspects, but not always. Developing KPI: This stage focuses on using the ratios (and counts) and infusing them with business strategies, referred to as key performance indicators (KPI).The objective of this stage is to take the data and conform it into information, specifically metrics. Processing of data into information: This stage usually takes counts and makes them ratios, although there still may be some counts.The objective of this stage is to gather the data. Usually, these data are counts of things. Collection of data: This stage is the collection of the basic, elementary data.Most web analytics processes come down to four essential stages or steps, which are:

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